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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.  What are phenotypes?  How can that be? 

Design Principles for Complex, Unpredictable, People Oriented Systems

Irving Wladawsky-Berger

More specifically, they needed to learn how to approach problems from many perspectives and to combine various approaches to find innovative solutions.”. Business and business schools are supposed to be all about applying hard, that is, quantitative, analytical approaches to management.  This is where we enter the world of design.  .

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White House: Innovation in Higher Education

George Siemens

The invitation was somewhat cryptic, but basically stated that the focus on the meeting was on quality and innovation. This invite was then followed a week later with a link to a post by Ted Mitchell, Undersecretary of Education, on Innovation and Quality in Higher Education , to help prepare for the conversation. It’s their job.

Learning and Performance Support Systems

Stephen Downes: Half an Hour

Expansion internationally is difficult without a clear innovation advantage.

Big Data, Complex Systems and Quantum Mechanics

Irving Wladawsky-Berger

Big data is a foundational element in IT’s quartet of Next Big Things : Social, Mobile, Analytics and Cloud.  Such is also the case with organizational and sociotechnical systems whose main components are people.  players, is an example of such a system. Big Data is one of the hottest topics out there.  Let me explain.  .

The Evolution of the Internet of Very Smart Things

Irving Wladawsky-Berger

The notion of IoT solutions built as centralized systems with trusted partners is now something of a fantasy.”  . The cost of connectivity. 

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Learning to Apply Data Science to Business Problems

Irving Wladawsky-Berger

Complex Systems Data Science and Big Data Economic Issues Education and Talent Innovation Management and Leadership Technology and Strategy

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The Continuing, Transformative Impact of IT

Irving Wladawsky-Berger

Disruptive innovations take time to play out. Its potential for driving business innovation remains untapped. There are few surprises. 

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The Continuing Evolution of Service Science

Irving Wladawsky-Berger

This blind spot threatens to hinder the development of effective innovation policies and the development of new business models and practices…”.

Anticipating the Future of the IT Industry

Irving Wladawsky-Berger

These early analytics applications dealt mostly with structured information.  Data Centers → Cloud. Data Analysis → Data Science, Cognitive, AI.

The Fourth Industrial Revolution

Irving Wladawsky-Berger

Systems impact : “The breadth and depth of these changes herald the transformation of entire systems of production, management, and governance.”.

Reflections on Storytelling

Irving Wladawsky-Berger

Transmedia storytelling is one of the major area being pursued at the Annenberg Innovation Lab.  Storytelling predates writing. 

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The New Era of Smart, Connected Products

Irving Wladawsky-Berger

Should the company pursue an open or closed system?; . Everything that we formerly electrified we will now cognitize,” he said. 

The Datafication of Business and Society

Irving Wladawsky-Berger

Datafication is a fairly new concept associated with our recent data revolution.  They can tell you if you’re likely to get diabetes.”  .

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As Big Data and AI Take Hold, What Will It Take to Be an Effective Executive?

Irving Wladawsky-Berger

Big data , powerful analytics and AI are everywhere.  Mid-skill jobs have been particularly threatened.  The authors offer a novel metaphor. 

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The Rise of the T-Shaped Organization

Irving Wladawsky-Berger

Collaboration , - both within their own boundaries and beyond, - is indispensable for innovation.  They don’t get respect from the group.”.

Skills and Jobs in the Digital Economy

Irving Wladawsky-Berger

Equipment : Equipment Maintenance, Installation, Operation Monitoring, Repairing, Systems analysis, Troubleshooting, …. million people. 

New Tools Beget Revolutions: Big Data and the 21st Century Information-based Society

Irving Wladawsky-Berger

On May 22 I attended the 2013 MIT Sloan CIO Symposium.  All while the windows of opportunity and response will continue to shrink. 

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The Growing Value of Social Skills

Irving Wladawsky-Berger

I recently read a very interesting paper, The Growing Importance of Social Skills in the Labor Market , by Harvard professor David Deming. 

