Safeguarding Data Trustworthiness for Reliable AI Applications: A Strategic Approach

The transformative power of Artificial Intelligence (AI) is increasingly evident in today's business environment, driving operational efficiency, fostering innovation, and enhancing customer engagement. Yet, extracting maximum value from AI hinges on the trustworthiness of the underlying data models and infrastructure. 

Here, data integrity assumes a pivotal role, encapsulating the accuracy, consistency, and context of data, vital for the production of credible and action-oriented insights. In an era where decisions are data-driven, the significance of data integrity is paramount. It constitutes the cornerstone of successful AI projects, guaranteeing that the insights and forecasts produced by AI algorithms are dependable and applicable. Absence of data integrity can lead businesses astray, causing them to base decisions on inaccurate or missing data, potentially resulting in expensive errors.

This webinar features a panel discussion hosted by Sanjeev Mohan, Principal, SanjMo on the importance of data integrity in AI. Panelists Dr. Tendü Yogurtçu, PhD Chief Technology Officer, Precisely, Antonio Cotroneo, Director, Product Marketing, Precisely, and Ayan Ray, Senior Solution Architect, Amazon Web Services, discuss AI's potential and how it can only be realized with trustworthy data models.