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: .

Notes On "Global Guidelines: Ethics in Learning Analytics"

Stephen Downes: Half an Hour

In my post referencing the ICDE's Global Guidelines: Ethics in Learning Analytics yesterday I said: This document summarizes the considerations of an ICDE working group on learning analytics. The presumption throughout is that a global ethic in learning analytics is needed, can be known, and comprehends the issues in this document. Definition and purpose of the use of Learning Analytics Where is data drawn from? What data must be included in learning analytics?

The Competitive Value of Data: From Analytics to Machine Learning

Irving Wladawsky-Berger

Business analytics predates the big data era. Beyond business analytics, new data science methods could now be used to extract actionable knowledge from all that data, that is, knowledge to help make better decisions and predictions.

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.

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. Those two simple questions radically transform the way we change culture.

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.

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? There seems to be an over-emphasis on protecting hate speech, without an emphasis on protecting political, cultural and scientific speech. Jurisdiction: (not limited by) contact with countries and cultures.

Nonprofit Organizational Culture Eats Big Data for Lunch

Beth Kanter

Culture Eats Big Data for Lunch – Guest Post by Steve MacLaughlin. Predictive Analytics. The business management guru Peter Drucker is often quoted as saying “Culture eats strategy for breakfast.” It is also clear that culture eats Big Data for lunch.

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Social Media Measurement and Learning Analytics: How Do I Love Thee, Let Me Count the Ways

Beth Kanter

I tested out the five phases of falling in love with measurement. Given the topic was measurement, I couldn’t help but go a little meta and play with incorporating learning analytics into the instruction. This blog post shares some insights about those two somewhat disconnected ideas.

Online Community Purpose Checklist | Full Circle Associates

Nancy White

If the group is part of a larger organization, is the purpose consistent with organizational goals and culture? Make up What is the gender, professional, cultural make up of the group?

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. .

My Old Online Facilitation Workshop Materials | Full Circle Associates

Nancy White

Decision Making in Our Increasingly Complex Organizations

Irving Wladawsky-Berger

Complex Systems Economic Issues Management and Leadership Society and Culture Technology and StrategyA couple of years ago I attend a seminar by University of Toronto professor Avi Goldfarb , who along with UoT colleagues has been conducting research on the economic value of AI.

Becoming a Data-Driven Business: Challenges and Opportunities

Irving Wladawsky-Berger

A few weeks ago, McKinsey published The age of analytics: Competing in a data-driven world , a comprehensive report on the state of big data, and in particular, on the challenges and opportunities a company faces as it strives to become a data-driven business.

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Hope for HP's Culture - Bob Sutton

Bob Sutton

Davenport: Competing on Analytics: The New Science of Winning. The Power of Observing and Talking to Real Humans » Hope for HPs Culture.   As one former HP executive explained, once they put that word on the signs, she knew that HP's brilliant culture of innovation was fading fast. Listed below are links to weblogs that reference Hope for HPs Culture : Comments. Bob Sutton. About Subscribe to this blogs feed Email Me Follow Me @ work_matters.

Globalization in Transition

Irving Wladawsky-Berger

Complex Systems Economic Issues Future of Work Innovation Management and Leadership Political Issues Services Innovation Society and Culture Technology and Strategy

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The Emergence of Industry 4.0

Irving Wladawsky-Berger

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. Focus on people and culture to drive transformation.

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. For the vast majority of the use cases, 69%, the key value of machine learning is to improve performance beyond that provided by traditional analytic techniques. And, in the remaining 15% of cases, machine learning provided limited additional performance over existing analytical methods. .

The Business Value of Resilience

Irving Wladawsky-Berger

Teach for resilience : “Management education focuses on the single-minded pursuit of efficiency - and trains students in analytic techniques that deploy short-term proxies for measuring that quality.

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The Jobs Outlook for 2022

Irving Wladawsky-Berger

The survey identified four specific technology advances that are set to dominate business growth over the next five years: ubiquitous, high speed mobile Internet; widespread adoption of big data analytics; artificial intelligence; and cloud computing.

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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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Is Design Thinking the “New Liberal Arts”?

