

#335 Sriram Raghavan: Why IBM Is Betting Everything on Small AI Models
Why IBM Is Betting Everything on Small AI Models In this episode of Eye on AI, Craig Smith sits down with Sriram Raghavan, Vice President of AI at IBM Research, to explore one of the most important debates in enterprise AI right now. Do you actually need a massive model to get world class results? IBM's answer is no,…
We score an episode from what we can actually measure — its reach and engagement, what listeners say about it, and what it covers. We don't have those signals for this one yet, so it doesn't get a number.
Buzzmeter says it's buzzing across platforms — the Hive Vote says whether the people who actually listened liked it.
Rate this episode
Add your vote to the Hive — listeners rate every episode after they finish.
- No reviews yet — be the first.
More from Eye On A.I.
See all episodes →
Inside Ukraine's Azov Drone R&D: The Engineer Building AI Weapons 18 km From the Front Line | Alexander Palamarchuk

Inside Ukraine's Drone War: Maj. "Phoenix" of Lasar's Group

From 10 Drones a Month to Nearly 100,000 — Inside Ukraine's Largest Drone Manufacturer | Marko Kushnir, General Cherry
Similar episodes from other shows
More like Eye On A.I. →
Optimizing for efficiency with IBM’s Granite

Context Graphs: AI's Next Big Idea

Chatbots, agents & LLMs: the future of AI where bigger isn’t always better | Kirk Bresniker

EP 34: DeepSeek R1 vs GPT-4: The $6M Model That Changed AI Economics
One great episode in your inbox, daily — free.
One email a day, unsubscribe anytime. No spam, ever.