The Gartner Top 10 Strategic Technology Trends for 2018 Webinar Gartner 201710
The Gartner Top 10 Strategic Technology Trends for 2018
Watch this free Top Tech Trends webinar on-demand
Discussion Topics:
How Artificial Intelligence (AI) will impact technology enabled systems
What technology trends will drive the future of digital business and advanced user experiences
How you can ensure safe, efficient and valuable connections across digital business ecosystems

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Strategic technology trends have significant disruptive potential over the next 5 years. You must examine your business impacts and appropriately adjust business models and operations or else your company is at risk of losing competitive advantage to those who do. IT cannot afford to ignore these 2018 top tech trends.
#analytics  #ai  #predictions  #2018  #Gartner 
9 hours ago
Gartner Top 10 Strategic Technology Trends for 2018 20171003
Gartner Top 10 Strategic Technology Trends for 2018
October 3, 2017
Contributor: Kasey Panetta


Artificial intelligence, immersive experiences, digital twins, event-thinking and continuous adaptive security create a foundation for the next generation of digital business models and ecosystems.
How do designers make cars safer? They treat them like a school of fish. Safe Swarm, recently unveiled by Honda, uses vehicle-to-vehicle communication to allow cars to pass information on to other cars in the vicinity. For example, alerts about an accident miles up the road could be relayed to cars miles back, enabling them to operate collaboratively and intelligently to avoid accidents and mitigate traffic.

The evolution of intelligent things, such as collective thinking car swarms, is one of 10 strategic trends with broad industry impact and significant potential for disruption.

“The continuing digital business evolution exploits new digital models to align more closely the physical and digital worlds for employees, partners and customers,” says David Cearley, vice president and Gartner Fellow, at Gartner 2017 Symposium/ITxpo in Orlando, Florida. “Technology will be embedded in everything in the digital business of the future.”
#tech  #predictions  #2018  #Gartner 
10 hours ago
Steve Andriole
Stephen J. Andriole’s career has focused on the development, application and management of information technology and analytical methodology to problems in government and industry:  Dr. Andriole has addressed them from academia, government, his own consulting companies, a global insurance and financial services company, from the perspective of a public venture operating company, a private equity venture capitalist and an Angel investor.  The focus of his career has been on technology innovation, the optimization of technology and technology acquisition, deployment and support best practices.  Digital transformation and the adoption of emerging and disruptive technology is the focus of his current teaching, research and consulting.
#technology  #innovation  #IT  #disruptive  #thoughleader  #academic  #StephenAndriole  #Cutter  #rr  #review 
10 hours ago
Avoiding #FAIL eBook Stephen Andriole et al 2013
Avoiding #FAIL Kindle Edition
by Stephen Andriole (Author),‎ Vincent Schiavone (Author),‎ Erika Von Hoyer (Author),‎ Mark Langsfeld (Author),‎ Mark Harrington (Author)
#brands  #socialmedia  #managing  #book  #order  #StephenAndriole 
10 hours ago
Predictions 2018 The Honeymoon For AI Is Over Forrester 20171109
Predictions 2018: The Honeymoon For AI Is Over
Success At Artificial Intelligence Means Hard Work — Treat It Like A Plug-In Panacea And Fail
November 9, 2017
By Boris Evelson, Michele Goetz, Brian Hopkins with Gene Leganza, Jennifer Belissent, Ph.D., Kjell Carlsson, Cinny Little, Brandon Purcell, Srividya Sridharan, Noel Yuhanna, Elizabeth Hoberman
Why Read This Report

The honeymoon for enterprises naively celebrating the cure-all promises of artificial intelligence (AI) technologies is over. Forrester predicts that 2018 will be the year when a majority of enterprises start dealing with the hard facts: AI and all other new technologies like big data and cloud computing still require hard work. This report offers CIOs working on data and analytics initiatives 10 predictions for 2018 with pragmatic and tangible recommendations they can start acting on now.
#ai  #outlook  #predictions  #advice  #Forrester  #2017 
10 hours ago
2018, The Year of Making an Impact Webinar Slides HfSResearch 20171113
Nov 13, 2017 Phil Fersht Saurabh Gupta

We predicted 2017 would be the year of “Making it Real" - and it turned out to be true as the “digital fog” is starting to lift with enterprises finding their digital path and realizing that there is only OneOffice™ that matters. It was the year when HfS became the voice of the customer and help separate the hype from reality. We explored the experiences, plans, challenges, and opportunities for enterprises in their quest to align their operations to meet the rapidly changing needs of the market.
2018 promises to be the year when we will start to see some real impact. We expect 2018 to be about leveraging the power of all the established and emerging change agents across RPA, AI, Smart Analytics, Blockchain, and IoT in combination with creative talent to drive superior business outcomes. Our research theme for 2018 will be all about “Making an Impact.”
In this webinar, Phil and Saurabh will share our 2018 predictions for the industry and unveil our research agenda for next year. We will cover:
- Key highlights from our 2017 OneOffice research
- Our bold predictions for the future of the Digital Operations Industry in 2018
- Unveil our 1-2-3-4 Research Agenda for 2018
#ai  #digital  #IA  #HfS  #webinar  #slides  #predictions  #2017 
11 hours ago
I am AI Podcasts Nvidia Series 201712
Who are today’s leading AI innovators and how are they reshaping entire industries? This original docuseries explores the world’s greatest artificial intelligence achievements and the people who are making them happen. Check back often for new episodes.
#ai  #applications  #cases  #Nvidia  #rr 
11 hours ago
Where AI Is Headed 13 Artificial Intelligence Predictions for 2018 NVIDIA 20171203
Where Is AI Headed in 2018?
13 predictions by researchers and experts from around the world.

Publications like The Wall Street Journal, Forbes and Fortune have all called 2017 “The Year of AI.” And with good reason.

AI outperformed professional gamers and poker players in new realms. Access to deep learning education expanded through various online programs. The speech recognition accuracy record was broken multiple times, most recently by Microsoft. And research universities and organizations like Oxford, Massachusetts General Hospital and GE’s Avitas Systems invested in deep learning supercomputers.

These are a few of many milestones in 2017. So what’s next?

We’ve gathered predictions from the world’s leading researchers and industry thought leaders.
#ai  #predictions  #outlook  #applications  #2018 
11 hours ago
Driving Value with Data Science WEbinar Tom Dinsmore 20171212
Driving Value with Data Science
About this webinar
This is the age of data science. We have more data, computing power and software packages than ever before, and we’re driving real value with data science. But challenges remain: fragmented and dirty data, collaboration issues, and long project cycle times.

