Digital Health VC Funding Surges to Record $4.9 Billion in 2018 20180718
Digital Health VC Funding Surges to Record $4.9 Billion in 2018 July 18, 2018 by Heather Landi | Reprints Click To View Gallery Global venture capital funding for digital health companies in the first half of 2018 was 22 percent higher year-over-year (YoY) with a record $4.9 billion raised in 383 deals compared to the $4 billion in 359 deals in the same time period last year, according to Mercom Capital Group’s latest report. Mercom Capital Group, an Austin, Texas-based global communications and research firm, released its report on funding and mergers and acquisitions (M&A) activity for the digital health sector for the second quarter (Q2) and first half (1H) of 2018. According to the firm’s analysis, digital health venture capital funding is well on pace to surpass 2017’s all-time VC high of $7.2 billion. In the second quarter of 2018, VC funding held strong at $2.4 billion in 196 deals following the $2.5 billion raised in 187 deals in Q1 2018. Digital health companies have now received $30.6 billion in the 3,833 venture capital funding deals Mercom has tracked since 2010, the report states. Total corporate funding in digital health companies—including VC, debt, and public market financing—also set a new record at $4.4 billion in the second quarter of 2018 compared to $3 billion in the first quarter of 2018. There was close to $2 billion in IPO and pre-IPO public market financing activity by Chinese companies in the first half of this year, according to the Mercom Capital Group report.
#hc  #digitalhealth  #vc  #funding  #analystreport  +Mercom 
4 days ago
Digital Health Report Silicon Valley Bank 2018
Consumer Digital Health: Market Shift Is Leading to New Opportunities
The next wave of consumer digital health investment is shifting from consumer wellness applications to clinically driven solutions that drive better health outcomes at lower costs. This trend underscores why there are greater opportunities for companies with solutions that create value for payers, providers, employers and consumers. In the second report in the digital health series, SVB Analytics digs deep into the consumer stakeholder and:

Analyzes broad consumer health trends and business models
Examines the shift in investments from consumer wellness to clinically focused solutions
Describes adaptation strategies of consumer wellness and wearables companies
Explores potential areas of opportunity in disease management
#hc  #digitalhealth  #startups  #vc  #funding  #analystreport  +SVB 
4 days ago
Healthcare Investments and Exits 2018 Silicon Valley Bank 201807
Healthcare Investments and Exits report, SV

nnovation Wave Drives Robust Activity
In our mid-year Healthcare Investments and Exits report, SVB analyzed the fundraising, investment, M&A and IPO activity of private, venture-backed biopharma, medical device and diagnostic/tools companies.

Halfway through 2018, U.S. healthcare venture fundraising reached $4.5 billion — and is expected to closely match the last year’s record of $9.1 billion. Investments in venture-backed companies are also on pace to surpass last year.

The report highlights include:

We saw 30 biopharma IPOs in the first six months of 2018, compared with 31 for all of 2017.
Biopharma Series A investments are exploding and by mid-year have already exceeded full-year 2017 totals.
Device M&A deals are stable, and the IPO market is favoring neuro-focused companies, with three IPOs in the first half of 2018.
Makers of synthetic biology building blocks — including computational design, CRISPR editing, DNA/RNA synthesis and organism engineering tools — are revolutionizing the subsector, and investments in these companies continue to climb.
#hc  #vc  #funding  #exits  #M&A  #startups  +SVB 
4 days ago
Customer experience in the New Health Economy PwC
Customer experience in the New Health Economy: The data cure Save Overview US health leaders say that building a better customer experience for patients is a top priority. Yet, despite spending millions of dollars on the administrative aspects of healthcare such as online billing, digital communication tools and facility improvements, a gap remains between where companies need to be and where they are today. The primary reason for this gap is that the US health industry is not able to reap the full potential of data being generated about American health consumers. Health companies lack a complete view of their customers because they lack data. Health companies should start connecting data about not just the patient encounter but also the preferences and social circumstances shaping everyday health and healthcare-related purchasing decisions. This will be crucial for delivering an outstanding customer experience that can increase brand strength, grow market shares of profitable business lines, enhance margins and improve health outcomes—all crucial for value-based care.
#hc  #patientexperience  #cx  #patients  +PwC 
4 days ago
The New Health Economy in the age of disruption PwC 2018
The New Health Economy in the age of disruption The US health industry is in a period of unprecedented dealmaking. New business models are emerging from unexpected sources. These models, a mix of new entrants and traditional players, are coming together to offer new capabilities and models of care. Their arrival in the industry should prompt players new and old to reconsider their business models and their strategies or risk being left behind
#hc  #competition  #startups  #disruption  +PwC 
4 days ago
Healthcare’s new entrants Who will be the industry's PwC 2018
Healthcare’s new entrants: Who will be the industry’s Save As the health sector’s center of gravity shifts toward customers, savvy new players are moving fast to capitalize on the change. These new entrants are poised to shake up the industry, drawing billions of dollars in revenue from traditional healthcare organizations while building lucrative new markets in the burgeoning New Health Economy. HRI examined these new players, and measured the impact they are having on the industry. New entrants are creating options consumers want, threatening billions of dollars in hospital and physician revenue. HRI asked consumers how likely they would be to choose various care alternatives, if they cost less than the traditional choice. Percent of respondents answering “Very likely” and “Somewhat likely” to consider these options.
#hc  #providers  #competition  #disruption  +PwC  #A+ 
4 days ago
10 statistics on US venture capital funding in healthcare - SEE UPDATES 20180221
0 statistics on US venture capital funding in healthcare Written by Eric Oliver | February 21, 2018 | Print  | Email inShare PwC and CB Insights published their Healthcare MoneyTree report providing an overview of U.S.-based venture capital funding in the healthcare industry for the fourth quarter of 2017. Here are 10 statistics from the report: 1. Total U.S. healthcare investment increased 25 percent in 2017. A total of $14.4 billion was invested through 748 deals. Of that funding, 30 percent was raised in 20 megaterm deals. 2. The average venture capital investment increased from $10 million in 2012 to $19.3 million in 2017. 3. In the fourth quarter, approximately $4 billion was invested in the U.S. healthcare sector. There were a total of 182 deals, which was down from the 184 deals in the third quarter.
#hc  #vc  #funding  #2018  #Q1 
4 days ago
StartUp Health Presentations on SlideShare
StartUp Health Following 33 SlideShares 444 Followers 1 Clipboard
#hc  #digitalhealth  #startups  #lists  #funding  #vc 
4 days ago
StartUp Health Insights StartUp Health AARP 201807
StartUp Health Insights Global Digital Health Funding Report 2018 Midyear The first half of 2018 has brought an increase in deal volume and a total of $6.1B invested in digital health companies across the globe - showing a heightened confidence in the sector.
#hc  #digitalhealth  #startups  #vc  #funding  #AARP 
4 days ago
GRAIL - Commitment to Scientific Rigor and Clinical Utility
GRAIL approach GRAIL is poised to detect cancer early in asymptomatic individuals by combining high-intensity sequencing of unprecedented breadth and depth with the techniques of modern data science. Through one of the largest clinical trial programs ever pursued in genomic medicine, GRAIL will create vast datasets to develop our products and demonstrate their clinical utility.
