AI News, BOOK REVIEW: Irving Wladawsky artificial intelligence

Cornell-r4 AI Announcement - r4 Technologies

Cornell University and r4 have announced a wide-ranging collaboration focused on applying artificial intelligence (AI) to new domains.

The partnership will develop and apply AI solutions to structural challenges that have traditionally hindered growth and modernization in both the private and public sectors, and will train a new generation of students to thrive in a data-driven world.

The Initiative will focus on developing AI solutions to large scale industrial and societal challenges, and developing new courses that bring AI and data science to a much broader range of students across the university.  The partnership’s core goals are: As part of the collaboration, selected research areas will be led by Cornell faculty and graduate student teams, who will work closely with r4 and industry partners.

The Initiative plans to address problems in consumer retail, supply chain management, and forecasting while looking at broad societal challenges in optimizing the food chain to better align with predicted local demand patterns – thereby improving profitability for producers and retailers while also reducing food waste.

Time to Get Comfortable with Artificial Intelligence

Hollywood loves artificial intelligence (AI) because it can be used to create both wonder and fear in movie audiences.

The type of AI most often depicted in movies is artificial general intelligence (AGI) — sentient machines that could decide humankind is either a nuisance or a threat (think HAL 9000 or Skynet).

In fact, Brian Burke, a Research Vice President at Gartner, predicts “80 percent of emerging technologies will have a foundation in AI by 2020.”[1] For years, artificial intelligence was divided into two categories: weak and strong.

After reading a study published by PwC, he concludes, “Companies slow to adopt AI-based productivity improvements be warned: Artificial intelligence is the biggest commercial opportunity for companies, industries and nations over the next few decades.”[2] He adds, “[According to the PwC study,] AI advances will increase global GDP by up to 14% between now and 2030, the equivalent of an additional $15.7 trillion contribution to the world’s economy.”

He explains, “Most all companies and businesses are in the battle zone, and merely resting on new shiny platforms is not enough — push harder to move to disruptive AI platforms and adopt disruptive processes.”

AI front-runners will gain an enormous competitive advantage through their ability to leverage this rich supply of customer data to shape product developments and business models, making it harder for slower moving competitors to catch up.”

Particularly with AI, some organizations have set their sights on grand ambitions but underestimated the length of time, monetary commitments, and patience required to realize them.”[4] Regardless of the fact the going may be slow, Gownder encourages companies to start investing in and experimenting with AI.

The steps to reach a mature level where organizations are fully equipped with the right talent, have adequate and secure infrastructure where they have access to developing custom-build algorithms, and an executive board that is not only aware but actively supportive of this transformation seems daunting.”

Irving Wladawsky-Berger (Full Interview)

Irving Wladawsky-Berger, Research Affiliate at MIT's Sloan School of Management, talks about his past and artificial intelligence with Ed Amoroso. SUBSCRIBE ...

Imagination as a Journey of Survival and Discovery | Irving Wladawsky-Berger | TEDxWestportLibrary

Irvin Wladawsky-Berger uses the story of IBM's ability to reinvent itself as a blueprint for how all institutions, especially libraries, can remain relevant. Irving ...

2017-19 Trusted Data: The Role of Blockchain, Secure Identity, and Encryption

Enterprises are finally taking security seriously and beginning to adopt the next generation of technology: distributed ledgers ("blockchain"), secure identity ...

The Next Grand Challenge in Computing

The Next Grand Challenge in Computing, moderated by Dr. Irving Wladawsky-Berger, Chairman Emeritus, IBM Academy of Technology.

Creating nanomedicine with the crowd | Sabine Hauert | TEDxWarwick

Dr. Sabine Hauert is a Swarm Engineer at the University of Bristol and Bristol Robotics Laboratory, where she designs swarms of nanobots for biomedical ...

The Next Grand Challenge in Computing

The Next Grand Challenge in Computing, moderated by Dr. Irving Wladawsky-Berger, Chairman Emeritus, IBM Academy of Technology.

The End of Employment (trailer)

Technological unemployment (job loss and underemployment created by the ripple effects of innovation) is likely to become one of the greatest challenges ...

David Ferrucci.MOV

Watson Symposium.

Bob Picciano on Unlocking Value through the Internet of Things

At the CIO Leadership Exchange in Chicago on June 15 - 16th, Bob Picciano, Senior Vice President, IBM Analytics discusses data-rich products and services.

Ginni Rometty and Marcelo Claure on “One-on-one” Marketing

At the CIO Leadership Exchange in Chicago on June 15 - 16th, IBM Chairman, President, and CEO, Ginni Rometty, sat down with Sprint CEO, Marcelo Claure ...