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Artificial Intelligence Education Reading

Latest Read: The New Automation Mindset

The New Automation Mindset: The Leadership Blueprint for the Era of AI-For-All by Vijay Tella.

The New Automation Mindset: The Leadership Blueprint for the Era of AI-For-All by Vijay Tella

Vijay Tella is Chief Executive Officer and Co-Founder at Workato. He was the former Vice President, Mobile Video at Skype, and Chief Executive Officer at Qik. Vijay holds a MS in Computer Science from University of California, Los Angeles

The goal of this book is certainly to help organizational leaders understand automation as a blueprint for embracing AI. In fact, a great start to this book begins with the impression of AI and why 90% of AI deployments fail. This will obviously grab the attention of orgnaizational leaders.

Then Vijay addresses Toast. Yes, the credit card service deployed in restaurants, not the one you have with butter at breakfast. This is a service I have deployed and Vijay documents how different Toast is today for restaurants since the pandemic.

In fact, Toast was forced to pivot during the pandemic and as a result became a solid performer and model for other AI vendors to follow. In his outline “Many Restaurants Would Have Been Toast Without Toast” shows the insights recognized and implemented. Vijay returns to Toast’s pivot in the closing chapters.

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Artificial Intelligence Education Reading

Latest Read: HBR’s 10 Must Reads on Leading Digital Transformation

HBR’s 10 Must Reads on Leading Digital Transformation by Harvard Business Review published in January 2021.

HBRs 10 Must Reads on Leading Digital Transformation by Harvard Business Review

This outlines a much needed read on the hot topic of digital transformation. The issue to certainly understand is how this differs from digital disruption. There are several articles that really stand out and make this a valuable read for all organizations regardless of their AI maturity level.

A key must read is Leandro DalleMule and Thomas H. Davenport’s “What’s Your Data Strategy?” This was a bestselling article from HBR. and their article is another can’t miss addressing data. Simply put, in order to remain competitive in a post pandemic world, organizations must manage the quantities of data very carefully.

Perhaps their suggestion of ShadowIT leaving flawed n and duplicate data within an organizations will hamper any true embrace of AI.

In addition they address how organizations must strive to develop a balanced strategy between offensive and defense data management. this is a really great read. Again, looking at a post pandemic world, regardless of marketplace, organizational data must be viewed as a key strategy as we embrace data lakes.

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Artificial Intelligence Education Reading

Latest Read: How to Stay Smart in a Smart World

How to Stay Smart in a Smart World: Why Human Intelligence Still Beats Algorithms by Gerd Gigerenzer.

How to Stay Smart in a Smart World: Why Human Intelligence Still Beats Algorithms by Gerd Gigerenzer

Gerd holds a master of arts and a doctor of philosophy in psychology from the University of Munich. He received the postdoctoral degree of habilitation in 1982. Today Gerd is Director at the Max Planck Institute for Human Development and Director of the Harding Center for Risk Literacy in Berlin.

He is former Professor of Psychology at the University of Chicago and a Distinguished Visiting Professor at the University of Virginia. Gerd is a Fellow of the Berlin-Brandenburg Academy of Sciences and the German Academy of Sciences.

So, Gerd is providing a very compelling case for humans to stay in charge of our current world of algorithms. He is addressing with deep insights the fallacy of current state AI. He does certainly acknowledge the impactful use of AI yet provides an honest view that markets are shaped by companies promising AI as the holy savior of their organization’s marketplace.

In fact, the first part of his book “The Human Affair with AI” really provides a wake up call to all the hype driven by those companies and markets who stand to gain the most.

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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.