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Exploring Machine Learning, AI, and Data Science

Candace Gillhoolley on AI and Data Driven Marketing Strategies

Today, we have a special treat for you as we welcome Candice Gillhooley, a dynamic force known for blending technical prowess with marketing brilliance. In this episode, we’ll explore Candice’s groundbreaking approach to “sentient marketing,” dive into the interplay between AI and targeted audience communication, and discuss the importance of understanding behavioral data to craft…

Baruch Lev and Feng Gu on Data Driven Mergers and Why Most Deals Fail

Andy Leonard and Frank La Vigne are joined by experts Baruch Lev and Feng Gu to uncover the complexities and pitfalls of mergers and acquisitions. We’ll discuss the controversial “killer acquisitions” in the pharmaceutical industry, which regulators fear stifle innovation and harm public health. Our guests will share insights from their upcoming book, “The M&A…

Artem Rodichof on Empathetic AI and Its Potential Impact on Gaming and Society

Andy Leonard, and Frank La Vigne are joined by the innovative Artem Rodichof, CEO of Xhuman. Today’s discussion delves into the transformative world of empathetic AI and its potential to reshape our interactions with technology and each other. Artem shares insights from his groundbreaking platform, which creates custom AI personalities that can turn various media…

*LiveStream* Life and Career Updates from a Couple of ex-MVPS

In this episode, we delve into Frank’s new role at Red Hat, where he’s pioneering advancements with Rel AI, an innovative tool for training large language models. Andy shares his latest adventures in Microsoft Fabric training, reflecting on the rapid pace of tech evolution. Along with tech talk, they touch on personal milestones, such as…

Doug Finke on PowerShell, AI, and the future of Small Language Models

In this episode, Doug shares his preference for composition over inheritance in object-oriented programming and his strategic use of design patterns in Visual Basic consulting. He challenges commonly held beliefs about language performance and productivity, arguing that faster languages do not always yield faster results. The conversation also explores the offline benefits of large and…