Irving Wladawsky-Berger

Redefining Work - Leveraging Human Capabilities in a Future of Expanding Automation

Irving Wladawsky-Berger

How will labor markets evolve in our 21st century digital economy? What’s the likely future of jobs, given that our increasingly smart machines are now being applied to activities requiring intelligence and cognitive capabilities that not long ago were viewed as the exclusive domain of humans?

System 246

Blockchain Beyond the Hype

Irving Wladawsky-Berger

A recent issue of The Economist included a special report on cryptocurrencies and blockchains.

Data 171

Automation and the Changing Demand for Workforce Skills

Irving Wladawsky-Berger

In 2015, the McKinsey Global Institute launched a multi-year study to explore the potential impact of automation technologies on jobs, organizations and the future of work. In the intervening three years, the study has published a number of report on the subject.

Skills 259

The Economic Value of Artificial Intelligence

Irving Wladawsky-Berger

PwC recently released a report on the potential economic value of AI to different regions and industry sectors around the world.

Data 243

The Impact of AI on the World Economy

Irving Wladawsky-Berger

A few weeks ago I wrote about the economic value of AI based on a recently published report by PwC. The report’s overriding finding was that AI technologies and applications will increase global GDP by up to 14% between now and 2030, the equivalent of an additional $15.7

Data 211

The Jobs Outlook for 2022

Irving Wladawsky-Berger

A few weeks ago, the World Economic Forum (WEF) released The Future of Jobs Report 2018. T he report takes an in-depth look at the world of work in what the WEF calls the Fourth Industrial Revolution.

Survey 168

Serverless Computing - An Innovative Approach to Software Development

Irving Wladawsky-Berger

I n October of 2008, The Economist published a special report on a then relatively new, rapidly growing IT development, - cloud computing.

The Myth of the Washed-Up, Middle-Age Entrepreneur

Irving Wladawsky-Berger

Steve Jobs, Bill Gates, and Mark Zuckerberg were in their early 20s; Sergei Brin and Larry Page were 25; and Jeff Bezos was just 30 when they founded their world leading high-tech companies.

A Biological Approach to Management

Irving Wladawsky-Berger

Darwinian principles seem to apply in business almost as much as in biology.

Blockchain’s Potential for Environmental Applications

Irving Wladawsky-Berger

Social Physics and Cybercrime Detection

Irving Wladawsky-Berger

A few weeks ago I wrote about social physics, a new discipline that aims to help us better understand and predict the behavior of human groups.

Data 185

Are Innovation and R&D Yielding Decreasing Returns?

Irving Wladawsky-Berger

Given the pace of technological change, we tend to think of our age as the most innovative ever. But over the past several years, a number of economists have argued that increasing R&D efforts are yielding decreasing returns. Has the ideas machine broken down?

An Agile, Incremental Approach to Business Process Automation

Irving Wladawsky-Berger

I’ve long believed that customer self-service was key to the success of e-business , - the IBM Internet strategy I was closely involved with in the mid-late 1990s.

Social Physics - Reinventing Analytics to Better Predict Human Behaviors

Irving Wladawsky-Berger

Social physics first emerged over 200 years ago as an attempt to understand society and human behavior using laws similar to those of the physical sciences.

It's All About the Business Model, - Not the Technology

Irving Wladawsky-Berger

In Reinvent Your Business Model , his recently published book, Mark Johnson argues that digital transformation and business model innovation are not the same thing. New technology alone, - no matter how transformative, - is not enough to propel a business into the future.

Harnessing the Collective Intelligence of Humans and Machines

Irving Wladawsky-Berger

For over a decade, MIT professor Thomas Malone has been conducting pioneering research on the collective intelligence of groups. Malone is the founding director of the MIT Center for Collective Intelligence , and has authored and co-authored a number of seminal articles on the subject.

Data 208

Deep Learning: Is it Approaching a Wall?

Irving Wladawsky-Berger

Deep learning and related machine learning advances have played a central role in AI’s recent achievements, giving computers the ability to be trained by ingesting and analyzing large amounts of data instead of being explicitly programmed.

Cryptocurrencies and Blockchains - How Are They Doing After 10 Years?

Irving Wladawsky-Berger

Bitcoin was created about a decade ago, with the release of the original design paper, Bitcoin: A Peer-to-Peer Electronic Cash System , under the pen name of Satoshi Nakamoto.

Price 163

The Identity Challenge: On the Internet, Nobody Knows You're a Dog

Irving Wladawsky-Berger

I recently read Better Identity in America , a report by the Better Identity Coalition , an organization launched earlier this year to focus on promoting the development and adoption of solutions for identity verification and authentication.

Data 178

What Machine Learning Can and Cannot Do

Irving Wladawsky-Berger

Artificial intelligence is rapidly becoming one of the most important technologies of our era. Every day we can read about the latest AI advances from startups and large companies.

Data 179

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

Irving Wladawsky-Berger

Fewer workers is one of the key reasons for our stagnant economic growth. Over the coming decades, the labor force is expected to shrink in most parts of the world as fertility rates continue to decline, especially in advanced and emerging economies.