The Digitization of the Economy

Irving Wladawsky-Berger

They wrote about the profound transformations brought about by ever more advanced technologies and innovations

Can AI Help Translate Technological Advances into Strategic Advantage?

Irving Wladawsky-Berger

The authors concluded that innovation involves two fundamental processes: analysis and interpretation.

The Evolving Automotive Ecosystem

Irving Wladawsky-Berger

How can today’s auto companies stay relevant and capitalize on these many digital innovations?  Autonomous vehicles are only part of the story. 

What Will Life Be Like in an AI Future?

Irving Wladawsky-Berger

Complex Systems Data Science and Big Data Innovation Political Issues Smart Systems Supercomputing Technology and Strategy

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The Era of Cognitive Computing

Irving Wladawsky-Berger

And, beyond these word-oriented search engines, statistical, information-based systems are being extended in a number of directions.  . players. 

Why Do We Need Data Science when We’ve Had Statistics for Centuries?

Irving Wladawsky-Berger

Complex Systems Data Science and Big Data Education and Talent Innovation Management and Leadership Technology and Strategy

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. Again and again, new capabilities have simultaneously reduced costs and sparked innovation.”. Government has lagged the private sector.  These are extremely hard questions. 

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A Kind of Digital “Perfect Storm”

Irving Wladawsky-Berger

Each company is different, as are its reactions to major disruptive innovations.  Cloud is a classic disruptive innovation

Understanding the Workings of Our Minds

Irving Wladawsky-Berger

The book’s central thesis is that our mind is composed of two very different systems of thinking, which Kahneman calls System 1 and System 2. 

An innovative workshop on radical management

Steve Denning

In these three days ( March 19-21 in Washington DC ), you will discover how to use radical management to thrive in the 21 st Century creative economy and the world of continuous innovation. have you ever wondered why your great innovations and improved ways of doing things don’t seem to have any lasting traction? Then just imagine.

Reflections on Big Data, Data Science and Related Subjects

Irving Wladawsky-Berger

Complex Systems Economic Issues Education and Talent Innovation Management and Leadership Political Issues Smart Systems Society and Culture

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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.  She has written extensively on the world of work, including employability, career reinvention and the new innovation economy.  These include leadership, investments and policies. Louis $.9

Two-Speed IT Architectures

Irving Wladawsky-Berger

Align technology and production systems with business goals.  . Reliance on legacy enterprise resource planning systems.

Data-Driven Decision Making: Promises and Limits

Irving Wladawsky-Berger

Looking deeper at data-driven decision making, it’s important to understand not only the promise but also the limits. 

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On Saving the American Health System: Dr. Donald Berwick's.

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. The Observer | Business | You could be a genius - if only you had a good system. Customer-Focused Innovation. Bob Sutton. Search.

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

That''s what the original learning management system was: course outlines and tests and things like that that the instructor could put online. This is the basis of a lot of analytics that providers of the MOOCs and learning management systems will talk about, where they talk of tracking a student''s performance. Learning. known.

Embracing Disruptive Change - Why Is it So Difficult?

Irving Wladawsky-Berger

This is the innovator’s dilemma - and no company or industry is immune.”  . Following the lunch, I kept thinking about the topic. 

Could the End of Moore’s Law Be Near? If so, What’s Next?

Irving Wladawsky-Berger

The belief system of Silicon Valley doesn’t take that into account.”.   If Moore’s Law is indeed at a plateau, some of the more dramatic technology projections may well not come to pass.  Artificial Intelligence Complex Systems Data Science and Big Data Economic Issues Innovation Smart Systems Society and Culture Technology and Strategy

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Data Science - the Emergence of a New Discipline

Irving Wladawsky-Berger

The book explored the essence of innovation in new product development by examining a few truly novel products in different market areas. 

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The Public Face of Science

Irving Wladawsky-Berger

In its Summary of Findings, the report highlights four major results. There are large differences in their views across a host of issues.”.

A Useful Framework for Analyzing the Impact of Technology on Jobs

Irving Wladawsky-Berger

Complex Systems Data Science and Big Data Economic Issues Education and Talent Innovation Political Issues Society and Culture Technology and Strateg