The Transformative Power of Analytics - The Houston Astros: a Case Study

Irving Wladawsky-Berger

The answer, in a nutshell, is analytics. Luhnow then brought his analytics and management skills to Houston and proceeded to transform the team into a top contender in a short few years. For certain elements of the analytics, we had to wait and be patient.

Social Physics - Reinventing Analytics to Better Predict Human Behaviors

Irving Wladawsky-Berger

But, at the same time, mutations and innovations will vary among different groups, with natural selection favoring those human groups better able to adapt to changing conditions.

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The Transformative Power of Analytics - The Houston Astros: a Case Study

Irving Wladawsky-Berger

The answer, in a nutshell, is analytics. As VP of scouting and player development in St Louis, Luhnow built a strong analytics department and enjoyed great success as one of the top talent producers in baseball, helping the Cardinals win the 2011 World Series as well as reach the playoffs from 2012 to 2015. Luhnow then brought his analytics and management skills to Houston and proceeded to transform the team into a top contender in a short few years.

The Promise and Challenges of Health Analytics

Irving Wladawsky-Berger

On February 24 I attended a workshop in MIT on the Future of Health Analytics. In a recent paper , Ausiello notes that health analytics has the potential to become the next frontier in medicine, driven by the confluence of three key revolutions: .

The need for innovation across boundaries and the power of big data analytics

Ross Dawson

I attended a very interesting lunch today hosted by EMC launching a study and report on Information Generation , drawing on a survey of 3,600 executives globally looking at what will drive their business in coming years.

The Study, and Other Stuff

Stephen Downes: Half an Hour

There are three separate threads in Siemens's response to my last post , all of which are fascinating: The thread concerning whether or not the study he published was bad, The thread examining the question of whether universities can be a valuable force for social equity, and My own experiences of the university system. Whether or not the study he published was bad Siemens writes, "Stephen expands on his primary concerns which are about educational research in general."

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The 2010 IBM Global CEO Study

Irving Wladawsky-Berger

IBM recently released the 2010 Global CEO Study. This is IBM’s fourth biennial CEO study since 2004. For the 2010 study , IBM held more than 1,500 face-to-face interviews with private sector CEOs (80%) and senior public sector leaders (20%) from 33 different industries spread over sixty countries. In the past three studies, CEOs consistently said that coping with change was their most pressing challenge. Capitalizing on Complexity is the title of the 2010 study.

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The Future of Learning Management Systems: Development, Innovation and Change

Stephen Downes: Half an Hour

But there are studies: [link] vast majority of students said online was better or just as good. A big long-term trend to watch: initially there was a lot of emphasis on analytics, where they say ‘we will analyze the data’. The big thing is data access; analytics is more secondary.

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Innovation in an Age of Austerity

Irving Wladawsky-Berger

On December 7 I participated in an Innovation Summit sponsored by the UK Innovation Research Centre (UK-IRC) at the University of Cambridge. The UK-IRC is “a collaborative initiative for cutting-edge research and knowledge exchange activities on how innovation can make businesses more competitive, improve public services delivery and help the UK meet the social, environmental and economic challenges it faces.”

Learning Analytics: Big Data Applied to Training, Teaching, and Learning

Beth Kanter

Learning Analytics comes from a report about the impact of emerging technologies for practitioners in a field. Two or three years to adoption: Learning Analytics (K-12/Higher Ed), Open Content (K-12), Games and Gamification (Higher Ed). Learning and Knowledge Analytics.

New Study: Helpful and Friendly Co-Workers Can Keep You Alive.

Bob Sutton

The ergonomics of innovation -- The McKinsey Quarterly. interview Pixar Brad Bird - Innovation lessons from Pixar Director Brad Bird - Strategy - Innovation - The McKinsey Quarterly. Customer-Focused Innovation. David A Owens: Creative People Must Be Stopped: 6 Ways We Kill Innovation (Without Even Trying). McCraw: Prophet of Innovation: Joseph Schumpeter and Creative Destruction. Davenport: Competing on Analytics: The New Science of Winning.

Study 85

National Study Reveals: Digital and Social Media Are Delivering Results for Arts Organizations

Beth Kanter

Note from Beth: I had pleasure of facilitating a panel discussion in October at the recent Grantmakers in the Arts pre-conference on technology and media with Rory MacPherson where I learned about some of the preliminary study result he discovered. Research Studies

Study 109

Irving Wladawsky-Berger: Creativity, Innovation and Design

Irving Wladawsky-Berger

Irving Wladawsky-Berger A collection of observations, news and resources on the changing nature of innovation, technology, leadership, and other subjects. After all, we are talking about innovation. Design adds the more subjective - and equally important - dimensions of innovation.

New Study: When NBA Players Touch Teammates More, They and.

