The Data Exchange with Ben Lorica Ben Lorica
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- Technology
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A series of informal conversations with thought leaders, researchers, practitioners, and writers on a wide range of topics in technology, science, and of course big data, data science, artificial intelligence, and related applications. Anchored by Ben Lorica (@BigData), the Data Exchange also features a roundup of the most important stories from the worlds of data, machine learning and AI. Detailed show notes for each episode can be found on https://thedataexchange.media/ The Data Exchange podcast is a production of Gradient Flow [https://gradientflow.com/].
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Frontiers of AI: From Text-to-Video Models to Knowledge Graphs
Paco Nathan is the founder of Derwen, a boutique consultancy focused on Data and AI. This episode explores recent developments in AI, including text-to-video models like Sora, frameworks for productionizing AI models, analyses of systems like Google’s Gemini, techniques to improve foundation models, AMD’s software innovations for AI acceleration, and knowledge graph augmentations of language models.
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Detailed show notes can be found on The Data Exchange web site. -
Adaptive, Specialized, and Accessible: Where AI Systems Are Heading Next
Jerry Kaplan is the author of the new book “Generative Artificial Intelligence: What Everyone Needs to Know”.
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Detailed show notes can be found on The Data Exchange web site. -
2024 Themes and Trends in AI
This episode is our annual deep dive into the themes and trends of AI in 2024, emphasizing the democratization of AI hardware, advancements in generative AI models, and the integration of AI into various enterprise processes.
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Detailed show notes can be found on The Data Exchange web site. -
The AI Infrastructure Revolution: From Cloud Computing to Data Center Design
Bryan Cantrill, CTO and Co-founder of Oxide Cloud Computer, leads a startup delivering integrated hardware and software solutions for enterprises seeking cloud computing systems with hyperscaler agility. Oxide specializes in vertically integrated, scale-ready cloud infrastructure tailored for mainstream business needs.
Subscribe to the Gradient Flow Newsletter: https://gradientflow.substack.com/
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Detailed show notes can be found on The Data Exchange web site. -
AI in Depth: Transforming Transportation, Enterprise, and Policy
Evangelos Simoudis is a seasoned venture investor and a senior advisor to global corporations, and Managing Director at Synapse Partners, a company that invests in startups developing enterprise applications that exploit Big Data and AI.
Subscribe to the Gradient Flow Newsletter: https://gradientflow.substack.com/
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Detailed show notes can be found on The Data Exchange web site. -
Software Meets Hardware: Enabling AMD for Large Language Models
Sharon Zhou and Greg Diamos are co-founders of Lamini, a startup at the forefront of enabling enterprise adoption of large language models (LLMs). We discussed Lamini’s work with AMD, which focused on closing the gap between AMD hardware capabilities and software integration in LLM applications.
Subscribe to the Gradient Flow Newsletter: https://gradientflow.substack.com/
Subscribe: Apple • Spotify • Overcast • Google • AntennaPod • Podcast Addict • Amazon • RSS.
Detailed show notes can be found on The Data Exchange web site.
Customer Reviews
Indispensable source of information about trends in all things Data
No one monitors the pulse of data trends better than Ben. This pod cast and his other Gradient Flow content are indispensable for those of us in the data world.
Incredible podcast!
This show is designed for people who want to learn, technology, science, data, data science, and AI, and is really helpful. Love this show 😊I'm very excited to hear more of her content !! The quality was really good. Highly recommend subscribing to it!
Really Good Interviews!
This podcast covers a lot of really interesting topics and features a really knowledgeable host. There is so much information out there about Data, Machine Learning, and AI. I still appreciate everything about this production. I suggest it when I can. Keep it up