Stephen Mcmillan on fraud detection
From Introducing the Teradata Autonomous Knowledge Platform · · Teradata
“In financial services, detecting fraud 200 times faster and deploying models 75% faster to protect every transaction and every customer. In healthcare, we've improved on-time care and service delivery to 97% so patients and clinicians can depend on care when it matters most. And in manufacturing, predicting equipment failure in advance, saving in excess of hundreds of millions by improving availability with large truck fleets.”
On , Stephen Mcmillan, President, Chief Executive Officer & Director at TERADATA CORP, spoke about fraud detection during Introducing the Teradata Autonomous Knowledge Platform on Teradata.
About Stephen Mcmillan
Stephen McMillan, president and CEO of Teradata, has been promoting the company’s new flagship product, the Teradata Autonomous Knowledge Platform, which he described as unifying AI, analytics, and data across cloud, on-premises, and hybrid environments. In a May 2026 product launch, McMillan stated that the platform is designed to help enterprises move from isolated AI projects to “always-on, autonomous intelligence.” He cited customer examples including fraud detection in financial services that he said is 200 times faster, improved on-time care delivery in healthcare to 97%, and equipment failure prediction in manufacturing that he claimed saved hundreds of millions of dollars. McMillan also noted that a Teradata-sponsored survey found 100% of senior technology leaders are pursuing agentic AI, but only 17% have deployed it beyond pilots, and 99% have faced infrastructure scaling challenges. On Teradata’s Q1 2026 earnings call, McMillan reported solid retention and growth in total and cloud annual recurring revenue, attributing this to customer interest in hybrid capabilities and accelerating demand for sovereign AI, particularly in financial services and healthcare. He emphasized that “AI is moving closer to the data, not data moving to AI,” and highlighted new capabilities including multimodal data support and agentic features through partnerships with Unstructured and LangChain. McMillan also noted Teradata’s participation in the Google Distributed Cloud air gap center launch, allowing organizations to run AI workloads within a sovereign perimeter without data leaving the environment.