As we enter 2025, the evolution of agentic architectures—AI agents capable of autonomous decision-making—will hinge on one critical factor: data quality. High-quality, reliable data is the foundation for AI readiness. This session explores the interplay between data quality, data observability & agentic AI, highlighting DQLabs’ approach to more autonomic platform. Discover how AI-driven automation enhances data accuracy & reliability, reduces cost & manual effort, prepares organizations for the agentic era with scalable, self-optimizing systems built for AI success.
talk-data.com
Speaker
Raj Joseph
1
talks
Founder and CEO
DQLabs, Inc.
Raj is the Founder and CEO of DQLabs.AI, a visionary and thought leader in data management and enterprise-wide data quality. With a deep commitment to innovation, Raj has successfully expanded DQLabs’ product capabilities to encompass data quality, data observability, and semantics. He is a strong advocate for automating data management processes, leveraging advanced AI/ML technologies, and driving the adoption of agentic AI architectures to enhance and expand DQLabs' offerings.
Bio from: Big Data LDN 2025
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