Sam Ransbotham (@Ransbotham) | Twitter
Sam Ransbotham
@Ransbotham
Associate Professor at Boston College; Editor (Data and Analytics; Artificial Intelligence) for MIT Sloan Management Review.

SamRansbotham.com
Joined September 2014
#ai  #academic  #expert  #SMR  #BC 
8 hours ago
A4L uses machine learning to detect coronary artery disease Analytics 4 Life
A4L uses machine learning to detect coronary artery disease
Analytics 4 Life (A4L) is an artificial intelligence company developing non-invasive, cost-effective medical devices. In January of 2017, the company moved into new office space at JLABS @ Toronto, where it employs a team of approximately 20 people, with another 10 located at its U.S. headquarters in Research Triangle Park, North Carolina, and around the Eastern U.S. “We’re really lucky to be at JLABS inside of MaRS Discovery, and the fact that the Vector Institute for Artificial Intelligence recently launched within the same building, it’s very fortunate for us,” says Shyam Ramchandani, Ph.D., Vice President of Clinical Affairs at A4L.

“The idea for A4L came from the company’s Founder and Chief Scientific Officer, Sunny Gupta, who spent time with the Canadian Armed Forces in Kingston,” says Ramchandani. “Canada has strengths in signal analysis due to its involvement in NORAD.” Canada’s signal intelligence facility at Canadian Forces Station Alert, the most Northern permanently inhabited settlement in the world, is where advanced technology is deployed to warn against military threats, such as the presence of nuclear submarines and torpedo launches.

“My family has a history of heart disease,” recalls Gupta, “And one day while working at the Canadian Armed Forces, it struck me: why couldn’t advanced signal analysis apply to physiologic signals emitted by the heart to better diagnose disease?” The company launched officially in July 2012, set to tackle the #1 cause of death in the developed world: heart disease. But as Ramchandani explains, they actually started about a year and a half earlier out of a 100 sq. ft. administrative office above a church in Kingston, Ontario. “It was just three of us and our laptops, exploring ways to analyze biological signals using machine learning,” he recalls. A4L went on to leverage the SOSCIP R&D consortium, which gave them access to IBM cloud computing infrastructure and highly qualified local talent through the TalentEdge Program.
#ai  #startup  #healthcare  #Canada 
8 hours ago
Focus Area – Analytics 4 Life
Transforming CAD Assessment
We are developing and testing a machine-learned algorithm that can non-invasively detect the presence of significant CAD and model areas of ischemia in a single office visit without radiation or accelerating the heart.
#ai  #healthcare  #startup  #applications  #Canada 
8 hours ago
Layer 6 AI (@Layer6AI) | Twitter
Layer 6 AI
@Layer6AI
First SaaS Deep Learning Personalized Recommendation & Search Engine.

Toronto
layer6.ai
Joined September 2016
#ai  #startup  #Canada  #VectorInstitute  #recommendation 
8 hours ago
Reshaping Business With Artificial Intelligence SMR 20170906
RESHAPING BUSINESS WITH ARTIFICIAL INTELLIGENCE
Closing the Gap Between Ambition and Action
September 06, 2017

by: SAM RANSBOTHAM, DAVID KIRON, PHILIPP GERBERT, AND MARTIN REEVES
Disruption from artificial intelligence (AI) is here, but many company leaders aren’t sure what to expect from AI or how it fits into their business model. Yet with change coming at breakneck speed, the time to identify your company’s AI strategy is now. MIT Sloan Management Review has partnered with The Boston Consulting Group to provide baseline information on the strategies used by companies leading in AI, the prospects for its growth, and the steps executives need to take to develop a strategy for their business.
#ai  #status  #outlook  #deployment  #impact  #guidance  #SMR  #2017 
9 hours ago
+Artificial intelligence gets real 20171005
Artificial intelligence gets real
AI’s potential to transform business and society is indisputable. But even as the money pours in and the stakes rise, many executives and directors are still asking: what does it mean for me? Buckle up, as we break down fact from fantasy and offer five guiding principles for AI adoption
By Jonathan Woods
October 5, 2017





Light it up: Ed Clark, former TD Bank CEO and now chair of the Vector Institute, says AI is as revolutionary as electricity in its day




When Jordan Jacobs approached former TD Bank Group CEO Ed Clark in late 2016 with the idea to fundraise for a world-leading artificial intelligence research facility, he found a willing and motivated partner.

“I sent an e-mail to Ed at about 10 p.m. on a Friday saying, ‘Here are the first 20 companies we should go to,’” says Jacobs, CEO of Toronto-based Layer 6 AI, an AI software company. “He called me just before noon on Saturday and said, ‘OK, I’ve raised $70 million this morning. What have you done?’” When the dust had settled only a few months later, the Vector Institute had raised over $150 million in public and corporate money—including pledges from Google, Magna, Loblaw and each of the Big Five banks. Its mandate is to drive the adoption of AI technologies across Canada, facilitate the commercialization of AI research and serve as a centre of gravity for global AI talent.
#ai  #status  #applications  #A+ 
9 hours ago
Prediction Machines: The Simple Economics of Artificial Intelligence Ajay Agrawal et al forthcoming 2018
Prediction Machines: The Simple Economics of Artificial Intelligence Hardcover – April 17, 2018
by Ajay Agrawal, Joshua Gans, Avi Goldfarb

The idea of artificial intelligence--job-killing robots, self-driving cars, and self-managing organizations--captures the imagination, evoking a combination of wonder and dread for those of us who will have to deal with the consequences. But what if it’s not quite so complicated? The real job of artificial intelligence, argue these three eminent economists, is to lower the cost of prediction. And once you start talking about costs, you can use some well‐established economics to cut through the hype.

The constant challenge for all managers is to make decisions under uncertainty. And AI contributes by making knowing what's coming in the future cheaper and more certain. But decision making has another component: judgment, which is firmly in the realm of humans, not machines. Making prediction cheaper means that we can make more predictions more accurately and assess them with our better (human) judgment. Once managers can separate tasks into components of prediction and judgment, we can begin to understand how to optimize the interface between humans and machines.

More than just an account of AI's powerful capabilities, Prediction Machines shows managers how they can most effectively leverage AI, disrupting business as usual only where required, and provides businesses with a toolkit to navigate the coming wave of challenges and opportunities.
#ai  #book  #academic  #AjayAgrawal  #UToronto 
9 hours ago
What to Expect From Artificial Intelligence Ajay Agrawal et al SMR 2017
To understand how advances in artificial intelligence are likely to change the workplace — and the work of managers — in comingg years, you need to know where AI delivers the most value.
#ai  #impact  #implications  #importance  #organizations  #work  #enterprises  #AjayAgrawal 
9 hours ago
Ajay Agrawal U. of Toronto
Professor Agrawal is coauthor of Prediction Machines: The Simple Economics of Artificial Intelligence, with Professors Joshua Gans and Avi Goldfarb (forthcoming, Harvard Business School Press, 2018). He serves as Senior Advisor on Artificial Intelligence to McKinsey & Company, a global management consulting firm. Due in part due to his work on AI, in 2017 The Globe and Mail, one of Canada's national daily newspapers, listed Professor Agrawal as one of the 50 Most Powerful People in Canadian Business.

Professor Agrawal conducts research on the economics of artificial intelligence. He describes the Simple Economics of Machine Intelligence in the Harvard Business Review online, with coauthors Gans and Goldfarb. They also describe the implications for managers in What to Expect from Artificial Intelligence in the Sloan Management Review. In addition, they explain the timing of strategic commitments and the rising importance of judgment in the form of reward function engineering, in the Harvard Business Review online. Professor Agrawal's work has been cited by a variety of media such as Fortune, The Economist, The Globe and Mail, and The Wall Street Journal. He was co-organizer of the research session on the Economics of Artificial Intelligence at the American Economics Association annual conference in Chicago (2017).

Professor Agrawal is Founder of the Creative Destruction Lab at the University of Toronto. The Lab was founded in 2012 and launched their first cohort focused exclusively on machine intelligence-enabled companies in 2015. This program doubled in size to two cohorts (50 companies) in 2016 and then doubled again to four cohorts (100 companies) in 2017. To our knowledge, this represents the greatest concentration of AI-enabled companies in any program on Earth. Atomwise, Eigen Innovations, Deep Genomics, Thalmic Labs, Algocian, Blue J Legal, Nymi, Kyndi, Ada, Automat AI, and Fluent AI are graduates of the CDL. In 2017, The CDL launched the world’s first program focused on developing quantum machine learning companies. The program’s mission: By 2022 the QML Initiative will have produced more well-capitalized, revenue-generating quantum machine learning software ventures than the rest of the world combined. The majority of these will be based in Canada.

Professor Agrawal is Co-Founder of NextAI, a not-for-profit program launched in 2016 to inspire young entrepreneurs and technologists to explore new commercial opportunities that are a direct result of advances in AI.

Professor Agrawal is Co-Founder with Shivon Zilis of an annual conference on the business of artificial intelligence “Machine Learning and the Market for Intelligence.” He delivered opening presentations in 2015 and 2016.

Professor Agrawal is Co-Founder of Kindred. The company’s mission is to build machines with human-like intelligence. The MIT Technology Review listed Kindred as one of the 50 Smartest Companies of 2017, along with Tesla, Google, Amazon, Apple, Alibaba, and Baidu.
#ai  #academic  #expert  #UToronto  #AjayAgrawal 
9 hours ago
Building a Habit-Forming Product Starts With Your User Onboarding
Building a Habit-Forming Product Starts With Your User Onboarding
To make a product a recurring part of your customers’ lives you'll need to Hook them. In this blog post, we show you how to apply Nir Eyal's Hook Model to your user onboarding to keep your users coming back, again and again.


Nir Eyal's 2013 book Hooked completely changed the way people think about creating viral technology and products.

The apps that won, Eyal said, did so because they tapped into something deep in the brain. Facebook, Farmville, Angry Bird, Foursquare—like hit songs, these apps wormed their way into our heads. They made us come back again and again. These companies were all successful at one thing; creating a hook that formed strong user habits.

Eyal defines a hook as an experience that is designed to create a habit. The more often the user runs through this hook, the more likely they will form the habit.