Bob Sutton

The ergonomics of innovation -- The McKinsey Quarterly. interview Pixar Brad Bird - Innovation lessons from Pixar Director Brad Bird - Strategy - Innovation - The McKinsey Quarterly. Customer-Focused Innovation. David A Owens: Creative People Must Be Stopped: 6 Ways We Kill Innovation (Without Even Trying). McCraw: Prophet of Innovation: Joseph Schumpeter and Creative Destruction. Davenport: Competing on Analytics: The New Science of Winning.

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Why Innovation is Critical to Help Governments Adjust to the Realities of the 21st Century?

Irving Wladawsky-Berger

Aligning government with 21st century economic realities will require innovations at least as disruptive and profound as those embraced by the private sector. By harnessing major technological shifts and adopting best business practices, we can not only make our government far more productive, but also foster greater innovation in areas ranging from healthcare to education and energy – innovation that will generate economic growth and job creation.”. “We

Getting on the AI Learning Curve: A Pragmatic, Incremental Approach

Irving Wladawsky-Berger

Two-thirds of the opportunities to use AI are in improving the performance of existing analytical use cases,” is the paper’s overriding finding. And, in the remaining 15% of cases, machine learning provided limited additional performance over existing analytical methods. .

How to Support the Widespread Adoption of AI

Irving Wladawsky-Berger

In their 2009 book Wired for Innovation: How Information Technology is Rewiring the Economy , Erik Brynjolfsson and Adam Saunders introduced the concept of organizational capital as the necessary critical ingredient that enabled a company to take full advantage of major IT advances.

The Power Of The Roles We Take: A Very Old Study And Related.

Bob Sutton

The ergonomics of innovation -- The McKinsey Quarterly. interview Pixar Brad Bird - Innovation lessons from Pixar Director Brad Bird - Strategy - Innovation - The McKinsey Quarterly. Customer-Focused Innovation. David A Owens: Creative People Must Be Stopped: 6 Ways We Kill Innovation (Without Even Trying). McCraw: Prophet of Innovation: Joseph Schumpeter and Creative Destruction. Davenport: Competing on Analytics: The New Science of Winning.

Study 69

Irving Wladawsky-Berger: Reflections on Leadership and Innovation

Irving Wladawsky-Berger

Irving Wladawsky-Berger A collection of observations, news and resources on the changing nature of innovation, technology, leadership, and other subjects. In this course, I want to examine how to leverage disruptive innovations to significantly transform a business or even a whole industry.

Blockchain Can Reshape Financial Services… But it Will Take Significant Time and Investment

Irving Wladawsky-Berger

The future of financial infrastructure report is based on a year long study involving industry leaders, regulators and other subject matter experts. Others include biometrics, cloud computing, cognitive computing, machine learning and predictive analytics.

Getting on the AI Learning Curve: A Pragmatic, Incremental Approach

Irving Wladawsky-Berger

Two-thirds of the opportunities to use AI are in improving the performance of existing analytical use cases,” is the paper’s overriding finding. AI is now being successfully applied to tasks that not long ago were viewed as the exclusive domain of humans, - machine translation, natural language processing, defeating the world’s top Go players, - but only 16% of the use cases studied by McKinsey are greenfield cases, where only machine learning techniques can be used.

The Emergence of Industry 4.0

Irving Wladawsky-Berger

Over the past few years, Industry 4.0, - aka the 4th Industrial Revolution, - has been the subject of several articles, studies, and surveys, as well as a book published earlier this year by Klaus Schwab , founder and executive chairman of the World Economic Forum (WEF).

Presentation to UNCTAD's Advisory Group on "Developing skills, knowledge and capacities through innovation: E-Learning, M-Learning, cloud-Learning"

Stephen Downes: Half an Hour

Publications vs Community Now, in the study of open educational resources, which I did a number of years ago, for OECD, I looked at the different models of openness, and it seemed to me, at that time, and stills seems to me, that the open model of educational resources themselves significantly acts as a sustainability model. based analytics, is that a personal learning record, can extend beyond the limits of the platform.

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How to Transform a “Big, Old” Company into an Agile Digital Business

Irving Wladawsky-Berger

A quarter century into the digital age , - as a recent McKinsey study found, - the digital maturity of traditional incumbent firms is still relatively low, - under 25% of their overall potential.

Artificial Intelligence is Ready for Business; Are Businesses Ready for AI?

Irving Wladawsky-Berger

A successful program requires firms to address many elements of a digital and analytics transformation: identify the business case, set up the right data ecosystem, build or buy appropriate AI tools, and adapt workflow processes, capabilities, and culture.”. AI is now seemingly everywhere.

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Everyday Technology: Innovative Ways To Do More With Less

Beth Kanter

Note from Beth: Innovation was the buzzword at the Nonprofit Technology Conference! I ran into the good folks at Idealware who offered to do a guest post on the topic – looking at small ways to be innovative. Case Study: Community Thread, Stillwater, MN.

