Category: Artificial Intelligence

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Latest Read: Reinventing Jobs

Reinventing Jobs: A 4-Step Approach for Applying Automation to Work by Ravin Jesuthasan and John Boudreau.

Reinventing Jobs: A 4-Step Approach for Applying Automation to Work 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.

So, the drumbeats of AI have certainly peaked within 2023. Today ChatGPT is just 13 months old. And while the company is showing its age the impact upon society and business is now at a crossroads.

Accordingly for all the hype of Generative AI, organizations simply do not know how to deploy AI solutions. There are failed AI deployments within 2023. While much of the attention has certainly been to the lack of security and privacy within ChatGPT, the most important aspect for any organizations is confronting AI’s digital disruption including the impact upon employees.

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Artificial Intelligence Education Innovation Reading

Latest Read: Enterprise AI Transformation

Enterprise Artificial Intelligence Transformation by Rashed Haq. Rashed is an AI and robotics technologist. He is Vice President of Robotics at Cruise. He holds masters degrees in both Mathematics and Physics, and a PhD in Physics from the University of Oregon.

Enterprise Artificial Intelligence Transformation by Rashed Haq

Previously Rashed served as the Global Head of AI & Data and Group Vice President at Publicis Sapient. At Oregon he conducted research in physics at the Los Alamos National Lab and the Institute for Theoretical Science. He has previously served on the AI Advisory Board of the Computing Technology Industry Association (CompTIA).

There can be no question that since the launch of ChatGPT in November 2022 that AI is everywhere and over the past 12 months along has very quickly been adopted by consumer’s daily lives.

This is AI’s tipping point. So, how will organizations begin to adopt AI services and the workers needed to deliver these services efficiently? Rashed is outlining how organizational leaders need insights to understand, plan, and deploy a custom set of AI services.

In fact, when executed correctly, AI will indeed bring new value to organizations regardless of marketplace. Here Rashed delivers a solid overview of AI and also addresses the impacts of machine learning.

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Artificial Intelligence Education Reading

Latest Read: HBR’s 10 Must Reads on AI

HBR’s 10 Must Reads on AI by Harvard Business Review. If you read nothing else on AI and machine learning, start here.

HBR’s 10 Must Reads on AI by Harvard Business Review

This new release (September 2023) is certainly providing the most insightful articles by Tom Davenport, Marco Iansiti, Tsedal Neeley, and Ajay Agrawal. Each article is presented with three ideas: Problem, Causes, and Solutions.

The collected insights provided a cornerstone for understanding AI and the methods to deploy across any organization.

Perhaps ChatGPT Is a Tipping Point for AI by Ethan Mollick is a perfect article to convey how this service, less than 18th months old is this generation’s Netscape Navigator killer app.

The most important lesson: several articles have been expanded into published books that I find to be must reads. Organizations must digest their writing in order to fully understand the current world of AI.

To that end, today’s highly connected internet is much more robust than it was 30 years ago when the browser appeared and forever changed the world. But threats by foreign countries and organizations that push misinformation will confuse many. That is the difference to Netscape’s introduction.

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Artificial Intelligence Education Innovation Reading

Latest Read: Strategy in the Digital Age

Strategy in the Digital Age: Mastering Digital Transformation by Michael Lenox. Michael is professor of business administration at the University of Virginia. He was also a visiting professor at Oxford University, Harvard University, and Stanford University.

Strategy in the Digital Age: Mastering Digital Transformation by Michael Lenox

Michael holds a Bachelors in systems engineering from University of Virginia, Masters in Systems Engineering from University of Virginia, and a Ph.D. in Technology Management and Policy from Massachusetts Institute of Technology.

Without a doubt, digital transformation is certainly addressing more than just servers to gather and process data. Michael is focusing upon how digital technologies are creating innovative services and products for organizations. However he is accurately able to outline how organizations can establish new competitive advantages.

So, to be successful organizational leaders much understand how to create value. Strategy in the Digital Age is certainly outlining critical needs to address to ensure the larger impacts of a complete roadmap for organizations. Many will ask how do I utilize digital technology to create value and improve our organization?

Michael is even sharing how his role at Virginia allowed for the University to engage in a successful transformation for the School of Business.

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Artificial Intelligence Education Innovation Reading

Latest Read: The Deep Learning Revolution

The Deep Learning Revolution by Terrence Sejnowski. He holds both a Masters and PhD in physics from Princeton University. Today he is a professor at The Salk Institute for Biological Studies and directs the Computational Neurobiology Laboratory.

The Deep Learning Revolution by Terrence Sejnowski

He is also Professor of Biological Sciences and Adjunct Professor in the Departments of Neurosciences, Psychology, Cognitive Science, and Computer Science and Engineering at the University of California, San Diego where he is Director of the Institute for Neural Computation.

Terry was an Investigator at the Howard Hughes Medical Institute from 1991 to 2018. In addition, he founded Neural Computation, a journal in neural networks and computational neuroscience published by the MIT Press. He is also the President of the Neural Information Processing Systems Foundation.

In fact, Terry is only one of three living people to have been elected to all four of the national academies: The National Academy of Medicine, Member of the National Academy of Sciences, The National Academy of Engineering and the National Academy of Inventors.

So, Terry is sharing his story how deep learning began and is today used in driverless cars to personal assistants. Deep Learning is changing our lives and transforming the world. Deep learning can play poker better than professional poker players and has also defeated a world champion at Go. It should be noted when Google’s Deep Mind defeated Ke Jie, it served as China’s Sputnik moment.

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