In this episode, I'm joined by Jitesh Ghai, CEO of Hyland, to discuss the pressing yet often overlooked issue: unstructured data and its potential to redefine AI strategies. As enterprises increasingly prioritize AI, unstructured data—like documents, videos, and images—remains a largely untapped resource, despite making up about 80-85% of enterprise data.

We explore why this data holds untold potential and how Hyland aims to unlock this through their newly launched Content Innovation Cloud.

Jitesh shares insights on why organizations should look beyond conventional data lakes and warehouses, shifting focus towards content repositories. This approach enables companies to harness large language models to extract insights and accelerate innovation.

We also discuss Hyland's role as a long-standing leader in enterprise content management, trusted by over 14,000 customers worldwide. With a vision to drive AI-driven transformation, Hyland's platform goes beyond simple automation to offer a unique mix of content intelligence, process intelligence, and application intelligence.

Jitesh provides a preview of Hyland's AI strategy, highlighting their rapid development cycle, where new capabilities are delivered in months rather than years. We explore how leveraging customers' data assets can serve as a powerful tool in developing advanced AI features, while balancing the pace of innovation with real-world practicality.

If you've been considering how to effectively integrate AI into your enterprise and harness the power of your existing content, this episode offers a fresh perspective on the opportunities and strategies that can make it possible. Are you ready to rethink your approach to unstructured data and unlock its full potential? Tune in, and let's see where it takes us.

What do you think? Could unstructured data be the missing piece in your AI strategy? Share your thoughts with us after listening!