AI is no longer experimental — it’s operational. But as organizations scale AI and analytics, many are encountering a new challenge: rising data costs, hybrid sprawl, and fragmented governance.

Data now lives everywhere — across on-prem systems, multiple clouds, and evolving lakehouse environments. While this hybrid flexibility enables innovation, it can also create inefficiencies, duplication, and escalating infrastructure spend. The result? AI initiatives that are harder — and more expensive — to scale.

The real question facing data and AI leaders today isn’t whether to modernize. It’s how to optimize price-performance without sacrificing governance or control.

That’s exactly what we’ll explore in our upcoming webinar:

Optimizing Hybrid Data Estates for Price-Performance in the AI Era
📅 March 3, 2026 | 9:00 AM EST

In this session, we will share how a hybrid, open data lakehouse approach with IBM watsonx.data helps organizations:

• Reduce storage and compute costs

• Optimize workload placement across environments

• Maintain governance across hybrid architectures

• Scale AI initiatives with confidence

If hybrid complexity and AI economics are on your 2026 priority list, I encourage you to join us.

🔗 Register here:
https://ibm.webcasts.com/starthere.jsp?ei=1752054&tp_key=ea080f1488