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: . Realizing this next frontier of medicine requires important changes in the culture of both medical research and patient care.

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?

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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. Artificial Intelligence Data Science and Big Data Economic Issues Innovation Political Issues Society and Culture Technology and Strategy

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.

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. In this case we can see that the overall orientation of the organisation is towards analytical decision making, there is little in the intuitive space and some orientation towards principled decision making. 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.

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.

Using network perspectives to visualize changing culture and meaning

Trends in the Living Networks

I’m a big fan of Tim Stock ‘s work, which weaves together a deep network perspective with a rich view of how culture is changing informed by semiotic analysis. I earlier shared one of his presentations in a post on how the culture of luxury is changing. The slides to his presentation at SXSW today on Culture Networks and the codes that drive them are available below. Culture Networks (SXSW 2012).

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. Learning Analytics. I Love Social Media Measurement. View more presentations from Beth Kanter.

The Current State of AI Adoption

Irving Wladawsky-Berger

Throughout the pandemic, we’ve seen organizations across sectors adopting and scaling AI and analytics much more rapidly than they previously thought possible. For the past few years, McKinsey has been conducting a yearly online survey to help assess the state of AI adoption.

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. Any strategy or plan to use Big Data is likely to be devoured if the culture of an organization is not supportive. Now, culture is also an overused term these days.

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The State of AI Adoption - High Performers Show the Way

Irving Wladawsky-Berger

A common theme throughout the report was that the same players who were leaders in the earlier waves of digitization and analytics were the early leaders in the AI wave.

How to Emerge Stronger in the Post-Pandemic New Normal

Irving Wladawsky-Berger

Such a digital recovery will include “technology-enabled next-generation operations, analytics-enabled engineering productivity, and automation of service-related processes.”. But, corporate cultures could erode over time with mostly remote interactions. “What now?,”

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After Years of Promise and Hype, Is AI Once More Failing to Deliver?

Irving Wladawsky-Berger

One of deep learning’s key features is that, unlike classic analytic methods, there’s no asymptotic data size limit beyond which it stops improving.

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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.

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? 11/26/2009 HANH Le # uberVU - social comments on 14 Jan 2010 at 7:02 am Social comments and analytics for this post… This post was mentioned on Twitter by lordorica: Community builders can get a jumpstart using Nancy White’s Online Community Purpose Checklist.

Blockchain and Public Health Solutions

Irving Wladawsky-Berger

Using next generation data analytics and AI they could understand the possible trajectories of a virus and take steps to crush it.”.

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. .

Reconnecting Society and Reopening the Economy

Irving Wladawsky-Berger

Their recent paper and accompanying supplementary material explains their models and analytical methods in great detail. A few months ago, MIT Connection Science held it’s annual Sponsors’ Meeting online. The virtual meeting included a number of very interesting presentations.

Reflections on the Later Stages of Our Careers

Irving Wladawsky-Berger

In sum,” he adds, “if your profession requires mental processing speed or significant analytic capabilities - the kind of profession most college graduates occupy - noticeable decline is probably going to set in earlier than you imagine.

Can Democracy and Free Markets Survive in the Coming Age of AI?

Irving Wladawsky-Berger

Machine learning is a statistical modelling technique, like data mining and business analytics , which finds and correlates patterns between inputs and outputs without necessarily capturing their cause-and-effect relationships. Can technology plan economies and destroy democracy?

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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. 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. .

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. Big data ,- including analytics , data science , artificial intelligence and related information-based technologies - are now everywhere. “Is

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My Old Online Facilitation Workshop Materials | Full Circle Associates

Nancy White

Online Facilitation Course Curriculum Rev Aug 2002 Share and Enjoy: 13 responses so far 13 Responses to “My Old Online Facilitation Workshop Materials&# # uberVU - social comments on 30 Dec 2009 at 10:24 am Social comments and analytics for this post… This post was mentioned on Twitter by NancyWhite: Setting my old online facilitation curriculum into the wild [link]. #

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.

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

Irving Wladawsky-Berger

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. The main reason is culture , - the implicit social order of an organization. Culture shapes long term attitudes and behaviors, and defines what’s encouraged, discouraged, accepted and rejected within an organization.

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. However, the students frequently complain that such skills will not get them the kinds of jobs they want, and they pressure the schools to offer them courses that are more functional, analytical and technical. Economic Issues Education and Talent Innovation Management and Leadership Society and Culture

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. Complex Systems Education and Talent Innovation Management and Leadership Society and Culture Technology and Strategy

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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%. And jobs in occupations requiring both high social and analytical skills, - e.g., managerial, teaching, - grew the fastest at 94%. What’s the value of gender diversity in technology-based disciplines?

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.

Globalization in Transition

Irving Wladawsky-Berger

Consider how to capture value from services. “Across multiple value chains (including manufacturing), more value is coming from services… To make this shift successfully, companies need to gain insight into customer needs, invest in data and analytics, and develop the right subscription, per-use, or performance-based service contracts.”. I recently read two interesting reports on the state of globalization in 2019, one by The Economist, the second by the McKinsey Global Institute.

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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. Blockchain Technologies Complex Systems Digital Money and Payments Economic Issues Innovation Management and Leadership Political Issues Services Innovation Society and Culture Technology and Strategy

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 Complex Systems Data Science and Big Data Economic Issues Future of Work Innovation Management and Leadership Political Issues Smart Systems Society and Culture Technology and StrategyArtificial intelligence is rapidly becoming one of the most important technologies of our era.

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

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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. . It requires a business culture that encourage these conversations and remove the organizational barriers that might prevent them from taking place. . What can managers do to create such a culture?

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. . It requires curiosity, imagination, and a business culture that encourages these conversations and removes the organizational barriers that might prevent them from taking place. . What can executives do to create such a culture?

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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.

Decision Making in Our Increasingly Complex Organizations

Irving Wladawsky-Berger

It’s the best and worst of times for decision makers,” said McKinsey in a recent article, Untangling your Organization’s Decision Making. “Swelling stockpiles of data, advanced analytics, and intelligent algorithms are providing organizations with powerful new inputs and methods for making all manner of decisions.” Complex Systems Economic Issues Management and Leadership Society and Culture Technology and Strategy

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. Its analysis showed that between 1980 and 2015, jobs in occupations requiring high social and analytical skills had the highest growth. Economic Issues Education and Talent Management and Leadership Political Issues Society and Culture

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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. Artificial Intelligence Complex Systems Economic Issues Innovation Management and Leadership Political Issues Smart Systems Society and Culture Technology and StrategyA few weeks ago I discussed whether AI is finally reaching a tipping point, mostly based on a recently published report, - Artificial Intelligence and Life in 2030.

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

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. Artificial Intelligence Data Science and Big Data Economic Issues Education and Talent Future of Work Innovation Management and Leadership Political Issues Services Innovation Society and Culture Technology and Strategy

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