#hc  #disease  #cancer  #detection  #startup  #funding  #VC  +Grail 
4 days ago
Coming to an industry near you Why AI should be at the center of your corporate strategy PitchBook 20180726
Coming to an industry near you: Why AI should be at the center of your corporate strategy July 26, 2018 Share:    From healthcare to manufacturing, artificial intelligence will impact every industry. Imagine, for example, AI-driven platforms that improve population health using aggregated genome, patient and treatment data. Or factory floors run by industrial robots that repeatedly perform tasks until they’ve achieved perfect accuracy and speed.  Although these might seem like scenes from another world or some distant future, they're snapshots of the present. As AI augments or replaces existing software, it will completely change the way we work and live, and corporations will need to adapt their strategy to keep up.
#ai  #trends  #impact  #hc  #vc  #investing  #2018 
4 days ago
Eric Rodgers (@ericfrodgers) | Twitter
Eric Rodgers @ericfrodgers Follows you Top 30 Under 30, 2x Google Search Excellence Awards. Obsessed with #MarTech & #BigData. Loving & Fueling Digital Disruption. Founder @StackProsinc & @DRVNIntel! Toronto, Ontario Joined July 2015
#ecommerce  #online  #digital  #martech  #tl  #SME  #advisor  #PEH 
4 days ago
2018 Venture Capital Outlook: 1Q Follow-Up PitchBook 20180404
Venture Capital Outlook: 1Q Follow-Up April 4, 2018 As 2018 kicked off, PitchBook’s venture capital research analysts provided our outlook on key themes that would shape the venture landscape throughout the year. Here we take a look at how our themes have played out early in 2018. Highlights include: Continued bifurcation of VC valuations, with late-stage pricing remaining elevated while angel & seed sees a pullback Alternative exits become less alternative Median fund size will continue to grow Venture activity will increase in entrepreneurial hubs outside California Unicorns will hit the exits, with haircuts coming to several Net cashflows to LPs will stay positive as exit values get a boost ICOs becoming more institutionalized Accelerated fintech consolidation
#vc  #trends  #2018 
4 days ago
Walgreens ups the ante for online healthcare delivery 20180802
Walgreens ups the ante for online healthcare delivery
Mark Brohan | Aug 2, 2018
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The Find Care Now marketplace is the latest move by Walgreens, which operates 9,800 drugstores, to turn its e-commerce site into a digital healthcare delivery platform.
The battle for drugstore and digital healthcare shoppers is underway as the retail pharmacy market consolidates and the big chains race to turn their e-commerce sites and stores into one-stop stores for healthcare services.

CVS Health, with 9,700 drugstores nationwide and its pending acquisition of Aetna Inc., has been the chain making the most moves. In June, CVS Pharmacy, the retail pharmacy division of CVS Health, added additional delivery options for its stores and mobile app. CVS Pharmacy customers nationally can now opt to have their prescriptions delivered to their home, rather than going to the store to pick them up. CVS also rolled out same-day prescription delivery to Boston, Miami, Philadelphia, San Francisco and Washington, DC in addition to New York.

But faced with more competition from CVS and Inc. once it completes its much publicized takeover of digital pharmacy PillPack Inc., Walgreens Boots Alliance Inc. is now rolling out its latest online initiative: a digital marketplace of healthcare providers. With the newly developed marketplace, consumers can use desktop and mobile versions of and the Walgreens mobile app to access Find Care Now.
#hc  #pharmacy  #digital  #telehealth  #providers  #innovation  #retail  +Walgreens 
4 days ago
A digital drugstore hints at going national 20180814
NEWS A digital drugstore hints at going national Mark Brohan | Aug 14, 2018 Share: Share on Twitter Share on Facebook Share on LinkedIn Share on Google+ Capsule is the latest digital pharmacy to announce expansion plans, but its latest round of $50 million in new funding isn’t anywhere near the size of the deal for to acquire PillPack, a digital pharmacy based in Manchester, New Hampshire, for a reported $1 billion.
#hc  #Rx  #digital  #drugstore  #online  #retail  #startup  #funding  +Capsule 
4 days ago
[Online pharmacy] Capsule is "ripe for expansion because the bricks-and-mortar drugstore business is due for 'signi…
from twitter
4 days ago
“Should Copy the Human Brain? Deep learning has hit a wall & a debate is raging about how to get to the next l…
AI  from twitter
4 days ago
FDA permits marketing of artificial intelligence-based device to detect certain diabetes-related eye problems 20180411
FDA permits marketing of artificial intelligence-based device to detect certain diabetes-related eye problems SHARE TWEET LINKEDIN PIN IT EMAIL PRINT For Immediate Release April 11, 2018 Release Español The U.S. Food and Drug Administration today permitted marketing of the first medical device to use artificial intelligence to detect greater than a mild level of the eye disease diabetic retinopathy in adults who have diabetes. Diabetic retinopathy occurs when high levels of blood sugar lead to damage in the blood vessels of the retina, the light-sensitive tissue in the back of the eye. Diabetic retinopathy is the most common cause of vision loss among the more than 30 million Americans living with diabetes and the leading cause of vision impairment and blindness among working-age adults. “Early detection of retinopathy is an important part of managing care for the millions of people with diabetes, yet many patients with diabetes are not adequately screened for diabetic retinopathy since about 50 percent of them do not see their eye doctor on a yearly basis,” said Malvina Eydelman, M.D., director of the Division of Ophthalmic, and Ear, Nose and Throat Devices at the FDA's Center for Devices and Radiological Health. “Today’s decision permits the marketing of a novel artificial intelligence technology that can be used in a primary care doctor’s office. The FDA will continue to facilitate the availability of safe and effective digital health devices that may improve patient access to needed health care.”
#ai  #hc  #diagnostic  #diabetics  #eye  #disease  #FDA  #startup 
4 days ago
Should Artificial Intelligence Copy the Human Brain? Chris Mims WSJ 20180804
Should Artificial Intelligence Copy the Human Brain? The biggest breakthrough in AI, deep learning, has hit a wall, and a debate is raging about how to get to the next level ILLUSTRATION: BRIAN STAUFFER 150 COMMENTS By Christopher Mims Aug. 4, 2018 12:01 a.m. ET Everything we’re injecting artificial intelligence into—self-driving vehicles, robot doctors, the social-credit scores of more than a billion Chinese citizens and more—hinges on a debate about how to make AI do things it can’t, at present. What was once merely an academic concern now has consequence for billions of dollars’ worth of talent and infrastructure and, you know, the future of the human race. That debate comes down to whether or not the current approaches to building AI are enough. With a few tweaks and the application of enough brute computational force, will the technology we have now be capable of true “intelligence,” in the sense we imagine it exists in an animal or a human? On one side of this debate are the proponents of “deep learning”—an approach that, since a landmark paper in 2012 by a trio of researchers at the University of Toronto, has exploded in popularity. While far from the only approach to artificial intelligence, it has demonstrated abilities beyond what previous AI tech could accomplish. The “deep” in “deep learning” refers to the number of layers of artificial neurons in a network of them. As in their biological equivalents, artificial nervous systems with more layers of neurons are capable of more sophisticated kinds of learning.
