Data is the Fuel for the Agentic Enterprise

We know how paralyzing it can be when your AI ambitions hit the wall of legacy data systems. You want to scale from small proofs of concept to full production workloads, but if your enterprise data isn’t ready, lacks quality, and can’t be trusted, those initiatives will inevitably stall.

To explore how to solve this, Ben recently sat down with Daniel Zagales, SVP of Data Platforms at 66degrees. Their insightful conversation covered why getting your "data house in order" has become the critical path for modern businesses looking to deploy AI and become a true Agentic Enterprise.

Here is a summary of the key takeaways from their discussion:

The Generative AI Wake-Up Call

Ben and Daniel reflected on how the market rushed into small-scope Generative AI pilots over the last couple of years. As organizations tried to scale these into production, they hit a wall. Why? Because, as Daniel vividly pointed out, "you can't put a Ferrari engine on a go-kart".

Trying to power customer-facing AI agents with a bad data foundation might let you move fast initially, but it will ultimately crash and erode user trust. At 66degrees, we believe in the Science of Delivery: building a clear, reliable data foundation first so your AI initiatives deliver actual business value.

Shrinking Timelines with the Paradigm Platform

Historically, migrating away from legacy, on-premise data systems was a grueling two-to-three-year process built on manual "lift and shift" coding. In their discussion, Daniel explained how 66degrees is radically transforming that timeline.

Through our proprietary Paradigm platform, our Agentic Teams map out legacy database dependencies in hours instead of months. This allows teams to break the migration down into meaningful chunks and roll out modernized, AI-ready data warehouses in just four to six months—drastically de-risking your project timeline.

Keeping the Human in the Lead

A major theme of the conversation was that technology is only half the story. The real value of modernization is keeping the human in the lead. By letting our agentic tools handle the heavy technical lifting, we provide the scaffolding for success. Daniel advised that this frees up your engineers to act as a foundational teammate, focusing their energy on highly creative, domain-specific problem-solving rather than stressing over changing syntax. Technology should always be framed by what it empowers your people to do.

The Google Cloud Advantage

Daniel and Ben also discussed our strategic alignment with Google Cloud, a partnership that began early on in 2016. Today, as a Diamond Tier partner, we offer the ultimate risk mitigation for our clients. Google remains the industry leader in data and AI because they focus on empowering non-technical users. Together, we securely architect your Agentic Enterprise, expanding the impact of your data far beyond the traditional CIO suite.

The Path Forward for Technical Leaders

For IT leaders and CIOs feeling weighed down by their technical debt, Daniel’s concluding advice was clear: stop doing isolated pilots and start your data modernization right now. With competitors hyper-focused on disruption, waiting is no longer an option. Master the core principles of a strong data product, rely on the right tools for the heavy lifting, and build the foundation your enterprise needs to truly thrive.