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. It further adds that whereas the genotype is an organism’s full hereditary information, the phenotype is what that heredity actually produces.

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.

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. 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 Science of Information-based Predictions

Irving Wladawsky-Berger

Many pollsters seem to still be using methodologies that worked well a decade or two ago, but look woefully behind the times in the emerging world of big data and advanced analytics. The exponential growth in information is sometime seen as a cure-all, as computers were in the 1970s.

Using network perspectives to visualize changing culture and meaning

Ross Dawson

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.

Nonprofit Organizational Culture Eats Big Data for Lunch

Beth Kanter

Culture Eats Big Data for Lunch – Guest Post by Steve MacLaughlin. Why do other nonprofits extract a lot of value out of their information? Predictive Analytics. The business management guru Peter Drucker is often quoted as saying “Culture eats strategy for breakfast.”

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How to evaluate social and informal learning

Jay Cross

In process, we might look at the analytics surrounding our network. The Swiss situation is probably a management and cultural issue; in Africa, the issue may be bandwidth or availability of terminals and PCs.

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.

The role of informal social networks in building organizational creativity and innovation

Ross Dawson

Evaluate your culture, structures and organizational climate for creativity. It also discusses social network analytics in mapping collaboration. Challenge your analytical and creative talents to design data so that it tells a story.

Online Community Purpose Checklist | Full Circle Associates

Nancy White

A network may look to create many weak connections and amplify the flow of ideas and information, but have very little interest in being a community or group.) If the group is part of a larger organization, is the purpose consistent with organizational goals and culture?

My Old Online Facilitation Workshop Materials | Full Circle Associates

Nancy White

My LinkedIn keeps me informed about that… # Nancy White on 10 Feb 2010 at 3:14 pm As long as you give credit, Meri, I’m happy. If you are looking for information about me or my company, click on the "About Full Circle" tab at the top of the site.

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. Your Information. Bob Sutton.

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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Notes from Information Technology Based Higher Education and Training ITHET 2013, Antalya

Stephen Downes: Half an Hour

Camtasia - problem is it destroys the object-base of presented media & symbolic information VCR recording - done in background through projector - you don''t need software on the presentation computer - eg. matterhorn open source lecture capture - object information is lost Object-based - object remains intact, can be searched, etc - but you need dedicated recording and replay software - eg.

Is Design Thinking the “New Liberal Arts”?

Irving Wladawsky-Berger

Design thinking is now being applied to abstract entities, - e.g. systems, services, information and organizations, - as well as to devise strategies, manage change and solve complex problems. Design thinking has become an increasingly popular topic of discussion over the past decade.

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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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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.

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. Many of these jobs, - which include blue-collar production activities as well as information-based white-collar ones, - are based on well understood procedures that can be described by a set of rules that machines can then follow. .

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AI - the Creation of a Human-Centric Engineering Discipline

Irving Wladawsky-Berger

Similarly, the machines of the 21st century digital economy are making up for our cognitive limitations, - augmenting our intelligence, problem solving capabilities and ability to process vast amounts of information. AI is rapidly becoming one of the most important technologies of our era.

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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.

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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

As with Amazon, Google Maps, and Netflix, people receive actionable, data-driven recommendations informed by algorithms explicitly designed to create a desired self.” . “In

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.

Anticipating the Future of the IT Industry

Irving Wladawsky-Berger

The information was generally collected in data warehouses , and a variety of business intelligence tools were developed to analyze the data and generate the appropriate management reports. These early analytics applications dealt mostly with structured information.

Human-AI Decision Systems

Irving Wladawsky-Berger

In modern societies, decision systems provide a leader the ability to make informed and timely decisions, supported by a complex enterprise of distributed information and communication systems that provide situational awareness.

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The Datafication of Business and Society

Irving Wladawsky-Berger

Their 2013 Foreign Affairs article does a very good job of articulating why “big data marks the moment when the information society finally fulfills the promise implied by its name.” These commercial applications dealt mostly with structured information in those early decades of computing.

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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.

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.

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 Public Face of Science

Irving Wladawsky-Berger

How well informed is the general public on science-related issues? By informing the economy, health and medicine, national resources and their use, scientific information deeply influences the choices made by Americans about how they live their lives and contribute to society.”.

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The Internet, Blockchain, and the Evolution of Foundational Innovations

Irving Wladawsky-Berger

Users could now easily get whatever information they wanted any time, day or night. Along with smartphones, cloud computing, social media, analytics and related technologies, the Internet has been systematically transforming one industry after another.

The Era of Cognitive Computing

Irving Wladawsky-Berger

These digital devices are generating gigantic amounts of information every second of every hour of every day, and we are now asking our computers to help us make sense of all this data. But our brains can’t keep up with the huge volumes of information now coming at us from all sides.

Jobs, Skills and Education

Irving Wladawsky-Berger

It found that employment growth was highest in occupations requiring higher social or analytical skills, - those skills we most associate with a college education. Economic Issues Education and Talent Management and Leadership Political Issues Society and Culture Technology and Strategy

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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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Cognitive Systems and Big-Data-driven Applications

Irving Wladawsky-Berger

This architecture has worked very well for many different kinds of scientific, business, government and consumer applications but is limited in its ability to deal with large amounts and varieties of unstructured information in real time. .

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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. Cloud Computing Complex Systems Data Science and Big Data Economic Issues Innovation Services Innovation Smart Systems Society and Culture Technology and Strategy

Data 273

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. SMAC - Social, Mobile, Analytics & Cloud, - has become the new plastics , capturing the future of IT in one word, or rather, one acronym.

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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. In my opinion, data science should be viewed as a multidisciplinary evolution from business intelligence and analytics.

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. While contemporary storytelling is mostly associated with entertainment, education and culture, it also plays a major role in business.

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The Growing Value of Social Skills

Irving Wladawsky-Berger

The occupations most susceptible to automation have included blue-collar physical activities such as manufacturing and other forms of production, as well as white-collar, information-based activities like accounting, record keeping, and many kinds of administrative tasks.

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