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Artificial Intelligence Education Innovation Reading

Latest Read: Artificial Intelligence Basics

Artificial Intelligence Basics: A Non-Technical Introduction by Tom Taulli. He holds a Bachelor of Business Administration from California State Polytechnic University-Pomona. Tom has written for BusinessWeek, TechWeb, Bloomberg and AI articles for Forbes.

Artificial Intelligence Basics: A Non-Technical Introduction by Tom Taulli

With Artificial intelligence and subsets continuing to grow in capabilities and deployments, I am always pleased to find titles to share with organizational leaders to bring them up to speed on AI.

Tom is accurate in sharing that AI has in fact rapidly expanded beyond smart speakers and digital assistants to become a general-purpose technology. As such this has been echoing across virtually all industries and markets.

So understanding AI’s possibilities for your organization is more critical today. In less than six months, OpenAI launched Generative AI service ChatGPT into the stratosphere. But it also arrives with much needed safety measures.

Artificial intelligence touches nearly every part of your day. While you may initially assume that technology such as smart speakers and digital assistants are the extent of it, AI has in fact rapidly become a general-purpose technology, reverberating across industries including transportation, healthcare, education, government, financial services, use to identify a few. In our modern era, an understanding of AI and its possibilities for your organization is essential for growth and success in a fast changing and competitive marketplace.

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Artificial Intelligence Education Innovation Reading

Latest Read: The AI Factor

The AI Factor: How to Apply Artificial Intelligence and Use Big Data to Grow Your Business Exponentially by Asha Saxena. Asha holds a Masters in Data Science and Machine Learning from Southern Methodist University.

The AI Factor: How to Apply Artificial Intelligence and Use Big Data to Grow Your Business Exponentially by Asha Saxena

Asha is an Adjunct Professor in the Department of Health Policy and Management at the Mailman School of Public Health at Columbia University. Above all, Asha is the Founder and CEO of Women Leaders in Data and AI (WLDA). She has served as CEO and Chairperson of Future Technologies Inc., a data management firm that provided warehousing, analytics, and intelligence services.

The AI Factor is addressing a roadmap business leaders can understand while beginning their organization’s AI digital transformation. In fact, Asha provides a great introduction that will resonate with companies: Micheal Lewis’ Moneyball which tells the story of the Oakland A’s use of data analytics to find success as a small market baseball team competing against teams in huge metrpolitean areas across the country.

Asha is writing about AI transformations at Netflix and Starbucks. For instance, the key element for both companies was their extensive deployment of data analytics which provided a key advantage of their competitors. Netflix has fully embraced data analytics versus Blockbuster. Besides, this transition was at the right time. Broadband was beginning to deliver on the promise of the internet and tip the scales for amazon to continue launching into the giant they have become.

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Artificial Intelligence Education Innovation Reading

Latest Read: How Data Happened

How Data Happened: A History from the Age of Reason to the Age of Algorithms by Chris Wiggins and Matthew L. Jones.

How Data Happened: A History from the Age of Reason to the Age of Algorithms by Chris Wiggins and Matthew L. Jones

Chris is an associate professor of applied mathematics at Columbia University and the Chief Data Scientist at The New York Times. He holds a Ph.D. from Princeton in theoretical physics, and in addition, is a founding member of the executive committee of the Data Science Institute, and of the Department of Systems Biology. Chris is also co-founder and co-organizer of hackNY.

Matthew Jones is a professor of History at Princeton. He holds a Master in philosophy from Cambridge University and Ph.D. from Harvard. While at Columbia, Matthew and Chris taught a class regarding data. Their work is tracing the history of data back to the 18th century. At that time European states began manipulating physical resources.

They see the rise of data and early statistical methods were indeed used to justify eugenics. In fact, this misled some in the late 1800s to believe data could quantify race differences. Unsurprisingly those same European countries used data to develop military and industrial applications.

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Artificial Intelligence Education Innovation Reading

Latest Read: The Datapreneurs

The Datapreneurs: The Promise of AI and the Creators Building Our Future by Bob Muglia and Steve Hamm.

The Datapreneurs: The Promise of AI and the Creators Building Our Future by Bob Muglia and Steve Hamm

Bob spent 23 years at Microsoft starting the SQL Server business. He managed the Visual Studio, Office, and Windows Server Divisions. From 2007 to 2011 he was President of Microsoft’s Server & Tools Division. He departed for short stays at Juniper and Snowflake. Today Bob serves as a board member at several AI startups: Fivetran, Fauna, Docugami, Julia Computing, and RelationalAI.

The Datapreneurs should have been split into two books. The first (and highly recommended) would be a history of database technology. Bob is providing amazingly experiences and insights tracing database services back to the early 1950s. He would certainly provide learning experiences from his role at Microsoft. Many will be benefitting from his working knowledge of data. It helps explain the fast changing database marketplace we see today. He is certainly accurately mapping the modern data stack. Regrettably, the second book would address hyping AI startups where one has a financial stake as a board member, consultant, or advisor.. His implicit bias clearly obscures their AI service and reputation.

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Artificial Intelligence Education Innovation Reading

Latest Read: Spies, Lies, and Algorithms

Spies, Lies, and Algorithms: The History and Future of American Intelligence by Amy Zegart. Amy holds a Ph.D. in Political Science from Stanford University. Dr. Zegart is an associate professor at UCLA’s School of Public Affairs.

Spies, Lies, and Algorithms: The History and Future of American Intelligence by Amy Zegart

Amy previously served on the Clinton administration’s National Security Council staff in 1993 and as a foreign policy advisor to the Bush-Cheney 2000 presidential campaign.

She has testified before the Senate Select Committee on Intelligence and has provided training to the Marine Corps, the Office of the Director of National Intelligence, and Lawrence Livermore National Laboratory.

So, it is no surprise US intelligence does not publicly address their embrace of AI for obvious reasons. Amy is documenting the use of technology including AI in the world of espionage. US intelligence has the challenge of confronting the James Bond 007 effect when confronting both public opinion and the growing role misinformation.

Amy is providing a historical view of US intelligence and their embrace of technology. She is also offering a future view of American espionage in a world of advanced AI. This is a very interesting read to discover an overview to US intelligence and the history of fatal biases and misunderstood analytics. Yet, Amy is outlining how today’s technology empowers both old 3rd world and new enemies. Technology has also empowered citizens to use web services to track nuclear threats. This was unheard of during the Cold War.

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