Keys to success: a ‘data-first’ approach, enabling collaboration, and a focus on prediction. Cloudera Data Science delivers the unified platform you need for rapid time to value with the most advanced machine learning techniques, including deep learning.
Recorded Dec 12 2017 46 mins
Presented by
Thomas W. Dinsmore, Director of Product Marketing, Cloudera Data Science
#datascience  #deployment  #execution  #value  #2017 
19 hours ago
General Data Protection Regulation (GDPR) and Data Science Tom Dinsmore 20170713
General Data Protection Regulation (GDPR) and Data Science

July 13, 2017By Thomas DinsmoreNo Comments
Categories: Compliance Data Science
If your organization collects data about citizens of the European Union (EU), you should know about the General Data Protection Regulation (GDPR). GDPR defines and strengthens data protection for consumers and harmonizes data security rules within the EU. The European Parliament approved the measure on April 27, 2016. It goes into effect in less than a year, on May 25, 2018.

Much of the commentary about GDPR focuses on how the new rules affect collection and management of personally identifiable information (PII) about consumers. However, GDPR will also change how organizations practice data science. That is the subject of this blog post.

One caveat before we begin. GDPR is complicated. In some areas, GDPR defines high-level outcomes, but delegates detailed compliance rules to a new entity, the European Data Protection Board. GDPR regulations intersect with many national laws and regulations; organizations that conduct business in the United Kingdom must also assess the unknown impacts of Brexit. The information contained in this document is not intended to be and should not be construed to be legal advice, and we recommend that organizations subject to GDPR engage expert management and legal counsel in developing a compliance plan.  
#data  #privacy  #GDPR  #TomDinsmore 
19 hours ago
Zylotech Customer Analytics Platform
The ZyloTech Customer Analytics Platform (CAP) is an award-winning, AI-powered engine that enables omni-channel marketing operations to increase customer monetization and deliver highly effective, individual-based marketing.

Until now, it’s been impossible to capitalize on all your customer data at the point of action or decision, in near real time. Customer data moves too fast, it's perishable and it’s too varied for current Big Data approache to handle with armies of data engineers and scientist. ZyloTech changes the game.
#martech  #ai  #crm  #omni-channel  #data  #B2B  #vendor  #Zylotech 
19 hours ago
Cool Companies in Cognitive Computing 20171113
Cool Companies in Cognitive Computing
Nov 13, 2017
Joyce Wells

No longer the stuff of science fiction, the business uses for cognitive computing, artificial intelligence, and machine learning today include fields as diverse as medicine, marketing, defense, energy, and agriculture. Enabling these applications is the vast amount of data that companies are collecting from machine sensors, instruments, and websites and the ability to support smarter solutions with faster data processing.

It is also clear that we are still in the early days of cognitive computing and machine learning, and to be sure, there are technical, political, and ethical considerations to be dealt with before this new wave of solutions comes closer to reaching its potential. However, innovative companies do have products and services today to help customers put more data to work.
#analytics  #cognitivecomputing  #list  #vendors  #startups  #exemplars  #2017 
20 hours ago
Hilary Mason (@hmason) | Twitter
Hilary MasonVerified account
VP Research at @Cloudera. Founder at @FastForwardLabs. Data Scientist in Residence at @accel. I data and cheeseburgers.

Joined February 2007
#analytics  #datascience  #expert  #thoughtleader  #HilaryMason  #Cloudera  #FastforwardLabs 
20 hours ago
2017 Deloitte State of Cognitive Survey Report 201711
Bullish on the business value of cognitive
Leaders in cognitive and AI weigh in on what’s working and what’s next

With all the talk about cognitive and artificial intelligence (AI) technologies in business circles today, it's natural to wonder whether these capabilities are having any measurable impact.

So we asked some of the most aggressive adopters of cognitive technologies how they have fared to date, focusing on 250 "cognitive-aware" leaders within "cognitive-active" companies.

Why this group in particular? Not only can early-phase signals from such early adopters provide a view from the front lines of these important developments, but many other executives are simply not yet sufficiently knowledgeable about cognitive technologies. So what did these leaders tell us?
#ai  #cognitivecomputing  #status  #survey  #report  #Deloitte  #TomDavenport  #2017 
20 hours ago
Cognitive Adoption in the Enterprise is Resulting in Economic Benefits; Job Creation Expected Deloitte 20171113
Cognitive Adoption in the Enterprise is Resulting in Economic Benefits; Job Creation Expected
Within the next three years, 69 percent of enterprises anticipate minimal to no job loss and even job gains; 76 percent of executives expect AI and cognitive technologies to transform their organizations during the same period.

New York, November 13, 2017 — Early adopters of artificial intelligence and cognitive technologies report strong opportunities for economic gains and job creation according to a new survey released by Deloitte today. The sentiment of respondents is positive about the current and future role of cognitive technologies in their organizations. In fact, 63 percent already have training programs underway for employees to learn how to develop cognitive technologies or work alongside them.

The report titled, “Bullish on the Business Value of Cognitive: 2017 Deloitte State of Cognitive Survey,” shares key insights from 250 “cognitive aware” U.S. executives and provides a view from the front lines in terms of realized successes, current challenges, and outlook on the future impact it will have on business.
#AI  #cognitive  #enterprise  #survey  #status  #outlook  #Deloitte  #2017 
20 hours ago
Deloitte Business Analytics–Articles and insights | Deloitte US
Deloitte Analytics
Smarter Insights. Stronger Outcomes.
We believe that if you want to achieve stronger business outcomes, you need smarter insights to guide your decision making. That's exactly how we help many of the world's leading businesses—and some that will be—every day.
#analytics  #consulting  #firm  #Deloitte 
21 hours ago
Deloitte Analytics (@DeloitteBA) | Twitter
Deloitte AnalyticsVerified account
Your source of news and information on business analytics from Deloitte LLP.…
Joined September 2010
#analytics  #firm  #thoughtleaders  #Twitter 
21 hours ago
Turning big data into business insights Report TechRepublic 201708
Turning big data into business insights (free PDF)
This ebook, based on the latest ZDNet/TechRepublic special feature, looks at how businesses are using the data they collect to stay competitive, save money, boost profits, and power digital transformation.

From the ebook:

We live in an increasingly data-driven society, in which information is becoming as much of a currency as money. Many consumers use free services from internet giants like Google, Facebook, Amazon, Microsoft, and Apple, for example, and in return allow these corporations to track and monetise their online behaviour.

One of the biggest questions of the day is the openness of such transactions, and the level of control that individuals have over the fate of the personal information they—sometimes unwittingly—divulge to organisations with which they interact online. Recent votes on both sides of the Atlantic have highlighted the capacity for data-savvy organisations to hoover up and profile large amounts of user data—including demographics, consumer behavior, and internet activity—in order to micro-target adverts, news stories, and services in support of particular goals or causes.

Clearly, the data floodgates are now opening for businesses of all sizes and descriptions, bringing myriad opportunities for timely analysis in pursuit of competitive advantage. Although the focus is currently slanted towards customer behaviour, data is available at multiple points in the product or service supply chain and comes in many forms—traditional (structured), ad hoc (unstructured), real time, and IoT--or M2M-generated, to name but a few.

Companies that implement big data analytics successfully can reap rich rewards from cost-saving efficiencies and revenue-generating innovations. This can help businesses achieve a digital transformation, allowing them to maintain competitiveness in the face of any disruptive startups—which are data-driven almost by definition—that spring up in their markets.

