“Especially with agents, it's, you don't start there. It doesn't start with an agent. There's a whole different process that kind of gets us into that set of capabilities.”
quote is from the automated transcript, cleaned for reading:
filler sounds and stutters are removed, nothing is rephrased. names can be misheard
(the analysis reads context, assessments check outside sources). how →
More from Antoine Shagoury
AssertionNot checkable as stated
Enterprise AI proof-of-concept volume is increasing exponentially, says Shagoury
“The POCs have actually gone up exponentially. They haven't gone down. They haven't died down at all in that scenario.”
Antoine ShagouryJan 31, 2025▶ 9:05Implementing AI In The Real World — With Kyndryl's Antoine Shagoury
AssertionNot checkable as stated
An 80 percent failure rate for enterprise AI proofs-of-concept is common
“And although, yeah, 80% failure rate is not uncommon or call it, you know, getting thrown on the shelf, right? First of a kind is last of a kind type of scenario.”
Antoine ShagouryJan 31, 2025▶ 9:22Implementing AI In The Real World — With Kyndryl's Antoine Shagoury
Insight
Most enterprise AI projects actually just require simple automation, says Shagoury
“And we often find many of the POCs turn into, they don't require complex AI, new model development and things in that space. They require simple automation. So they require more or more data, right? Or more programmatic changes in how the application is operat…”
Antoine ShagouryJan 31, 2025▶ 9:48Implementing AI In The Real World — With Kyndryl's Antoine Shagoury
AssertionNot checkable as stated
Automakers use AI micro-models to analyze customer interactions and optimize supply chains
“Automotive a little bit differently. Interesting though. Big push on understanding personalization. So harvesting a lot of the surveys, the interactions, the chats, and really directing that through. So they've really started to leverage models and now micro m…”
Antoine ShagouryJan 31, 2025▶ 12:55Implementing AI In The Real World — With Kyndryl's Antoine Shagoury
Insight
Mutated source data in fragile legacy applications drives enterprise AI hallucinations
“Data has become so mutable in the environments for many business because the applications are fragile. So what they've done is they layer application services, but they don't touch them. And what they do is they keep modifying source data. And when you start t…”
Antoine ShagouryJan 31, 2025▶ 21:47Implementing AI In The Real World — With Kyndryl's Antoine Shagoury
Insight
Maintaining continual real-time AI model operations in production is very expensive
“So getting deep in analysis, deep in processing, continual real-time model operations become very expensive.”
Antoine ShagouryJan 31, 2025▶ 23:13Implementing AI In The Real World — With Kyndryl's Antoine Shagoury
Made with StarZero
Turn any episode into a week of clips.
This entire site, over 300 episodes transcribed, diarized, checked and made playable,
runs on the StarZero media pipeline. Drop in your own episode and the podcast clipper finds the
moments worth sharing, cuts them, captions them, and reframes them for every feed.
We use essential cookies to make the site work. With your permission we
also use analytics cookies (Google Analytics and Mixpanel) to understand
usage and improve StarZero. See our Cookie Policy.