Pre-registration required to attend, please pick your badge up at the Registration Desk. The first 40 attendees to check in will receive an exclusive IDC gift.

Our host welcome you to the AI & Data Summit San Francisco. Setting the stage for the program, they’ll provide an overview of the strategic insights and tech trends you can expect to hear about during the day.

Agentic AI is unlocking new levels of enterprise innovation by enabling autonomous decision-making and adaptive workflows at scale. Balancing this potential with robust risk management is essential for ensuring trust, compliance, and sustainable value as organizations operationalize agentic systems across critical functions.

AI is not just an IT tool; it’s rapidly becoming a core driver of business value across industries.  This session will share Dell Technologies’ and NVIDIA’s perspective regarding the repeatable methodologies, use cases, lessons learned that early adopters have leveraged to deploy AI, on premises. Specific focus areas will include: Strategy & Preparation, Development and Piloting, Deployment and Scaling.

Why most AI pilots stall, and how leading enterprises move beyond proofs-of-concept to deploy governed AI Employees that execute end-to-end work across functions, systems, and geographies at scale.

AI‑powered products are being reengineered by moving from AI‑assisted tools to AI‑orchestrated, autonomous workflows across design, verification, and simulation. In this brief talk, Prith Banerjee will highlight a silicon‑to‑systems engineering approach, and the integration of multiphysics simulation.  He will show how AI‑driven, software‑defined engineering is compressing development cycles, improving productivity, and enabling a new class of intelligent systems at scale.

Data is emerging as a core driver of enterprise strategy, fueling innovation, operational excellence, and competitive differentiation. Organizations that treat data as a strategic asset are positioned to unlock new value, enable intelligent decision-making, and build resilient, future-ready business models.

Most enterprise AI initiatives stall. Not because the models are wrong, but because the data underneath them is fragmented, ungoverned, and inconsistent. In this session, we share how global organizations like Pfizer are scaling AI across 27 markets and 15,000 users by investing first in a governed, unified data foundation. You’ll leave with a practical framework for building the AI-ready data infrastructure that turns pilots into enterprise-wide transformation.

Creating value from AI is not just about implementation. It is about sustaining performance, maintaining quality, and managing the capability over time. This fireside chat will explore how organizations can move from innovation to long-term value by putting in place the processes, ownership, and operating discipline needed to scale AI successfully.

Building trustworthy AI requires embedding ethics, bias mitigation, and transparency into every stage of the AI lifecycle. Organizations that operationalize these principles not only strengthen compliance and stakeholder trust but also position themselves for responsible innovation and long-term success.

Lightning Insights: As IT leaders explore AI and agentic workflows, the real opportunity starts with process: capturing how work gets done, turning expert actions into reusable knowledge, and reducing manual burden on technicians. This brief discussion by ScreenMeet CEO/Co-Founder, Ben Lilienthal, will explore how remote support data can help teams improve productivity today while building the foundation for smarter, AI-driven service operations tomorrow.

Build professional connections during this stress-free guided networking time and learn about your fellow event attendees. Expect to find some of our speakers joining you during this time to network and answer questions candidly from your seat.

This session moves past the AI hype to tackle this Pilot to Production Gap. Attendees will learn about the three critical data infrastructure requirements to deliver trustworthy AI in production, and how to help Data, AI and Business teams alike collaborate more effectively to achieve AI success more quickly. We will also show some examples of these principles in action, through customers that have achieved measurable results in production.

AI value stalls when data quality, governance, and security are treated as afterthoughts. In 15 minutes, Stephen Pieraldi shares a practical playbook to move from pilots to production: build trustworthy data foundations (catalog, lineage, observability), embed risk-by-design guardrails for GenAI/agentic systems, and measure ROI with KPIs tied to outcomes. Leave with patterns you can apply across cloud, edge, and hybrid environments.

Enterprise AI adoption is no longer limited by deployment, but by what happens when agents make mistakes: inaccurate planning, failed tool use, knowledge gaps and loss of trust. This Lightning Insight shows recent techniques to turn errors, escalations and expert interventions into governed memory, operational reliability and continuous performance improvement.

AI agents have made writing code cheap, but the ROI hasn’t followed. Code gen output is up but PR review has become the release bottleneck. AI agents are only as good as the context they can reach, and in large teams shared context is the key to turning AI implementation into real ROI. In this talk, CodeRabbit shows how it acts as a second brain for your SDLC, clearing the PR review backlog and giving your dev team, and your AI agents, one shared surface for the entire SDLC.

AI and data will fundamentally redefine competitive dynamics, business models, and workforce expectations. Leaders must anticipate disruptive technological shifts, invest in adaptive strategies, and cultivate organizational resilience to harness the full potential of an AI-driven future.

Hear a full summary of the days’ takeaways and what’s to come during these final remarks from our Event Host.

Enjoy more food and drinks with our partners and new contacts