AI explainability is crucial for fostering trust and creating responsible AI by providing transparency into decision-making processes, enabling accountability and mitigating biases. Join this session to know about some practices that D&A technical professionals must adopt to enhance AI explainability and trust, and ensure the responsible and accountable use of AI.
talk-data.com
Speaker
Birgi Tamersoy
2
talks
Dr. Birgi Tamersoy provides guidance to Artificial Intelligence Leaders on technologies, architectures, and operations. His current research focuses on building and productization of AI systems, emerging AI techniques, and enterprise-level operationalization of AI development and deployment.
Bio from: gartner-data-analytics-india-2025
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AI agents are emerging as an important trend since they enable levels of business adaptability, flexibility and agility that traditional AI systems can’t achieve. This flexibility is valuable in unpredictable environments where real-time monitoring and control aren’t practical. Autonomous behaviors, despite significant societal, legal and ethical implications, are the answer to the increasing complexity in our enterprise systems.