Scott Clark
12 statements across 2 episodes · 2 bullish · 3 bearish · 1 people on the record · first statement Jan 2, 2019 by Scott Clark · said 3 times in 1 episodes since 2018 · across every show →
On the record as a speaker too: Scott Clark's record, appearances and statements → this page counts the times other people say the name.
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brought up most by Martin Casado (3)
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2018 3 mentions in 1 episode
Everything said about Scott Clark, oldest first
Jan 2, 2019 positive
Jan 2, 2019
Jan 2, 2019 neutral
Clark: Data availability and engineering form the base of AI's needs hierarchy
“The data problem is the first, like, layer in Maslow's hierarchy of AI. Like, you need to actually have the data. Then you need to be able to understand the business context of what you're aiming for and Do a lot of the data engineering to make sure that you c…”
Jan 2, 2019 negative
Jan 2, 2019
Clark: AI will continue to require supervised learning alongside unsupervised paradigms
“I think there's going to be need for all of it, to be honest. When it comes down to solving a very specific business problem like fraud detection, you don't want the algorithm to learn on its own. Just let a lot of fraud through as you slowly come up with an i…”
May 23, 2025
Clark: An AI confidence gap leaves enterprise generative AI in prototypes
“We talked to a lot of firms that are terrified to cross this AI confidence gap from I've developed something that works good in, in, in theory. How do I actually scale it up in practice? And A lot of times we'll talk to individuals who say, every single time I…”
May 23, 2025
Clark: AI adoption faces misaligned incentives between providers and enterprise users
“So one big complication is That sometimes the incentives are misaligned. So open AI obviously wants to create the best general purpose foundational models, but an individual business may want a model that solves a very specific problem a very specific way very…”
May 23, 2025
Clark: Enterprises are moving from generative AI prototypes to centralized platforms
“One thing that we've seen that's really interesting over the last year, year and a half is people have started to shift from kind of science project prototype land where they have a bunch of individual teams trying to roll their own stack and trying to like bu…”
May 23, 2025 negative
May 23, 2025 neutral
May 23, 2025 positive
Clark: System trust, not performance, limits enterprise AI value
“The thing that's holding back people getting value from these AI systems is not performance. It's not about squeezing out that last half a percent from some eval function or some performance metric. It's about being able to confidently trust these systems.”
May 23, 2025 negative
Clark: Expanding RAG datasets with historical data degrades search quality
“And so RAG has obviously become very prevalent in a wide variety of industries and people use it for a lot of different things. We've spoken with different firms that they were like, okay, well, I'm just going to continue to add more and more data to the corpu…”