Insight
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.”
Assertion Not 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.”
Assertion Not 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.”
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…”
Assertion Not 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…”
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…”
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.”
Assertion Not checkable as stated
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.”
Insight
Enterprises have lost their appetite for building homegrown AI solutions
“There's a lot less appetite to start building homegrown solutions anymore.”
Opinion
Enterprises will not replace the AI tools native to their SaaS platforms
“There's the embedded tooling. So like the things like the Salesforce conversations or the ServiceNow conversations, there's a lot of AI that's embedded within the workflows and the information being gathered. And a lot of that, you're not necessarily going to …”
Insight
Enterprise AI ROI requires targeted micro-models arbitrating between large foundational models
“Can you now devolve or basically create a micro model that's very targeted to your business? That basically was a recipe. So how do I look at what's happening within, you know, within a CHATGP versus Gemini? How do I start looking at Lama differently? And that…”
Disclosure
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…”
