AI adoption is rising fast, but many companies still struggle with data that’s scattered, inconsistent or hard to use. Without a strong data foundation, AI can’t deliver real results. In this episode of the IBM Technology Summit series, we examined why so many enterprises face this challenge—and what it takes to finally make data ready for AI, including the growing importance of real-time data and AI acceleration.
Ritika Gunnar, Global Manager, Data, was joined by Dima Spivak, Vice President, Product Management, watsonx.data; Bruno Aziza, Vice President, Enterprise Software; Sriram Raghavan, General Manager, IBM Software, India and Software Innovation Lab, and our client EY, to explore the foundation that makes AI work at enterprise scale: AI-Ready Data.
Ritika broke down the key blockers enterprises face today and the essential capabilities needed to overcome them. Dima then brought those capabilities to life with a hands-on watsonx.data demo, showing how they work in practice. Building on that foundation, Bruno and Sriram highlighted IBM’s latest breakthroughs in data and automation—including the acquisition of Confluent to bring real-time data into the AI stack and an expanded collaboration with NVIDIA to accelerate enterprise AI. And to close it all, our speaker from EY showed how their teams are already accelerating decision-making with conversational AI powered by watsonx.data.
Watch the on-demand episode to see how IBM is enabling enterprises to build hybrid, optimized and governed data foundations ready for AI.
