Building AI readiness & data trust with governance & observability

Summary

CDOs and AI leaders face big risks when business opportunities get derailed by a lack of data trust.

Today’s organizations are striving to boost workforce data literacy by delivering clean, reliable data, but scattered IT architectures often make accessibility and usability a challenge.

That’s where DataGalaxy and Bigeye come in. Together, we provide a seamless way to tackle end-to-end analytics governance while ensuring real-time, effortless data monitoring.

Join Kash and Kyle as they unpack the biggest data challenges of 2025 and share how you can make your data AI-ready to hit your business goals.

Key Takeaways

1. For organizations to ensure their data is AI-ready, they must prioritize data governance, literacy, observability, and data management to enable successful AI adoption.
2. Earning trust in the data within the enterprise requires mature processes in both governance and observability.
3. Platform owners should consider three paths to success: building in house, implementing an all-in-one platform, or combining best-of-breed solutions.
4. When selecting best-of-breed solutions it’s critical to understand the level of alignment between your potential vendors.

Download Replay