Building AI-Ready Data Foundations for Agentic Analytics
TDWI Research on Scaling Generative and Agentic AI
TDWI Research on Scaling Generative and Agentic AI
Enterprise leaders are investing heavily in generative AI, but scaling it requires trusted data pipelines, governance, and automation. Explore the latest TDWI research, expert discussions, and practical examples to learn how organizations are building AI-ready data foundations.
Explore TDWI research, expert discussions, and real-world examples on how enterprises are operationalizing generative and agentic AI.
Enterprises are rapidly investing in generative and agentic AI, but many initiatives stall due to fragmented data, lack of governance, and complex pipelines.
Organizations that successfully scale AI focus on building AI-ready data foundations that combine:
In this video, TDWI research fellow Donald Farmer joins experts from Databricks and Alteryx to examine what modern lakehouse architecture must include to support accountable, production-ready AI.
Building Agentic and Generative AI: Enterprise Data Foundations and Applications
This TDWI research report explores how organizations are preparing their data infrastructure for generative and agentic AI, including:
TDWI Virtual Summit Highlights
This virtual summit brought together data leaders, architects, and AI practitioners to explore how enterprises are operationalizing AI.
Topics covered include:
• Agentic AI architectures
• Data pipelines for generative AI
• Governance and risk management for AI systems
• Operationalizing AI across business teams
In this TDWI spotlight conversation, Jason Klein discusses how organizations are evolving their data architecture to support agentic AI and why automation and governed analytics are critical to scaling AI safely.