However, useful business insights don’t automatically flow from a torrent of heterogeneous information: Actionable data must be identified, organized, and analysed, and the results implemented across relevant parts of the business. That requires planning, budget and the right tools and expertise.
#bigdata  #analytics  #status  #outlook  #execution  #enterprise  #2017 
22 hours ago
2018 Predictions & Priorities IIA Webinar 20171207
The International Institute for Analytics will unveil its annual list of top predictions and priorities on December 7. Each year, IIA shares its perspective on the year ahead in the world of analytics, presenting viewpoints from leading analytics practitioners, executives and thought leaders. This year IIA has gathered feedback from 200 plus analytics executives and our broad network of unbiased analytics experts.

Join IIA Co-Founder Tom Davenport, IIA CAO Bill Franks, and IIA Lead Faculty Bob Morison as they discuss the major trends and pressing priorities analytics professionals should pay attention to in 2018. Don’t miss this compelling hour of insights to learn where to focus your time, attention and resources in the coming year. You may also READ the associated research report.

International Institute for Analytics | BrightTALK

Tom Davenport, IIA Co-Founder and Analytics Thought Leader, Bill Franks, IIA CAO, and Bob Morison, IIA Lead Faculty
Play Dec 7 2017 | 58 mins
The International Institute for Analytics will unveil its annual list of top predictions and priorities on December 7. Each year, IIA shares its perspective on the year ahead in the world of analytics, presenting viewpoints from leading analytics practitioners, executives and thought leaders. This year IIA has gathered feedback from more than 200 analytics executives and our broad network of unbiased analytics experts.

Join IIA Co-Founder Tom Davenport, IIA CAO Bill Franks, and IIA Lead Faculty Bob Morison as they discuss the major trends and pressing priorities analytics professionals should pay attention to in 2018. Don't miss this compelling hour of insights to learn where to focus your time, attention and resources in the coming year.
#analytics  #predictions  #status  #outlook  #2018  #IIA  #webinar 
22 hours ago
Growing Data Driven Decision-Making as a Core Competency IIA Inquiry Response 20171127

I’m involved in a long term project to make data driven decision-making a core business competency and are planning a champion network. We have a federated structure that will give autonomy to the business units, and we’ll also have a center of excellence. What advice can you offer us as we move forward?

Create a robust project plan
Implement an ecosystem of focus groups
Communicate value to the business
#analytics  #maturity  #execution  #IIA  #advice 
22 hours ago
2018 Analytics Predictions and Priorities IIA 201712

Each year, the International Institute for Analytics takes time to focus on the latest analytics trends and the most pressing analytics challenges currently facing organizations.

We gather the basis for our predictions from our day-to-day work supporting and advising analytics leaders and programs. Our insights arise from the breadth of expertise and cross-industry perspectives we receive every day from our clients, partners, and members of the IIA expert network.

This is our 8th annual look forward into the upcoming year. The annual Predictions and Priorities research brief and the associated webinar are among IIA’s most popular content of the year. For the last several years, we have augmented our predictions by also providing some specific priorities for leaders as they navigate the many aspects of elevating analytics capabilities in their enterprises. This year, each priority provides specific guidance as to how to best prepare for, and adapt to, its corresponding prediction.
#analytics  #predictions  #2018  #IIA 
22 hours ago
Bill Franks (@billfranksga) | Twitter
Bill Franks
Analytics & big data focused speaker, blogger, consultant, and author
Joined February 2011
#analytics  #thoughtleader  #IIA  #BillFranks 
22 hours ago
Bob Morison (@rfmorison) | Twitter
Bob Morison
Business research, intellectual capital development, writing, speaking, management consulting. Co-author Analytics at Work.
Joined June 2009
#analytics  #thoughtleader  #IIA  #BobMorrison 
22 hours ago
Randy Bean (@RandyBeanNVP) | Twitter
Randy Bean
Thought Leader | Author | CEO/Founder: NewVantage Partners. Contributor: Forbes | MIT Sloan Review | Harvard Business Review | WSJ #BigData #AI #Innovation

Boston | NY | SF | Austin
Joined April 2014
#analytics  #thoughtleader  #RandyBean  #NVP 
22 hours ago
How Big Data Is Empowering AI and Machine Learning at Scale Randy Bean 20170508
How Big Data Is Empowering AI and Machine Learning at Scale Randy Bean 20170508
#bigdata #ai #impact #outlook #RandyBean #2017
Big Idea: Competing With Data & AnalyticsBlog May 08, 2017 Reading Time: 6 min 
Randy Bean
Digital, Data & Analytics, Big Data, Digital Business
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Big Data is powerful on its own. So is artificial intelligence. What happens when the two are merged?

Big data is moving to a new stage of maturity — one that promises even greater business impact and industry disruption over the course of the coming decade. As big data initiatives mature, organizations are now combining the agility of big data processes with the scale of artificial intelligence (AI) capabilities to accelerate the delivery of business value.
#bigdata  #ai  #impact  #outlook  #RandyBean  #2017 
22 hours ago
Setting The Table For Data Science and AI At Bank Of Montreal Tom Davenport 20171208
Setting The Table For Data Science And AI At Bank Of Montreal

Setting The Table For Data Science And AI At Bank Of Montreal
Tom Davenport Contributor Opinions expressed by Forbes Contributors are their own.

Bank of Montreal
Bank of Montreal
Many firms today are introducing cognitive technologies to their organizations somewhat slowly. It’s not that they don’t believe the technologies are important, but rather that they have other, more pressing priorities, or that they need to prepare their environments for effective AI implementation. The Bank of Montreal is one organization that is moving steadily toward this objective.

BMO Financial Group, widely known as BMO, is based in Toronto and is one of the “big five” Canadian banks, as well as one of the ten largest in North America. It has a sizable presence in the U.S., having acquired Harris Bank, Marshall & Ilsley, and the transportation finance operations of GE Capital.
#ai  #casestudy  #banking  #TomDavenport 
23 hours ago
Tom Davenport (@tdav) | Twitter
Tom Davenport
Analytics person, Red Sox fan, academic who gets out into the world as much as possible

Cambridge, Sarasota, Falmouth
Joined January 2008
#analytics  #thoughtleader  #IIA 
23 hours ago
Jim Simons, the Numbers King 20171218
Jim Simons, the Numbers King
Algorithms made him a Wall Street billionaire. His new research center helps scientists mine data for the common good.

By D. T. Max
#AI  #algorithms  #researchinstitute  #research  #innovation 
23 hours ago
Don’t Confuse Digital With Digitization Jeanne Ross 20170929
Don’t Confuse Digital With Digitization 20170929
#gobackto #digital #strategy #execution #MIT #JeanneRoss
Jeanne Ross September 29, 2017 Reading Time: 6 min 
Leadership, Digital, Leading Change, Digital Business, Business Models, Developing Strategy
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Digitization involves standardizing business processes and is associated with cost cutting and operational excellence. In essence, it imposes discipline on business processes that, over the years, were executed by individual heroes in a variety of creative (but not always optimal) ways. SAP, PeopleSoft, and other integrated software packages that burst onto the scene in the 1990s helped lead the way into more digitizing, but it remains a painful process.