Irving Wladawsky-Berger

Recent studies have shown that, given our complex business world , companies are increasingly searching for talented individuals that are strong in quantitative, analytical, technical and similar hard skills, as well as in strategic thinking, teamwork, communications and related soft competencies.

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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.”.

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Gender Diversity, Empathy and Technology

Irving Wladawsky-Berger

A key finding was that between 1980 and 2015, jobs in occupations requiring high social and analytical skills had the highest growth. Employment in occupations requiring higher levels of analytical skills, - e.g., quantitative, computer usage, - increased by 77%.

Preparing Students for an Increasingly Complex Business World

Irving Wladawsky-Berger

Universities generally do a pretty good job when it comes to teaching hard skills, - engineering methods, technology, analytical tools, finance, marketing, and so on. Economic Issues Education and Talent Innovation Management and Leadership Society and Culture

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.

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

Irving Wladawsky-Berger

Complex Systems Economic Issues Education and Talent Future of Work Innovation Management and Leadership Political Issues Society and Culture Technology and StrategyFewer workers is one of the key reasons for our stagnant economic growth.

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.

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The State of American Jobs

Irving Wladawsky-Berger

workplaces as the economy moves deeper into the knowledge-focused age,” said the report in its opening paragraph. “These changes are affecting the very nature of jobs by rewarding social, communications and analytical skills.

Skills 165

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. Organizations must have a data-analytics strategy that cuts across internal informational silos and properly incorporates external information sources like social media. . What can executives do to create such a culture?

Data 271

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. As noted in this interview with JSB, tacit knowledge and tacit learning are important concepts in this new culture of learning. .

Serious AI Challenges that Require Our Attention

Irving Wladawsky-Berger

Police agencies hope to do more with less by outsourcing their evaluations of crime data to analytics and technology companies that produce predictive policing systems.

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

Irving Wladawsky-Berger

In the long term, more granular self data and analytics will prove essential ingredients for boosting personal productivity and performance inside the enterprise and out.

The Rise of the T-Shaped Organization

Irving Wladawsky-Berger

A growing number of articles have been extolling the value of T-shaped professionals , that is, individuals who combine deep cognitive, analytical, and/or technical skills in a specific discipline, with broad multidisciplinary, social skills.

Technology, Marketing and Storytelling

Irving Wladawsky-Berger

I was reminded of those exciting times when reading a recent article, The Power of Immersive Media , by Frank Rose , Senior Fellow at Columbia’s School of the Arts and author of a number of articles and books on digital culture, including The Art of Immersion.

AI - the Creation of a Human-Centric Engineering Discipline

Irving Wladawsky-Berger

Machine and deep learning are the latest examples of tools like the World Wide Web, search and analytics that are helping us cope with and take advantage of the huge amounts of information all around us. AI is rapidly becoming one of the most important technologies of our era.

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Anticipating the Future of the IT Industry

Irving Wladawsky-Berger

These early analytics applications dealt mostly with structured information. This new data-centric era of computing goes by different names, depending on which aspect one wants to emphasize: big data , analytics , data science , cognitive computing , artificial intelligence.

Understanding the Workings of Our Minds

Irving Wladawsky-Berger

Advances in technology , big data and analytics hold the promise to significantly augment our judgement and expertise and help us make smarter, more effective decisions. However, due to their huge stores of data and powerful analytics, the machines can provide System 2-like results. .

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The Fourth Industrial Revolution

Irving Wladawsky-Berger

Product enhancements - Technology advances are giving rise to a large variety of smart connected products and services, combining sensors, software, data, analytics and connectivity in all kinds of ways.

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 Emergence of Industry 4.0

Irving Wladawsky-Berger

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. Deepen digital relationships with more empowered customers. “Customers will be at the centre of the changes to value chains, products and services.” 72% of companies expect to use of data analytics and other Industry 4.0 Focus on people and culture to drive transformation.

The Internet, Blockchain, and the Evolution of Foundational Innovations

Irving Wladawsky-Berger

Along with smartphones, cloud computing, social media, analytics and related technologies, the Internet has been systematically transforming one industry after another.

Skills and Jobs in the Digital Economy

Irving Wladawsky-Berger

The period from 2006 to 2014 saw the advent of several major digital innovations , including smart mobile devices, social media, big data and analytics, cloud computing and the Internet of Things.

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