Competing Against “Digital Invaders”

Irving Wladawsky-Berger

The study surveyed over 5,200 CEOs, CFOs, CIOs, CMOs and other C-suite executives across 21 industries in over 70 countries, - most of them in face-to-face interviews. More than half agree that innovation increasingly comes through collaborations with external ecosystem partners.

Become a More Productive, Empathetic, Creative Person With the Help of AI-Based Tools

Irving Wladawsky-Berger

In a recent article in the MIT Sloan Management Review , MIT Research Fellow Michael Schrage proposed a provocative and counterintuitive approach for enhancing innovation and productivity through man-machine collaborations. Instead of just asking how can people create more valuable innovation?,

Customer Experience - the Key Competitive Differentiator in the Digital Age

Irving Wladawsky-Berger

More specifically, the survey asked them about their progress in embracing five major digital trends: big data and advanced analytics, digital engagement of customers, digital engagement of employees and external partners, automation, and digital innovation.

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Preparing Students for an Increasingly Complex Business World

Irving Wladawsky-Berger

Not quite, say a number of recent studies. Universities generally do a pretty good job when it comes to teaching hard skills, - engineering methods, technology, analytical tools, finance, marketing, and so on.

Gender Diversity, Empathy and Technology

Irving Wladawsky-Berger

Studies also show that people working in teams tend to achieve better results and report higher job satisfaction… If a company wants to outstrip its competitors, it needs to influence not only how people work but also how they work together.”.

Human-AI Decision Systems

Irving Wladawsky-Berger

Nor have they integrated the large amounts of data, analytical tools and powerful AI systems now at our disposal into their decision making systems. . Sports analytics are now used by just about every professional sports team in the world.

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The Business Value of Resilience

Irving Wladawsky-Berger

The Industrial Revolution was “as much about process innovations that reduced waste and increased productivity as it was about the application of new technologies,” wrote Roger Martin in a recent Harvard Business Review (HBR) article, - The High Price of Efficiency.

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Attention Nonprofit #datanerds: 3 Research Studies and 3 Cool (FREE) Data Tools

Beth Kanter

March is not only great for basketball, but is also good for nonprofit research studies about digital strategies and launches of new data tools. So if you like looking at and thinking about data and love to get your hands dirty with a data jujitsu, here’s a couple of goodies for you.

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The Challenges of Executing a Transformational Strategy

Irving Wladawsky-Berger

Studies have found that two-thirds to three-quarters of large organizations struggle to implement their strategies.” . Startups were experimenting with many new applications and business models, - some of which turned out to be quite innovative, and some rather silly.

How Will AI Likely Impact How We Work, Live and Play?

Irving Wladawsky-Berger

Public safety and security. “One of the more successful uses of AI analytics is in detecting white collar crime, such as credit card fraud. To be successful, AI innovations will need to overcome understandable human fears of being marginalized.

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A Framework for Building AI Capabilities

Irving Wladawsky-Berger

It’s only been in the last few years that complementary innovations, especially machine learning have taken AI from the lab to early marketplace adopters. Not surprisingly, the majority of the projects studied, 71%, fell into this category.

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Is Design Thinking the “New Liberal Arts”?

Irving Wladawsky-Berger

Its mission statement states that “Olin College prepares students to become exemplary engineering innovators who recognize needs, design solutions and engage in creative enterprises for the good of the world.”.

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Solow Paradox 2.0: The Lagging Impact of Technology Advances on Productivity Growth

Irving Wladawsky-Berger

While starting to pick up recently, productivity growth remains at or below 1 percent in many of the countries in the study, still quite low relative to historical levels. The steam engine and electricity, are each examples of such transformative industrial-age innovations.

Deep Learning: Is it Approaching a Wall?

Irving Wladawsky-Berger

The data requirements for deep learning are substantially different from those of other analytic methods in a number of dimensions. The performance of traditional analytics tends to plateau as the data set size increases.

The (Uneven) Digitization of the US Economy

Irving Wladawsky-Berger

Can digital innovation drive long term economic growth? Digital innovation, adoption, and usage are evolving at a supercharged pace across the US economy,” notes the report in its opening paragraph. “As Take advantage of new innovation models.

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The Continuing Evolution of Service Science

Irving Wladawsky-Berger

According to the study, STEM (science, technology, engineering, math) is omnipresent in the service sector, but, unlike the case with the industrial sector, its impact is rarely recognized. Analytics and Data Science.

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Learning to Apply Data Science to Business Problems

Irving Wladawsky-Berger

This past semester I was involved in an interesting course at MIT’s Sloan School of Management , - Analytics Labs (A-Lab). A-Lab’s objective is to teach students how to use data sets and analytics to address real-world business problems.

Data 207