Robocalypse Now? Technology, Productivity and Employment

Irving Wladawsky-Berger

Is the Robocalypse upon us?, asked MIT economist David Autor in his presentation at a recent Forum of European central bankers. His presentation was based on a paper co-written with Utrecht University economist Anna Salomons. “Is productivity growth inimical to employment?,”

A Framework for Building AI Capabilities

Irving Wladawsky-Berger

After decades of promise and hype, artificial intelligence has finally reached a tipping point of market acceptance. AI is seemingly everywhere. Every day we can read about the latest AI advances and applications from startups and large companies.

Data 207

Platforms, Blockchains, and the Evolution of Trust

Irving Wladawsky-Berger

“In primitive economies, people traded mostly with members of their village and community,” wrote David Brooks in a June, 2014 NY Times OpEd, - The Evolution of Trust. “Trust was face to face.

Issues 234

Is Blockchain Ready to “Cross the Chasm”? Lessons from the Internet

Irving Wladawsky-Berger

Earlier this year, IBM conducted the largest study to date on the state of adoption of blockchain. The study interviewed almost 3,000 C-Suite executives from over 80 countries and 20 industries to learn about their company’s blockchain plans.

Education, Work and US Leadership in the 21st Century

Irving Wladawsky-Berger

A few weeks ago, the Council on Foreign Relations (CFR) released The Work Ahead - Machines, Skills, and U.S. Leadership in the Twenty-First Century , a report by a CFR-sponsored Task Force to assess the future of work and its implications for the US economy and national security.

Where is Technology Taking the Economy

Irving Wladawsky-Berger

I recently read Where is Technology Taking the Economy? , an article in McKinsey Quarterly by W. Brian Arthur , - External Professor at the Santa Fe Institute , Visiting Researcher at PARC , and former faculty member at Stanford University.

The Evolution of the Firm

Irving Wladawsky-Berger

A few weeks ago I discussed The Rise of the Global Superstar Company based on a recent special report on the subject by The Economist. The report noted that the decade-long trend toward increasingly concentrated global firms is somewhat surprising. .

Cost 271

Is Design Thinking the “New Liberal Arts”?

Irving Wladawsky-Berger

Design thinking has become an increasingly popular topic of discussion over the past decade. It was featured in the September, 2015 issue of the Harvard Business Review with several articles on the subject.

Design 273

Human Beings Need a Story

Irving Wladawsky-Berger

It wasn’t that long ago that we didn’t have much use for probabilities in our daily life, - outside of weather reports, election predictions, baseball and financial markets. But that’s all changed with the growing datafication of the economy and society.

Data 196

Blockchain and the Promise of an Open, Decentralized Internet

Irving Wladawsky-Berger

The January 21 issue of the NY Times Magazine included a very good article, Beyond the Bitcoin Bubble , by science writer Steven Johnson.

Human-Machine Work Teams

Irving Wladawsky-Berger

Will there be enough work in the future? What’s the likely impact of our continuing technology advances on jobs? How will they impact productivity? These are all-important questions to reflect on as our increasingly smart technologies are now being applied to activities that not long ago were viewed as the exclusive domain of humans.

The Challenges of Executing a Transformational Strategy

Irving Wladawsky-Berger

The 2018 MIT CIO Symposium will take place on May 23. This year’s Symposium will be focused on the challenges of executing a digital transformation strategy. It’s no longer enough to have formulated a digital strategy for the business.

The Emergence of a Blockchain-Based Token Economy

Irving Wladawsky-Berger

Blockchain Revolution , published in May of 2016 by Don Tapscott and Alex Tapscott , was one of the first books that explained the promise of blockchain technologies to the general public.

Has AI (Finally) Reached a Tipping Point?

Irving Wladawsky-Berger

After many years of promise and hype, AI seems to be finally reaching a tipping point of market acceptance. Artificial intelligence is suddenly everywhere… it is proliferating like mad.” So starts a Vanity Fair article published around two years ago by author and radio host Kurt Andersen.

Tips 266

The Impact of Automation on Everyday Life

Irving Wladawsky-Berger

This past October, the Pew Research Center released Automation in Everyday Life , a report on what Americans think about advanced technologies like artificial intelligence and robotics, and the impact they expect them to have on their everyday lives.

Survey 194

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

Irving Wladawsky-Berger

How Will AI Likely Impact How We Work, Live and Play?

Irving Wladawsky-Berger

A 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.

System 256

Minds and Machines

Irving Wladawsky-Berger

Data 211

Human + Machine: The Impact of AI on Business Transformation

Irving Wladawsky-Berger

Last week I wrote about the impact of blockchain technologies on business transformation.

Data 175

Artificial Intelligence is Ready for Business; Are Businesses Ready for AI?

Irving Wladawsky-Berger

AI is now seemingly everywhere. In the past few years, the necessary ingredients have come together to propel AI beyond the research labs into the marketplace: powerful, inexpensive computer technologies; advanced algorithms and models; and most important, oceans and oceans of data.

Data 211

Customer Experience - the Key Competitive Differentiator in the Digital Age

Irving Wladawsky-Berger

About five years ago, McKinsey conducted an online survey of over 850 CEOs and other senior executives to find out how their companies were faring in their implementation of digital technologies and strategies.

Survey 173

The Transformative Power of Analytics - The Houston Astros: a Case Study

Irving Wladawsky-Berger

In 2013, the Houston Astros finished the season with a 51-111 record, - the worst record in the history of the franchise, having also lost over 100 games in the previous two years.