Data Council 2025: The Future of Data and AI Infrastructure

Data Council 2025 is a premier conference shaping the future of data and AI, bringing together top engineers, researchers, and leaders to explore cutting-edge advancements in AI agents, real-time analytics, data governance, and open-source innovation. Designed for professionals driving data-powered AI transformation, the event delivers deep technical insights, hands-on workshops, and direct mentorship from creators of foundational tools like DuckDB, dbt, Ray, and Llama Stack. Attendees gain practical strategies for building scalable, reliable, and ethical AI systems in enterprise and product environments.

Key Features:

• AI Agents & Agentic Workflows: Explore autonomous, multi-step AI systems and frameworks like AutoGen and TapeAgents for observability and debugging.
• Low-Latency Analytics: Learn how real-time data processing enhances AI performance and user trust.
• Data Quality & Governance: Emphasize trust, reproducibility, and ethical data use as essential foundations for AI.
• Infrastructure Convergence: Discover the fusion of OLTP and OLAP systems, such as DuckDB in PostgreSQL, enabling hybrid workloads.
• Open Source Innovation: Engage with builders of major open-source tools including Iceberg, Feast, SlateDB, and OramaCore.
• GenAI Application Design: Gain insights into scalable, multi-LLM orchestration and cost optimization for real-world GenAI products.
• Human-Centered Data Culture: Promote collaboration, design thinking, and bridging gaps between data and business teams.
• Hands-On Workshops: Participate in practical sessions led by creators of MotherDuck, Firebolt, Vectara, and Zerve AI.
• Speaker Office Hours: Access exclusive 1:1 mentorship with pioneers like Samuel Colvin, Hardik Shah, and Marck Vaisman.
• Real-World Use Cases: Learn from companies like Notion, LinkedIn, DoorDash, Meta, and Instacart on scaling AI and data systems.
• Ethics & Responsible AI: Understand the importance of ethical data acquisition, privacy-preserving platforms like Apple’s Private Cloud Compute, and frameworks for AI accountability.
• Innovative Database Paradigms: Explore agentic databases, GPU-native search engines, and embedded key-value stores on object storage.
• No More BS AI Frameworks: Learn when and how to effectively leverage AI—balancing innovation with practicality and data quality.

Pricing: Data Council 2025 offers tiered pricing with startup, non-profit, and student discounts available, and includes workshops and speaker office hours in the ticket price. While no explicit pricing tiers are listed, the availability of discounted access suggests a freemium or trial-like registration model for select groups, with full pricing likely subscription-based for general attendees.

Conclusion: Data Council 2025 is an essential gathering for data and AI professionals committed to building intelligent, scalable, and responsible systems. With a focus on real-world engineering, open-source leadership, and human-centric design, it stands as a beacon of innovation and collaboration in the evolving data + AI ecosystem.