#ai  #models  #approach  #status  #outlook  +WSJ 
4 days ago
Intuition, Expertise, Learning, Humans and Machines Interview with Daniel Kahneman Video 20180427
The Future of Work Conference 2018: Intuition, Expertise, Learning, Humans and Machines 3,243 views 48 1 SHARE MIT Sloan Alumni Published on May 17, 2018 SUBSCRIBE 2.5K The Future of Work: Capital Markets, Digital Assets, and the Disruption of Labor Date: Friday, April 27, 2018 MODERATOR: Erik Brynjolffson, PhD '91 DISCUSSANT: Daniel Kahneman, Professor of Psychology and Public Affairs Emeritus, Princeton University; Nobel Laureate; Author of Thinking, Fast and Slow
#ml  #ai  #decisionmaking  +DanielKahneman 
4 days ago
2/2 “In general, if you allow people to override you lose validity... people override too often and ove…
algorithms  from twitter
4 days ago
Should algorithms be in the driver's seat? 20180522
SHOULD ALGORITHMS BE IN THE DRIVER'S SEAT? NOBEL LAUREATE DANIEL KAHNEMAN THINKS SO WHEN IT COMES TO REDUCING NOISE. By Tom Relihan  |  May 22, 2018 Too much noise can be expensive for an organization, but Nobel laureate Daniel Kahneman says it can be reduced through algorithms. WHY IT MATTERS High variability among people working on the same task leads to noise, which can become expensive. But algorithms can be immune to its effects. Give 50 insurance underwriters the same task, and the chances are pretty high none of them will do it exactly the same way as each of the others. That variability introduces what Nobel laureate Daniel Kahneman calls “noise,” and it can be costly for an organization.  “In many occupations, a single person makes decisions on behalf of the whole organization, like a triage nurse in the emergency room. And if you have a lot of noise, it sets a ceiling about how accurate you can be,” Kahneman said, in a conversation with MIT Sloan professor Erik Brynjolfsson at the 2018 Digital Economy Conference in New York City on April 27.  Kahneman, the author of the best-selling 2011 book “Thinking, Fast and Slow,” won the Nobel prize in economics in 2002 for his work challenging human rationality and judgment. A psychologist by training, he was the first non-economist to win the prize.
#AI  #decisionmaking  #human  #judgement  #thinking  +DanielKahneman  #A+  ai  ml 
4 days ago
Medical AI Safety: We have a problem. Luke Oakden-Rayner 20180711
Medical AI Safety: We have a problem. JULY 11, 2018 ~ LUKEOAKDENRAYNER This is the start of a new blog series on the most important topic I will probably ever write about: medical AI safety. This is a timely discussion, because we are approaching a tipping point. For the first time ever AI systems are replacing human judgement in actual clinics. For the first time ever AI systems could directly harm patients, with unsafe systems leading to overspending, injury, or even death. For the first time ever, AI systems could actually be responsible for medical disasters. If that sounds ominous, it should. I don’t think we are being nearly careful enough.   Medical safety When considering the issue of near-term* AI safety, we need to recognise that AI applied to human medicine is different than AI in almost all other areas. In the tech world performance is often valued above all else, and the risks are treated as secondary. This is exemplified in the unofficial motto of many Silicon Valley software companies – “move fast and break things”. In contrast to software companies, the semi-official creed of many doctors (the Hippocratic Oath) begins with “first, do no harm”. The risk to life and health in medical research requires us to put safety first. This is baked into medical research, for example drug companies are required to demonstrate safety before they are allowed to test performance.
#hc  #ai  #diagnostics  #physcian  #tl  #SME  #critique  >rr 
4 days ago
“We are approaching a tipping point. For the first time ever systems are replacing human in actual c…
AI  judgement  from twitter
4 days ago
Luke Oakden-Rayner (@DrLukeOR) | Twitter
Luke Oakden-Rayner @DrLukeOR PhD student, radiologist, blogger, deep learning in medicine researcher Adelaide, South Australia Joined November 2016
#hc  #ai  #tl  #SME  >rr 
4 days ago
Think101x The Science of Everyday Thinking
#learning  #psychology  #heuristics  #biases  #course  #online  #productivity  #reasoning  #PEH  >rt 
4 days ago
Learning to Learn: How to boost learning Episode 5 YouTube
Episode 5 − Learning to Learn: How to boost learning 37,801 views 47 5 SHARE Think101 Published on Mar 30, 2014 SUBSCRIBE 9.6K Improving everyday thinking also involves improving the way we learn and retain information. Unfortunately, people generally have a poor understanding of how they learn and remember. We discuss some evidence-based learning strategies that boost learning and memory. Think101x: The Science of Everyday Thinking is a free online course on edX that's open to anyone. You don't need any previous education or experience, and you can participate as much or as little as you'd like. Learn more at: .
#learning  #biases  #courses  #video  >rt 
4 days ago
DeepMind’s AI can detect over 50 eye diseases as accurately as a doctor The Verge 20180813
DeepMind’s AI can detect over 50 eye diseases as accurately as a doctor 4 The system analyzes 3D scans of the retina and could help speed up diagnoses in hospitals By James Vincent@jjvincent Aug 13, 2018, 11:01am EDT SHARE Step by step, condition by condition, AI systems are slowly learning to diagnose disease as well as any human doctor, and they could soon be working in a hospital near you. The latest example is from London, where researchers from Google’s DeepMind subsidiary, UCL, and Moorfields Eye Hospital have used deep learning to create software that identifies dozens of common eye diseases from 3D scans and then recommends the patient for treatment. The work is the result of a multiyear collaboration between the three institutions. And while the software is not ready for clinical use, it could be deployed in hospitals in a matter of years. Those involved in the research described is as “ground-breaking.” Mustafa Suleyman, head of DeepMind Health, said in a press statement that the project was “incredibly exciting” and could, in time, “transform the diagnosis, treatment, and management of patients with sight threatening eye conditions [...] around the world.”
#hc  #ai  #diagnosis  #eye  #disease  #application  +DeepMind 
4 days ago
DeepMind AI matches health experts at spotting eye diseases 20180813
DeepMind AI matches health experts at spotting eye diseases The tool searches OCT scans for over 50 eye diseases including macular degeneration. Nick Summers, @nisummers 08.13.18 in Medicine 0 Comments 407 Shares Moorfields Eye Hospital    Sponsored Links by Taboola Best & Worst Refinance Mortgage Companies in Georgia This Is Mia Khalifa's Ride Everybody's Talking About InvestmentGuru How Much Money Do You Really Get from a Reverse Mortgage? NewRetirement DeepMind has successfully developed a system that can analyze retinal scans and spot symptoms of sight-threatening eye diseases. Today, the AI division -- owned by Google's parent company Alphabet -- published "early results" of a research project with the UK's Moorfields Eye Hospital. They show that the company's algorithms can quickly examine optical coherence tomography (OCT) scans and make diagnoses with the same accuracy as human clinicians. In addition, the system can show its workings, allowing eye care professionals to scrutinize the final assessment. At the moment, hospitals and clinics use flesh-and-bone specialists to dissect OCT scans. The sheer volume they have to process, however -- Moorfields Eye Hospital analyzes over 1,000 every day -- means there can be substantial delays between the initial scan, diagnosis and treatment. Occasionally, problems are caught too late and the developing symptoms cause permanent and irreversible sight loss.
#ai  #diagnostic  #eye  #disease  #startup  +DeepMind 
4 days ago
Evernote Essentials — Home – Brett Kelly (Subscribed)
Welcome to the Evernote Essentials Customer Center. This will be your hub for all things Evernote Essentials. Your download links are at the bottom of this page; scroll down and get clicking!
