Tag: Artificial Intelligence

Latest Read: Leading with AI and Analytics

Post author By Don Kasprzak
Post date January 24, 2024

Leading with AI and Analytics: Build Your Data Science IQ to Drive Business Value by Eric Anderson and Florian Zettelmeyer.

Eric is Professor of Marketing, former Chair of the Marketing Department and Director of the Kellogg-McCormick MBAi Program at Northwestern University. He holds a PhD in Management Science from MIT and has taught previously at the University of Chicago and the University of Rochester.

Florian is Professor of Marketing at Northwestern University and directs the Program on Data Analytics. He holds a PhD in Marketing from MIT and previously taught at the University of California at Berkeley, while also briefly working at McKinsey. He is a senior science leader at Amazon leading their Advertising Economics organization.

A very well written book with a targeted audience for organizational leadership. This wonderful introduction is addressing AI and business analytics for leaders who actually rely upon senior managers to execute analytics for their organization.

Perhaps no better example of establishing a comprehensive plan to deploy an Artificial Intelligence Analytics (AIA) Framework. In fact, the key for organizational leadership is to understand what is going on with your data. Ultimately this will provide insights to support any organization’s integration of AI services within their digital transformation.

Tags Artificial Intelligence, data science, Eric Anderson, Florian Zettelmeyer, Leading with AI and Analytics

Artificial Intelligence Education Reading

Latest Read: Unmasking AI

Post author By Don Kasprzak
Post date January 17, 2024

Unmasking AI: My Mission to Protect What Is Human in a World of Machines by Joy Buolamwini.

Joy is a computer scientist and digital activist based at the MIT Media Lab. She founded the Algorithmic Justice League. She is a Rhodes Scholar, a Fulbright fellow, a Stamps Scholar, an Astronaut Scholar, and an Anita Borg Institute scholar. Joy holds a Masters and PhD in Media Arts & Sciences from MIT.

Unmasking AI is Joy’s memoir regarding her graduate work at Harvard. Joy is introducing her project regarding facial recognition. She realized her own face could not be identified unless she actually placed a white Halloween mask in-front of her face as a camera captured and attempted to identify her.

However, her work contributes to demonstrating the in accuracy of AI. Joy research is indeed like Dorthy in The Wizard of Oz, pulling back the curtain on the inaccuracies of AI facial recognition systems. And to some extent, also exposing the growing wealth of companies profiting from these already deployed.

Yet when informing her thesis committee that bias in AI has the potential to harm women and minorities, the perception includes many do not want to acknowledge these errors. Joy even receives feedback which questions the level of harm faulty facial recognition, and if is actually ‘significant’ enough to warrant this research.

Tags Artificial Intelligence, Bias, Joy Buolamwini, Unmasking AI

Artificial Intelligence Education Reading

Latest Read: Data for All

Post author By Don Kasprzak
Post date January 13, 2024

Data for All by John K. Thompson. Today John is Global Head of AI at Ernst & Young. He was an executive partner at Gartner, and he was responsible for the advanced analytics business unit of the Dell Software Group. He holds an MBA from DePaul University.

In fact, John has very extensive data advisory experience including: Curriculum Advisory Board Member, AI Bootcamp Host with The Mark Cuban Foundation, Advisory Board Member Masters & Undergraduate Programs in Business Analytics at The University of Texas at Austin, Advisory Board Member Masters in Data Science Program Oklahoma State University, Executive Advisory Board: AI, Data Science & Computer Science at Oakland University, Nittany AI Challenge: AI for Good at Penn State University, and Advisory Board Member Dearborn AI Research (DAIR) Center at The University of Michigan.

So, data brokers are firms who buy and sell your data. In fact, you do not receive a single penny for all of your online activity. Data Brokers somehow are the owners of your online activity and certainly profit from your web browsing, e-commerce transactions and app activity including notifications. Remember Facebook posted $116 Billion in revenue for 2023.

John is outlining how your data is harvested and ultimately how you are exploited. He is providing a valuable resource to empower users to learn how their parties monetize your data. Many readers may simply be unaware that all your online actions create permanent records of your activity.

Tags Artificial Intelligence, Data Broker, Data for All, John K. Thompson, privacy

Artificial Intelligence Education Reading

Latest Read: HBR’s 10 Must Reads 2024

Post author By Don Kasprzak
Post date January 1, 2024

HBR’s 10 Must Reads 2024: The Definitive Management Ideas of the Year from Harvard Business Review

Perhaps no better way to close 2023 than by digesting HBR’s 10 Must Reads 2024. These articles are a great overview to insights by authors over the last year. Digital transformation is the most impactful as organizations are jumping into AI in markets still impacted by the pandemic.

This actually leads with a challenge for leaders. In “Managers Can’t Do It All” the combination of reengineering, digitization, AI initiatives and the lingering pandemic remote work efforts, the idea of what any “manager” role today has been completely altered.

Organizations must now realize that hiring new managers into your organization require making teams more successful than in the past, prior to the pandemic. their role in coaching has also dramatically changed.

To succeed, organizations must re-define a manager’s role. Case studies with Standard Chartered, IBM, and Telstra reveal these organizations help managers develop new skills, alter long standing processes yet also redefine roles and responsibilities in order to strengthen new organizational priorities.

Tags Artificial Intelligence, digital transformation, Harvard Business Review, HBR’s 10 Must Reads 2024, Innovation, Management Ideas

Artificial Intelligence Education Innovation Reading

Latest Read: Gödel, Escher, Bach

Post author By Don Kasprzak
Post date December 30, 2023

Gödel, Escher, Bach: An Eternal Golden Braid by Douglas R Hofstadter. Douglas is a cognitive and computer scientist. He holds a Ph.D. in physics from the University of Oregon.

This book published in 1979 won both the Pulitzer Prize for general nonfiction and a National Book Award for Science.

There have been so many references to this book that it remains difficult to compile. So, in short, Melanie Mitchell’s book Artificial Intelligence: A Guide for Thinking Humans outlines her collaboration with Douglas in writing CopyCat.

Since publication 45 years ago, I would certainly suggest listening to the The Episodic Podcast book review episode. I found that listening to a chapter review before reading the chapter helped me digest Douglas’ insights. Then after re-listened to the chapter for a full understanding. While this is certainly rare to recommend, it helped me better understand this book.

I have been digesting a series of resources regarding this book. In Google’s podcast interview with Melanie, she acknowledges visiting Google’s AI team with Douglas and learning his book is required reading.

So, Douglas is exploring the work of logician Kurt Gödel, artist M. C. Escher, and composer Johann Sebastian Bach. He expands beyond their creative concepts in mathematics, symmetry, and intelligence. In fact, Douglas is revealing his analysis is actually not about their amazingly creative work, but instead is illustrating how cognition emerges.

Tags Artificial Intelligence, Douglas Hofstadter, Gödel Escher Bach