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: . Complex Systems Data Science and Big Data Education and Talent Healthcare Systems Innovation Management and Leadership Political Issues Services Innovation Smart Systems Society and Culture Technology and Strategy

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 primary themes of the report were around spotting opportunities, innovation, transparency and trust, personalization, and 24/7 availability, and the implications for business.

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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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.”

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.

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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. Phil Hill Summary notes from the presentation at from at the World Conference on Online Learning , Toronto. Slides: [link] We forget about the perspective of time. Let’s look at 2011-2017.

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Ethical Codes and Learning Analytics

Stephen Downes: Half an Hour

Abstract The growth and development of learning analytics has placed a range of new capacities into the hands of educational institutions. The ethics of learning analytics will therefore need to be developed on criteria specific to education. It may be argued that the relation between ethics and law is such that in a treatment of the ethics of learning analytics we ought also to be concerned with the law in relation to learning analytics.

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.

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. National Study Reveals: Digital and Social Media Are Delivering for Arts Organizations , Guest Post by Mary Trudel and Rory MacPherson. From these questions, our national study, How Strong is Your Social Net? Research Studies

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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

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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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). Their inquiry adds great richness to the reports which includes an overview of the technology, case studies of how early adopters are using it, and synthesis of current research. Learning and Knowledge 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. And, in the remaining 15% of cases, machine learning provided limited additional performance over existing analytical methods. .

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.

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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.

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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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.

How to Support the Widespread Adoption of AI

Irving Wladawsky-Berger

A number of studies agree that AI is the biggest commercial opportunity for companies and industries over the next 10-15 years. Two recent reports by McKinsey and PwC respectively concluded that AI has the potential to incrementally increase global economic output between now and 2030 by an additional $13 to $15 trillion. It’s only been in the last few years that complementary innovations like machine learning have taken AI from the lab to early adopters in the marketplace.

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. A recent Gartner report noted that blockchain technologies are hitting the peak of the hype cycle , when the excitement and publicity about a potentially disruptive innovation often leads to a peak of inflated expectations, before falling into the trough of disillusionment when the fledgling technology fails to deliver.

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). The digitization of product and service offerings by adding smart sensors, communication devices, and data analytics tools to create smart digital products and smart services.

Competing Against “Digital Invaders”

Irving Wladawsky-Berger

Last year, IBM’s Institute for Business Value conducted a C-suite study aimed at identifying the key disruptive trends that will likely impact companies around the world over the next three to five years, as well as what their senior executives are doing to better prepare their organizations for the expected disruptions. 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.

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?, why not also ask How can innovation create more valuable people?

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.”. A common theme throughout the report is that the same players who were leaders in the earlier waves of digitization and analytics are now leading in the AI wave. AI is now seemingly everywhere.

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. Finally, the survey revealed that innovations are more impactful when they improve an everyday experiences, such as pre-ordering coffee through an app, compared to a more occasional interaction like filing taxes. “As

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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.

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. Many of these established companies have already deployed mobile apps, cloud computing and data analytics, and have brought to market a variety of digital products and services.

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.

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. Each of the nearly 700 individuals participating in the study were first administered standard IQ tests, social sensitivity tests to evaluate their ability to read other people’s emotions, and other measures.

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What Machine Learning Can and Cannot Do

Irving Wladawsky-Berger

One of the key features of deep learning algorithms is that, unlike classic analytic methods, there’s no asymptotic data size limit beyond which they stop improving. Artificial intelligence is rapidly becoming one of the most important technologies of our era.

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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. For example, a 2007 study on MBA education found significant gaps between the competencies companies are looking for, and what students are taught in business schools. Without talent, companies cannot innovate; without innovation, there can be no growth.”

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). The digitization of product and service offerings by adding smart sensors, communication devices, and data analytics tools to create smart digital products and smart services.

Gender Diversity, Empathy and Technology

Irving Wladawsky-Berger

The systemiser intuitively figures out how things work, or what the underlying rules are controlling a system.”. “[P]eople with autism,” he agued, “may have an extreme of the male brain - good at systemising, very bad at empathising - and that studying autism with E-S theory in mind, can help increase our understanding of the condition.”. In their initial set of studies , they randomly assigned nearly 700 volunteers into groups of two to five members.

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.”. Its curriculum emphasizes three key areas: a rigorous engineering education; entrepreneurship and entrepreneurial thinking; and the arts, which broadly encompasses creativity, innovation and design. “It

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The Continuing Evolution of Service Science

Irving Wladawsky-Berger

In July of 2009, the UK’s Royal Society released a report - Hidden Wealth: the contribution of science to service sector innovation. “Our main conclusion,…” said the report “is that services are very likely to remain central to the new economy, not least because we are at or near a tipping point: innovations now underway seem likely to change dramatically the way we live and to generate many services (though few can be predicted in detail at present).”.

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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. Everyday Technology: Innovative Ways To Do More With Less, Guest Post by Laura Quinn and Chris Bernard. But at its core, innovation is really about finding creative solutions to existing problems and needs—challenges faced by nonprofits every day.

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. Based on a study of over 150 AI-based projects, the authors found that AI can play a major role in three important business needs: advanced process automation, cognitive insight through data analysis, and cognitive engagement with customers and employees. 38% of the projects in the study fall into this category.

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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. Over the past few decades, the Internet has arguably become the most innovative platform the world has ever seen. Biological systems have long been an inspiration in the study of complex systems.

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

Irving Wladawsky-Berger

The report was developed by a study panel of AI experts convened by the One Hundred Year Study of AI (AI100), an initiative launched at Stanford University in December, 2014 “to study and anticipate how the effects of artificial intelligence will ripple through every aspect of how people work, live and play.” To better understand the future impact of AI on everyday lives, the panel focused the study on the likely influence of AI on a typical North American city by the year 2030.

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The Challenges of Executing a Transformational Strategy

Irving Wladawsky-Berger

And, having a strong digital foundation gives those companies a leg up in embracing data analytics , AI , blockchain , and other advanced technologies, further widening their advantage. “The time for merely thinking digital has passed; the future belongs to the doers,” notes the Symposium’s website. Studies have found that two-thirds to three-quarters of large organizations struggle to implement their strategies.” . The 2018 MIT CIO Symposium will take place on May 23.