#evernote  #research  #tools 
5 days ago
Cloudera Now Virtual Event 20180802
Agenda Keynote Welcome - Mick Hollison, Cloudera Journey to a data-driven enterprise - Amy O'Connor, Cloudera Fireside chat with Ray Wang, Constellation Research - Moderated by Amy O'Connor, Cloudera Nine Key Learnings from GSK's Data Journey - Mark Ramsey, GSK Komatsu Mining Customer Story - Jason Knuth, Komatsu The Cloudera Story - Rob Johnson, Cloudera Closing Keynote - Mick Hollison, Cloudera
#analytics  #ml  #enterprise  #deployment  #casestudies  #conference  #webinar  +Cloudera  #A+  >rt 
5 days ago
Cloudera - Machine Learning | Analytics | Cloud
Cloudera was founded in 2008 by some of the brightest minds at Silicon Valley’s leading companies, including Google (Christophe Bisciglia), Yahoo! (Amr Awadallah), Oracle (Mike Olson), and Facebook (Jeff Hammerbacher). Our founders held at their core the belief that open source, open standards, and open markets are best. That belief remains central to our values. Doug Cutting, co-creator of Hadoop, joined the company in 2009 as Chief Architect and remains in that role. Today, Cloudera has more than 1,600 employees — each with their own hoodie. We have offices in 24 countries around the globe, with our headquarters in Palo Alto, California.
#analytics  #ml  #cloud  #vendor  +Cloudera  >rt 
5 days ago
Harrison Thomas (@harri_thomas) | Twitter
Harrison Thomas @harri_thomas Co-Founder of @Respondent_io Portland, OR Joined April 2012
#marketresearch  #tools  #startup  #founder 
5 days ago
Top emerging technologies for the future of marketing Webinar Forrester
Top emerging technologies for the future of marketing A complimentary Forrester webinar Artificial intelligence is a red-hot topic, and most martech and adtech vendors use AI as a keyword to pitch their capabilities. What’s the reality behind the hype? And how will chatbots, voice-based intelligent agents like Amazon Alexa or Google Assistant, and augmented/virtual reality play a role? Complimentary on-demand webinar Complete the form to watch this on-demand webinar.
#technology  #martech  #webinar  +Forrester 
5 days ago
Machine Learning Foundations A Case Study Approach | Coursera
Machine Learning Foundations: A Case Study Approach About this course: Do you have data and wonder what it can tell you? Do you need a deeper understanding of the core ways in which machine learning can improve your business? Do you want to be able to converse with specialists about anything from regression and classification to deep learning and recommender systems? In this course, you will get hands-on experience with machine learning from a series of practical case-studies. At the end of the first course you will have studied how to predict house prices based on house-level features, analyze sentiment from user reviews, retrieve documents of interest, recommend products, and search for images. Through hands-on practice with these use cases, you will be able to apply machine learning methods in a wide range of domains. This first course treats the machine learning method as a black box. Using this abstraction, you will focus on understanding tasks of interest, matching these tasks to machine learning tools, and assessing the quality of the output. In subsequent courses, you will delve into the components of this black box by examining models and algorithms. Together, these pieces form the machine learning pipeline, which you will use in developing intelligent applications.
#ml  #course  #2018  #UWashington 
5 days ago
Tom Robertshaw (@bobbyshaw) | Twitter
Tom Robertshaw @bobbyshaw Follows you Ecommerce Evangelist @space48ers. Magento Master. Married to @sharibary. Man Utd. Bath Rugby. Post-hardcore music. Beer. ªª ºº Bath, UK Joined February 2009
#ecommerce  #SME 
6 days ago
How-To Guide - Content Marketing Institute
GETTING STARTED Content Marketing 101 begins
PLAN Build fundamentals of your planAUDIENCE Understand your core audiences
STORY Tell your brand story
CHANNELS Determine your distribution channels
PROCESS Manage your team and tools
CONVERSATION Create your content and listen
MEASUREMENT Prove the effectiveness of your program
#socialmedia  #contentmarketing  #explainers  #guides  #advice  #resources  #A+ 
6 days ago
50 of the Best Social Media Tools Selected by Top Marketers 20180806
50 of the Best Social Media Tools Selected by Top Marketers Editor’s note: You may have missed this article when CMI published it in 2016. It’s been updated because we know our readers always love to discover or be reminded of a great social media tool. Let’s be honest, social media is a jungle. Forget about the flood of apps, integrations, and add-ons, just figuring which network you should invest in is overwhelming. What if you could ask today’s influential online marketers one question: “What social media tool is your all-time, desert-island, can’t-live-without favorite?” That’s what I did. What follows are – by any list or metric – 51 big names in online marketing, content marketing, and e-commerce along with their top social-media tool and reason for loving it.
#socialmedia  #tools  #research 
6 days ago
There Will Never Be an Age of Artificial Intimacy Sherry Turkle NYT 20180811
There Will Never Be an Age of Artificial Intimacy Robots may be better than nothing, but they still won’t be enough. By Sherry Turkle A professor in the program in Science, Technology and Society at M.I.T. Aug. 11, 2018

Years ago I spoke with a 16-year-old girl who was considering the idea of having a computer companion in the future, and she described the upside to me. It’s not that the robot she’d imagined, a vastly more sophisticated Siri, was so inspiring. It’s that she’d already found people to be so disappointing. And now, for the first time, she explained me, people have options. Back then I thought her comments seemed prescient. Now I find them timely.

“There are people who have tried to make friends, but stumbled so badly that they’ve given up,” she said. “So when they hear this idea of robots as companions, well … it’s not like a robot has the mind to walk away or leave you or anything like that.”

This girl had grown up in the time of Siri, a conversational object presented as an empathy machine — a thing that could understand her. And so it seemed natural to her that other machines would expand the range of conversation. But there is something she may have been too young to understand — or, like a lot of us — prone to forget when we talk to machines. These robots can perform empathy in a conversation about your friend, your mother, your child or your lover, but they have no experience of any of these relationships. Machines have not known the arc of a human life. They feel nothing of the human loss or love we describe to them. Their conversations about life occupy the realm of the as-if.
#ai  #critique  #limitations  #empathy 
6 days ago
Best Movies & TV Shows on Amazon's Prime Video - Metacritic
THE BEST RECENT ADDITIONS TO PRIME VIDEO The following recently added titles received a Metascore of 61 or higher (or are much older "classics" that do not have a Metascore). Mediocre and poorly reviewed releases are omitted; this is just the good stuff added within the past few months. Releases are ordered by date added to Amazon (newest first).
#Metacritic  #movies  #Amazon  #streaming  #PEH 
8 days ago
How Portability Ruined the Telephone Ian Bogost The Atlantic 20150812
Don't Hate the Phone Call, Hate the Phone Our telephone habits have changed, but so have the infrastructure and design of the handset. IAN BOGOST AUG 12, 2015 IAN BOGOST Share Tweet Email One of the ironies of modern life is that everyone is glued to their phones, but nobody uses them as phones anymore. Not by choice, anyway. Phone calls—you know, where you put the thing up to your ear and speak to someone in real time—are becoming relics of a bygone era, the “phone” part of a smartphone turning vestigial as communication evolves, willingly or not, into data-oriented formats like text messaging and chat apps. Get our politics coverage delivered to your inbox. Sign up for The Atlantic Politics & Policy Daily to know what mattered that day, what our editors are reading, and more. Email Address (required) Enter your email Sign Up Thanks for signing up! The distaste for telephony is especially acute among Millennials, who have come of age in a world of AIM and texting, then gchat and iMessage, but it’s hardly limited to young people. When asked, people with a distaste for phone calls argue that they are presumptuous and intrusive, especially given alternative methods of contact that don’t make unbidden demands for someone’s undivided attention. In response, some have diagnosed a kind of telephoniphobia among this set. When even initiating phone calls is a problem—and even innocuous ones, like phoning the local Thai place to order takeout—then anxiety rather than habit may be to blame: When asynchronous, textual media like email or WhatsApp allow you to intricately craft every exchange, the improvisational nature of ordinary, live conversation can feel like an unfamiliar burden. Those in power sometimes think that this unease is a defect in need of remediation, while those supposedly afflicted by it say they are actually just fine, thanks very much.