Today, companies are confronting something new and different: digital. Digital, of course, is an adjective. It refers to a host of powerful, accessible, and potentially game-changing technologies like social, mobile, cloud, analytics, internet of things, cognitive computing, and biometrics. It also refers to the transformation that companies must undergo to take advantage of the opportunities these technologies create. A digital transformation involves rethinking the company’s value proposition, not just its operations. A digital company innovates to deliver enhanced products, services, and customer engagement. Digital is exciting, thrilling — and a bit unnerving!

The problem is this: We have found that many business leaders are thinking of digital as advanced digitization, such as enhancing the customer experience with mobile technologies or implementing internet of things capabilities to improve operations. But “becoming digital” is a totally different exercise from digitizing. Companies today must become digital to compete in a world in which both end consumers and business customers expect products and services to meet their needs on demand across channels. In most industries, digital is already a business imperative. Digitization is an important enabler of digital, but all the digitization in the world won’t, on its own, make a business a digital company. I would argue, in fact, that failing to distinguish increased digitization (even radically increased digitization) from a digital transformation could be a fatal mistake.
#gobackto  #digital  #strategy  #execution  #MIT  #JeanneRoss 
23 hours ago
MIT CISR (@MIT_CISR) | Twitter
MIT Center for Information Systems Research (CISR), a research center at the MIT Sloan School of Management. Tweets managed by Cheryl Miller

Cambridge, MA USA
Joined May 2010
#technology  #IT  #MIT  #CISR  #researchinstitute 
23 hours ago
The Fundamental Flaw in AI Implementation Jeanne Ross 20170714
The Fundamental Flaw in AI Implementation Jeanne Ross 20170714
#ai #execution #challenges #talent
Jeanne Ross July 14, 2017 Reading Time: 5 min 
Magazine: Winter 2018 Issue
Frontiers, Leadership, Digital, Data & Analytics, Talent Management, Analytics & Strategy, Technology Implementation, Digital Business
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Many executives are enthusiastic about the business potential of machine learning applications. But business leaders often overlook a key issue: To fully unlock the benefits of artificial intelligence, you’ll need to upgrade your people’s skills — and build an empowered, AI-savvy workforce.

This article is part of an MIT SMR initiative exploring how technology is reshaping the practice of management.

There is no question that artificial intelligence (AI) is presenting huge opportunities for companies to automate business processes. However, as you prepare to insert machine learning applications into your business processes, I recommend that you not fantasize about how a computer that can win at Go or poker can surely help you win in the marketplace. A better reference point will be your experience implementing your enterprise resource planning (ERP) system or another enterprise system. Yes, effective ERP implementations enhanced the competitiveness of many companies, but many other companies found the experience more of a nightmare. The promised opportunity never came to fruition.
#ai  #execution  #challenges  #talent 
23 hours ago
Privacy Watchdog Ensures Consumers Have Ad Choices as They Switch from Laptop to Mobile and Back 20171211
Privacy Watchdog Ensures Consumers Have Ad Choices as They Switch from Laptop to Mobile and Back 20171211

BBB enforces self-regulation in new world of cross-device advertising

Arlington, VA – December 11, 2017 – The typical consumer owns at least three devices—a personal laptop, cell phone, tablet, and often an office compu
#advertising #privacy #regulation #cross-deviceter. We all switch seamlessly among these devices throughout the day. And advertisers follow us on this daily device journey with ads reflecting our online habits (interest-based ads or IBA) on any and all of these devices. So if we were browsing for that vacation in Hawaii on our mobile phone, we aren’t surprised when—aloha—a couple of travel bargains pop up on the laptop we are now using. Today, self-regulatory enforcement moves to this new space as the Online Interest-Based Advertising Accountability Program (Accountability Program) issues its first decisionrequiring IBA in the cross-device world to be transparent to consumers and give them the opportunity to control this advertising.
#advertising  #privacy  #regulation  #cross-device 
Privacy Watchdog Ensures Consumers Have Ad Choices as They Switch from Laptop to Mobile and Back 20171211
Privacy Watchdog Ensures Consumers Have Ad Choices as They Switch from Laptop to Mobile and Back
BBB enforces self-regulation in new world of cross-device advertising
Arlington, VA – December 11, 2017 – The typical consumer owns at least three devices—a personal laptop, cell phone, tablet, and often an office computer. We all switch seamlessly among these devices throughout the day. And advertisers follow us on this daily device journey with ads reflecting our online habits (interest-based ads or IBA) on any and all of these devices. So if we were browsing for that vacation in Hawaii on our mobile phone, we aren’t surprised when—aloha—a couple of travel bargains pop up on the laptop we are now using. Today, self-regulatory enforcement moves to this new space as the Online Interest-Based Advertising Accountability Program (Accountability Program) issues its first decision requiring IBA in the cross-device world to be transparent to consumers and give them the opportunity to control this advertising.
#advertising  #privacy  #regulation 
Website Personalization Clearbit 20170713
Website Personalization
A primer on B2B website personalization that reveals the tools, data, and workflows used at Optimizely, Citrix, and BMI Research.
#pesonalization  #website  #cases  #B2B 
Caveat emptor unreliable & unresponsive Purchased 2 as Xmas gifts 3 weeks ago, unable to activate I've n…
from twitter
2 days ago
Put Your Trust in Hyper-Relevance Accenture 20171212
Companies’ efforts to personalize customer experiences (CX) are based largely on an understanding of routine behaviors and fixed attributes, such as age or address.

Leaders are recognizing that personalization’s value is limited, some US business leaders  are now focusing on delivering hyper-relevant CX, based on a deep understanding of the context in which consumers make purchasing decision. The value of investments in hyper-relevance grows over time because companies keep pace with consumers’ “non-constants” and changing circumstances.

Hyper-relevance requires two things: More personalized data about customers and the trust of customers. Leaders show how others can secure both.
#personalization  #consumers  #trust  #privacy  #advice  #survey  #stats  #report  #Accenture 
2 days ago
Data literacy in high demand academia responds 20170601
Data literacy in high demand academia responds 20170601
#data #fluency #university #education #MBA

Data literacy is at the heart of new computing programs at two of the country's premier private research universities. The Data Mill reports.

A new degree program at Carnegie Mellon University and an online data science training course at MIT are focused on arming those in the workforce with new skills.

MIT's Data Science: Data to Insights is a six-week course for those interested in stretching their statistical or data science muscles.

Devavrat Shah, co-director of the online course and one of 10 instructors, described as the crux of modern applications.

"Recommendations show up in many forms," said Shah, director of MIT's Statistics and Data Science Center and a faculty member at the MIT IDSS. "It's not just about Amazon and products or Netflix and movies."

He called recommendation systems "a new class of statistical problems" -- a bridge beyond regression and hypothesis testing.

