ON-DEMAND WEBINAR
Interoperability without Data Pipelines
Why? Because AI doesn’t just need data—it needs compatible, connected, high-quality data.
And for most enterprises? They’re buried under a mess of fragmented and siloed datasets.
The traditional solution—centralizing everything in a data warehouse—takes years, costs millions, and often falls short. Data mesh sounded promising, but it still results in a disparate and fragmented data environment.
There’s a better way.
Dr. Mack and the Maxxphase team have pioneered a breakthrough: a non-invasive method to unify your data environments. Their Data Compatibility Standards make datasets directly interoperable.
The result? A seamless, distributed data fabric ready for AI and advanced analytics.
Dr. Bob Mack joins Coginiti CEO Rick Hall to share:
- Why traditional architectures block AI success
- The secret to dataset interoperability without migration
- How to build a modular, scalable, AI-ready data environment
- Real-world examples of the approach in action using the Coginiti platform
Don’t miss this discussion—your AI initiatives depend on it.