#tech  #mobile  #UX  #design  #usability  #engagement 
8 days ago
Why Doesn't Anyone Answer the Phone Anymore Alex Madrigal The Atlantic 20180531
Why No One Answers Their Phone Anymore Telephone culture is disappearing. ALEXIS C. MADRIGAL MAY 31, 2018 ERIC THAYER / REUTERS Share Tweet Email The telephone swept into Americans’ lives in the first decades of the 20th century. At first, no one knew exactly how to telephone. Alexander Graham Bell wanted people to start conversations by saying, “Ahoy-hoy!” AT&T tried to prevent people from saying “hello,” arguing in Telephone Engineer magazine that it was rude. But eventually, Americans learned to say “hello.” People built a culture around the phone that worked. Etiquette magazines tried to prevent women from inviting people over for dinner via telephone, then gave in. The doctor got a phone, so the pharmacist got a phone. It didn’t happen quickly, but it happened. And once it was done, during my childhood, these social customs sat between me and this raw technical artifact—the handset, the curly cord connecting it to the base, the wires running across the nation, coming together in vast switching stations, amplified, multiplexed, and then branching back out to the other cities, other neighborhoods, other blocks, other houses.
#tech  #mobile  #consumerbehavior  #consequences  #impact 
8 days ago
Managing human resources is about to become easier Economist 20180331
Managing human resources is about to become easier AI is changing the way firms screen, hire and manage their talent Print edition | Special report Mar 31st 2018 HUMAN RESOURCES (HR) is a poorly named department. It usually has few resources other than overworked staff, clunky technology and piles of employee handbooks. Hassled recruiters have to sort through reams of applications that vastly outnumber the jobs available. For example, Johnson & Johnson (J&J), a consumer-goods company, receives 1.2m applications for 25,000 positions every year. AI-enabled systems can scan applications far more quickly than humans and work out whether candidates are a good fit. Oddly enough, they may also inject more humanity into hiring. According to Athena Karp of HiredScore, a startup that uses algorithms to screen candidates for J&J and others, only around 15-20% of applicants typically hold the right qualifications for a job, but they are rarely told why they were not hired, nor are they pointed to more suitable jobs. Technology is helping “give respect back to candidates”, she says.
#ai  #applications  #hr  #hiring  #casestudies  #startups 
9 days ago
Customer service could start living up to its name Economist 20180331
Customer service could start living up to its name How AI can make businesses look more caring Print edition | Special report Mar 31st 2018 “YOUR CALL IS important to us,” a recorded voice tells resigned customers as they wait endlessly to speak to a human agent. AI is starting to help companies improve the quality and consistency of their service in order to persuade customers that they do in fact care about them. Ocado, a British online grocer, receives around 10,000 e-mails from customers every day and uses AI to detect the prevailing sentiment in them. It now replies to the most urgent ones first, and is planning to route complaints to agents with expertise in the relevant field. “Like other applications of AI, it’s about trying to make humans more efficient, not take them out of the process entirely,” says Paul Clarke, Ocado’s chief technology officer. Between 2017 and 2021 the share of customer-service interactions worldwide handled entirely by AI will rise fivefold, to 15%, and by 2019 at least 40% of such interactions will involve an element of AI, according to Gartner, a research firm.
#ai  #applications  #customerservice  #contactcenter  #casestudies 
9 days ago
How AI is spreading throughout the supply chain Economist 20180331
How AI is spreading throughout the supply chain AI is making companies swifter, cleverer and leaner Print edition | Special report Mar 31st 2018 DELIVERING 25 PACKAGES by lorry or van might seem straightforward enough, but it is devilishly complex. The number of possible routes adds up to around 15 septillion (trillion trillion), according to Goldman Sachs, an investment bank. Integrating AI into the complex web of production and distribution—the supply chain—will have a bigger economic impact than any other application of the technology and affect a larger number of businesses, says Sudhir Jha of Infosys, a large IT company. McKinsey estimates that firms will derive between $1.3trn and $2trn a year in economic value from using AI in supply chains and manufacturing (see chart). Many firms are already using robots powered by machine learning to improve the running of their factories and warehouses. But AI will transform several other aspects of supply chains as well.
#ai  #applications  #casestudies  #supplychain 
9 days ago
Rise Of The AI-Doc: Insurer Prudential Taps Babylon Health In $100 Million Software Licensing Deal 20180802
Rise Of The AI-Doc: Insurer Prudential Taps Babylon Health In $100 Million Software Licensing Deal Parmy Olson Forbes Staff AI, robotics and the digital transformation of European business. Babylon Health founder and CEO Ali ParsaPHOTO VIA BABYLON HEALTH Prudential Asia, a business unit of British insurer Prudential plc., has signed a licensing deal with digital health startup Babylon Health to exclusively use its AI-powered software for its own apps across 12 countries in Asia. Prudential is paying approximately $100 million over the course of several years, according to sources close to the deal, to access proprietary software that includes an inference engine, simulation software and a medical-knowledge graph that over time aims to replicate and automate consultations with human doctors. Spokespeople for Babylon and Prudential Asia declined to comment on the deal pricing. Babylon Health is best known for providing a virtual-doctor service in the U.K., where more than 26,000 NHS patients in London can get appointments with doctors via video calls and thousands more use its private service for $80 a year. Babylon won’t provide remote doctors to Prudential; it’ll instead provide the software that powers the medical chatbot on its app. Its customers in the U.K. can consult its chatbot before requesting a video chat with a human GP. The bot is aimed at both reassuring customers so that they don’t need to see a human doctor (which costs Babylon more) and arming customers with better information about their ailment before they do speak to a doctor.
#hc  #ai  #diagnosis  #telehealth  #cognitivecomputing  #Babylon  #Prudential 
11 days ago
Developing digital biomarkers An interview with Evidation's Co-founder 20180805
Developing digital biomarkers: An interview with Evidation’s Co-founder and Chief Data Scientist, Luca Foschini, Ph.D. Written by Danielle McGuinness Marketing The original question posed in our 2016 digital biomarkers report asked whether digital biomarkers—consumer-generated physiological and behavioral measures collected through connected digital tools—would provide additional value beyond traditional biomarkers in helping to understand health and disease. Today, it seems clear the answer is a resounding “yes”—but just how much progress have we made, and how exactly do we construct these digital biomarkers from the data science perspective? Rock Health portfolio company Evidation Health is a new kind of health and measurement company that provides technology and guidance to understand how everyday behavior and health interact and measure how behaviors outside the doctor’s office or hospital impact health outcomes. Evidation’s Chief Data Scientist, Luca Foschini, sat down with us to provide insight into the current state of digital biomarkers and how their team leverages both deep data science expertise and healthcare knowledge. (PS—they’re hiring!) How would you characterize the progress we’ve seen in the digital biomarker space? We’ve seen significant growth in the research focused on digital biomarkers, but the vast majority of digital biomarkers have yet to find practical applications. Much of the initial work in this area was started by researchers in computer science and electrical engineering rather than those in medicine. As a result, the technical aspects of the research are strong, but the experimental design can still be improved for clinical use cases.
