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Artificial Intelligence Education Innovation Reading

Latest Read: Beyond Digital

Beyond Digital: How Great Leaders Transform Their Organizations and Shape the Future by Paul Leinwand and Mahadeva Matt Mani.

Beyond Digital: How Great Leaders Transform Their Organizations and Shape the Future by Paul Leinwand

Paul is Global Managing Director with Strategy& and is a principal with PwC US. He is an adjunct professor of strategy at Northwestern’s Kellogg School of Management and has served as an adviser to many nonprofit organizations. He holds a Masters in Management from Kellogg.

Mahadeva Matt Mani leads the PwC/Strategy& transformation platform. He is also a principal with PwC US. Matt holds a Masters in international public policy from Johns Hopkins University.

In Beyond Digital, Paul and Matt take readers on a deep dive across 12 organizations to learn how to succeed in navigating the challenges of digital transformation. And by digital, they address the following: the internet is 50 years old, IBM’s PC was introduced 40 years ago, Apple is 45 while even Google is 25. Getting ‘to’ digital is not enough anymore. especially in a post pandemic world. Paul and Matt are focusing on the new forms of digital competitive advantages. Your organization may feel like it is in the game, but perhaps you’re on the sideline. Some organizations may even be watching from the stands. they just do not realize how they missed their digital transformation.

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Artificial Intelligence Education Innovation Reading

Latest Read: Work without Jobs

Work without Jobs: How to Reboot Your Organization’s Work Operating System by Ravin Jesuthasan and John W. Boudreau.

Work without Jobs: How to Reboot Your Organization’s Work Operating System by Ravin Jesuthasan and John W. Boudreau

John Boudreau is Professor Emeritus of Management and Organization and a Senior Research Scientist with the Center for Effective Organizations at the University of Southern California. He holds a Masters and PhD from Purdue University in Industrial Administration.

Ravin is Senior Partner and Global Leader for Transformation Services at Mercer. Previously he was a Managing Director at Willis Towers Watson. He holds an MBA from Western Michigan University and is a Part-time Lecturer at Caltech’s Executive Education Program.

As a follow up to Reinventing Jobs, Ravin and John provide deeper insights for organizations to succeed deploying AI services. Reinventing Jobs certainly revealed the impact of deconstructing ‘work’ to address how to optimize workforce tasks.

However, Work without Jobs is addressing what America has long understood the term “job” and workers hired to perform “tasks” that now clash in the age of AI.

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Artificial Intelligence Education Innovation Reading

Latest Read: Power and Prediction

Power And Prediction: The Disruptive Economics of Artificial Intelligence by Ajay Agrawal, Joshua Gans, and Avi Goldfarb. In a direct follow up to their book Prediction Machines: The Simple Economics of Artificial Intelligence,

Power And Prediction: The Disruptive Economics of Artificial Intelligence by Ajay Agrawal, Joshua Gans, and Avi Goldfarb

Ajay Agrawal is an economics professor at the University of Toronto’s Rotman School of Management as well as the Professor of Strategic Management.

Joshua Gans is a Professor of Strategic Management at the University of Toronto’s Rotman School of Management. Joshua is also Chief Economist of the University of Toronto’s Creative Destruction Lab.

Avi Goldfarb is the Chair in Artificial Intelligence and Healthcare and Professor of Marketing at the Rotman School of Management, University of Toronto. Avi is also Chief Data Scientist at the Creative Destruction Lab, Senior Editor at Marketing Science, and a Research Associate at the National Bureau of Economic Research. In addition, Avi’s research focuses on the opportunities and challenges of the digital economy.

Ajay, Avi, and Joshua once again are delivering deep insights into AI prediction and the impacts upon business and society are outlined. Both good and bad. In fact, organziations need to fully understand the impacts.

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Artificial Intelligence Education Innovation Reading

Latest Read: Prediction Machines

Prediction Machines: The Simple Economics of Artificial Intelligence by Ajay Agrawal, Joshua Gans, and Avi Goldfarb.

Prediction Machines: The Simple Economics of Artificial Intelligence by Ajay Agrawal, Joshua Gans, and Avi Goldfarb

Ajay Agrawal is an economics professor at the University of Toronto’s Rotman School of Management as well as the Professor of Strategic Management.

Joshua Gans is a Professor of Strategic Management at the University of Toronto’s Rotman School of Management. Joshua is also Chief Economist of the University of Toronto’s Creative Destruction Lab.

Avi Goldfarb is the Chair in Artificial Intelligence and Healthcare and Professor of Marketing at the Rotman School of Management, University of Toronto. Avi is also Chief Data Scientist at the Creative Destruction Lab, Senior Editor at Marketing Science, and a Research Associate at the National Bureau of Economic Research. In addition, Avi’s research focuses on the opportunities and challenges of the digital economy.

Ajay, Avi, and Joshua are certainly diving deep into the disruptive and transformational world of decision making. They are framing AI as a prediction tool. Perhaps most important is today’s economies of scale make this very inexpensive yet is not designed to remove or replace humans from their jobs. Yet the impact of AI will be far reaching across industries, work and the daily lives of global citizens.

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Artificial Intelligence Education Globalization Innovation Reading

Latest Read: Atlas of AI

Atlas of AI: Power, Politics, and the Planetary Costs of Artificial Intelligence by Kate Crawford. Kate has a PhD from the University of Sydney. Kate is a research professor of communication at USC, senior principal researcher at Microsoft Research, and an honorary professor at the University of Sydney.

Atlas of AI: Power, Politics, and the Planetary Costs of Artificial Intelligence by Kate Crawford

She is the inaugural Visiting Chair for AI and Justice at the École Normale Supérieure in Paris, where she co-leads the international working group on the Foundations of Machine Learning. In 2021, she received the Miegunyah Distinguished Visiting Fellowship at the University of Melbourne.

Furthermore, Kate co-founded multiple interdisciplinary research groups including FATE at MSR, AI Now Institute at NYU, and Knowing Machines at USC. Kate has advised policy makers in the United Nations, the Federal Trade Commission, the European Parliament, the Australian Human Rights Commission, and the White House. Atlas of AI was named one of the best books on technology in 2021 by the Financial Times.

Kate is certainly delivering a powerful book addressing hidden costs of artificial intelligence. The list is rather lengthy, detailed and must not be overlooked. From natural resources, labor exploitation, failures of privacy in massive data collections, to undemocratic governance this is certainly eye opening. She is certainly revealing the cost of AI both upon the earth’s mining sites and factories, to snake oil salesmen exploiting workers in third world countries who ‘act as the ai’ in their products.