Podcast Brief and Highlights: Role of Quality Data for Agentic AI Success
The transformative potential of agentic AI is reshaping industries, but its success hinges on high-quality data. In this engaging podcast, host Rohit Singh Verma, Data Practice Head at Nvizion Solutions, is joined by Shasta Lodi, Digital and AI Leader at Philips, and Shaleen Bhartiya, Founder and CEO of Brainwave ML, to explore how quality data drives agentic AI success. They dive into the differences between generative AI and agentic AI, real-world applications, and the critical role of data quality in scaling AI solutions.
Highlights from the Session:
- Why is poor data the biggest threat to agentic AI and how does data quality make or break its reliability?
- What’s the real difference between agentic and generative AI?
- In the Philips SmartSpeed MRI case study, how did they cut scan times by 3x and boost image quality by 65 percent, and what role did data cleanup and MDM play?
- What’s stopping enterprises from scaling AI successfully if the technology itself isn’t the main barrier?
- What must organizations do to ensure clean reliable data for agentic AI and how do tools like NLP and MDM help unlock that potential?