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SiliconANGLE

Will agentic AI governance run amok? The lesson of Asimov’s Three Laws - SiliconANGLE AI + quantum, Amazon vs. Starlink and the wide-open US-China internet battle - SiliconANGLE Team Cymru launches Total Insights Feed to replace legacy threat intelligence lists - SiliconANGLE AI Mode in Chrome adds split-screen view to enhance the web search experience - SiliconANGLE Resolve AI raises $40M at $1.5B valuation to optimize production environments - SiliconANGLE How Zscaler and OpenAI turn zero-trust security into an AI accelerator - SiliconANGLE OpenAI ratchets up Codex's agentic capabilities to rival Claude Code - SiliconANGLE Anthropic launches Claude Opus 4.7 with coding, visual reasoning improvements - SiliconANGLE Slash raises $100M at a $1.4B valuation to expand AI-powered banking platform for online businesses - SiliconANGLE Canva unveils Canva AI 2.0, recasting its platform as an agentic system for work - SiliconANGLE Data center, consumer device chips boost TSMC’s revenue - SiliconANGLE Mission-critical security cannot be bolted on, says Oracle - SiliconANGLE Agentic infrastructure reshapes enterprise AI - SiliconANGLE Data quality, and data freedom, foundational for AI success - SiliconANGLE Data trust is a bedrock in successful, scalable AI outcomes - SiliconANGLE Google introduces new agentic AI-ready tools and resources for Android developers  - SiliconANGLE Agentic AI orchestration separates winners from laggards - SiliconANGLE Data-driven tools turning the tide against human trafficking - SiliconANGLE Achieving trusted AI development goes beyond 'vibes' - SiliconANGLE Impinj boosts edge computing power in updated R700 RAIN RFID reader - SiliconANGLE Certinia powers professional services with AI - SiliconANGLE Antioch prepares to accelerate simulated testing for autonomous robots after raising $8.5M - SiliconANGLE Developer tooling startup Expo nabs $45M investment - SiliconANGLE Solidroad lands $25M to bring AI to customer support interactions - SiliconANGLE DuploCloud lands compliance and AI governance certifications as enterprise buyers tighten scrutiny - SiliconANGLE Lua lands $5.8M to help businesses build and manage AI agent workforces - SiliconANGLE Best of frenemies: Oracle's and AWS' clouds unite with dedicated, private connectivity - SiliconANGLE NIST shifts National Vulnerability Database to risk-based triage as CVE submissions hit record levels - SiliconANGLE Cisco goes to the races with new Churchill Downs multiyear partnership - SiliconANGLE Susecon 2026 will tackle the future of open-source platforms - SiliconANGLE Seriously? 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Data activation in the age of agentic AI - SiliconANGLE
Kelly Knight · 2026-05-14 · via SiliconANGLE

Boomi CEO: The agents are ready, but the enterprise data foundation beneath them might not be

Somewhere inside every large company, there is a long list of AI pilots — promising, applauded, then quietly shelved. The culprit, more often than not, is a data activation failure.

The gap between AI ambition and enterprise reality is widening as organizations struggle with legacy systems and shadow AI building inside every business function. Boomi LP has positioned itself squarely in the center of that gap, framing data activation— getting the right data to the right systems at machine speed — as the unglamorous prerequisite that makes agentic AI viable in production, according to Boomi Chief Executive Officer Steve Lucas (pictured).

“Last year we were talking about AI agents — and honestly, the year before that as well,” Lucas said. “This year, the agents aren’t coming. They’re here. AI is starting to become not just a pervasive conversation in the enterprise — it is being deployed. It is real. We’re starting to see real ROI coming from AI and agents in enterprise processes, integrations and automations.”

Lucas spoke with theCUBE’s John Furrier and Gemma Allen at Boomi World 2026, during an exclusive broadcast on theCUBE, SiliconANGLE Media’s livestreaming studio. They discussed data activation, AI governance, the future of the enterprise builder persona and Boomi’s strategy for harnessing AI at scale. (* Disclosure below.)

Data activation and the enterprise AI readiness gap

The path to AI readiness starts long before any model is selected. Fragmented data pipelines, mainframe dependencies and decades of legacy enterprise resource planning systems remain serious obstacles to the fluid, real-time data flows that agents require, Lucas noted.

“You’ve got to get your arms around your data,” he said. “‘Where is it? Is it of quality? Can I deliver it in real time?’ If you are struggling to deliver data to human intelligence in real time with quality, how do you think that’s going to play out for AI that operates thousands of times faster?”

But data readiness is only part of the equation — the harder work is orchestrating agents as they develop skills over time and deploying them against specific, domain-validated workflows, Lucas explained. Real-world results are emerging: Lexitas, a Chronicle Bidco Inc. company, has automated nearly 50% of its highly regulated payment processing through AI agents on the Boomi platform, with zero human involvement and oversight flowing through Boomi’s governance plane, he noted. A second customer, Multiquip Inc., has automated roughly 80% of technician support queries through agents, eliminating the need to manually search thousands of product manuals. Examples such as these point to a maturation curve moving faster than most expect.

“The first thing that organizations want is domain-specific AI, not generalized AI. If I’m a healthcare organization, I want HIPAA-compliant, healthcare-specific, domain-specific AI. Number two [is] they want to understand, ‘How does this plug into my business process?'” he said. “We’re gonna go from generalized ROI to domain-specific ROI — very quickly.”

To support containerized, model-agnostic deployment at scale, Boomi this week announced a strategic collaboration with Red Hat Inc. to deliver a single integrated stack for agentic AI — pairing Boomi’s Agentstudio with Red Hat AI so organizations can run open-weight models privately rather than exposing enterprise data to frontier model providers, Lucas explained. The logic is straightforward: Model choice is not a differentiator — control is.

“Which AI model is right for your company? The answer is all of them,” he said. “If all of the models are the right answer, how do I harness those? How do I containerize them? Having that container with our runtime, with those models, now you can privatize AI, you can build your data geometry — your graph that is unique to your company — not help somebody else build their trillion-dollar company.”

Here’s the complete video interview, part of SiliconANGLE’s and theCUBE’s coverage of Boomi World 2026:

(* Disclosure: TheCUBE is a paid media partner for Boomi World 2026. Sponsors of theCUBE’s event coverage do not have editorial control over content on theCUBE or SiliconANGLE.)

Photo: SiliconANGLE

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About SiliconANGLE Media

SiliconANGLE Media is a recognized leader in digital media innovation, uniting breakthrough technology, strategic insights and real-time audience engagement. As the parent company of SiliconANGLE, theCUBE Network, theCUBE Research, CUBE365, theCUBE AI and theCUBE SuperStudios — with flagship locations in Silicon Valley and the New York Stock Exchange — SiliconANGLE Media operates at the intersection of media, technology and AI.

Founded by tech visionaries John Furrier and Dave Vellante, SiliconANGLE Media has built a dynamic ecosystem of industry-leading digital media brands that reach 15+ million elite tech professionals. Our new proprietary theCUBE AI Video Cloud is breaking ground in audience interaction, leveraging theCUBEai.com neural network to help technology companies make data-driven decisions and stay at the forefront of industry conversations.