The basic components of this hook are: Trigger, Action, Reward, and Investment, which together form Eyal’s Hook Model.
#ad  #targeting  #habit  #persuasion  #NirEyal 
10 hours ago
Ian Bogost (@ibogost) | Twitter
Ian BogostVerified account
@ibogost
Writer and game designer. @GeorgiaTech Professor, @TheAtlantic Contributing Editor, @objectsobjects co-editor. Read "Play Anything": ªªhttp://amzn.to/2ckRwyy ºº

Atlanta, GA
bogost.com
Joined June 2007
#GaTech  #professor  #games  #gamimfication  #academic  #persuasion 
11 hours ago
Persuasive Games - Atlanta - Co-founder Ian Bogost, Ga. Tech Prof.
Dr. Ian Bogost, a founding partner and the chief designer at Persuasive Games, is a world-renowned technology researcher and writer. He is Ivan Allen College Distinguished Chair in Media Studies and Professor of Interactive Computing at the Georgia Institute of Technology, where he also holds an appointment in the Scheller College of Business. Bogost is also a Contributing Editor at The Atlantic.

Among his many books is Persuasive Games: The Expressive Power of Videogames (MIT Press, 2007), a seminal work on the uses of games in politics, business, and learning. It forms the basis of our studio's design philosophy.

We call it procedural rhetoric: creating a simplified, simulated model of a thing in the world so that players can understand how it works (or how it's broken and needs fixing).
#games  #digital  #persuasion  #GaTech  #IanBogost 
11 hours ago
‘Artificial Intelligence’ Has Become Meaningless Ian Bogost 20170304
Artificial Intelligence’ Has Become Meaningless
It’s often just a fancy name for a computer program.

Reuters/China Stringer Network

IAN BOGOST MAR 4, 2017 TECHNOLOGY
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In science fiction, the promise or threat of artificial intelligence is tied to humans’ relationship to conscious machines. Whether it’s Terminators or Cylons or servants like the “Star Trek” computer or the Star Wars droids, machines warrant the name AI when they become sentient—or at least self-aware enough to act with expertise, not to mention volition and surprise.

What to make, then, of the explosion of supposed-AI in media, industry, and technology? In some cases, the AI designation might be warranted, even if with some aspiration. Autonomous vehicles, for example, don’t quite measure up to R2D2 (or Hal), but they do deploy a combination of sensors, data, and computation to perform the complex work of driving. But in most cases, the systems making claims to artificial intelligence aren’t sentient, self-aware, volitional, or even surprising. They’re just software.
#ai  #critique  #explainer  #2017  #GaTech  #IanBogost 
11 hours ago
+The Massive Hedge Fund Betting on AI Bloomberg 20170927
The Massive Hedge Fund Betting on AI
Initially wary of the technology, Man Group was soon persuaded by the returns from algorithm-centric funds.
By Adam Satariano and Nishant Kumar
September 27, 2017, 12:00 AM EDT
From
As chief executive officer of one of the world’s largest hedge funds, Luke Ellis prides himself on a healthy appetite for risk. “My job,” he says, “is to not blink.” About five years ago, he did, though—in a big way. What spooked him was an experiment at his firm, Man Group Plc. Engineers at the company’s technology-centric AHL unit had been dabbling with artificial intelligence—a buzzy, albeit not widely used, technology at the time. The system they built evolved autonomously, finding moneymaking strategies humans had missed. The results were startlingly good, and now Ellis and fellow executives needed to figure out their next move. 

Man Group, which has about $96 billion under management, typically takes its most promising ideas from testing to trading real money within weeks. In the fast-moving world of modern finance, an edge today can be gone tomorrow. The catch here was that, even as the new software produced encouraging returns in simulations, the engineers couldn’t explain why the AI was executing the trades it was making. The creation was such a black box that even its creators didn’t fully understand how it worked. That gave Ellis pause. He’s not an engineer and wasn’t intimately involved in the technology’s creation, but he instinctively knew that one explanation—“I can’t tell you why …”—would never fly with big clients looking for answers when Man inevitably lost some of their money. 
#ai  #applications  #interpretation  #finance  #impact  #skepticism  #2017 
11 hours ago
Twitter
"“Whiplash' was a great movie. But it’s a terrible organizing principle for our foreign or domestic policy”…
from twitter
12 hours ago
Virtual Nurses, Drug Discovery, & More: 101 Artificial Intelligence Startups In Healthcare CBInsights 20170905
Virtual Nurses, Drug Discovery, & More: 101 Artificial Intelligence Startups In Healthcare 20170905
September 5, 2017 Share Virtual Nurses, Drug Discovery, & More: 101 Artificial Intelligence Startups In Healthcare on Facebook Share Virtual Nurses, Drug Discovery, & More: 101 Artificial Intelligence Startups In Healthcare on Twitter Share Virtual Nurses, Drug Discovery, & More: 101 Artificial Intelligence Startups In Healthcare on LinkedIn Share Virtual Nurses, Drug Discovery, & More: 101 Artificial Intelligence Startups In Healthcare via Email
Artificial Intelligence Digital Health Expert Intelligence
Healthcare is the hottest sector for artificial intelligence, with startups applying AI to everything from genetic research to emergency room management to clinical trials.
Deals to healthcare-focused AI startups rocketed from fewer than 20 in 2012 to 88 deals in 2016, and at the current run rate, deals this year are on track to break the annual record yet again.

The number of startups entering the healthcare AI space has also increased in recent years, with 96 companies raising their first equity rounds after January 2015. Last year also saw two new unicorns emerge in the space: China-based iCarbonX and oncology-focused Flatiron Health.

Using CB Insights data, we identified 100 companies that are applying machine learning algorithms and predictive analytics to reduce drug discovery times, provide virtual assistance to patients, and diagnose ailments by processing medical images, among other healthcare applications.

Companies on the map below are VC- and corporation-backed and have raised at least one equity round since January 2015.
#AI  #healthcare  #2017  #CBInsights 
18 hours ago
Big Tech In AI: What Amazon, Apple, Google, GE, And Others Are Working On CBInsights 20171012
Big Tech In AI: What Amazon, Apple, Google, GE, And Others Are Working On
October 12, 2017 Share Big Tech In AI: What Amazon, Apple, Google, GE, And Others Are Working On on Facebook Share Big Tech In AI: What Amazon, Apple, Google, GE, And Others Are Working On on Twitter Share Big Tech In AI: What Amazon, Apple, Google, GE, And Others Are Working On on LinkedIn Share Big Tech In AI: What Amazon, Apple, Google, GE, And Others Are Working On via Email
Amazon Apple Artificial Intelligence Expert Intelligence Google Technology
Combined, the 10 largest tech companies have acquired 50 AI companies in the last 5 years, targeting facial recognition startups, chatbots, chip makers, and more.
Artificial intelligence is the future of big tech — and is already an integral part of the consumer and enterprise products at Facebook, Apple, Microsoft, and Google.

Now network connectivity providers like Cisco and Oracle are integrating advanced machine learning algorithms into their IT and cloud infrastructures, while GE has focused its efforts on AI for the industrial internet of things.

AI startups have played a huge role in advancing the internal R&D efforts at big tech companies:

Google was one of the earliest corporations to start acquiring private companies to advance its own AI research. It is now the most active acquirer in the space.
Amazon‘s 2013 acquisition of Evi Technologies played a huge role in the development of the now popular Amazon Alexa.
Apple, although secretive about its projects, has been ramping up its M&A activity in recent months.
Although the venture arms of Google and Intel have invested in a broad range of AI applications, their direct investments and acquisitions have been more strategically focused. (For instance, Google’s move into the Chinese market with a $60M round to Mobvoi, and Intel’s acquisition of AI hardware startups Movidius and Nervana Systems).

We used CB Insights data to analyze the AI efforts of the top 10 tech companies in the US by market cap (as of 8/15/2017) and their corporate venture arms. Combined, these companies have invested in 80 artificial intelligence startups, and acquired 50 companies in the last 5 years.

The companies on our list include the corporates below. Note that telecommunications companies such as AT&T or Comcast are not included, and we only include first exits of acquired companies.

The companies we looked at are:

Amazon
Apple
Cisco
Facebook
GE
Google
IBM
Intel
Microsoft
Oracle
#ai  #M&A  #GAFA  #tech  #companies  #startups  #2017  #CBInsights 
19 hours ago
The State of Artificial Intelligence CBInsights 2017
The State of Artificial Intelligence 2017
DOWNLOAD NOW
REPORT HIGHLIGHTS:

AI PATENTS OF MICROSOFT, GOOGLE, AMAZON, FB, APPLE

MEDIA TRENDS: AI VS BIG DATA



ANNUAL FUNDING HISTORY



Deals to AI startups increased 4.6x in the last 5 years, from 150 in 2012 to 698 in 2016.

The top rounds in 2016 went to auto tech company Zoox ($200M Series A) and cybersecurity startup StackPath ($180M private equity).
#AI  #startups  #report  #CBInsights  #2017 
19 hours ago
How AI Is Already Changing Business Erik Brynjolfsson 20170720
Erik Brynjolfsson teaches at MIT Sloan School and runs the MIT Initiative on the Digital Economy. And he’s the co-author with Andrew McAfee of the new HBR article, “The Business of Artificial Intelligence.”

Erik, thanks for talking with the HBR IdeaCast.

ERIK BRYNJOLFSSON: It’s a pleasure.

SARAH GREEN CARMICHAEL: Why are you cautiously optimistic about the future of AI?

ERIK BRYNJOLFSON: Well actually that story you told about the robot that had trouble was a great lead in because in many ways it epitomizes some of the strengths and weaknesses of robots today. Machines are quite powerful and in many ways, they’re superhuman you know just as a calculator can do arithmetic a lot better than me, we’re having artificial intelligence that’s able to do all sorts of functions in terms of recognizing different kinds of cancer images, or now getting superhuman even in speech recognition in some applications but they’re also quite narrow. They don’t have general intelligence the way people do. And that’s why partnerships of humans and machines are often going to be the most successful in business.
#ai  #applications  #status  #usecases  #2017  #HBR  #ErikBrynjolfsson 
21 hours ago
How Companies Are Already Using AI HBR 20170414
How Companies Are Already Using AI
April 14, 2017
apr17-14-133592919
Every few months it seems another study warns that a big slice of the workforce is about to lose their jobs because of artificial intelligence. Four years ago, an Oxford University study predicted 47% of jobs could be automated by 2033. Even the near-term outlook has been quite negative: A 2016 report by the Organization for Economic Cooperation and Development (OECD) said 9% of jobs in the 21 countries that make up its membership could be automated. And in January 2017, McKinsey’s research arm estimated AI-driven job losses at 5%. My own firm released a survey recently of 835 large companies (with an average revenue of $20 billion) that predicts a net job loss of between 4% and 7% in key business functions by the year 2020 due to AI.