#hc  #digital  #sensors  #data  #wearables  #PGHD 
11 days ago
Susan Morse (@susanjmorse) | Twitter
Susan Morse @susanjmorse Senior Editor of @HC_Finance. I write about all things finance for providers and payers, health policy geek.… Joined January 2015
#hc  #journalist  #newsource  #healthtech  #payers  #providers  #it  #tech 
11 days ago
Bradford Cross (@bradfordcross) | Twitter
bradford cross @bradfordcross vertical AI startups in finance, biotech/healthcare, sustainability/energy. CEO @merlontweets is classified San Francisco Joined April 2009
#AI  #ML  #data  #strategy  #value  #impact  #tl  +BradfordCross  #A+  >rr 
11 days ago
Data Matching and Entity Resolution - Links to articles
The fundamental science of data matching | Experian
The art and science of data matching | Experian
Advanced data matching techniques | Experian
equifax entity resolution Google Search why_preventing_fraud_is_a_balancing_act.pdf
Innovation | Equifax Ignite | Ignite Resource
#data  #datamatching  #entityresolution  +Experian  +Equifax 
11 days ago
Non-tech businesses are beginning to use artificial intelligence at scale The Economist 20180331
Non-tech businesses are beginning to use artificial intelligence at scale Artificial intelligence is spreading beyond the technology sector, with big consequences for companies, workers and consumers, says Alexandra Suich Bass
#ai  #A+  #status  #deployment 
11 days ago
Why We Created the First AI-based Behavioral Healthcare System 20171121
Why We Created the First AI-based Behavioral Healthcare System Our modern lifestyle is a great strain on our emotional well-being. Technology has made it easier to connect to many people at once, but harder to connect in meaningful ways. The former US Surgeon General Vivek Murthy, recently spoke about the loneliness epidemic in our society. In his manifesto, he challenges us to take action and invest in the emotional strength of our communities. Emotional and mental health have a trillion dollar impact on our society. And there are many faces of emotional health — for most people, symptoms are related to common life events — navigating a breakup, losing a family member, shouldering the stresses of work, having a newborn or dealing with a chronic condition. Yet, we often don’t prioritize our emotional health and in many cases dismiss its importance. But it’s important to talk about it. Behavioral health is perhaps the last bastion of poor user experience in our lives. The traditional, fee-for-service model is stigmatizing and getting help is intimidating for most people. Tracking outcomes is not a priority, the industry is slow-moving and resistant to change, and collaborative, team-based care is rare. The behavioral health system operates on a 9–5 schedule and was designed decades ago.
#hc  #behavioralhealth  #ai  #startup  #casestudy  #A+ 
11 days ago
Capturing value from your customer data McKinsey 201703
Capturing value from your customer data By Brad Brown, Kumar Kanagasabai, Prashant Pant, and Gonçalo Serpa Pinto Article Actions Share this article on LinkedIn Share this article on Twitter Share this article on Facebook Email this article Print this article Download this article Companies can put their information to work by teasing out novel patterns, driving productivity, and creating new solutions. In an increasingly customer-centric world, the ability to capture and use customer insights to shape products, solutions, and the buying experience as a whole is critically important. Research tells us that organizations that leverage customer behavioral insights outperform peers by 85 percent in sales growth and more than 25 percent in gross margin.1 Customer data must be seen as strategic. Yet most companies are using only a fraction of the data in their possession. Sprawling legacy systems, siloed databases, and sporadic automation are common obstacles. Models and dashboards may be forced to rely on stale data, and core processes may require considerable manual intervention. Often, too, organizations may not have a clear understanding of the specific outcomes they’re looking to achieve through data optimization. All that is leaving significant value on the table.
#data  #customerdata  #strategy  #CX  +Mckinsey 
11 days ago
The Data Disconnect McKinsey 201807
The data disconnect
Companies may have more data than ever, but not everyone is making money with it
#data  #strategy  #analytics  #value  #impact  #deployment  +McKinsey 
11 days ago
Venture Scanner Infographics
Infographics Below you will find a subset of our infographics available for download.
#technology  #analytics  #infographics  #AI  #healthcare  #trends  #competitors  #vendors  #industry 
11 days ago
Mindware: Critical Thinking for the Information Age Coursera course Richard Nisbett
Mindware: Critical Thinking for the Information Age

Most professions these days require more than general intelligence. They require in addition the ability to collect, analyze and think about data. Personal life is enriched when these same skills are applied to problems in everyday life involving judgment and choice. This course presents basic concepts from statistics, probability, scientific methodology, cognitive psychology and cost-benefit theory and shows how they can be applied to everything from picking one product over another to critiquing media accounts of scientific research. Concepts are defined briefly and breezily and then applied to many examples drawn from business, the media and everyday life. What kinds of things will you learn? Why it’s usually a mistake to interview people for a job. Why it’s highly unlikely that, if your first meal in a new restaurant is excellent, you will find the next meal to be as good. Why economists regularly walk out of movies and leave restaurant food uneaten. Why getting your picture on the cover of Sports Illustrated usually means your next season is going to be a disappointment. Why you might not have a disease even though you’ve tested positive for it. Why you’re never going to know how coffee affects you unless you conduct an experiment in which you flip a coin to determine whether you will have coffee on a given day. Why it might be a mistake to use an office in a building you own as opposed to having your office in someone else’s building. Why you should never keep a stock that’s going down in hopes that it will go back up and prevent you from losing any of your initial investment. Why it is that a great deal of health information presented in the media is misinformation.
#cognitive  #thinking  #decisionmaking  #biases  +Coursera  #course  #UM 
11 days ago
Cognitive Biases and the Human Brain The Atlantic 201809
The Cognitive Biases Tricking Your Brain Science suggests we’re hardwired to delude ourselves. Can we do anything about it? Concept by Delcan & Co; photograph by The Voorhes BEN YAGODA SEPTEMBER 2018 ISSUE SCIENCE Share Tweet … LinkedIn Email Print TEXT SIZE Like ​The Atlantic? Subscribe to ​The Atlantic Daily​, our free weekday email newsletter. Email SIGN UP I am staring at a photograph of myself that shows me 20 years older than I am now. I have not stepped into the twilight zone. Rather, I am trying to rid myself of some measure of my present bias, which is the tendency people have, when considering a trade-off between two future moments, to more heavily weight the one closer to the present. A great many academic studies have shown this bias—also known as hyperbolic discounting—to be robust and persistent. To hear more feature stories, see our full list or get the Audm iPhone app. Most of them have focused on money. When asked whether they would prefer to have, say, $150 today or $180 in one month, people tend to choose the $150. Giving up a 20 percent return on investment is a bad move—which is easy to recognize when the question is thrust away from the present. Asked whether they would take $150 a year from now or $180 in 13 months, people are overwhelmingly willing to wait an extra month for the extra $30.
