Join us for DCCWest on May 20, 2025 in San Francisco, CA
See what to expect at DCC West on May 20, 2025 in San Francisco, CA. More details will be posted soon.
Register now
Check-in, grab a coffee and network before sessions begin!
8:00 am
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2:00 pm
8:00 am
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9:00 am
Main Room
9:00 am
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9:05 am
Main Room
Abstract coming soon!
9:05 am
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9:35 am
9:35 am
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9:45 am
Breakout Room 1
Abstract coming soon!
9:45 am
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10:30 am
Main Room
As artificial intelligence evolves toward increasingly autonomous, agentic systems, traditional approaches to data and AI governance are being challenged. This panel brings together leading voices from industry and academia to explore how governance frameworks must adapt to support collaboration between humans and intelligent agents. Topics will include the emerging risks and opportunities posed by agentic AI, new paradigms for accountability and oversight, and the role of policy, ethics, and technical infrastructure in ensuring safe and effective co-working between people and machines. Attendees will gain insight into how to design governance models that are dynamic, resilient, and aligned with human values—paving the way for responsible innovation in the era of agentic AI.
9:45 am
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10:30 am
Grab a snack, refill a beverage and take a minute to yourself in-between breakout session. Our Snack Break is sponsored by Grammarly!
10:30 am
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10:40 am
Breakout Room 1
This session provides an accessible introduction to the emerging field of DevOps for agentic AI systems. We'll explore foundational concepts and practical approaches for creating infrastructure that supports AI systems capable of reasoning and adaptation. Topics include: how traditional DevOps principles can be adapted for AI workloads, essential CI/CD pipeline considerations, fundamental monitoring approaches for AI systems, and key strategies for balancing system reliability with AI autonomy. Attendees will gain practical, immediately applicable knowledge through real-world case studies drawn from enterprise AI deployments. You'll learn specific implementation patterns that have succeeded in production environments, common pitfalls to avoid when scaling agentic AI systems, and concrete examples of monitoring setups that effectively track AI agent behavior. The session will include actionable templates and frameworks that you can adapt to your organization's specific needs, regardless of where you are in your agentic AI journey.
10:40 am
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11:25 am
Main Room
Abstract coming soon!
10:40 am
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11:25 am
11:25 am
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12:45 pm
Main Room
Abstract coming soon!
12:45 pm
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1:15 pm
1:15 pm
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1:25 pm
Breakout Room 1
The AI industry faces a paradox: we're building sequential thinking agents but running them on parallel processing hardware. This fundamental mismatch creates a latency bottleneck that's holding back truly agentic AI systems - those that can reason, adapt, and drive outcomes autonomously. In this session, Jordan Hagan, AI Solutions Architect with Groq, demonstrates how LPUs break through this barrier with architecture specifically designed for sequential processing. See live demos showing how Groq's technology slashes token generation time, transforming theoretical agent capabilities into practical reality. Audience members will discover why Groq's approach produces not just faster but more reliable agent behavior - crucial for mission-critical applications where consistency matters as much as speed. Through real-world examples and performance benchmarks, learn how to identify workloads that benefit most from LPU acceleration and how to integrate this technology into your existing agentic AI pipelines. Leave with actionable insights on when, where, and how to deploy sequential processing technology for agentic systems where every millisecond of latency directly impacts user experience and agent effectiveness.
1:25 pm
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2:10 pm
Main Room
1:25 pm
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2:10 pm
Grab a snack, refill a beverage and take a minute to yourself in-between breakout session. Our Snack Break is sponsored by Grammarly!
2:10 pm
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2:20 pm
Main Room
2:20 pm
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3:05 pm
Breakout Room 1
What if your digital assistant could not only track your health data but also offer personalized wellness recommendations that evolve with you? This talk explores the process of building and evaluating a personal AI wellness agent—a cutting-edge companion that uses data from wearables like Apple Health and Oura to guide users toward healthier lives.We’ll take you through the journey of designing and developing this AI agent, focusing on data integration, personalized feedback, and AI-driven insights. From setting up data pipelines to designing meaningful, actionable recommendations, we’ll show you how the agent adapts to individual users’ health needs, learning from their data over time.But creating the agent is only half the story—evaluating its impact is where the true value lies. How do we measure success? Through real-world examples, we’ll cover key metrics such as recommendation accuracy, user engagement, and goal achievement rates. We’ll delve into how to use behavioral data, user feedback, and expert validation to assess whether the agent is truly making a difference in users’ wellness journeys.This talk will provide practical insights for anyone looking to design, build, or evaluate a wellness-focused AI, offering a comprehensive approach to both the creation and assessment of AI-driven personal health solutions.
2:20 pm
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3:05 pm
3:05 pm
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3:15 pm
Main Room
Agentic AI is the next frontier—AI that doesn’t just follow commands but reasons, adapts in real time, and drives outcomes with minimal hand-holding. Unlike traditional models that wait for input, agentic AI takes initiative, learns from its environment, and collaborates dynamically to automate complex workflows. For companies, this means faster decision-making, smarter automation, and AI that scales with the business. Context and data will be key as organizations build and deploy agentic systems. Evaluating these systems at scale will be critical to managing risks.
3:15 pm
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4:00 pm
Main Room
4:00 pm
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4:05 pm
4:05 pm
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5:30 pm
