Generation AI

Sean Anderson

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Welcome to Generation AI, where we go deep down the rabbit hole of emerging and burgeoning AI tech. On this podcast, we speak with practitioners, thought leaders, and industry navigators to get to the truth behind the hype of this AI emergence. Our hosts are Sean Anderson and Ofer Mendelevitch and a rotation of special guests.

2025/09/25

Generation AI Podcast Episode #13 Matt Abrams

In this episode of the Generation AI Podcast, hosts Sean Anderson and Ofer Mendelevich sit down with Matt Abrams, a technologist, investor, advisor, speaker, and outdoor adventurer whose mission is to inspire startup founders and executives to think bigger and bolder. The conversation begins with Matt’s vision for building “a billion for trust,” and quickly expands into the pressing challenges and opportunities that generative AI brings to society. Together, the group explores the balance between innovation and regulation, examining whether government oversight can truly keep pace with AI’s rapid evolution. They discuss the influence of global players such as China’s DeepSeek R1, the shifting dynamics in Washington and Europe, and the role of incentives in shaping big tech’s approach to AI safety. The conversation also dives into the risks of hallucinations in AI systems, especially in healthcare and financial services. This episode provides a candid and insightful look at how we can build AI that truly serves society.
2025/06/21

Generation AI Podcast Episode #12 Alison Cossette

Alison Cossette is a dynamic Data Science Strategist, Educator, and Podcast Host. She is a Developer Advocate at Neo4j specializing in Graph Data Science, and brings a wealth of expertise to the field. Alison actively promotes ethical and transparent AI practices and believes in the transformative potential of responsible AI for industries and society. In this episode, we chat with Alison about the practical use of Graph Databases and Graph RAG. Alison paints some vivid scenarios that help us frame the utility of graphs for knowledge work. We also discuss emerging architectures in data management that include vector, graph, and relational RAG. Alison is a great captain in this journey into the future.
2024/12/16

Generation AI Podcast Episode #11 Kara Peterson and Rich DiBona

In this episode, we welcome Kara Peterson and Rich DiBona, founders of descrybe.ai, a justice tech startup aimed at democratizing access to the law. Kara is a marketing and business development leader with a strong emerging following in the Legal AI space and is being hosted by the National Law Review as one of the hottest legal tech companies in 2025. Rich is the tech side of descrybe.ai and comes from a software engineering background, where he worked on architecture and scaling with large amounts of data. Kara and Rich discuss with us the most pressing ideas in the legal AI space, including the trustworthiness of answers and how observability and explainability are so important in legal AI use cases. Our guests also share their vision of how generative AI can enable social change by quickly identifying precedence in cases, which can save operational and administrative costs to people employing these legal services. Will AI create a more equitable future for the legal space? Join the podcast and find out!
2024/11/07

Generation AI Podcast Episode #10 Ayush Garg

Ayush Garg is the founder of AnswerThis.io. He is passionate about reimagining how science is conducted. His journey started with making tools like pygetpapers and docanalysis that scaled to over 50,000 researchers and has since evolved into building AnswerThis. Ayush discusses his approach to building retrieval systems over the years, addressing issues like observability and citations. He dictates his future LLM wishlist, and we have a blast with our rapid-fire questions. We think you will enjoy Ayush's experience in AI development.
2024/08/26

Generation AI Podcast Episode #9 Tobias Lunt

This month, we sat down with Tobias Lunt, another amazing presenter from this year’s Data Council Lightning Talks. Tobias is using LLMs at Development Data Lab to analyze, expose, and combat gender inequality and understand the impact of societal norms. He has a unique perspective on how academia and the public sector view data science tooling in relation to the commercial landscape. Tobias puts into perspective the “big” nature of data in his line of work and talks about the meteoric rise in LLM accuracy that we are seeing in the space but also cautions us about the false artifacts that can still be present in RAG systems and with manually defined data sets. We hope you enjoy finding out more about what Tobias and his team are up to.
2024/05/03

Generation AI Podcast Episode #8 Amber Roberts

This month, we chat with Amber Roberts, Senior Technical PMM from Arize AI. We met Amber this year at the Data Council conference, where we learned a lot about the concepts around LLM Observability during her great presentation. We wanted to dive a bit deeper on the podcast. Amber chats with us about the foundational pillars of LLM observability including traces and spans and RAG/fine-tuning, the role of drift in LLMs, and how you can evaluate attributes like fairness and rudeness. Learn more about all the great projects and classes that Amber is leading and hear more about the Data Council conference. Links: Arize Community Arize Phoenix HomePage Phoenix Github
2024/03/01

Generation AI Podcast Episode #7 Ofer Mendelevitch

This month, we tried something different and sat down with my co-host, Ofer Mendelevitch, to get his hot takes on topics like vector databases, agents, and fine-tuning. Ofer has a storied career in Big Data, machine learning, and AI. An in-demand speaker and community champion, Ofer is active in the ecosystem as the Head of Developer Advocacy @ Vectara. Don't miss this chance to get to know Ofer and pay witness to his unique AI forecasts.
2024/01/22

Generation AI Podcast Episode #6 Ram Sriharsha

It's a new year, and we are back with more episodes of the Generation AI podcast. This month, we are joined by VP of Engineering Ram Sriharsha of Pinecone. Ram discusses many aspects of vector databases and LLMs, including Hybrid Search and both sparse and dense retrieval. RAM lays out his mission to make vector search less complex and easier to leverage for every organization and marching towards the science of RAG.

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Welcome to Generation AI, where we go deep down the rabbit hole of emerging and burgeoning AI tech. On this podcast, we speak with practitioners, thought leaders, and industry navigators to get to the truth behind the hype of this AI emergence. Our hosts are Sean Anderson and Ofer Mendelevitch and a rotation of special guests.

クリエイター

Sean Anderson
配信期間

23年 - 25年
エピソード

14
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© Sean Anderson
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Generation AI