Data literacy in high demand; academia responds

(n.d.). Data literacy in high demand; academia responds. Retrieved from
#data  #fluency  #university  #education  #MBA 
2 days ago
Airbnb capitalizes on nearly decade-long push to democratize data 20171211
#Airbnb #data #datascience #fluency #impact #productivity

"Organizations do really need to expand access to a broader range of employees, [because] data is the asset that can separate the winners from the losers," said Lori Sherer, a partner in Bain & Company Inc.'s San Francisco office and the leader of its advanced analytics and digital practices.

Most organizations aren't advanced in their ability to use data, estimating that analytics professionals still spend about 30% of their time fielding data analytics requests from management.
#analytics #capability #status #impact #bestpractices

Companies that are top in data use make decisions twice as fast -- a critical competitive advantage.
#capability #analytics #impact

"We characterize data as the voice of our users at scale, so data becomes a way of understanding our user," he explained.
Jeff Fengproduct manager, Airbnb
#data #fluency #quote

Data University, started in November 2016 by Feng and Airbnb senior data scientist Erin Coffman, is designed to provide data literacy from the elementary level (100) on up through more advanced 300-level lessons designed for heavy data users. The in-office program runs classes for employees, with each in-person class running one to two hours. Airbnb has 30 different classes (all free) taught by some 40 Airbnb data scientists and data engineers serving as faculty members. More than 900 employees had taken classes by August 2017, with each student taking an average of four to five classes.

Analyst Doug Henschen principal analyst with Constellation Research Insaid organizations looking to democratize data should be prepared to face additional challenges. "There's getting the right tools and capabilities in place, but also guiding users on best practices."

by giving workers these data tools, they can focus on making decisions rather than on seeking out information. The same goes for data scientists, who can focus on more complex questions instead of running reports for business-side colleagues.

Henschen said the most immediate benefit of self-service data is a gain in productivity, but he also sees additional ROI from such initiatives.

Democratizing data also means business users no longer wait in line, only to find that their needs have changed once IT delivers on their request. Instead, they are able to explore and ask new questions as they dive into the data and seek answers to their business questions.
#Airbnb  #data  #datascience  #fluency  #impact  #productivity 
2 days ago
ARBW #11 From Irrational Exuberance to Clean and Sober Shel Israel 20171210
ARBW #11: From Irrational Exuberance to Clean and Sober
Usually, we remember Charles Dickens at this time of year for, “A Christmas Carol,” but as I write this final AR Business World newsletter of 2017, I find myself looking back at the past 12 months with the opening lines of a “Tale of Two Cities,” resonating in my mind.

“It was the best of times, it was the worst of times, it was the age of wisdom, it was the age of foolishness, it was the epoch of belief, it was the epoch of incredulity, it was the season of Light, it was the season of Darkness, it was the spring of hope, it was the winter of despair …”

To me 2017 was simultaneously the best and worst of times in Augmented Reality.

It was the best of years for vision, but not for adoption. It was a time for mind-boggling trailers of leaping whales, and disappointing performances to follow. It was a year of great innovations, but limited adoptions; a time for Unity and product fragmentation. It was a year of lofty goals that could not grasped.

Such ironies also filled my personal life. The Fourth Transformation became a best-seller. Transformation Group, LLC was formed and developed successful media, educational and consulting products. Yet, it was simultaneously a period in which a long term partnership and friendship dissolved, corporate strategists for the most part remained in "wait-and-see" mode related to immersive technologies and much-hyped game changers, such as ARKit, changed very little other than Apple’s credibility as a category game changer.
#AR  #status  #outlook  #ShelIsrael 
2 days ago
The Fourth Transformation Robert Scoble Shel Israel 201612
he Fourth Transformation Paperback – December 7, 2016
by Robert Scoble (Author),‎ Shel Israel (Author)

Ten years from today, the center of our digital lives will no longer be the smart phone, but device that looks like ordinary eyeglasses: except those glasses will have settings for Virtual and Augmented Reality. What you really see and what is computer generated will be mixed so tightly together, that we won’t really be able to tell what is real and what is illusion.
Instead of touching and sliding on a mobile phone, we will make things happen by moving our eyes or by brainwaves. When we talk with someone or play an online game, we will see that person in the same room with us. We will be able to touch and feel her or him through haptic technology.
We won’t need to search online with words, because there will be a new Visual Web 100 times larger than the current Internet, and we will find things by images, buy things by brands, or just by looking at a logo on the jacket of a passerby. Language will be irrelevant, and a merchant in a developing world will have access to global markets.
Medical devices will cure schizophrenia, allow quadriplegics to walk. People will be able to touch and feel objects and other people who are not actually there for conversations, games and perhaps intimate experiences.
From Kindergarten to on-the-job, learning will become experiential. Children will visit great battlefields and tour historic places in VR rather than read about them in text books. Med students and surgeons will learn and practice on virtual humans rather than cadavers; oil rig workers will understand how to handle emergencies, before the ever leave the home office.
The Fourth Transformation is based on two years of research and about 400 interviews with technologists and business decision makers. It explains the technology and product landscape on a level designed to be interesting and useful to business thinkers and general audiences. Mostly it talks about how VR and AR are already being used, or will be used in the next one-to-three years. It explains how this massive and fundamental transformation will be driven, nit just by Millennials, but by the generation following them, which the authors have named the Minecraft Generation.
Robert Scoble and Shel Israel have written this book in the hope that it will serve as a business thinker’s guidebook to the near-term future. They hope readers will walk away understanding the massive changes rapidly arising, so that they will navigate a successful course through the changes they will be facing sooner than they—or their competitors-- may realize just yet.
#technology  #AR  #ShelIsrael 
2 days ago
XR Funding Reaches $2.1 Billion in 2017 20171204
Data Point of the Week: XR Funding Reaches $2.1 Billion in 2017
by Mike Boland.In Data, Trend Analysis.
Despite tempered expectations and lower-than-expected consumer adoption for AR and VR in 2017, funding levels remain roughly equal to 2016. This is according to Crunchbase’s latest data release.

Specifically, funding levels for the year are about $2.1 billion. This includes the very recent $200 million that Niantic received to develop more games that are built on the architecture and game mechanics of Pokemon Go, such as a Harry Potter-themed version.

This is encouraging news for the sector, at a time when it could use some. We share the belief that growth will come, though it will take longer than some of 2016’s hype cycle might have indicated. Funding levels can be a telling and leading indicator of growth we can expect.

However it should be noted that a lot of this investment has gone to a few big outliers, such as Magic Leap and Unity. As we’ve examined, this takes a little away from the overall funding levels as a barometer of sector health, but isn’t too damning. Mostly the funding picture is good news.

It’s also interesting to note that funding levels are growing quarter over quarter basis throughout 2017 (which isn’t over of course…) with Q4  levels passing $80 billion. And its telling that investors are seeing at least some returns: XR acquisitions are on the rise, but roughly equal to 2016.

See more details below, including investment and exit trending, and a breakdown of the companies/recipients of funding so far.
#AR  #VR  #investment  #funding  #2017 
2 days ago
Unreliable & unresponsive Ordered 2 passes as Xmas gifts 3 weeks ago Unable to activate Contacted online…
from twitter
3 days ago
Extensis Portfolio - Digital Asset Management Software |

Easy File Upload and Storage
Quickly load files into Portfolio by either importing documents or ingesting files already located on the server.

