AI interoperability and layered trust emerge as the real unlocks for enterprise scale
Enterprise AI governance is becoming increasingly important as organizations race toward ROI, demanding AI systems that are scalable, predictable and built to deliver measurable business outcomes.
With research estimating that two-thirds of AI pilots stall before reaching production scale, most organizations are clearly not just behind on AI — they’re stuck at the starting line. Still, even as different companies take different approaches to AI, interoperability and governance have emerged as clear cornerstones, according to Murali Swaminathan (pictured), chief technology officer of Freshworks Inc.
“There’s a lot of change that has happened in the AI world. There’s so much proliferation of AI-native tools [and] third-party products. Everybody is doing AI in a different way,” Swaminathan said. “There’s no one-size-fits-all — everything needs to connect together. We need to interoperate with other AI systems, and that’s the learning lesson here.”
Swaminathan spoke with theCUBE’s Bob Laliberte at the Freshworks Refresh event, during an exclusive broadcast on theCUBE, SiliconANGLE Media’s livestreaming studio. They discussed enterprise AI governance as well as the shift from human-assisted workflows toward more autonomous AI-driven operations. (* Disclosure below.)
