The Ledger
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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.”
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.”
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…”
Enterprise AI adoption cannot start directly with AI agents, says Shagoury
“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.”
Business leaders, not IT, now direct the majority of enterprise AI investment
“We're seeing large, the majority of investment being directed through business leaders and how we're driving into it.”
Enterprises have lost their appetite for building homegrown AI solutions
“There's a lot less appetite to start building homegrown solutions anymore.”
Kyndryl uses AI agents to automate telco client code testing
“We've been able to use our AI agent framework to deploy not only code assist agents, but also into test and deployment agents. So how we can also shorten the time in which, where we see errors in coding to be returned back and be refined. So we've deployed tha…”