Empowered Metadata and Tags
Allow automatic extraction of metadata and add keywords individually or in batch, which lets you find your assets more easily.

Flexible Organization
Define multiple catalogs, folders, and galleries to fit the way your organization works.

Predictive, Google-like Search
Find what you need in milliseconds. Enter a few search characters and Portfolio will automatically suggest a list of matching assets and display the results.

Asset Previews
Thumbnails and video snippets are automatically generated upon upload, giving you a visual way to search, preview, and find the assets you're looking for fast.

Smart Galleries
Conditional searches in Portfolio can be saved as a Smart Gallery, so when assets are tagged with specific metadata, they are automatically added to the appropriate gallery.


User Management
With Portfolio, users can be granted access with controlled permissions to specific catalogs, giving them the ability to access the files available to them.

Drag & Drop Access
Conveniently drag and drop files between Portfolio and your folders, desktop, and any supported application, such as Adobe® InDesign® and Microsoft PowerPoint®

Convert On-The-Fly
Sometimes, a lower resolution or resized version is needed. Without submitting asset requests, conversions and unnecessary back-and-forth, users can convert and download what they need, when they need it.

G2 Crowd Leader
User reviews put Portfolio at the top of the charts on G2 Crowd, where Portfolio has achieved the highest-level achievement of “Leader” in the G2 Crowd Digital Asset Management Grid.

Trendsetting Product of the Year
KMWorld deems Portfolio a Trend-Setting Product of the Year, based on its innovation, evolution and ability to meet business needs by transforming information into insight.
#DAM  #taxonomy  #tagging  #enterprise 
5 days ago
Tagging Tips How to Organize Files and Other Information with Tags Zapier 20160811
Tagging Tips: How to Organize Files and Other Information with Tags
Aja Frost / August 11, 2016

Trying to find old files is like trying to read your own mind. Where would I have saved those pictures from Australia?!? you think, before spending a frustrating half hour digging through folders and folders of miscellaneous images. What would I have called that report I wrote in August 2012?!?

Tags (or labels in some apps) can eliminate these exasperating and time-consuming mental exercises. With a couple of tags, you can instantly categorize and label files for hassle-free searches down the road, and then find all of those files again easily no matter where you save them. For instance, if you’d tagged each of your vacation photos "Australia," "vacation," "travel," and "2015," you’d be able to find them by selecting any or all of those terms in your photos app.

Let's explore why tagging is so useful, and how to set up your own tag system. Then, we’ll dive into using tags for your emails, photos, notes, and files, and glance at the benefits of using tags alongside folders.
#tagging  #tips  #files  #folders  #notes 
5 days ago
Proven By Users Online Card Sorting
Discover an intuitive structure for your content.
Proven by Users Online Card Sorting
Learn about our Free Card Sorting!

Card sorting is an effective way to find the right information architecture for your content.
Proven by Users improves upon traditional card sorting by allowing people to participate online - remotely collecting results and analytics that are instantly compiled. Our card sorting tool supports all the standard features you expect and more like sub-groups, card duplication and surveys.
#cardsorting  #taxonomies  #online  #tool 
6 days ago
Card-sorting Tools
Card-sorting Tools

by Tom Tullis
Last updated September 23, 2017

Card-sorting is a great way to learn how users, or prospective users, of a website perceive the logical relationships among the various elements of the site. There are three basic steps to any card-sorting project:

Define the cards to be sorted. These are commonly brief descriptions of the candidate pages of a website, not including pages that are purely for navigation.
Have representative users sort the cards. In most cases, the participants are allowed to create and name their own categories.
Analyze the results. Two of the common techniques for analyzing card-sorting data are hierarchical cluster analysis and multi-dimensional scaling.
Card-sorting is one of the "Special Topics" we discuss in Chapter 9 of our book, Measuring the User Experience. Specifically, we discuss the analysis of data from two different types of card-sorting studies: Open Card Sorts, where participants are allowed to create and name their own categories for the cards, and Closed Card Sorts, where participants are given the names of the categories that they are to sort the cards into. Both methods are useful and have their place. Open card sorts are particularly useful near the beginning of a project. Closed card sorts are more useful later on when you have some candidate organizations that you want to evaluate.

Here are some of the examples from the book of the analysis of open card-sort data:

Table 9.8. Sample data from one participant in a card-sorting exercise involving fruit.
Table 9.9. Overall distance matrix for all 20 participants in the sample involving fruit.
Figure 9.2. Results of hierarchical cluster analysis of the sample data.
Figure 9.3. Results of multi-dimensional scaling analysis of the sample data.
The following are some of the tools that can help you do card-sorting studies.
#cardsorting  #research  #tools  #taxonomies 
6 days ago
Who Can You Trust?: How Technology Brought Us Together and Why It Might Drive Us Apart 201711
Who Can You Trust?: How Technology Brought Us Together and Why It Might Drive Us Apart
by Rachel Botsman (Author)

How and why the real disruption in our VUCA world is not caused by technology; rather, by the massive trust shift it creates
November 14, 2017
Format: Hardcover
I am among those who agree with these remarks by Confucius to his disciple, Tzu-Kung: “Abandon weapons first, then food. But never abandon trust. People cannot get on without trust. Trust is more important than life.”

Keep that thought in mind as you consider this broad claim by Rachel Botsman in the Introduction: “We are at the start of the third, biggest revolution in the history of humankind.” The first two – local and then institutional -- are identified in context. Her focus is on the third. “still very much in its infancy, is [begin italics] distributed [end italics]. A trust need not mean the previous forms will be completely superseded; only that the new form will become more dominant.”

Botsman wrote this book in order help her reader understand the implications of this new trust era: “who will benefit, who will lose, and what the fallout might be.”

The material in Chapter 4, “Where Does the Buck Stop?, is of special interest to me. Botsman locks in on Uber and Airbnb, two communities that seem to represent potential for both the best and worst of distributed trust and mistrust between and among everyone involved in each transaction. She addresses important issues that include reliability (fulfilling expectations), accountability (keeping promises and correcting screw ups), and protection (platforms to mitigate the risk of bad things happening). “When it comes to trust in distributed systems, we need to know who will tell the truth about a product, service, or piece of news, and who to blame if that trust is broken. Where does the buck stop? In this new era, people are still working that out.” This chapter all by itself is worth far more than the cost of the book.

Recall the remarks by Confucius to one of his disciples. Obviously Botsman agrees that, without an understanding of how trust is built, managed, lost, and repaired, “a society cannot survive, and it certainly cannot thrive. Trust is fundamental to almost every action, relationship and transaction.”

Moreover, “The emerging trust shift isn’t simply a story of dizzying upsurge in technology or the rise of new business models. It’s a social and cultural revolution. It’s about us. And it matters.”