Yet our research also found that, in the shorter term, these fears may be overblown. The companies we surveyed – in 13 manufacturing and service industries in North America, Europe, Asia-Pacific, and Latin America – are using AI much more frequently in computer-to-computer activities and much less often to automate human activities. “Machine-to-machine” transactions are the low-hanging fruit of AI, not people-displacement.

For example, our survey, which asked managers of 13 functions, from sales and marketing to procurement and finance, to indicate whether their departments were using AI in 63 core areas, found AI was used most frequently in detecting and fending off computer security intrusions in the IT department. This task was mentioned by 44% of our respondents. Yet even in this case, we doubt AI is automating the jobs of IT security people out of existence. In fact, we find it’s helping such often severely overloaded IT professionals deal with geometrically increasing hacking attempts. AI is making IT security professionals more valuable to their employers, not less
#AI  #applications  #2017  #Tata 
21 hours ago
Driving Clinical and Operational Performance Through Analytics IIA 20170802
DRIVING CLINICAL AND OPERATIONAL PERFORMANCE THROUGH ANALYTICS
BY JACK PHILLIPS, DAVID ALLES, AUG 02, 2017

Download the PDF
New research shows that investment in data and analytics technologies is separating winners from losers among healthcare providers

THE BIG IDEAS
Healthcare lags behind just about every other industry when it comes to data and analytics capabilities, and a culture of using data to make better decisions. With these findings, there is a massive opportunity for healthcare organizations to make analytics a strategic priority sooner rather than later; providers who aspire to “compete on analytics” can learn from the high performers by emulating their techniques and practices, even if they lack the same technology budgets.

The highest performers invest 3-4 times that of the lowest performers in technology/tools and talent to generate insights from data that lead to superior outcomes. This investment generates measureable improvements in quality of care, patient engagement, population health outcomes, and business operations.

Within healthcare, providers score particularly low in the areas of data quality and accessibility, analytical culture, executive advocacy, and application/target selection signaling that there is a strong need for senior leadership to support analytics efforts on a strategic level and for the good of the organization.

Strategic analytic leadership matters. Providers with a Chief Medical Information Officer (CMIO) or equivalent analytics leader on the executive team show higher levels of maturity than organizations where these roles are not present.
#analytics  #maturity  #healthcare  #operations  #clinical  #IIA  #2017  #filed 
23 hours ago
Disintegrating Castles & Category Kings Geoffrey Moore 20171003
Disintegrating Castles & Category Kings
Disintegrating Castles & Category Kings

By Geoffrey Moore, Oct 03, 2017


The time has come, the Walrus said,

To talk of many things:

Of disintegrating castles

And category kings!

Lewis Carroll never made it to the Age of Everything Digital, but if he had, he might have revised his famous lines in the manner noted above. Here’s why.

The most prevalent impact of digitalization on the structure of markets has been to reduce the barriers to entry for a whole raft of established categories—as it has, for example in media, retail, consumer packaged goods, fast food, and transportation. A flood of small but numerous new entrants, individually nothing more than minor nuisances, become collectively a real presence. This shows up in market-share pie charts where the catch-all category Other is growing faster than the market as a whole. The result in each case is category fragmentation, and the big loser in each case is the currently reigning category king.

Category kings like McDonalds or Burger King, Coke or Pepsi, The New York Times or The Wall Street Journal, Walmart or Target, Hertz or Avis, are used to launching major campaigns to fight big opponents. They are not used to waging the kind of day-in, day-out guerilla warfare needed to cope with a plague of ankle-biting insects. Nor are their systems tuned to detect the slow but frustratingly persistent brand erosion and customer defection that is an inevitable consequence of category fragmentation. Sadly, like well-funded colonial armies faced with a ragtag assembly of local insurgents, they are fighting and losing a war of attrition. Instead of addressing this issue directly, they engage in yet another round of market share wars against the other large players in the pie chart. This is like addressing a cholesterol problem with heart surgery. It is, to use the technical jargon of strategy consultants, a mistake.
#innovation  #disruption  #competition  #digital  #ai  #applications  #incumbents  #threats  #GeoffreyMoore 
23 hours ago
Hiring Your First Chief AI Officer Andrew Ng 20161111
Hiring Your First Chief AI Officer
nov16-11-145072058
A hundred years ago electricity transformed countless industries; 20 years ago the internet did, too. Artificial intelligence is about to do the same. To take advantage, companies need to understand what AI can do and how it relates to their strategies. But how should you organize your leadership team to best prepare for this coming disruption? Follow history.

A hundred years ago, electricity was really complicated. You had to choose between AC and DC power, different voltages, different levels of reliability, pricing, and so on. And it was hard to figure out how to use electricity: Should you focus on building electric lights? Or replace your gas turbine with an electric motor? Thus many companies hired a VP of Electricity to help them organize their efforts and make sure each function within the company was considering electricity for its own purposes or its products. As electricity matured, the role went away.

Recently, with the evolution of IT and the internet, we saw the rise of CIOs to help companies organize their information. As IT matures, it is increasingly becoming the CEO’s role to develop their companies’ internet strategy. Indeed, many S&P 500 companies wish they had developed their internet strategy earlier. Those that did now have an advantage. Five years from now, we will be saying the same about AI strategy.
#ai  #leadership  #organization  #maturity  #AndrewNg 
yesterday
A.I., Language, and Trust: Key Themes in Gartner’s Data & Analytics Predictions 20171017
A.I., Language, and Trust: Key Themes in Gartner’s Data & Analytics Predictions



Recently, Gartner compiled its 100 Data and Analytics Predictions through 2021, It’s no surprise that artificial intelligence is at the forefront, with a highlight on practical applications of A.I. such as natural language generation (NLG). From the ability to power new revenue streams and the promise of time-savings, to the perils of black-box applications, enterprises are taking note of A.I.’s benefits and cautions.

Here’s our take on a few of the research firm’s key strategic predictions: 

A.I. disruption has arrived. But what about it’s value?
#ai  #maturity  #challenges  #NLG 
yesterday
How Digital Technology Supercharges Zero-Based Redesign Bain 20170705
Prasad Narasimhan: How Digital Technology Supercharges Zero-Based Redesign
July 05, 2017 Bain video By Prasad Narasimhan






Play Video
Digital technologies and automation can help reduce costs for companies that undertake a zero-based redesign. But although these tools are more available and affordable than ever, few companies are taking full advantage of their capabilities. Prasad Narasimhan, a partner with Bain's Information Technology practice, details promising technologies with high potential to improve results.
#rpa  #intelligentautomation  #operations  #process  #CX  #efficiencies  #Bain 
yesterday
Introducing the Bain Micro-battles System 20150506
Introducing the Bain Micro-battles System℠

We’ve been doing less blogging lately because this Founder’s Mentality® topic has become quite hot, and we’re working with a lot of business leaders on how to become scale insurgents. The biggest new developments involve micro-battles, and the purpose of this blog is to get you up to date. We’re also going to step back to provide context and lots of links to previous blogs if you’d like to explore further.

Context: The six building blocks on the journey to “scale insurgent”

Context matters. What matters most is the growth paradox: Growth creates complexity, and complexity kills growth. Understanding how companies respond to this core problem has led us to look at companies on two dimensions:

How well do they maintain their Founder’s Mentality as they grow?
How effectively are they capturing the benefits of their increasing size?
All great companies start as insurgents, at war against their industries on behalf of underserved customers. This creates a tremendous sense of mission, clarity and focus. Because everyone in the company makes or sells the product in the beginning, these insurgent companies are incredibly customer and frontline focused. Everyone acts like an owner of the business because most are. Speed is a weapon. And what insurgents lack in size, they make up for with the missionary spirit of a scrappy, fast-moving challenger (see Figure 1).
#innovation  #founders  #bestpractices  #strategy  #enterprises  #startups  #Bain  #A+ 
yesterday
Learn the Essential Practices of Highly Effective Analytics Teams Bain 20161117
Learn the Essential Practices of Highly Effective Analytics Teams
November 17, 2016 Expert Commentary By Aarti Gupta and Paul Markowitz





Analytics teams can help promote growth for any organization, by putting customer and operational data to fruitful use. To be truly effective, however, these teams need to adopt best practices at every level, from their approach to basic data hygiene to strategic issues such as team structure and model governance. Otherwise, the analytics team risks having poor relationships with the company’s senior leaders; the two groups will talk past each other and fail to work together toward a common goal.

It’s useful to group best practices in three areas: Analytics teams need to have the right data, the right methodology and the right team collaboration model. Each area is essential to success, and while we have seen many of our clients get the first two areas right, they often fall short on the third, leading to suboptimal results. Let’s review each of these three areas.
#analytics  #maturity  #organization  #bestpractices  #Bain 
yesterday
Choose Your Weapon: Prediction or Prescription Bain 20170816
Choose Your Weapon: Prediction or Prescription
August 16, 2017 Expert Commentary By Paul Markowitz





Business people who deploy advanced analytics typically face a fundamental trade-off: They must decide whether they want to use a model that predicts well or one that can be easily explained and understood. The set of tools and methods available hinges on this decision. Make the wrong choice, and they will fail in their mission.

If the goal is a model that predicts well, there are many machine learning methods to explore. These include support vector machines, neural networks, deep learning neural networks, random forests and gradient-boosted random forests. Most of these methods resemble a black box. Data goes in, and a prediction comes out. Exactly how the machine makes its prediction, however, remains a bit of a mystery. It’s difficult to observe the assumptions programmed into the machine, which variables influence the outcomes and how the variables interact.
#analytics  #methods  #models  #predictive  #prescription  #explainable  #Bain 
yesterday
Understanding Sample Sizes for Multivariate In-Market Tests Bain 20160715
Understanding Sample Sizes for Multivariate In-Market Tests
July 15, 2016 Expert Commentary By Paul Markowitz





In an earlier post, we talked about the difference between A/B tests and multivariate tests. Let’s look in more detail at a basic testing issue, sample size.

