Securing and derisking AI requires new processes, tools and mindsets. Risks abound internally and externally while regulations take hold. This session outlines frameworks, tools and processes for managing AI trust, risk and security.
talk-data.com
S
Speaker
Sumit Agarwal
3
talks
Sumit Agarwal is a technologist with a practitioner mindset and extensive experience on solutions implementations across data and AI technologies. He has a research focus on Artificial Intelligence, Machine Learning, Advanced Analytics and Data Science. He provides guidance on AI topics including end-to-end solution implementations, architectures, frameworks and best practices related to cloud AI, responsible AI (explainability, privacy, fairness, adversarial robustness), skills development and organization structure, governance, technical strategy and open-source components.
Bio from: gartner-data-analytics-india-2025
Filtering by:
gartner-data-analytics-india-2025
×
Filter by Event / Source
Talks & appearances
Showing 3 of 9 activities
AI systems can have significant impact in organizations decisions and product offerings. This has triggered a complex regulatory landscape and related organizational guidance to ensure responsible and ethical implementation of AI systems. This session provides the technology framework supporting the processes and policies for a reliable AI system that is fair, safe and secure.
Despite the popularity of retrieval-augmented generation, organizations are struggling to optimize large language model applications based on RAG. Attend this session to get suggestions and recommendations on improving your RAG solution, LLMOps for RAG systems, and scaling considerations.