Yes, what Marshall McLuhan once characterized as our “global village” has become more volatile, more uncertain, more complex, and more ambiguous than at any prior time that any of us can remember. Trust or mistrust now flows between and among individuals, enabled by increasingly more efficient and more effective technologies. For example, those involved with AI, IoT, and automation.

“Distributed trust needs us to allow space for a [begin italics] trust pause [end italics], an interval in which to stop and think before we automatically click, swipe, share, and accept.”

Who we can trust will largely depend on what we can trust. That is why understanding the system is so important. And that is why the information, insights, and counsel that Rachel Botsman provides in this book are essential.
#tech  #trust  #privacy  #society  #book  #order  #PEH 
7 days ago
NKLS Media (@NKLSMedia) | Twitter
NKLS Media
@NKLSMedia Follows you
Committed to untangling the connected world. It’s not about the tech, it’s understanding how tech shapes our world. Focusing on VR, AR, Blockchain, and AI.

Manhattan, NY
Joined January 2017
#tech  #AI  #newsource 
7 days ago
" Isn’t Just for Tech Companies" 1 of 5 dimensions of Corp. Effectiveness measured by…
Technology  Innovation  from twitter
7 days ago
More on the Top 250 U.S. Companies based on rankings WSJ series
Drucker  from twitter
7 days ago
"The 250 Most Effectively Managed U.S. Companies—and How They Got That Way" Rigorous research by team…
from twitter
7 days ago
Rick Wartzman (@RWartzman) | Twitter
Rick Wartzman
Director @DruckerInst's KH Moon Center for a Functioning Society. Contributor @FastCompany. Host @TBL_podcast. Latest book: The End of Loyalty. Ex WSJ, LAT.

Los Angeles, CA
Joined June 2014
#academic  #DruckerInstitute  #LarryCrosby  #exemplary  #companies  #Claremont 
7 days ago
Drucker Institute (@DruckerInst) | Twitter
Drucker InstituteVerified account
Strengthening organizations to strengthen society.

Claremont, CA
Joined December 2008
#Drucker  #exemplary  #companies  #innovation  #technology 
7 days ago
Technology Innovation Isn’t Just for Tech Companies WSJ 20171205
Technology Innovation Isn’t Just for Tech Companies
Wal-Mart and Procter & Gamble make the top 20 for innovation in the Drucker Institute’s Management Top 250 rankings

Companies of all kinds are using cloud services and collaborative work models, automating mundane work processes and embracing cutting-edge technologies. PHOTO: JOE RAEDLE/GETTY IMAGES
By Sara Castellanos
Dec. 5, 2017 3:32 p.m. ET
Information-technology executives at companies of all kinds in the Drucker Institute’s Management Top 250 ranking of the most effectively managed U.S. companies have found ways to incorporate the best strategies from the technology sector to promote innovation, collaboration and new business models.


IT executives at companies such as Wal-Mart Stores Inc., WMT 0.85% Procter & Gamble Co.—both among the 20 companies with the highest scores for innovation—and Capital One Financial Corp. are taking on a more central role in the business, helping their companies adapt to the digital age. To that end, they’re using cloud services and collaborative work models to speed up the development and delivery of technology, automating mundane work processes for employees and embracing cutting-edge technologies that add business value.

“We’re modeling ourselves off the best technology companies out there,” says Rob Alexander, Capital One’s chief information officer. “Not legacy tech companies, but companies that have been built in the era of the cloud and the internet.”
#innovation  #digital  #exemplary  #companies  #Drucker  #WSJ  #Walmart  #CapitalOne  #P&G  #2017 
7 days ago
The 250 Most Effectively Managed U.S. Companies and How They Got That Way WSJ 20171205
The 250 Most Effectively Managed U.S. Companies—and How They Got That Way
Amazon is on top, followed by Apple and Alphabet, in a landmark ranking, the Drucker Institute’s Management Top 250
Amazon, Apple and Alphabet are innovation and customer-satisfaction standouts because so many of their products are reshaping industries and social behavior.
Amazon, Apple and Alphabet are innovation and customer-satisfaction standouts because so many of their products are reshaping industries and social behavior. PHOTO: DREW ANGERER/GETTY IMAGES
By Vanessa Fuhrmans and Yoree Koh
Updated Dec. 5, 2017 11:41 p.m. ET
A nearly century-old timber company is an unsung management gem. Investor-favorite blue chips haven’t lost their luster in terms of how well they are run. And the tech giants shaping much of today’s society are the most effectively managed U.S. companies.

Those are among the many insights revealed in the inaugural Management Top 250, a landmark ranking marking the first time the ideals and teachings of the late business guru Peter Drucker have been used to analyze and compare the performance of major U.S. companies.

Hailed as the father of modern management, Mr. Drucker influenced generations of business leaders with his writings, including a regular column in The Wall Street Journal. His principles of what makes a well-managed organization have never before been translated into a quantitative model to measure how effectively a company is run.


The Management Top 250 does just that. The ranking—compiled by the Drucker Institute, founded in 2007 to advance the ideals of the management sage—differs from other “best of” lists in that it doesn’t measure any single aspect of a company’s prowess, such as profits or productivity. Rather it takes a holistic approach, examining how well a business does in five areas that reflect Mr. Drucker’s core principles: customer satisfaction, employee engagement and development, innovation, social responsibility and financial strength.
#companies  #exemplary  #rankings  #Drucker  #WSJ  #Amazon  #Google 
7 days ago
Drucker Institute Top 250 Companies WSJ 20171130
which U.S. companies are most effectively navigating the current business climate and serving their workers, customers and shareholders, based on a ranking by the Drucker Institute.
#companies  #exemplary  #csat  #innovation  #WSJ  #Drucker  #LarryCrosby  Drucker 
7 days ago
Growth Beats Cost-Cutting As Insurance Stares at Disintermediation HfSResearch 20171116
Nov 16, 2017 Reetika Fleming
Voice of the Customer: Insights from the Insurance As-a-Service Blueprint Research
The insurance industry faced one of its toughest years yet in 2017. On the back of continued regulatory pressure and volatility, insurers experienced the harsh impacts of industry cycles and technology-driven market disruption in property and casualty (P&C), life and annuity (L&A), and reinsurance. As a result, we see most carriers looking for rapid technology modernization and operational transformation to adapt to new industry requirements. Clients have new expectations for the delivery of operations support for core insurance processes. Our new HfS Blueprint: Insurance As-a-Service 2017 provides a detailed analysis on the capabilities and vision of insurance services partners as they adapt to this new reality. In this POV, we outline some of the key trends that emerged from this study around services clients’ needs and challenges and provide recommendations for carriers to get more value out of their service engagements. The primary research includes interviews with 24 insurance operations executives, operations manager level and above, primarily based in North Americ
#strategy  #enterprise  #challenges  #priorities  #innovation  #CX  #HfS 
7 days ago
Navigating the AI Hype with a Clearer Segmentation HfS Research 20171128
Nov 28, 2017 Tom Reuner
Buyers are clear in that they don’t buy RPA, AI, or blockchain off the shelf but, and they instead aim to procure an outcome. Therefore, the industry has to move beyond technology-centric narratives and put the reimagination of processes center stage. To accelerate this journey, the discussions need to be more differentiated and nuanced. Otherwise, we will repeat the mistakes from the early RPA days, where the discussions focused on notions of RPA being a silver bullet, non-invasive and with the main purpose of replacing FTEs. In order to help overcome the confusion of many stakeholders around the broad notion of AI, we should start with one thing: Be specific and transparent about outcomes and use cases. To do that we need to acknowledge the disparate starting points and market segments.
Artificial Intelligence (AI) is many things: It is hyped and undefined, yet it is becoming pervasive and fostering emotional and, at times, heated discussions. Therefore, it is hardly surprising when organizations and buyers are massively confused about it. The research for our inaugural Enterprise AI Blueprint is reinforcing these views as almost all the providers and buyers share this observation. As my esteemed colleague Phil has rightly highlighted, we are confusing the market even more by discussing the issues between two extremes: On one hand we have low-level RPA deployments and on the other hand is the benchmark of Ray Kurzweil’s notion of the Singularity. This notion not only suggests that AI will surpass a valid Turing test and therefore achieve human levels of intelligence, but also that when it does, we will multiply our effective intelligence a billion-fold by merging with the intelligence we have created. If we want to avoid a repeat of the times when the supply side confused the hell out the industry by the way it discussed RPA, we should take a step back and be clear about what we are trying to analyze and compare.
#ai  #critique  #analyst  #HfS  #2017  #TomReuner 
7 days ago
Worried you're being automated? Think again 20170812
Worried you're being automated? Think again...
August 12, 2017 | Phil Fersht

