Future-Proofing Business with Trusted Data: How Improved Data Integrity Holds the Key to AI and Analytics
Webinar Speaker: Prashanth Southekal, Ph.D., Research Fellow
Date: Wednesday, March 11, 2026
Time: 9:00 a.m. PT / 12:00 p.m. ET
As business enterprises accelerate their adoption of AI and advanced analytics, one element that consistently determines success is the level of trust in data. While organizations invest heavily in new models, platforms, and AI technologies, many overlook the foundational requirement that makes these initiatives viable—data integrity.
This session explores how trusted, well-governed, and context-rich data is a critical enabler of modern enterprises. It examines why AI and analytics amplify existing data issues, and how inaccuracies, inconsistencies, and fragmented data can undermine business performance. Drawing on real-world enterprise scenarios, the discussion highlights how organizations can shift from reactive data management to proactive, integrity-first strategies that support operations, innovation, regulatory confidence, and sustainable business growth.
Attendees will leave this session:
- Understanding why trusted, high-quality data across legacy systems, mainframes, and modern platforms is critical to AI and analytics success
- Applying an integrity-first data integration strategy that treats legacy and mainframe environments as strategic assets for analytics and AI initiatives
- Defining a practical roadmap for integrating diverse data sets from operational systems to support scalable and reliable analytics and AI
Date: March 11, 2026
Time: 9:00 am PT
Prashanth Southekal, Ph.D.