By Przemek Tomczak, Director of Industry, Partnerships & Alliances at Ocient
The data and analytics industry is undergoing an unprecedented transformation, demanding rapid adaptation and bold vision from today’s technology leaders. After spending time with enterprise data leaders at the Gartner Data & Analytics Summit 2025, one thing is clear: the conversation has moved beyond theory. The pressure is on to operationalize AI, treat data as a product, modernize architectures, and unlock performance at previously unimaginable scale.
AI as the New Operating Principle
At Gartner, the buzz wasn’t about experimenting with AI—it was about embedding it deeply and sustainably across the enterprise. But to do that, organizations need more than a few clever models. They need real-time access to massive datasets, strong governance, explainability, and speed. AI is only as good as the data that fuels it, and the infrastructure that supports it.
Enterprises must invest holistically—in data management, ethical frameworks, and strong governance—if they are to scale AI from isolated pockets of innovation to enterprise-wide impact.
At Ocient, we’re working with organizations that are integrating AI into core workflows, not just pilots. They’re using trillions of records to make split-second decisions—in telecom, financial services, adtech and beyond. The lesson? AI at scale demands data infrastructure built for scale.
Data Products: The Next Evolution of Value Creation
The shift from “data as an asset” to “data as a product” is gaining traction. This is not just a vocabulary change—it’s an operational shift that requires ownership, discoverability, and reusability of data across teams and domains.
Ocient supports this evolution by enabling seamless delivery of analytical outputs as high-value data products—whether that’s a refined dataset delivered downstream in milliseconds or insights served directly to business users. With performance at scale, data product teams can work iteratively, deliver fast, and meet evolving demands without compromise.
Architectures Must Match the Moment
We heard it again and again: legacy monoliths can’t keep up. Enterprises are embracing data mesh and data fabric not as buzzwords, but as practical strategies to decentralize control, accelerate insight delivery, and manage data in motion.
What’s often missing in these conversations is performance. Ocient’s Compute Adjacent Architecture™ complements modern architectural strategies by eliminating the latency and complexity that often come with stitching together multiple tools. Our platform acts as the high-performance engine in place of legacy architectures.
Data Trust and Governance: Foundations for Innovation
Trust is the foundation for innovation. Privacy regulations, ethical considerations, and compliance are front and center. But governance shouldn’t slow you down—it should enable acceleration.
That means automating lineage, embedding quality checks in data pipelines, and maintaining transparency across workflows. Organizations that build governance into every layer of their data strategy create a culture of confidence—empowering everyone from data scientists to executives to act on insight.
The Bottom Line: From Vision to Action
The Gartner Summit was eye opening for me. Enterprises know what they need to do—but now comes the hard part: execution.
At Ocient, we’re partnering with industry leaders to move faster, scale smarter, and create tangible impact with their data. The road ahead demands infrastructure that doesn’t just keep up—it accelerates the journey. If your current platform can’t scale, perform, or adapt at the level your strategy requires, it’s time to rethink what’s possible.
Let’s talk.