We have a simple power-analysis spreadsheet that calculates the sample size needed for in-market tests. The spreadsheet takes four inputs:

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The expected response rate. This is what portion of those that receive treatment will respond to the test, usually for the baseline or control cell.
The lift we want to measure—how much higher (say, a 25% higher response rate) a successful test cell or offer or attribute level will be than the baseline or control.
Two measures, alpha and beta, relate to the precision and recall of the test. It’s usually 5% for alpha (corresponding to 95% confidence that an observed positive result is not due to chance) and 80% for beta (corresponding to an 80% chance of finding an effect if there really is one, or a 20% chance of a false negative).
#research  #conjoint  #in-market-tests  #sample  #Bain 
yesterday
Choosing Between Primary Research and In-Market Tests Bain 20171005
Choosing Between Primary Research and In-Market Tests
October 05, 2017 Expert Commentary By June Wu and Paul Markowitz





Marketers often face the dilemma of whether to use conjoint tests, which are primary research experiments, or real in-market testing. This choice arises when introducing new products to the market, testing different pricing structures or running various promotions. To undertake these activities as efficiently as possible, how should marketers choose their advanced analytics tools?

Traditionally, the tool selected depends on the role of the person charged with doing the analysis. Because market researchers tend to work with traditional primary research survey tools, they usually select conjoint analysis as their main approach. Business intelligence analysts, by contrast, work mainly with operational analytics, so they typically choose an in-market test. Each group might not know of the o
#analytics  #conjoint  #choice  #in-market-tests  #Bain  #2017 
yesterday
Three Promises and Perils of Big Data 20160624
Three Promises and Perils of Big Data
June 24, 2016 Bain video By Tom Springer






Play Video

While the application of Big Data offers huge opportunity, solution providers may be making big promises that reach beyond your company's needs and capabilities. Tom Springer, a partner in Bain's Advanced Anal
#analytics  #maturity  #Bain 
yesterday
Building Analytics Capabilities Bain 20160705
Building Analytics Capabilities
July 05, 2016 Bain video By Rasmus Wegener

Companies often view data analytics as a business challenge, not a technology issue. Yet they can't reap the benefits of analytics efforts unless their IT is up to the task of managing the sheer volume of data. Rasmus Wegener, a partner in Bain's Advanced Analytics practice, discusses how leaders can turn their data into a platform for growth.
#analytics  #maturity  #capability  #strategy  #execution  #Bain 
yesterday
Bain & Company Advance Analytics Expert Commentary 2017
Advanced-Analytics-Expert-Commentary-banner
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EXPERT COMMENTARY October 05, 2017
Choosing Between Primary Research and In-Market Tests
By June Wu and Paul Markowitz
Marketers have a variety of advanced analytics tools available for understanding customer preferences.

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EXPERT COMMENTARY August 16, 2017
Choose Your Weapon: Prediction or Prescription
By Paul Markowitz
When selecting a model for advanced analytics, the right choice comes down to understanding the challenge at hand.

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EXPERT COMMENTARY May 26, 2017
What to Look For In a Text Analytics Platform
By Harika Guddanti
Executives should keep five key criteria in mind when evaluating text analytics platforms.

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EXPERT COMMENTARY November 17, 2016
Learn the Essential Practices of Highly Effective Analytics Teams
By Aarti Gupta and Paul Markowitz
To be truly effective, analytics teams must adopt best practices at every level.

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EXPERT COMMENTARY July 15, 2016
Understanding Sample Sizes for Multivariate In-Market Tests
By Paul Markowitz
Both A/B and multivariate in-market tests can provide remarkable insights on effective marketing strategy.

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EXPERT COMMENTARY July 14, 2016
A/B and Multivariate In-Market Testing
By Paul Markowitz
Marketers can learn a great deal about which messages, promotions or ads are effective through in-market testing.

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EXPERT COMMENTARY July 13, 2016
The Psychometrics of Customer Feedback
By Jason Lee
Survey structure can trigger undesirable psychological phenomena, but asking the right questions first can limit these risks.

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EXPERT COMMENTARY July 12, 2016
How Big Data Analytics Is Breaking through Organizational Walls
By Jason Lee
With more data than ever before, companies need to think about where and how big data can directly serve the business.
#analytics  #perspectives  #bigdata  #Bain 
yesterday
Google’s Search for the Sweet Spot Ben Thompson 20171005
GOOGLE’S SEARCH FOR THE SWEET SPOT
Posted onThursday, October 5, 2017
This was my favorite slide from yesterday’s Google hardware event:



Oh, sorry, wrong picture. Here you go:



For Google, a cloud on the slide is not necessary: it is the very essence of the company. Hardware, well, perhaps a little over-compensation is in order.

APPLE’S SWEET SPOT
Steve Jobs’, in his last keynote, framed that slide as a new direction for Apple after the company’s brilliant digital hub strategy, introduced ten years prior:
#ai  #Google  #strategy  #innovation  #hardware  #integration  #BenThompson 
yesterday
Stratechery by Ben Thompson – On the business, strategy, and impact of technology.
“We’re excited by the shift from a mobile-first to an AI-first world” Google CEO
AI  from twitter
yesterday
FCC Privacy Rules Overturned, Winners and Losers Ben Thompson 20170330
FCC PRIVACY RULES OVERTURNED
From the Wall Street Journal:

House lawmakers on Tuesday voted to overturn an Obama-era privacy rule for broadband providers, buoying telecommunications firms but potentially muddying consumer-protection standards. The vote, largely along party lines, was 215 to 205.

The rule, adopted by the Federal Communications Commission in the waning months of the Obama administration, required telecommunications firms such as Comcast Corp. and Verizon Communications Inc. to get customers’ permission to market their app and web-browsing history to third parties. It was opposed by broadband providers, who said it could unfairly tilt the playing field in favor of internet rivals, such as Alphabet Inc.’s Google unit and Facebook Inc., which generally are regulated by another agency, the Federal Trade Commission, and face less stringent standards when it comes to consumers’ data.

Congressional Democrats as well as consumer advocates complained on Tuesday that the rollback removes important legal protections for broadband-access customers. The bill “totally wipes out consumer protections” on the internet, said Rep. Anna Eshoo (D., Calif.).
There is actually quite a bit to unpack here, so I’m going to start at the beginning. Bear with me (especially you international readers!):
#privacy  #mobile  #broadband  #providers  #ISPs  #operators  #Verizon 
yesterday
The Arrival of Artificial Intelligence Ben Thompson 20170329
THE ARRIVAL OF ARTIFICIAL INTELLIGENCE
Posted onWednesday, March 29, 2017
Chris Dixon opened a truly wonderful piece in the Atlantic entitled How Aristotle Created the Computer like this:

The history of computers is often told as a history of objects, from the abacus to the Babbage engine up through the code-breaking machines of World War II. In fact, it is better understood as a history of ideas, mainly ideas that emerged from mathematical logic, an obscure and cult-like discipline that first developed in the 19th century. Mathematical logic was pioneered by philosopher-mathematicians, most notably George Boole and Gottlob Frege, who were themselves inspired by Leibniz’s dream of a universal “concept language,” and the ancient logical system of Aristotle.
Dixon goes on to describe the creation of Boolean logic (which has only two values: TRUE and FALSE, represented as 1 and 0 respectively), and the insight by Claude E. Shannon that those two variables could be represented by a circuit, which itself has only two states: open and closed.Dixon writes:

Another way to characterize Shannon’s achievement is that he was first to distinguish between the logical and the physical layer of computers. (This distinction has become so fundamental to computer science that it might seem surprising to modern readers how insightful it was at the time—a reminder of the adage that “the philosophy of one century is the common sense of the next.”)
Dixon is being modest: the distinction may be obvious to computer scientists, but it is precisely the clear articulation of said distinction that undergirds Dixon’s remarkable essay; obviously “computers” as popularly conceptualized were not invented by Aristotle, but he created the means by which they would work (or, more accurately, set humanity down that path).

Moreover, you could characterize Shannon’s insight in the opposite direction: distinguishing the logical and the physical layers depends on the realization that they can be two pieces of a whole. That is, Shannon identified how the logical and the physical could be fused into what we now know as a computer.
#ai  #history  #impact  #perspectives  #BenThompson 
yesterday
The scale of tech winners 20171012
We all know, I think, that there are now far more smartphones than PCs, and we all know that there are far more people online now than there used to be, and we also, I think, mostly know that big tech companies today are much bigger than the big tech companies of the past. It’s useful, though, to put some real numbers on that, and to get a sense of use how much the scale has changed, and what that means.
So, the four leading tech companies of the current cycle (outside China), Google, Apple, Facebook and Amazon, or ‘GAFA’, have together over three times the revenue of Microsoft and Intel combined (‘Wintel’, the dominant partnership of the previous cycle), and close to six times that of IBM. They have far more employees, and they invest far more. (Once can of course quibble with the detail of this - the business models are different and the global scale is different. But scale is scale.)

This change is even more striking if you shift the timeline. If you compare GAFA in their current dominance with Wintel in their period of dominance, you see not a 3x difference in scale but a 10x difference. Being a big tech company means something different now to in the past.
#tech  #leaders  #analytics  #strategy  #competitiveness  #innovation  #GAFA  #BenedictEvans 
yesterday
Twitter
“The scale of tech winners (esp. GAFA)”
from twitter
yesterday
Executive summary - GOV.UK
“Growing the artificial intelligence industry in the UK (report)”
AI  report  from twitter
yesterday
Growing the artificial intelligence industry in the UK 201710
Growing the artificial intelligence industry in the UK
Department for
Business, Energy
& Industrial Strategy
Department for
Digital, Culture
Media & Sport
Independent report
Executive summary
Published 15 October 2017
Increased use of Artificial Intelligence (AI) can bring major social and economic benefits to the UK. With AI, computers can analyse and learn from information at higher accuracy and speed than humans can. AI offers massive gains in efficiency and performance to most or all industry sectors, from drug discovery to logistics. AI is software that can be integrated into existing processes, improving them, scaling them, and reducing their costs, by making or suggesting more accurate decisions through better use of information.

It has been estimated that AI could add an additional USD $814 billion (£630bn) to the UK economy by 2035, increasing the annual growth rate of GVA from 2.5 to 3.9%.

Our vision is for the UK to become the best place in the world for businesses developing and deploying AI to start, grow and thrive, to realise all the benefits the technology offers.

The pioneering British computer scientist Alan Turing is widely regarded as launching and inspiring much of the development of AI. While other countries and international companies are investing heavily in AI development, the UK is still regarded as a centre of expertise, for the present at least. This report recommends that more is done to build on Turing’s legacy to ensure the UK remains among the leaders in AI.