Posted in: Absolutely Meaningless Comedy,  Robotic Process Automation
#robots  #automation  #video  #humor 
8 days ago
Realizing Value & Profitability of Digital Health Data 20170502
Realizing the Value (and Profitability) of Digital Health Data
Digital Health
Electronic Health Records
Add to My Library
Aggregated digital health data can be used to advance patient care, but there are costs and risks involved
The commercialization of digital health data creates privacy, security, safety, and compensation issues
Electronic health records (EHRs) contain a trove of information that can potentially benefit both public and private enterprise, says Commonwealth Fund President David Blumenthal, M.D., in the Annals of Internal Medicine. With the data aggregated and patients’ identity protected, countless possibilities exist for new products and clinical capabilities. Blumenthal likens this emerging opportunity to the discovery of a new natural resource that must be “extracted, transported, and refined.”

Managing Digital Health Data
Creating electronic patient data will fall in large measure to frontline clinicians, who are expected to reap minimal rewards for their efforts—except the hope of future improvements in patient care. While increasing the usability of EHRs would help, for clinicians the burden will likely always outweigh the benefit.

Patients will have a stake in this new opportunity as well. Even when records are deidentified, there remains a small risk that privacy will be compromised at some point. At a minimum, individuals must consent to surrender their information with the understanding that others may profit financially from it. New regulations also will be necessary to protect consumers from unanticipated and possibly harmful effects, including unsafe or fraudulent products.

The commercial and noncommercial use of digitized health data holds enormous potential for advances in patient care, but the process will be neither straightforward nor without costs. Only by addressing the interests and security of all stakeholders can we ensure that all parties are treated fairly and that risk—human, legal, and economic—is minimized.
#healthcare  #EHR  #digital  #privacy  #providers  #value 
8 days ago
Using the Electronic Health Record to Understand and Minimize Overuse 20170117
Using the Electronic Health Record to Understand and Minimize Overuse
Electronic Health Records
Health Information Technology
Add to My Library
Flexibility of EHRs make them a valuable tool in addressing health care overuse
The “overuse” of health care—the delivery of services that are either unnecessary or of low clinical value—accounts for substantial spending in our health system. It also may cause harm to patients. Many factors contribute to overuse, including the increasing role of technology in medicine, reliance on physician payment models that encourage utilization, and patients’ expectations for their treatment. In a JAMA “Viewpoint,” Commonwealth Fund Harkness Fellow Juliet Rumball-Smith, M.B.Ch.B., Ph.D., along with coauthors Paul Shekelle, M.D., and David Bates, M.D., argue that electronic health records (EHRs) can help target and eliminate unnecessary health care.

What the Study Found
The authors posit that the flexibility of EHR systems make them valuable tools for addressing overuse. They point to examples at three U.S. health care organizations:

Organization A uses EHRs to influence physicians’ behavior at the point of care. The system has incorporated recommendations from the American Board of Internal Medicine’s “Choosing Wisely” initiative to reduce overuse. If a physician orders a test that is included as a “do not do”—for example, an imaging test for an uncomplicated headache—the system will prompt them with information and alternative strategies.
#healthcare  #cost  #providers  #overuse  #EHR 
8 days ago
Preventable Spending High-Cost Medicare Patients 20171027
Concentration of Potentially Preventable Spending Among High-Cost Medicare Subpopulations
High-Need, High-Cost Patients
Add to My Library
A large share of Medicare spending is generated by a relatively small group of patients with expensive medical needs
High-cost patients, many of whom are frail and elderly, account for most potentially preventable Medicare spending
A large share of Medicare spending is generated by a relatively small group of patients with expensive medical needs. These patients, many of whom are frail and elderly, account for the vast majority of potentially preventable Medicare spending. Interventions targeting the health conditions of these patients could significantly reduce avoidable expenditures in Medicare.
#healthcare  #cost  #population  #elderly 
8 days ago
Three Keys to Unlocking Data-Driven Health Care Whitepaper Medtronic HBR 20171114
Three Keys to Unlocking Data-Driven Health Care
New types of data analytics are on track to deliver consistent, provable value in health care. Here are three keys to unlocking today’s data in order to help health systems dramatically improve patient care and operating efficiencies in treating chronic conditions. Health care systems around the world are transitioning to new business models in order to improve patient care and operating efficiencies. The pressures on providers to find new models are significant, particularly for patients with chronic diseases— such as diabetes and cardiovascular disease—which now account for 60 percent of deaths globally. The number of people with these conditions is rising at worrying rates. For example, the number of people with diagnosed diabetes in the United States has climbed from about 17 million in 2007 to roughly 24 million now, and the total direct and indirect annual costs of care are estimated at more than $250 billion.
#healthcare  #analytics  #applications  #advice  #bestpractices 
8 days ago
Cyft - Turning Healthcare Organizations into Learning Healthcare Systems
Care management organizations often struggle to provide interventions that meet the unique needs of chronic/complex, behavioral health, and dual-eligible populations. Fortunately, these organizations are sitting on a goldmine of undiscovered insights in healthcare organizations case management notes, call center transcripts, ADLs, EHR and claims data. Cyft combines proven healthcare-specific machine learning + natural language processing technology with deep operational knowledge to design, implement, and monitor data-driven care management interventions. Partnering with Cyft produces transformative results for value-based organizations and the families they serve.

Read “Why We Created Cyft” to learn more.
#healthcare  #analytics  #startup  #vendor  #AI  #valuebasedcare 
8 days ago
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