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 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.

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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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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.

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.

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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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.

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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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

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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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.

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.

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.

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

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.

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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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.

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

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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. 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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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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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.

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.

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The (Uneven) Digitization of the US Economy

Irving Wladawsky-Berger

The ICT (information and communications technologies) sector is the engine of digitization for the broader economy. A similar conclusion was reached by Erik Brynjolfsson and Adam Saunders in their 2009 book Wired for Innovation: How Information Technology is Reshaping the Economy.

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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.

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.

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.

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.

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

George Siemens

Earlier this week, I delivered a presentation to TEDxEdmonton on why openness and learning analytics are critical for rethinking the future of education. The theme of the event was on open source culture and whether the promises of open source have been oversold.

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.

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.

Reflections on the Education of Applied Data Scientists

Irving Wladawsky-Berger

As an academic field, it cuts across disciplines, with courses in statistics, analytics, computer science and math, coupled with the specialty a student wants to analyze, from patterns in marine life to historical texts.”.

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A Useful Framework for Analyzing the Impact of Technology on Jobs

Irving Wladawsky-Berger

They include blue-collar manual activities such as manufacturing and other forms of production, as well as white-collar, information-based activities like accounting, record keeping, dealing with simple customer service questions, and many kinds of administrative tasks.

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. In thinking about this question over the last few years, I started to notice that a number of subtle, non-intuitive concepts that I learned many years ago as a physics student seem to apply to the world of big data and information-based predictions in highly complex systems. Big Data is one of the hottest topics out there.

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

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Reflections on Big Data, Data Science and Related Subjects

Irving Wladawsky-Berger

We’ve been using the ubiquitous digital technologies and devices all around us to both create and collect massive amounts of information on who we are, what we do and how we interact as individuals, communities and institutions.

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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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Data-Driven Decision Making: Promises and Limits

Irving Wladawsky-Berger

I believe that the power of Big Data is that it’s information about people’s behavior - it’s about customers, employees, and prospects for your new business,” he says. The right decision cannot be ferreted out from the available information.

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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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Social Business in the Age of the Customer

Irving Wladawsky-Berger

They may succeed within individual silos of the business, but they are not fully realizing the potential power of becoming a social business , - which Forrester defines as: “removing the barriers between people (employees, customers, partners) and information while making it easier for people to work together using that information to solve business problems.” Many companies are still struggling with this major cultural transition.