Key factors have combined to increase the capability of AI in recent years, in particular:

New and larger volumes of data
Supply of experts with the specific high level skills
Availability of increasingly powerful computing capacity. The barriers to achieving performance have fallen significantly, and continue to fall.
To continue developing and applying AI, the UK will need to increase ease of access to data in a wider range of sectors. This Review recommends:

Development of data trusts, to improve trust and ease around sharing data
Making more research data machine readable
Supporting text and data mining as a standard and essential tool for research.
Skilled experts are needed to develop AI, and they are in short supply. To develop more AI, the UK will need a larger workforce with deep AI expertise, and more development of lower level skills to work with AI. This Review recommends:

An industry-funded Masters programme in AI
Market research to develop conversion courses in AI that meet employers’ needs
200 more PhD places in AI at leading UK universities, attracting candidates from diverse backgrounds and from around the world.
Credit-bearing AI online courses and continuing professional development leading to MScs
Greater diversity in the AI workforce
An international AI Fellowship Programme for the UK.
The UK has an exceptional record in key AI research. Growing the UK’s AI capability into the future will involve building on this with more research on AI in different application areas, and coordinating research capabilities.

This Review recommends:

The Alan Turing Institute should become the national institute for artificial intelligence and data science
Universities should promote standardisation in transfer of IP
Computing capacity for AI research should be coordinated and negotiated.
Increasing uptake of AI means increasing demand as well as supply through a better understanding of what AI can do and where it could be applied. This review recommends:

An AI Council to promote growth and coordination in the sector
Guidance on how to explain decisions and processes enabled by AI
Support for export and inward investment
Guidance on successfully applying AI to drive improvements in industry
A programme to support public sector use of AI
Funded challenges around data held by public organisations.
Our work has indicated that action in these areas could deliver a step-change improvement in growth of UK AI. This report makes the 18 recommendations listed in full below, which describe how Government, industry and academia should work together to keep the UK among the world leaders in AI.
#ai  #impact  #importance  #economy  #competitiveness  #government  #UK  #2017 
yesterday
iSee AI
iSee is determined to build the missing piece of the self-driving car puzzle —the next generation AI driven by a common sense engine. To begin such a monumental task, the team is developing a fundamentally different approach to achieve a fully autonomous driving system. By building and applying a groundbreaking common sense engine to this space, iSee is able to effectively model a variety of behavior of different occurrences on the road.
Founders Debbie Yu, Yibiao Zhao, and Chris Baker are looking forward to establishing iSee as a leader in the artificial intelligence space. Yibiao and Chris have years of experience working on cognitive robots collaborating with humans and Debbie has a long history of backing and working on a series of frontier tech startups.
“Artificial intelligence has beaten the best human player at Go, and also achieved superhuman performance at many video games. However, current AI systems still can not reliably navigate a car in the real world.” Yibiao says. “Unlike a game’s limited domain with finite rules, the real world requires a flexible commonsense understanding of physics and other people’s actions.”
iSee is made up of true hackers. The founders saw the possibility and retrofitted Debbie’s hybrid SUV to let their AI system control it in two weeks. Currently the team is working on a full-stack solution for a vehicle to drive in a complex environment. In order to be safely in motion, a vehicle needs to predict the future extensively, even in unfamiliar situations, in order to avoid risk and harm. iSee has enabled the new AI thanks to deep learning, but it goes beyond this. In early demonstrations, iSee has proven their technology and methodology to be superior to a classically trained machine learning system in its ability to operate a vehicle with thousands of miles of safely test driving.
Because iSee is working on a fundamentally different software approach in artificial intelligence, their technology will have an impact far beyond autonomous vehicles. iSee’s development is paving the way for truly predictive artificial intelligence.
#ai  #startup  #predictiveAI  #autonomous  #vehicles  #MIT  #2017 
yesterday
Finally, a Driverless Car with Some Common Sense
Finally, a Driverless Car with Some Common Sense

A startup called iSee thinks a new approach to AI will make self-driving cars better at dealing with unexpected situations.

by Will Knight September 20, 2017
7
Boston’s notoriously unfriendly drivers and chaotic roads may be the perfect testing ground for a fundamentally different kind of self-driving car.

An MIT spin-off called iSee is developing and testing the autonomous driving system using a novel approach to artificial intelligence. Instead of relying on simple rules or machine-learning algorithms to train cars to drive, the startup is taking inspiration from cognitive science to give machines a kind of common sense and the ability to quickly deal with new situations. It is developing algorithms that try to match the way humans understand and learn about the physical world, including interacting with other people. The approach could lead to self-driving vehicles that are much better equipped to deal with unfamiliar scenes and complex interactions on the road.

“The human mind is super-sensitive to physics and social cues,” says Yibiao Zhao, cofounder of iSee. “Current AI is relatively limited in those domains, and we think that is actually the missing piece in driving.”

Zhao’s company doesn’t look like a world beater just yet. A small team of engineers works out of a modest lab space at the Engine, a new investment company created by MIT to fund innovative local tech companies. Located just a short walk from the MIT campus, the Engine overlooks a street on which drivers jostle for parking spots and edge aggressively into traffic.
#ai  #advances  #autonomous  #vehicles  #MIT  #startup  #2017 
yesterday
Artificial intelligence - wonderful and terrifying - will change life as we know it (51 min. Video)
Artificial intelligence - wonderful and terrifying - will change life as we know it
Sunday Edition

June 2, 2017 Season 2017, Episode 300292904 51:51
Now that "deep learning" allows computers to think in very human ways, everything is up for grabs. Ira Basen's special hour-long documentary is called, "Into the Deep: The Promise and Perils of Artificial Intelligence."
#ai  #challenges  #impact  #video  #2017 
yesterday
Artificial intelligence - hype, hope and fear 20171016
Artificial intelligence - hype, hope and fear
Rory Cellan-Jones
Technology correspondent
7 hours ago
From the section Technology Share this with Facebook Share this with Twitter Share this with Messenger Share this with Email Share
Image copyrightGETTY IMAGES
Image caption
A UK-commissioned report suggests AI could add £630bn to the economy within two decades
If my email inbox is anything to go by, a technology revolution is under way that is going to transform all of our lives very soon and it is called artificial intelligence.
A Welsh company is using AI to detect North Korean bio-weapons.
I could pop over to California to hear about "AI wearable solutions for aging population".
And Lloyd's of London has unveiled its first artificial intelligence deal. It promises that "in a decade a significant part of the insurance industry will be powered by AI."
These represent just three of the innumerable AI press releases aimed at me and other technology journalists over recent days.
Last week also saw the London premiere of AlphaGo, an excellent and surprisingly touching documentary about one of the great recent triumphs of artificial intelligence, Google DeepMind's victory over the champion Go player Lee Sedol.
#ai  #outlook  #impact  #significance  #competition  #UK  #report  #2017  AI 
yesterday
What AI leaders are focusing on right now Accenture
What AI leaders are focusing on right now

Your next step in AI: AI experts advise what to do in the next 12 months.

DOWNLOAD THE TRANSCRIPT [PDF]
#AI  #strategy  #implementation  #Accenture 
yesterday
Is AI Riding a One-Trick Pony? 20170929
Is AI Riding a One-Trick Pony?

Just about every AI advance you’ve heard of depends on a breakthrough that’s three decades old. Keeping up the pace of progress will require confronting AI’s serious limitations.

by James Somers September 29, 2017
This publication from the mid-1980s showed how to train a neural network with many layers. It set the stage for this decade’s progress in AI.
51
I’m standing in what is soon to be the center of the world, or is perhaps just a very large room on the seventh floor of a gleaming tower in downtown Toronto. Showing me around is Jordan Jacobs, who cofounded this place: the nascent Vector Institute, which opens its doors this fall and which is aiming to become the global epicenter of artificial intelligence.

We’re in Toronto because Geoffrey Hinton is in Toronto, and Geoffrey Hinton is the father of “deep learning,” the technique behind the current excitement about AI. “In 30 years we’re going to look back and say Geoff is Einstein—of AI, deep learning, the thing that we’re calling AI,” Jacobs says. Of the researchers at the top of the field of deep learning, Hinton has more citations than the next three combined. His students and postdocs have gone on to run the AI labs at Apple, Facebook, and OpenAI; Hinton himself is a lead scientist on the Google Brain AI team. In fact, nearly every achievement in the last decade of AI—in translation, speech recognition, image recognition, and game playing—traces in some way back to Hinton’s work.

The Vector Institute, this monument to the ascent of ­Hinton’s ideas, is a research center where companies from around the U.S. and Canada—like Google, and Uber, and Nvidia—will sponsor efforts to commercialize AI technologies. Money has poured in faster than Jacobs could ask for it; two of his cofounders surveyed companies in the Toronto area, and the demand for AI experts ended up being 10 times what Canada produces every year. Vector is in a sense ground zero for the now-worldwide attempt to mobilize around deep learning: to cash in on the technique, to teach it, to refine and apply it. Data centers are being built, towers are being filled with startups, a whole generation of students is going into the field.

The impression you get standing on the Vector floor, bare and echoey and about to be filled, is that you’re at the beginning of something. But the peculiar thing about deep learning is just how old its key ideas are. Hinton’s breakthrough paper, with colleagues David Rumelhart and Ronald Williams, was published in 1986. The paper elaborated on a technique called backpropagation, or backprop for short. Backprop, in the words of Jon Cohen, a computational psychologist at Princeton, is “what all of deep learning is based on—literally everything.”

When you boil it down, AI today is deep learning, and deep learning is backprop—which is amazing, considering that backprop is more than 30 years old. It’s worth understanding how that happened—how a technique could lie in wait for so long and then cause such an explosion—because once you understand the story of backprop, you’ll start to understand the current moment in AI, and in particular the fact that maybe we’re not actually at the beginning of a revolution. Maybe we’re at the end of one.
#ai  #deeplearning  #challenges  #critique  #MIT 
yesterday
UserZoom | User Experience Testing and Research Platform
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#UX  #usability  #research  #vendor  #solution  #platform  #UK  #UserZoom 
2 days ago
Setili & Associates, LLC
Setili Strategic Consulting

We help world-class organizations to achieve lasting performance improvement.

We can help you

Identify emerging business opportunities, and move quickly to capture them.
Anticipate and respond to competitor moves, changes in the market, and new technologies.
Execute top priorities in a more focused way, and accelerate the impact of strategic initiatives.
Learn five reasons to choose Setili. To find out more contact Amanda, or call (404) 378-0400
#strategy  #innovation  #consulting  #firm  #ATL  #HBS  #McKinsey  #AmandaSetili 
2 days ago
WhatUsersDo (@whatusersdo) | Twitter
WhatUsersDo
@whatusersdo
International #UX Testing platform that reveals the WHY of user behaviour. Understand your audience to increase customer satisfaction, sales & engagement. #CRO

Europe
whatusersdo.com
Joined December 200
#UX  #usability  #testing  #platform  #tool  #solution  #UK 
2 days ago
Dave Black (@davidhblack) | Twitter
Dave Black
@davidhblack
Ex-Apple, Founder of startups, Cannonball NY-LA Record Holder 28:50.

