Irving Wladawsky-Berger

The 2016 MIT Inclusive Innovation Awards

Several months ago, MIT’s Initiative on the Digital Economy launched its first annual Inclusive Innovation Competition (IIC).  MIT is one of the world’s top research universities, renowned as well for its entrepreneurial culture.  But the objectives of the IIC are quite different and unique.  Instead of competing on creating the most advanced technologies or compelling startups, the IIC is focused on innovations aimed at improving the economic opportunities of middle- and low-income earners around the world.

Applicants competed for $1 million in prizes to be awarded in four main categories: Skills, - how employees were re-skilled for new types of jobs; Matching, - how qualified people were connected to new types of jobs; Humans + Machines, - how technology is used to augment human labor; and New Models, - how new business models revolutionize labor markets and job opportunities.  In each of these categories, the grand prize winner was awarded $125,000, while each of the four runner-ups received $25,000.  In addition, four additional $25,000 Judges Choice Awards were given to organizations deemed by the judges to be uniquely inventive.

I’m a Fellow of the Initiative on the Digital Economy, and served as one of the judges in the competition.  243 applications were received from around the world, from which we selected 24 finalists.  I personally reviewed around 20 applications, and was really impressed not only by their innovative ideas, but also by their courage and determination as they addresed some of society’s toughest problems.

Becoming a Data-Driven Business: Challenges and Opportunities

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 big data all hype?,” asks McKinsey in the report’s introduction.  “To the contrary: earlier research may have given only a partial view of the ultimate impact… the range of applications and opportunities has grown and will continue to expand.  Given rapid technological advances, the question for companies now is how to integrate new capabilities into their operations and strategies - and position themselves in a world where analytics can upend entire industries.”

It’s very hard to anticipate the consequences of disruptive innovations.  Even harder is predicting when the impact will be felt across the economy and society.  It’s often been said that truly transformative innovations are overhyped in the short term but under-hyped in the long term.  Think of electricity and automobiles, the Internet more recently and now big data.

The Transformative Power of Cloud Computing

I was recently involved in two different meetings, each convened by an IT research organization focused on providing strategic advice to CIOs.  My participation in each of the CIO  meetings was in the form of a fireside chat with a senior analyst of the organization.  Given that I’ve closely followed cloud computing over the years, the state of cloud was one of the main topics we discussed.

For a while now I’ve thought of cloud as a new model of computing in the IT world.  For the IT industry, a new computing model is a very big deal.  In the sixty years or so since there’s been an IT industry, this would be only the third such model, centralized and client-server computing being the two previous ones.  Mainframes and PCs were the defining technologies of the centralized model and client-server models respectively.

The Internet is the defining technology of the cloud computing model.  There are clearly other major technologies around us, - e.g., smartphones, IoT, analytics, AI, - but when you think about it, all of them rely on their connections to cloud-based data, applications, and services for much of their functionality.

Cloud computing has gone through three major stages over the past decade: IT-as-a-service in its initial years, then application innovation in it’s next stage, and it’s now just entering the business transformation stage.  Let me say a few words about the first two before turning to business transformation.

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

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.  The report was developed by a study panel of AI experts convened by the One Hundred Year Study of AI (AI100), an initiative launched at Stanford University in December, 2014 “to study and anticipate how the effects of artificial intelligence will ripple through every aspect of how people work, live and play.”  To better understand the future impact of AI on everyday lives, the panel focused the study on the likely influence of AI on a typical North American city by the year 2030.

The report is organized into three main sections.  Section I, - What is Artificial Intelligence?, - describes how researchers and practitioners define AI, as well as the key research trends that will likely influence AI’s future.  Section II looks into AI’s overall impact on various sectors of the economy, while the third Section, examines AI issues related to public policy.

My previous discussion was primarily focused on Section I.  I’d now like to turn my attention to Section II, - AI by Domain.  To help analyze where AI might be heading, the study panel narrowed its explorations to the eight domains most likely to be impacted by AI: