AI Adoption vs. Adaptation: What Problem Are You Solving?
Paul McDonagh-Smith estimates that many business leaders would struggle to define their organization’s problem clearly in fewer than 25 words. With AI, that lack of clarity can quickly turn into fragmented solutions and misplaced expectations.
In this episode of The AI Forecast, Paul Muller sits d…
The Great AI Re-Architecture Pushes Workloads to the Data Center
New research points to a major shift in enterprise IT: more than two-thirds of surveyed data leaders are moving some workloads back into the data center.
The catalyst? AI.
In today’s episode, Paul Muller is joined by Cloudera CTO Sergio Gago and CPO Leo Brunnick to unpack Cloudera’s survey of mor…
Running with Scissors: The Enterprise AI Reality
Enterprise AI loves a shiny object. Sol Rashidi would rather talk about procurement.
After years of leading AI deployments, Sol has learned that some of the biggest wins come from the decidedly unglamorous parts of the business. Her favorite function to transform? Procurement.
Recorded at EVOLVE2…
Can AI Make Sense of Pharma’s Messiest Data?
Human biology is extraordinarily complex, and researchers often have only fragments of information to work with. Brian Martin compares it to looking at a skyscraper through a keyhole: you can see something clearly, but only a tiny piece of the whole.
Recorded at EVOLVE26 Singapore, this episode of…
Beyond the POC: AWS’s Playbook for Enterprise AI Success
Most AI pilots never make it past the demo phase.
AWS Machine Learning Lead Praveen Jayakumar has seen plenty of promising AI projects get stuck between a successful demo and production. Teams often define what success looks like without deciding what failure looks like, leaving underperforming pr…
Making AI Fluent in Your Business
Every new AI chat is another first day on the job.
Rob Collie describes today’s general-purpose AI as a brilliant new hire who wakes up on their first day every time you start a new conversation. It may understand your industry, but your workflows and business context have to be explained all over…
When Everyone Has AI, Your Data Sets You Apart
After 23 years in machine learning and data science, Cao Hong has seen plenty of AI projects come and go. His measure of success is simple: did it create value for the business?
Recorded at EVOLVE26 Singapore, this episode of The AI Forecast brings Paul Muller together with Cao Hong, Principal Dir…
Why Successful AI Models Can Still Fail the Business
An AI project can deliver a great prediction and still fail the business.
Rajesh Kelvalkar has seen it happen firsthand. In one mining project, the model worked, but the team discovered that the downstream business process wasn’t configured to act consistently on its recommendations. The technolog…
AI Agents Move Fast. Can Security Keep Up?
Your AI agent has credentials. Now, what happens when it goes off script?
An agent can take action and change course before a traditional security review even begins. For Alex Bovee, identity is only the beginning of the security conversation.
In this episode of The AI Forecast, Paul Muller sits …
Leaving the Sandbox: AI In the Real World
The AI worked in the sandbox. Then it met the real world.
David Hardoon learned that lesson during an ATM optimization project designed to improve cash-delivery routes. Once deployed, the system collided with traffic and unpredictable schedules, which are the realities that face the people doing t…
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