Atlanta & San Francisco
dblack.me
Joined April 2008
#startup  #entrepreneur  #ATDC  #ATL  #MedicarePathfinder 
3 days ago
Michael Zeto (@mzeto) | Twitter
mzeto
@mzeto Follows you
General Manager & Executive Director, AT&T Smart Cities, IOTS

Atlanta, GA-US
linkedin.com/in/mzeto
Joined November 2008
#people  #mobile  #IOT  #expert  #Atlanta  #ATT  #executive 
3 days ago
Richard Thaler wins the Nobel prize for economic sciences 20171014
Richard Thaler wins the Nobel prize for economic sciences

An economist who recognises that human behaviour is not always strictly rational


Print edition | Finance and economics
Oct 14th 2017
THE credit-card bill arrives. You have enough money in a savings account to pay it off—the sensible thing to do, arithmetically speaking, since the interest rate on the credit-card balance far exceeds that earned on the savings. Yet you leave the savings untouched, and pay only as much of the bill as your current-account balance allows. What looks a daft choice to most economists makes perfect sense to Richard Thaler, who on October 9th was awarded the Nobel prize for economics for his work in behavioural economics. Mr Thaler helped demonstrate how human reasoning diverges from that of the perfectly rational homo economicus used in most economic modelling. The world, and the field of economics, is better for his contributions.
#behavioraleconomics  #RichardThaler  #Nobel  #2017 
4 days ago
Twitter
What an honor last night thank you much!
from twitter_favs
4 days ago
What's wrong with the ICO's draft guidance on controller-processor contracts?
What's wrong with the ICO's draft guidance on controller-processor contracts?
schedule Oct 10, 2017 queue Save This
print
W. Kuan Hon
Those struggling with controller-processor contracts in the run up to May 25, 2018, will be familiar with Articles 28 and 82 of the EU General Protection Regulation — what some might call another kind of PETs, the "palindromic evil twins" of GDPR.

The GDPR fundamentally changes the balance of obligations and liabilities between controllers and processors. As data protection practitioners know, Article 28 sets out mandatory minimum terms that must be included in contracts between controllers and their processors, and requirements regarding processors' use of subprocessors (termed "another processor"). Article 82 entitles "any person" to compensation from the controller or processor for damage suffered by the person as a result of a GDPR infringement, with exculpatory provisions on, effectively, proving non-responsibility. And of course, for the first time, processors will have direct statutory obligations for certain data protection matters.

All this means that contracts are of huge practical importance, particularly as the GDPR won't "grandfather in" pre-existing contracts: Strictly, all controller-processor contracts, even pre-existing ones, must be brought into compliance by May 25, 2018. Yet, inexplicably, controller-processor contracts and liabilities don't seem destined for any guidance from the Article 29 Working Party, at least according to the WP29's published work programs/roadmaps to date. However, some national regulators have picked up the baton. On September 13, the U.K. Information Commissioner's Office issued draft guidance, Contracts and liabilities between controllers and processors, for a brief consultation closing Oct. 10.
#Gobackto 
7 days ago
‘The real benefit is to prove to your people that agility, creativity and data can succeed over legacy businesses’
‘The real benefit is to prove to your people that agility, creativity and data can succeed over legacy businesses’
Digital transformation – I think and hope we are beyond the “why” stage and moving into the “what” stage 
RCNT.EU/OLMJT JUNE 30, 2017

JOHN STRAW, Enterprise entrepreneur
What does a digitally transformed company look like? That’s a question with a thousand answers. As an entrepreneur and investor, I get a multi-dimensional view of the landscape. Here’s how it looks…
Firstly, you have to ask yourself are we in business as a renovator or an innovator? A renovator in the sense of a continual quest to make things better or an innovator who is doing something completely new and radical. Both can have digital root structures, but the cultures are entirely different.
For an established business, transformation should not mean any shocks, good or bad. It’s business as usual (BAU), but moving to digital business as usual (DBAU). Culturally this is normally a renovation approach and the most critical element from a transformation perspective is to get the enthusiastic buy-in from senior middle managers who are often resistant to change.
#Gobackto 
7 days ago
Quantum Health (@QuantumHealth1) | Twitter
Quantum Health
@QuantumHealth1
Quantum Health is the leading care coordination and consumer navigation company. We are the experts who help you control your healthcare journey.

Columbus, Ohio
quantum-health.com
Joined July 2011
#healthcare  #membersupport  #consumer  #enterprise  #vendor  #Ohio 
9 days ago
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10 days ago
Accolade Introduces Maya Intelligence Engine, New Mobile App 20170613
SEATTLE, WA – June 13, 2017 – Accolade announces the Maya Intelligence Engine featuring Artificial Intelligence (AI) and Machine Learning to provide highly personalized healthcare support for individuals and their families. Maya is core to the Accolade healthcare engagement and influence platform, which supports individuals in making smart healthcare decisions that improve their healthcare experience and health outcomes, as well as costs to both individuals and their employers. The company also announces its new Accolade Mobile app, the first app in healthcare to enable live messaging with dedicated Health Assistants and Nurses on any health- or benefits-related question or concern.

MAYA Intelligence platform graphic

The Accolade solution integrates the broadest set of personal health data and information – benefit plans, medical and Rx claims, biometrics results, risk scoring, demographics, integrated point solutions, and interactions between members and Accolade Health Assistants and Nurses. With this data, the Maya Intelligence Engine performs sophisticated targeting of populations down to the individual level, presenting highly personalized recommendations to Health Assistants and Nurses as they engage with each member, and directly to members as they interact with Accolade through the web or mobile app.

“There is tremendous expectation in the industry for AI to solve some of the big challenges in healthcare, but it doesn’t work on its own,” said Mike Hilton, Chief Product Officer at Accolade. “To truly impact people’s health and the broken cost structure in healthcare, we need to apply AI to a far more personal and complete set of health data, and we need a way to deliver personalized and relevant healthcare recommendations to individuals. The combination of these factors has been missing in healthcare, but it exists with Accolade.”

Maya’s intelligence becomes more relevant, efficient and effective with every interaction between Accolade Health Assistants and Nurses and the individuals and families they support. The impact of Maya and the Accolade platform are seen in the 70% engagement levels across its employer populations, member satisfaction ratings of 98%, and employer cost savings of up to 5% in the first year and 15% by year five.

New Accolade Mobile Experience

The Maya intelligence engine powers the entire Accolade platform, including the company’s new mobile app, Accolade Mobile. This new mobile experience is the first mobile healthcare application to allow live messaging with dedicated Health Assistants and Nurses on any benefits- or health-related question or concern.

With Accolade Mobile, members can ask quick questions, engage in ongoing messages or escalate to phone calls with Health Assistants and Nurses. Accolade members are messaging about benefits questions, sending photos of their bills for review and clarification, getting support for health concerns and finding the right doctors, preparing for doctor visits with suggested questions from Accolade Nurses, and getting compassionate and trusted support to stay on track with provider care plans.

In just 30 days, Accolade Mobile holds a five-star rating in the iTunes app store, and is achieving higher than 50% engagement with registered members. Accolade Mobile is a part of the Accolade solution, available to members on iOS and Android phones.
#healthcare  #AI  #populationhealth  #enterprise  #vendor  #member  #engagement  #Accolade 
10 days ago
The health insurer of the future - Consumers’ advocate, providers’ partner PwC 201711
As powerful forces reshape healthcare, health insurers should make choices now about business model changes that will position them to prosper in the future. Strategies that build resilience will focus on what is known – healthcare’s increasing drive to be value-based, consumer-focused and technologically-enabled.

To thrive in the New Health Economy, health insurers will need to embrace these trends. They will need to adopt new ways of doing business, rather than tinkering with the traditional model. PwC’s Health Research Institute (HRI) has identified five models for the health insurer of the future that balance better engaging consumers and collaborating with providers to help keep the cost of care down.
#healthcare  #payer  #insurers  #outlook  #scenarios  #2017  #PwC 
10 days ago
UnitedHealthcare Consumer Sentiment Survey 201710
The UnitedHealthcare Consumer Sentiment Survey provides insights into Americans’ health care knowledge, opinions and preferences. This annual, longitudinal survey tracks consumers’ opinions over time, helping us to inform the conversation around how to make health care more affordable, accessible and easier to use. The data points are especially timely and relevant during open enrollment, the time each fall when Americans select their health benefits for the following year.

The survey focused on five key health care themes:

METHODOLOGY

The UnitedHealthcare Consumer Sentiment Survey was conducted using ORC International’s Telephone CARAVAN® omnibus among a landline and cell phone probability sample of 1,006 U.S. adults age 18 and older. The margin of error was plus or minus 3.1 percent at the 95 percent confidence level. Supplemental interviewing, also among probability samples, was conducted over the period Aug. 10-27, 2017.
1. Open Enrollment Preparedness
2. Technology Trends
3. Health Literacy
4. Customer Service
5. The Future of Medicare
#healthcare  #consumer  #challenges  #survey  #UHC  #fluency  #literacy 
10 days ago
UnitedHealth Group - More Americans Turn to Technology to Help Evaluate and Access Health Care 20171005
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More Americans Turn to Technology to Help Evaluate and Access Health Care; Health Literacy Remains a Challenge for Some Consumers
New UnitedHealthcare survey found that nearly 30 percent of respondents said the internet or mobile apps are the first source for information about health conditions; 42 percent said they are likely to use telemedicine to access medical care
Most people underestimated the role lifestyle choices play in premature chronic conditions, with many incorrectly attributing genetics as the primary cause of heart disease, stroke or diabetes
A growing number of people (32 percent) said they have used the internet or mobile apps in the last year to comparison shop for medical services, but some still underestimated the cost of care
Nearly 80 percent of respondents said the federal government should shift the Medicare program away from the traditional fee-for-service system to a model that emphasizes preventive care and rewards physicians for health outcomes
MINNETONKA, Minn. (Oct. 05, 2017) —
More Americans are turning to technology first to evaluate health conditions, and a growing number are interested in using the internet to access medical care, while opportunities remain to improve peoples’ understanding of basic health insurance terms and the connection between lifestyle choices and disease, according to a new UnitedHealthcare study.

