Artificial Intelligence, a Podcast Approach

In part two of the Data Skeptic Recommender Systems season finale, Kyle asks a deceptively difficult question: what should recommender systems actually optimize for? Drawing on conversations from across the season, the episode explores engagement, filter bubbles, popularity bias, ...  Show more

Where did recommender systems come from, and how do we know when they're actually working? In part one of Data Skeptic's three-part Recommender Systems finale, Kyle traces the field from collaborative filtering and the Netflix Prize to matrix factorization and modern approaches, ...  Show more

Podcast with Gautam Siwach and Jin Vanstee ! Speaker - Elpida Tzortzatos is an IBM Fellow and CTO AI on IBM zSystems. In this Podcast we listen to Elpida's thoughts about driving Artificial Intelligence strategies, associated risks, and Values.We will learn how to drive industry- ...  Show more

In this episode, Jaeden Schafer discusses the current challenges and developments in the AI industry, particularly focusing on the limitations faced by major players like OpenAI and Anthropic. The conversation explores the anticipated improvements in AI models, the predictions fo ...  Show more

Rama Akkiraju joins us to discuss the past, present, and future of AI services and how companies and data scientists can best prepare themselves to become AI consumers. In this episode you will learn: 23 years at IBM, before and after data science [6:11] IBM Watson and AI serv ...  Show more

In our very first podcast we asked the question “Why Does AI Matter?”. So we thought it only fitting as we start our eighth season of AI Today to come back to this topic. In this episode of AI Today hosts Kathleen Walch and Ron Schmelzer discuss whether or not the mood is turning ...  Show more