Great conversation from Equinix Horizon, this time with Kaladhar Voruganti, VP and Senior Technologist on the Global Value Advisory Team at Equinix on The Ravit Show. He runs field CTOs and 20 global solution validation centers, basically AI labs where customers and partners go to test what actually works.
Sharing the takeaways while they are fresh.
Most enterprises are not chasing exotic AI use cases. Coding, customer support, and employee productivity are where the real adoption is happening right now. And the architecture pattern Cal is seeing repeatedly is hybrid. Big cloud models for the hard problems, open models on private infrastructure at Equinix for everything else, mainly for cost and control.
The part that stuck with me was how enterprises are managing AI spend and governance. AI gateways act as traffic routers, sending simple queries to simpler models and complex ones to the cloud. Semantic caching alone is knocking out 20 to 60 percent of redundant queries before they ever hit a model. And AI firewalls are showing up at neutral interconnection points to scrub traffic before it reaches applications. This is the unglamorous plumbing that decides whether enterprise AI is actually affordable.
His advice for leaders was blunt in a good way. Centralized data lakes do not hold up for agentic AI, so shift to a federated approach that takes the query to the data instead of the other way around. Do not rush to prove ROI or cut headcount early. Let people get comfortable with AI first. And follow the sequence: experiment, then govern, then move to private AI clusters for cost control.
Kaladhar and his team publish weekly on networking, data strategy, governance, and industry verticals. Worth a follow if you are building any of this yourself.
More conversations from the summit floor coming soon.
#equinix #equinixhorizon #ai #enterpriseai #datastrategy #aigovernance #digitalinfrastructure #equinix #theravitshow