These are some of the findings from the second annual UnitedHealthcare Consumer Sentiment Survey, which examines Americans’ attitudes and opinions about multiple areas of health care, including technology trends, health literacy and customer service. The survey’s key findings include:
#healthcare  #consumer  #survey  #fluency  #understanding  #challenges 
10 days ago
UnitedHealthcare survey: Insurance literacy remains an issue for consumers; patients leery on telehealth 20171006
UnitedHealthcare survey: Insurance literacy remains an issue for consumers; patients leery on telehealth
by Paige Minemyer | Oct 6, 2017 9:10am

Millennials are taking the most to online and mobile health options, according to a new survey.
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A significant number of Americans comparison shop for healthcare services, but limited health literacy may keep them from understanding what they're shopping for, according to a new survey. 

UnitedHealthcare released the results (PDF) of its annual consumer survey and found that nearly a third of respondents (32%) comparison shop for healthcare treatments, procedures and services, but few had a grasp on basic health insurance concepts. Just 9% of respondents could define all four basic insurance concepts outlined by the survey: insurance premium, deductible, co-insurance and out-of-pocket maximum. 

Some of the people surveyed were also unclear on how insurance networks work. Thirty-six percent said that they thought visiting an in-network provider would increase their care costs, while 24% thought it would have no impact on cost. 

RELATED: 5 models for the 'health insurer of the future' 

People also frequently overestimate the cost of common medical tests but underestimate the price for more complex surgical procedures, according to the survey. Only 4% of respondents could correctly estimate the cost of a knee MRI, and only 10% could guess the correct price for a knee replacement. 

The average price nationwide for a knee replacement is $36,000, but the majority of respondents (63%) estimated between $5,000 and $25,000. 

RELATED: Low health literacy a potential hurdle to consumer HIT adoption

The survey also examined consumers' affinity for and use of healthcare technology. Twenty-eight percent of respondents said either the internet or mobile apps are their first source for information about health conditions or symptoms, an increase from 25% in 2016's survey. 

Adoption rates are highest for millennials, with 36% saying they use tech as a primary source for health information. Meanwhile, just 20% of baby boomers surveyed said the same. Nearly half (44%) of millennials said they comparison shop online for healthcare services. 
#healthcare  #consumers  #literacy  #education 
10 days ago
Hospital Impact — Behavioral economics and big data may improve health and reduce healthcare 20170926
Hospital Impact—Behavioral economics and big data may improve health and reduce healthcare costs
by Tryggvi Thorgeirsson | Sep 26, 2017 4:09pm
Female-Patient-Doctor-Women's-Health-Credit:Getty/monkeybusinessimages
Behavioral economics combines lessons from psychology and economics to consider how people behave and how they are influenced by their emotions, identity and environment. (Getty/monkeybusinessimages)
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Organizations that want to reduce healthcare costs must first identify those drivers that are preventable and then determine the optimal path to avoid them. For lifestyle-related diseases like Type 2 diabetes, health promotion and lifestyle change programs present a real opportunity to lower healthcare costs while improving people’s health outcomes and care experience—all goals of the Institute for Healthcare Improvement’s Triple Aim.

In Iceland’s capital, Reykjavik, a combination of behavioral economics, big data and mobile technology is a promising way forward to identify individuals at increased risk of lifestyle-related diseases and reverse their condition.

What is behavioral economics? It combines lessons from psychology and economics to consider how people behave—as opposed to how they would behave if they were perfectly rational, with unlimited willpower, and solely acting out of self-interest. It considers how people are influenced by their emotions, identity, environment and the framing of information.

Behavioral economics can be applied to the prevention and management of diabetes, a disease that now costs an estimated $825 billion each year globally. A significant part of the economic burden stems from the number of people affected. About 422 million people have the disease, which equates to about 8.5% of the world’s population. In Iceland, where the population tends to be more physically active than the norm, the rate is 6.1%. However, it is experiencing an upward trend.

Because Type 2 diabetes develops slowly over months and years, the good news is the disease can often be delayed, prevented or even reversed. More than 1 in 3 adults are prediabetic—at higher risk for type 2 diabetes and cardiovascular disease—but a structured lifestyle change program focused on diet and physical activity can be an effective formula for achieving and maintaining a healthy weight and normal blood sugar level.
#healthcare  #behavioraleconomics  #be  #2017 
10 days ago
4 Major Trends Influencing the 2017 Predictive Analytics Hiring Market Burtch Works 20170918
4 Major Trends Influencing the 2017 Predictive Analytics Hiring Market
Posted September 18th, 2017

This post is an adapted excerpt from our upcoming report, The Burtch Works Study: Salaries of Predictive Analytics Professionals 2017, which examines updated compensation and demographic data.

View the webinar recording to see how predictive analytics salaries vary by experience level, region, industry, and residency status, plus key hiring market trends.

 

As many reading this report are undoubtedly aware, the use of predictive analytics in business continues to grow, and shows no signs of abating. The trends we highlighted in last year’s report – proliferation of Big Data initiatives, diversification of educational opportunities, and the blurring between data science and traditional predictive analytics – are only becoming more widespread. This year, we thought it would be beneficial to examine some of the key hiring market developments, as well as their implications for both predictive analytics job seekers and hiring authorities alike.
#analytics  #hiring  #trends  #BurtchWorks  #2017 
10 days ago
How Personalization and Artificial Intelligence Are Taking Branded Content to the Next Level 20171006
How Personalization and Artificial Intelligence Are Taking Branded Content to the Next Level

Check out even more about personalization and artificial intelligence with FUSE Enterprise.
In case you haven’t heard, the future of marketing will be a race for greater and greater personalization. In a noisy world where consumers are constantly bombarded with content online, it’s more important than ever for brands to deliver content that is highly relevant to individuals. In other words, relevancy is much more powerful than reach. “I think real-time personalization and artificial intelligence are the big technologies,” says Greg Grdodian, CEO of Reach Marketing, an integrated marketing solutions provider. “Everyone wants that individualized experience. And both of those technologies will help you get there and maximize every engagement.”
#personalization  #ai  #applications  #digital  #mobile  #advertising  #services 
12 days ago
The Non-Technical Guide to Machine Learning & Artificial Intelligence 20161116
The Non-Technical Guide to Machine Learning & Artificial Intelligence
I have a challenge for you.
In a few seconds, I want you to stop reading this article, and follow the instructions below.
Here you go:
1. Visit your your favorite source for Tech news (Twitter, Hacker News, Term Sheet, reddit, TechCrunch, Mattermark Daily, CB Insights, etc.)
2. Hit “crtl + f”
3. Search “artificial intelligence” or “machine learning”
4. If you don't find any matches, publicly shame me on Twitter.
I hope my point is obvious.
Machine learning and artificial intelligence (ML and AI) have seized Tech mindshare in a way few topics have in recent memory. A couple months ago I noticed people talking about artificial intelligence everywhere I looked. According to AI experts, everything from our jobs, to the wars we wage, to the food we eat, to the beer we drink, to the software we write will be affected.
Not being one to enjoy surprises, I decided to spend my free time learning as much about the space (and what the future holds) as possible. ML and AI are having a huge impact on our lives, and their roles are only increasing. The better informed you are, the better prepared you’ll be to handle these changes as they happen.
Rather than sit here and pretend I know everything there is to know about ML and AI, I’m going to hand you the resources I use to educate myself.
I hope you will use them too.
#ml  #AI  #explainer  #resources  #A+  SamDeBrule 
15 days ago
Hospital Impact — Behavioral economics and big data may improve health and reduce healthcare 20170926
Hospital Impact—Behavioral economics and big data may improve health and reduce healthcare costs
by Tryggvi Thorgeirsson | Sep 26, 2017 4:09pm
Female-Patient-Doctor-Women's-Health-Credit:Getty/monkeybusinessimages
Behavioral economics combines lessons from psychology and economics to consider how people behave and how they are influenced by their emotions, identity and environment. (Getty/monkeybusinessimages)
Share
Facebook
Twitter
LinkedIn
Email
Print
Organizations that want to reduce healthcare costs must first identify those drivers that are preventable and then determine the optimal path to avoid them. For lifestyle-related diseases like Type 2 diabetes, health promotion and lifestyle change programs present a real opportunity to lower healthcare costs while improving people’s health outcomes and care experience—all goals of the Institute for Healthcare Improvement’s Triple Aim.

In Iceland’s capital, Reykjavik, a combination of behavioral economics, big data and mobile technology is a promising way forward to identify individuals at increased risk of lifestyle-related diseases and reverse their condition.

What is behavioral economics? It combines lessons from psychology and economics to consider how people behave—as opposed to how they would behave if they were perfectly rational, with unlimited willpower, and solely acting out of self-interest. It considers how people are influenced by their emotions, identity, environment and the framing of information.

Behavioral economics can be applied to the prevention and management of diabetes, a disease that now costs an estimated $825 billion each year globally. A significant part of the economic burden stems from the number of people affected. About 422 million people have the disease, which equates to about 8.5% of the world’s population. In Iceland, where the population tends to be more physically active than the norm, the rate is 6.1%. However, it is experiencing an upward trend.

Because Type 2 diabetes develops slowly over months and years, the good news is the disease can often be delayed, prevented or even reversed. More than 1 in 3 adults are prediabetic—at higher risk for type 2 diabetes and cardiovascular disease—but a structured lifestyle change program focused on diet and physical activity can be an effective formula for achieving and maintaining a healthy weight and normal blood sugar level.
#healthcare  #behavioraleconomics  #be  #2017  from twitter
16 days ago
Twitter
“The new killer skill set is an mind-set that values over knowing”
agile  learning  from twitter
17 days ago
Folks, We’re Home Alone - The New York Times
“The new killer skill set is an mind-set that values over knowing”
agile  learning  from twitter
17 days ago
Alibaba’s Tsai Sees a ‘Very Hot War’ in India 20170928
Alibaba’s Tsai Sees a ‘Very Hot War’ in India
By Juro Osawa
, Yunan Zhang
and Shai Oster
Sep. 28, 2017 4:28 PM PDT · Mentions Amazon, Alibaba and 8 others Subscribe now
Alibaba and Amazon.com are part of a “very hot war” in India and it's far too early to call a winner there, Alibaba Vice Chairman Joe Tsai said in an interview.

