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Nick Elprin

Co-founder and CEO of Domino Data Lab, building platforms for data scientists and reshaping the standards for data science and AI platforms.

Top 3 podcasts with Nick Elprin

Ranked by the Snipd community
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13 snips
Aug 20, 2024 • 1h 14min

811: Scaling Data Science Teams Effectively, with Nick Elprin

Nick Elprin, a data science expert and co-founder of Domino Data Lab, shares his insights on scaling data science teams effectively. He discusses the importance of tailored AI solutions, emphasizing that there's no one-size-fits-all approach. The conversation covers when to integrate AI tools into businesses and the significance of community in navigating the complexities of generative AI. Elprin also reflects on his journey in launching a data science startup and the critical role of mathematics in achieving commercial success.
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8 snips
Jul 4, 2024 • 39min

#223 [Radar Recap] Charting the Path: What the Future Holds for Generative AI

In this engaging discussion, Tom Tunguz, a General Partner at Theory Ventures, Edo Liberty, CEO of Pinecone, and Nick Elprin, CEO of Domino Data Lab, delve into the future of generative AI. They explore emerging trends and the transformative impact AI will have on various industries. The conversation covers challenges in deploying AI technologies, innovations in model training, and the evolving infrastructure needed for success. With insights on productivity enhancement and the importance of skill adaptation, the trio paints an exciting picture of what lies ahead.
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Sep 13, 2024 • 30min

818: In Case You Missed It in August 2024

Shingai Manjengwa, a thought leader on the future of work, discusses the necessity of continuous education in a rapidly evolving job landscape. Daniel Hulme shares insights on structuring AI systems within businesses, while Jerry Yurchisin emphasizes the role of data engineering in a decentralized world. Nick Elprin elaborates on the advantages of decentralization for technology and business, highlighting the transformative power of AI agents in handling complex tasks. Together, they envision a future where learning and adaptability drive organizational success.

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