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The Competitive Value of Data: From Analytics to Machine Learning

Irving Wladawsky-Berger

Business analytics predates the big data era. Such competitive concerns have long applied to hardware and software platforms in the IT industry.

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?

Using network perspectives to visualize changing culture and meaning

Ross Dawson

I earlier shared one of his presentations in a post on how the culture of luxury is changing. Culture Networks (SXSW 2012).

Nonprofit Organizational Culture Eats Big Data for Lunch

Beth Kanter

Culture Eats Big Data for Lunch – Guest Post by Steve MacLaughlin. Predictive Analytics. SECRETS TO SUCCESS. Spark. Kafka. NoSQL.

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Johns Hopkins Academic Freedom Statement - An Analytical Representation

Stephen Downes: Half an Hour

Example: speech on academic, political, or cultural matters, even when deemed offensive to some, is not alone grounds for sanctions against any member of the university community Questions : who does this force apply to? Jurisdiction: (not limited by) contact with countries and cultures. cite the full text below. students, visitors)?

The Rise of the T-Shaped Organization

Irving Wladawsky-Berger

Five such attributes were identified in the study: adaptability, cultural competence, 360-degree thinking, intellectual curiosity, and empathy.

Preparing Students for an Increasingly Complex Business World

Irving Wladawsky-Berger

Be smart, ambitious, yet humble enough to be inclusive and consider the views of others across a variety of disciplines, cultures and perspectives.” .

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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The Fourth Industrial Revolution

Irving Wladawsky-Berger

Organizational forms - Company structures and culture must be rethought to better deal with new market environments and business models.

The Continuing, Transformative Impact of IT

Irving Wladawsky-Berger

The social matrix, the Internet of all things, big data and advanced analytics, and realizing anything as a services are the report’s top four trends.

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

Irving Wladawsky-Berger

Others include biometrics, cloud computing, cognitive computing, machine learning and predictive analytics. DLT is not a panacea.

Docking Employee Pay to Improve Their Skills is Dubious if not Dumb

Dan Pontefract

Under this program, these employees will spend one day a week developing skills in key growth areas such as cloud, analytics, mobile and social.”

The Evolution of the Internet of Very Smart Things

Irving Wladawsky-Berger

Most IoT business models also hinge on the use of analytics to sell user data or targeted advertising. The cost of connectivity.

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The Internet, Blockchain, and the Evolution of Foundational Innovations

Irving Wladawsky-Berger

But, how transformative will blockchain turn out to be? How long is the transformation likely to take? They guide managerial and social action.

The (Uneven) Digitization of the US Economy

Irving Wladawsky-Berger

Digital technologies are all around us, - increasingly ubiquitous and commoditized. But, are they a major source of competitive differentiation ?

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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.

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. What can executives do to create such a culture? The authors offer a novel metaphor.

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Reflections on Storytelling

Irving Wladawsky-Berger

Oral narratives were used by many ancient cultures as a way of passing along their traditions, beliefs and learning from generation to generation.

Design 121

Narratives of culture: the score

Dave Snowden

This is going to be a little out of sequence, but I want to come to how we gather narrative for the new culture scans in future posts.

Imagination, Creativity and Related Subjects

Irving Wladawsky-Berger

This was the subject of the 2011 book co-authored by JSB: A New Culture of Learning: Cultivating the Imagination for a World of Constant Change.

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.

Skills and Jobs in the Digital Economy

Irving Wladawsky-Berger

Complex Systems Data Science and Big Data Economic Issues Innovation Political Issues Smart Systems Society and Culture Technology and Strategy

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.

Technology, Marketing and Storytelling

Irving Wladawsky-Berger

Oral narratives were used by many ancient cultures as a way of passing along their traditions, beliefs and learning from generation to generation.

The Digitization of the Economy

Irving Wladawsky-Berger

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

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

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

Irving Wladawsky-Berger

We believe that our approach to apply analytics to the design of clinical trials has the potential to signi?cantly

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Data Science - the Emergence of a New Discipline

Irving Wladawsky-Berger

Data science goes beyond the use of data mining, business analytics and statistical analysis to look for patterns in large data sets.

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The Era of Cognitive Computing

Irving Wladawsky-Berger

The machines will be more rational and analytic - and, of course, possess encyclopedic memories and tremendous computational abilities. players.

Openness: Why learners should know about, and influence, how decisions are made about their learning

George Siemens

The theme of the event was on open source culture and whether the promises of open source have been oversold. Openness in response to change.

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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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. But things started to change in the 1990s when AI switched paradigms and embraced data mining and information analytics , the precursors of today’s big data. Big Data is one of the hottest topics out there. Let me explain. .

Understanding the Workings of Our Minds

Irving Wladawsky-Berger

However, due to their huge stores of data and powerful analytics, the machines can provide System 2-like results. .

The Public Face of Science

Irving Wladawsky-Berger

The Public Face of Science project will explore the interactions of the general public with science, technology, medicine and related areas.

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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A Kind of Digital “Perfect Storm”

Irving Wladawsky-Berger

Our human nature and organizational cultures have not changed all that much in the intervening millennia. IBM barely survived. .

Reflections on the Education of Applied Data Scientists

Irving Wladawsky-Berger

Data Science and Big Data Economic Issues Education and Talent Innovation Management and Leadership Society and Culture Technology and Strategy

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

Irving Wladawsky-Berger

What worries me about the future of Silicon Valley, is [its] one-dimensionality, that it’s not a Renaissance culture… It’s an engineering culture that believes that it’s revolutionary, but it’s actually not that revolutionary. I recently read The Next Wave: A Conversation with John Markoff in Edge.org. But, the progress is uneven.

Social Business in the Age of the Customer

Irving Wladawsky-Berger

Many businesses have set up social technologies in their organizations, yet few have truly made the technical, cultural, and process changes necessary to reap the full opportunities and benefits of these tools or the vast amounts of data they capture. Many companies are still struggling with this major cultural transition.

Traditional Data Analysis and Data Science

Irving Wladawsky-Berger

I recently participated in an industry panel on Redefining BI & Analytics in the Cloud at a conference in New York.

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