Speaking at The Information’s Hong Kong subscriber summit on Thursday, Mr. Tsai also expressed his optimism about the long-term prospects of U.S.-China relations. Short-term tensions between the world’s two biggest economies have lately created uncertainties about U.S.-China cross-border investments, at a time when Alibaba’s financial affiliate, Ant Financial, is trying to gain approval for its deal to buy U.S. money-transfer firm MoneyGram.
#India  #China  #market  #opportunity  #Alibaba  #ecommerce  #2017 
19 days ago
Creating an innovation culture McKinsey 201709
Creating an innovation culture
By Dr. Waguih Ishak
Article Actions
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Corning’s Silicon Valley technology chief shares how to stay creative over the long haul, drawing on 40 years of experience.

It’s an extraordinary time for innovation. Technological change and industry disruption seem to be accelerating. And digital information networks are linking individuals, organizations, and nations as never before.

Stay current on your favorite topics
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Even as opportunities grow to exchange ideas and cross-fertilize innovative impulses across organizational boundaries, we’re also seeing a renaissance of something decidedly traditional: the corporate R&D department. Concentrations of scientific talent at institutions such as Bell Labs and PARC (a Xerox company) once ruled the innovation roost, but many company R&D units lost their luster as cost pressures made them less tenable and the digital revolution enabled smaller organizations to make outsized innovation contributions. Recently, though, a new generation of corporate R&D powerhouses has been emerging at technology leaders such as Amazon, Google, and Microsoft. The advance of artificial intelligence, for example, is creating a new set of innovation opportunities for these leaders.
#innovation  #enterprise  #organization  #culture  #2017  #McKinsey 
19 days ago
Comcast's The Farm Accelerator Managing Director Brings Corporate Chops and An Entrepreneurial Edge - Hypepotamus
Comcast’s The Farm Accelerator Managing Director Brings Corporate Chops and An Entrepreneurial Edge
SEPTEMBER 28, 2017 BY HOLLY BEILIN


The Farm, the Atlanta-based startup accelerator backed by Comcast NBCUniversal and directed by Boulder-based startup program Boomtown, has announced Burunda Prince-Jones as its Managing Director. Prince-Jones is an management executive with an entrepreneurial background, who most recently operated a high-performance consulting firm. Now, she’ll lead entrepreneurs through a personalized, fast-paced program designed to help them succeed.

A native Atlantan, Prince-Jones left the city for a chemical engineering degree at MIT and an MBA at Harvard. She served as a Fortune 500 executive at multiple companies and started two consulting firms focused on education and leadership training.

Toby Krout, Boomtown’s co-founder and Executive Director, says Prince-Jones was selected from hundreds of applications after an intense hiring process that took over a year, because of her unique combination of corporate, academic, non-profit, and entrepreneurial experience.

“Boomtown does not really have a global expansion strategy; we actually are much more interested in the community and the ecosystem themselves — injecting what we know works well but at the same time letting the community drive the program,” says Krout. “So that Managing Director role for us was so incredibly important. Burunda will be responsible for finding the right people for our team, who really have to buy into the vision and understand how we’re different. And so she has to have that at her core.”

Boomtown was selected by Comcast to direct The Farm, based at Comcast’s southeast headquarters at The Battery Atlanta, because of the program’s unique approach to serving the entrepreneur first. The accelerator, currently in its 9th technology and 4th Healthtech cohort, evolves its curriculum based on feedback from participants. It has helped grow more than 75 companies in three years, 85 percent of which are currently in operation with 88 percent generating revenue.
#atl  #startup  #accelerator  #Comcast  #Xfinity  #TheFarm  #BPJones 
20 days ago
Robot - Proof: Higher Education in the Age of Artificial Intelligence
ROBOT-PROOFHIGHER EDUCATION
IN THE AGE OF
ARTIFICIAL INTELLIGENCEJOSEPH E. AOUN
Driverless cars are hitting the road, powered by artificial intelligence. Robots can climb stairs, open doors, win Jeopardy, analyze stocks, work in factories, find parking spaces, advise oncologists. In the past, automation was considered a threat to low-skilled labor. Now, many high-skilled functions, including interpreting medical images, doing legal research, and analyzing data, are within the skill sets of machines.How can higher education prepare students for their professional lives when professions themselves are disappearing? In Robot-Proof, Northeastern University president Joseph Aoun proposes a way to educate the next generation of college students to invent, to create, and to discover—to fill needs in society that even the most sophisticated artificial intelligence agent cannot.
21 days ago
Huge volumes of data make real-time insurance a possibility
Huge volumes of data make real-time insurance a possibility

Drone insurance is showing the way

Print edition | Finance and economics
Sep 21st 2017
21 days ago
Verizon’s Mobile ‘Supercookies’ Seen as Threat to Privacy 20150125
Verizon’s Mobile ‘Supercookies’ Seen as Threat to Privacy
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By NATASHA SINGER and BRIAN X. CHENJAN. 25, 2015
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Jonathan Mayer, a lawyer and computer scientist, highlighted technology used by Turn, an advertising software company. Credit Jeff Chiu/Associated Press
For the last several months, cybersecurity experts have been warning Verizon Wireless that it was putting the privacy of its customers at risk. The computer codes the company uses to tag and follow its mobile subscribers around the web, they said, could make those consumers vulnerable to covert tracking and profiling.

It looks as if there was reason to worry.

This month Jonathan Mayer, a lawyer and computer science graduate student at Stanford University, reported on his blog that Turn, an advertising software company, was using Verizon’s unique customer codes to regenerate its own tracking tags after consumers had chosen to delete what is called a cookie — a little bit of code that can stick with your web browser after you have visited a site. In effect, Turn found a way to keep tracking visitors even after they tried to delete their digital footprints.
#privacy  #tracking  #regulation  #violation  #Verizon 
21 days ago
Verizon Settles With F.C.C. Over Hidden Tracking via ‘Supercookies’ 20160307
Verizon Settles With F.C.C. Over Hidden Tracking via ‘Supercookies’
Start Highlighting
By CECILIA KANGMARCH 7, 2016
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A Verizon Wireless store in San Francisco. Credit Justin Sullivan/Getty Images
WASHINGTON — The Federal Communications Commission said Monday that it had reached a settlement with Verizon Wireless for its use of hidden tracking technology known as “supercookies,” which were used for targeted advertising without customers’ permission.

As part of the settlement, Verizon Wireless was fined $1.35 million and is required to notify consumers of its data collection program, as well as get permission from users before sharing consumer data with third-party partners.

The penalty was small, but the enforcement action drew wide attention from the telecom industry as a glimpse of the F.C.C.’s expanding ambitions into privacy regulation. The agency is expected to soon consider first-time privacy rules for Internet service providers that could include mandates that wireless and fixed broadband providers get permission from users before tracking their behavior online.

As early as this week, the F.C.C. chairman, Tom Wheeler, may circulate a proposal on privacy for the five-member agency to vote on at the end of the month.

“The Verizon supercookies issue has been one of the big poster children for why you need to worry about ISPs tracking their customers and why you need rules for ISPs,” said Harold Feld, a legal analyst at the nonprofit media advocacy group Public Knowledge, referring to Internet service providers.
#privacy  #tracking  #regulation  #FCC  #violation  #practices  #case  #2016  #Verizon 
21 days ago
Vizio settles for $2.2 million in FTC suit over snooping on consumers’ viewing habits 20170602
Vizio settles for $2.2 million in FTC suit over snooping on consumers’ viewing habits
Posted Feb 6, 2017 by Devin Coldewey
Next Story
Leica’s M10 is an extravagant camera that’s more artisan than professional

TV maker Vizio will pay $2.2 million to settle a lawsuit after it was shown that for years the company has been secretly collecting viewing data and selling it to third parties. The penalty may seem light, but the damage to the Vizio brand may be irreparable.

The lawsuit was filed against Vizio and subsidiary Inscape Services by the FTC, the Attorney General of New Jersey and the director of the state’s Division of Consumer Affairs.

As the FTC blog post makes clear, this was no innocent, anonymized data collection. The exact show being watched, second by second, was recorded and sold alongside IP data and metadata like MAC addresses, nearby Wi-Fi networks and so on. This would be matched by a third party to individuals or households — and while names were not allowed to be attached to the data, pretty much every other detail was: “sex, age, income, marital status, household size, education, and home ownership,” according to the FTC.

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TVs did this under the guise of a feature called “Smart Interactivity,” which ostensibly offered “program offers or suggestions.” Not only does the setting say nothing of pervasive tracking of viewing habits, but the lawsuit notes “Defendants have not provided any ‘program offers or suggestions’ or ‘program-related information’ for most televisions for more than two years” — so the feature was essentially a dummy. Even older TVs that didn’t have the feature originally were updated and opted into the program.
In addition to coughing up some money, Vizio must delete all data collected up until March of 2016 and improve its privacy practices. The $2.2 million includes $1.5 million for the FTC and $1 million for the New Jersey’s DCA — although $300,000 was suspended from the latter amount as a carrot measure to get Vizio to comply with the terms of the settlement. Vizio admits to no wrongdoing.
#privacy  #Vizio  #violations  #regulation  #FTC  #case  #2017 
21 days ago
Dual Track Development is not Duel Track Jeff Patton 20170510
Dual Track Development is not Duel Track
tl;dr:
If you’ve heard the term “dual-track development” before, this article explains where it comes from, and what it means. Here are the key points:

Development work focuses on predictability and quality
Discovery work focuses on fast learning and validation
Discovery and development are visualized in two tracks because it’s two kinds of work, and two kinds of thinking
Discovery is a necessary part of product development. Practice it with the same agile and lean principles in mind.
If we’re doing discovery right, we substantially change and kill lots of ideas.
While a product manager, designer, and senior engineer may lead and orchestrate discovery, they must involve the whole team in discovery tasks wherever possible. Keep discovery work and progress visible to the whole team.
Keep measuring and learning even after you ship.
Now, if anyone asks you what the article is about, you can answer them without reading the next 1,500 words.
#innovation  #deveops  #agile  #design  #dualtrack  #JeffPatton 
22 days ago
Iolo Privacy Guardian - Digital Fingerprint Test
Our scan shows just some of the tracks
your digital fingerprint leaves behind
Scan completed on 10497 KB of tracked data (100%)
Your location: Atlanta show on map
IP Address: 73.237.58.210
Internet Service Provider:
Comcast Cable
OS: Windows
You are logged in to: 6 accounts show me
Browser: Chrome 60.0.3112.113
Cookies: Allowed
Digital fingerprint ID: a4f220a19c5c2076328c05e0ceb04161
#privacy  #app  #vendor 
23 days ago
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