Artificial Intelligence, a Podcast Approach

Artificial Intelligence, a Podcast Approach

Up next

News Recommendations

News recommendation algorithms influence far more than what stories we click—they can shape our understanding of the world. In this episode, Kyle Polich speaks with Andreea Iana about responsible AI, filter bubbles, multilingual news recommendation, and her open-source NewsRecLib ...  Show more

Give Users the Wheel

What if you could simply tell a recommendation system what you want instead of relying on likes, dislikes, and watch history? Kyle Polich talks with Fuyuan Lyu about the DPR framework, which combines large language models and traditional recommender systems to give users direct c ...  Show more

Recommended Episodes

Why Artificial Intelligence Projects Fail ?
Machine Learning

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

425: The Past, Present, and Future of AI Services
Super Data Science: ML & AI Podcast with Jon Krohn

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

Is the Mood Turning Against AI? [AI Today Podcast]
AI Today Podcast

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