#behavioraleconomics  #cognitive  #biases 
11 days ago
The Problem With AI Pilots Tom Davenport Randy Bean 20180726
The Problem With AI Pilots Big Idea: Artificial Intelligence and Business StrategyBlog July 26, 2018 Reading Time: 4 min  Thomas H. Davenport and Randy Bean Leadership, Digital, Data & Analytics, Digital Business SUBSCRIBE SHARE Share on Twitter Share on Facebook Share on LinkedIn Share through Email AI technology is not just an experiment. advertisement Over the past year or so we’ve been engaged in an effort to tell the story of how large organizations are deploying artificial intelligence in their businesses. We were encouraged by the response to the 2018 NewVantage Partners executive survey, in which 93% of respondents said their organizations were investing in AI initiatives. Plenty of companies to write about, we thought. These were very large organizations spending goodly sums on AI and with a history of early adoption of other technologies. But when we approached many of these companies to discuss writing some case studies about their work, most of them demurred. Most said the reason wasn’t that they wanted to keep their AI activities secret, but that they weren’t actually very far along and hence their projects were not worth discussing yet. They were doing lots of pilots, proofs of concept, and prototypes, but they had few production deployments. When they did have AI systems in production, most were machine learning-based systems that had been in place for many years. This is particularly true in financial services, where large-scale “scoring” has been used to evaluate customers for credit and potential fraud for well over a decade. Some said to us that they didn’t really consider these projects to be examples of AI — consistent with the common view of AI that it describes technology that is never really here yet. Others say that they have robotic process automation (RPA) implementations in place, but most are relatively small, and there is also debate about whether RPA is really AI or not.
#ai  #pilots  #deployment  #enterprise  #advice  #bestpractices 
11 days ago
RT : If I could distill one of the most critical differentiator a startup that succeeds against the masses that do not,…
from twitter_favs
12 days ago
“Only a small fraction (2%) of smart speaker owners use them to shop, and the few who do try it don’t bother again.…
from twitter
12 days ago
Machine learning infographic | Royal Society
Can machines really learn? Machine learning is used in a range of everyday situations. But do you know where? Does this involve machine learning?
#ml  #explainer  #infographic  #A+  #interactive  #video 
12 days ago
The Politics of AI Video Kate Crawford 20180723
he Politics of AI 2,535 views 55 6 SHARE The Royal Society Published on Jul 23, 2018 SUBSCRIBE 36K Kate Crawford, Distinguished Research Professor at New York University, a Principal Researcher at Microsoft Research New York, and the co-founder and co-director the AI Now Institute, discusses the biases built into machine learning, and what that means for the social implications of AI. The talk is the fourth event in the Royal Society’s 2018 series: You and AI
#ai  #social  #impact  #bias  +KateCrawford  #video 
12 days ago
Kate Crawford (@katecrawford) | Twitter
Kate CrawfordVerified account @katecrawford Researching the social implications of AI. Co-founder @AINowInstitute at NYU | Principal Researcher MSR-NYC | Distinguished Research Professor NYU | New York City Joined February 2009
#ai  #ml  #critique  #bias  #academic  #tl  #sme 
12 days ago
Rise Of The AI-Doc: Insurer Prudential Taps Babylon Health In $100 Million Software Licensing Deal 20180802
Rise Of The AI-Doc: Insurer Prudential Taps Babylon Health In $100 Million Software Licensing Deal Parmy Olson Forbes Staff Babylon Health founder and CEO Ali ParsaPHOTO VIA BABYLON HEALTH Prudential Asia, a business unit of British insurer Prudential plc., has signed a licensing deal with digital health startup Babylon Health to exclusively use its AI-powered software for its own apps across 12 countries in Asia. Prudential is paying approximately $100 million over the course of several years, according to sources close to the deal, to access proprietary software that includes an inference engine, simulation software and a medical-knowledge graph that over time aims to replicate and automate consultations with human doctors. Spokespeople for Babylon and Prudential Asia declined to comment on the deal pricing. Babylon Health is best known for providing a virtual-doctor service in the U.K., where more than 26,000 NHS patients in London can get appointments with doctors via video calls and thousands more use its private service for $80 a year. Babylon won’t provide remote doctors to Prudential; it’ll instead provide the software that powers the medical chatbot on its app. Its customers in the U.K. can consult its chatbot before requesting a video chat with a human GP. The bot is aimed at both reassuring customers so that they don’t need to see a human doctor (which costs Babylon more) and arming customers with better information about their ailment before they do speak to a doctor.
#hc  #ai  #startup  #payer  #application  #diagnosis  +BabylonHealth  +Prudential 
12 days ago
How John Chambers Looks at Deals The Information 20180405
How John Chambers Looks at Deals By Serena Saitto Apr 05, 2018 7:01 AM PDT · Comments by Michele Clarke, Raghu Gullapalli and 4 others Share full article When John Chambers ran Cisco Systems, acquisitions were one of his favorite ways to grow the company. By his own estimate, Cisco did 180 deals in his time there. But as he said in an interview with The Information this week, Cisco executives expected that one third would not succeed.  It was a surprising admission for a former CEO, given how frequently investors complain about overpriced or badly executed mergers across industries. Mr. Chambers, though, believes that kind of failure rate is nothing to be ashamed of. Acquisitions are a “portfolio play like venture capital,” he said. To be successful, he said, acquisitive companies have to know how to take risk and accept outsiders into their ranks. Cisco’s notable misses included buying Scientific Atlanta for $6.9 billion in 2005 and selling the business for $600 million in 2015, and its $600 million purchase of video camera maker Flip in 2009. It shut down Flip two years later.
#VC  #investing  #corporate  #M&A  #strategy  #risk  #innovation 
12 days ago
Google’s Controversial Voice Assistant Could Talk Its Way Into Call Centers The Information 20180705
Google’s Controversial Voice Assistant Could Talk Its Way Into Call Centers By Sarah Kuranda Jul 05, 2018 7:02 AM PDT · Comments by Dan Goldin, Bret Kinsella and 1 other Share full article At a developer conference in May, Google CEO Sundar Pichai demonstrated how a cutting-edge, computer-generated voice assistant called Duplex could call up a restaurant or hair salon and make an appointment without the person on the other end ever realizing they were talking with a robot. The technology was as controversial as it was impressive, drawing sharp criticism from people concerned about its ethical implications. What Mr. Pichai didn’t mention is that the technology could be more than just a nifty trick to help users save a bit of time on reservations. Some big companies are in the very early stages of testing Google’s technology for use in other applications, such as call centers, where it might be able to replace some of the work currently done by humans, according to a person familiar with the plans.
#voice  #digitalassistant  #callcenter  #enterprise  +Google 
12 days ago
Cheddar (@cheddar) | Twitter
CheddarVerified account @cheddar Cheddar covers the latest in business and tech news. Live from the NYSE weekdays from 9am - 5pm EST. ªª ºº New York, NY View broadcasts Joined February 2016
#tech  #news  #videos 
12 days ago
Cheddar YouTube channel
Cheddar! We are a network focused on covering the most interesting topics through the lens of innovation in products, technologies, businesses, services, and ideas that impact us. Cheddar Explains: Every day there are new questions about technology, businesses, and medical advancements. No matter the question, Cheddar explains it all. Cheddar Explores: Unprecedented technological advancement, dreams of interstellar colonization, bioengineering. Explore the future of our world and our economies through the lens of innovation, disruption, and futurism. Cheddar Examines: Business is a battlefield. Every company has make-or-break moments that lead to massive success or crushing defeat. These are those stories. Subscribe for original videos every week.
