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What's New In Data
Striim
75 episodes
1 week ago
What if the fastest route to real AI value isn’t training a new model—but learning how to use the ones we already have, better? We sit down with author and professor John K. Thompson to chart a clear path from AI’s roots to practical wins you can ship this quarter, while keeping an honest eye on what stands between today’s LLMs and true AGI. We start with the origin story—from Turing’s early ideas to the Dartmouth workshop—and show why those founding questions still matter. Then we move into...
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All content for What's New In Data is the property of Striim and is served directly from their servers with no modification, redirects, or rehosting. The podcast is not affiliated with or endorsed by Podjoint in any way.
What if the fastest route to real AI value isn’t training a new model—but learning how to use the ones we already have, better? We sit down with author and professor John K. Thompson to chart a clear path from AI’s roots to practical wins you can ship this quarter, while keeping an honest eye on what stands between today’s LLMs and true AGI. We start with the origin story—from Turing’s early ideas to the Dartmouth workshop—and show why those founding questions still matter. Then we move into...
Show more...
Technology
Business
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AI Meets Data Infrastructure: Cost, Performance, and What’s Coming Next — with Barzan Mozafari
What's New In Data
39 minutes
5 months ago
AI Meets Data Infrastructure: Cost, Performance, and What’s Coming Next — with Barzan Mozafari
Barzan Mozafari, CEO of Keebo and former computer science professor, joins us to explore how AI is changing the way data teams work. We talk about the hidden inefficiencies in cloud data platforms like Snowflake and Databricks, how reinforcement learning can automate performance tuning, and why the tradeoff between cost and speed isn’t always what it seems. Barzan also shares thoughts on LLMs, the future of conversational analytics, and what data teams should (and shouldn’t) try to build them...
What's New In Data
What if the fastest route to real AI value isn’t training a new model—but learning how to use the ones we already have, better? We sit down with author and professor John K. Thompson to chart a clear path from AI’s roots to practical wins you can ship this quarter, while keeping an honest eye on what stands between today’s LLMs and true AGI. We start with the origin story—from Turing’s early ideas to the Dartmouth workshop—and show why those founding questions still matter. Then we move into...