#tech  #videos  #cases 
12 days ago
The Reality Behind Voice Shopping Hype The Information 20180806
The Reality Behind Voice Shopping Hype By Priya Anand Aug 06, 2018 10:01 AM PDT · Comment by Fazal Majid x Bookmark for later Share full article Amazon and Google both tout voice shopping—the ability to make purchases and check on the status of orders with verbal commands—as significant features of their smart speakers. Some forecasts call for annual voice shopping sales to reach $40 billion in just a few years. But it appears that only a small fraction of smart speaker owners use them to shop, and the few who do try it don’t bother again. The Information has learned that only about 2% of the people with devices that use Amazon’s Alexa intelligent assistant—mostly Amazon’s own Echo line of speakers—have made a purchase with their voices so far in 2018, according to two people briefed on the company’s internal figures. Amazon has sold about 50 million Alexa devices, the people said.
#speech  #shopping  +Alexa  #conversationalcommerce  #stats 
12 days ago
Inside Amazon’s $3.5 million competition to make Alexa chat like a human The Verge 20180613
INSIDE AMAZON’S $3.5 MILLION COMPETITION TO MAKE ALEXA CHAT LIKE A HUMAN By James Vincent@jjvincent Jun 13, 2018, 9:17am EDT Illustrations by Alex Castro SHARE Onstage at the launch of Amazon’s Alexa Prize, a multimillion-dollar competition to build AI that can chat like a human, the winners of last year’s challenge delivered a friendly warning to 2018’s hopefuls: your bot will mess up, it will say something offensive, and it will be taken offline. Elizabeth Clark, a member of last year’s champion Sounding Board team from the University of Washington, was onstage with her fellow researchers to share what they’d learned from their experience. What stuck out, she said, were the bloopers. “One thing that came up a lot around the holidays was that a lot of people wanted to talk to our bot about Santa,” said Clark. “Unfortunately, the content we had about Santa Claus looked like this: ‘You know what I realized the other day? Santa Claus is the most elaborate lie ever told.’” The bot chose this line because it had been taught using jokes from Reddit, explained Clark, and while it might be diverting for adults, “as you can imagine, a lot of people who want to talk about Santa Claus … are children.” And telling someone’s curious three-year-old that Santa is a lie, right before Christmas? That’s a conversational faux pas, even if you are just a dumb AI. TEACHING A MACHINE HOW TO HAVE A REAL CONVERSATION IS ONE OF AI’S HARDEST CHALLENGES This sort of misstep perfectly encapsulates the challenges of the Alexa Prize, a competition that will help shape the future of voice-based computing for years to come. On the face of it, Amazon isn’t asking much: just create a chatbot using Alexa that can talk to a human for 20 minutes without messing up, and you get a $1.5 million prize (with $2 million in other grants and prizes). But as Clark’s anecdote illustrates, this is still beyond the capabilities of current technology. There’s just so much that computers don’t know about the world, and there’s no easy way for us to teach them. “Don’t ruin Christmas for small children” isn’t a lesson that translates easily into code. That’s why Rohit Prasad, chief scientist for machine learning at Alexa, compares the prize to the DARPA Grand Challenge, a series of competitions that was held by the US military agency to build self-driving cars in the mid-2000s. Early entrants failed to even finish the course, but the million-dollar rewards on offer galvanized research. Prasad says he hopes the Alexa Prize will have a similar effect on conversational AI.
#chatbots  #digitalassistant  +Amazon  +Alexa  #openinnovation  #disruptive  #innovation 
12 days ago
“By organizing the Prize, Amazon gets some of the smartest minds in queueing up to build technology on i…
Alexa  AI  from twitter
12 days ago
Amazon and Walmart’s rivalry is reshaping how we’ll buy everything in the future The Verge 30280803
Amazon and Walmart’s rivalry is reshaping how we’ll buy everything in the future 22 The retail war is expanding to cloud computing, grocery delivery, and streaming video By Nick Statt@nickstatt Aug 3, 2018, 12:45pm EDT SHARE Illustration by Alex Castro / The Verge Walmart’s ongoing battle with Amazon for the retail crown is expanding well beyond retail, and it’s forcing one of the largest companies in the world to reexamine its DNA. In the last six months alone, Walmart has partnered with scores of tech firms to better compete with Amazon and make progress in markets that may become pivotal years down the line. It’s also begun rethinking how it views itself: a traditional big-box retail giant that now hopes it can be nimble enough to compete with one of technology’s most powerful players. Following its purchase of to advance its e-commerce efforts in 2016, Walmart has starting accelerating its shift from retail giant to tech-focused partner. Those deals now include a partnership with Alphabet’s Waymo for rides to and from stores; Japan’s Rakuten for Kobo e-readers; and Uber, Lyft, and Postmates for grocery delivery.
#ecommerce  #retail  #Amazon  #Walmart  #disruption  #innovation  #competition 
12 days ago
“Amazon created a new paradigm for online that rethought ideas of convenience and cost that were prescient…
retail  from twitter
12 days ago
Achieving business impact with data Summary McKinsey 201804
Achieving business impact with data By Holger Hürtgen and Niko Mohr Full Report (PDF–2MB) Article Actions Share this article on LinkedIn Share this article on Twitter Share this article on Facebook Email this article Print this article The best analytics are worth nothing with bad data. The importance of understanding and working on all components of the insights value chain is mission critical. An anticipated drop in the cost of Internet of Things (IoT) nodes (for example, microcontroller units and sensors) is fueling the rise in available data. Advances in machine learning, data science, and computing power can turn these vast amounts of data into value-creating insights. Our new report, Achieving business impact with data, looks into these issues deeply; this article highlights some of the report’s key points.
#data  #analytics  #impact  #value  +McKinsey 
13 days ago
Building a great data platform in energy and materials McKinsey 201808
Building a great data platform By Adrian Booth, Rita Chung, Jeff Hart, and Stuart Sim Article Actions Share this article on LinkedIn Share this article on Twitter Share this article on Facebook Email this article Print this article Download this article Five insights into building a great data platform can help energy, chemical, utility, and basic-materials companies get it right. For any sizeable company, a state-of-the-art data and analytics platform is no longer an option but a necessity. Such a platform acts as a central repository for all data, distills them into a single source of truth, and supports the scaling up of sophisticated digital- and advanced-analytics programs that translate data into business value (exhibit). Companies without one risk leaving serious value on the table. For a utility, for instance, a data and analytics platform can cut costs by up to 15 percent in some operational and maintenance areas, while savings in oil and gas companies’ upstream activities can run even higher, at up to 20 percent.
#analytics  #data  #platform  #strategy  #impact  #value  #advice  +McKinsey 
13 days ago
Fueling utility innovation through analytics McKinsey 201804
Fueling utility innovation through analytics By Marcus Braun, Eelco de Jong, Alfonso Encinas, and Tim Kniker Article Actions Share this article on LinkedIn Share this article on Twitter Share this article on Facebook Email this article Print this article Download this article Utilities around the world are making big investments in advanced analytics. Getting the full value, however, requires rethinking their strategy, culture, and organization. Advanced analytics can deliver enormous value for utilities and drive organizations to new frontiers of efficiency— but only with the right approach. There’s little to be gained from just bolting on a software solution. The real value comes from embedding data analytics as a core capability in the organization and using it to detect pain points, design solutions, and enable decision making. Conservative estimates supported by rigorous use-case analysis suggest that advanced analytics can boost profitability by 5 to 10 percent, while increasing satisfaction for customers and improving health and safety for employees. But capturing impact on this scale is no easy feat, and utilities often struggle with the same few challenges, which undermines the success of an analytics transformation. Below, we look at these challenges and show how they can be overcome.
#analytics  #innovation  #strategy  +McKinsey  #A+ 
13 days ago
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