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35

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October 01, 2026
Seattle

AI Accelerator
Summit

Power deployable AI with high-performance, cost-effective hardware.

Break down the computing paradigm shift staring back at the tech industry, as demand for power rockets alongside relentless innovation.

Explore the forefront of hardware acceleration progress. From specialized processing units to high-bandwidth interconnects, fine-tune your infrastructure to cater to compute-intensive generative and multi-modal applications.

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Chief AI Officer Summit

Providing C-level execs with a comprehensive roadmap to execute on the use, adoption, & safeguarding of AI applications [invite only].

“

Generative AI Summit

From infrastructure to train, fine-tune, & deploy multimodal AI, to robust methodologies for LLM observability & security.

“

Computer Vision Summit

Deploy and scale pioneering vision use-cases in a field advancing with generative AI & synthetic data & real-time object detection.

October 01, 2026
Seattle

Generative AI Summit

AI Accelerator Summit
agenda at a glance

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What's on
Main Stage
Networking opportunities
October 1
October 1
October 1
08:00
Networking opportunities
Registration & networking breakfast
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08:55
Main Stage
Welcome to Generative AI Summit
Jordan Dunne, Co-Founder, AI Accelerator Institute
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09:00
Main Stage
Seattle, AI & the necessary guardrails to ensure ethical and effective use
Rashmi Rao, Healthcare Executive (SVP); Investor
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09:30
Main Stage
The intelligent enterprise: Driving impact with next-gen agents
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10:00
Main Stage
Brains behind the bots: AI agents driving next-gen retrieval systems
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10:30
Networking opportunities
Coffee break
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11:00
Main Stage
How to build apps whilst prioritizing LLM performance
Harsh Nilesh Pathak, Senior Machine Learning Scientist, GoDaddy
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11:50
Main Stage
Accelerating contextual AI
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12:10
Main Stage
Building reliable AI workflows
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12:40
Main Stage
Panel | Human oversight and LLMs: How to ensure alignment, safety, and trust
Rishu Agrawal, Senior Machine Learning Engineer, Meta
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13:00
Networking opportunities
Lunch break
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14:00
Main Stage
Workshop | LLMs in Practice: A four-step journey from idea to implementation
Anni Chen, Software Engineer, Amazon
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15:00
Main Stage
Workshop | Architecting agentic products for multilingual, multi-market reach
Ben Morss, AI/ML, Developer Advocate, DeepL
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15:20
Main Stage
Panel discussion | LLM Evaluation: frameworks, metrics, and best practices
Alexei Robsky, Senior Director, Data Science and AI, Microsoft
Prag Batra, Senior Software Engineer, xAI
Jayant Jitesh, Distinguished Software Engineer, Agentic AI Platform, Walmart
Steve Evans, SVP, Engineering, Chegg
Victor Arango-Quirog, Machine Learning Scientist II, Expedia Group
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15:40
Networking opportunities
Coffee break
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16:00
Main Stage
How misinformation is identified, classified and corrected through multi-agent systems
Aditya Gautam, Tech Lead, Machine Learning, Meta
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16:20
Main Stage
Structured LLM function-calling to orchestrate product retrieval, eligibility checks & purchase flows
Mitesh Shah, Product Lead, AI Personalization & Agentic Commerce, PayPal
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16:40
Main Stage
Closing remarks
Jordan Dunne, Co-Founder, AI Accelerator Institute
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16:45
Networking opportunities
Happy hour
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Build. Deploy. Drive value.
An assembly of industry's builders & execs.

Enterprise demands agents & apps that are cost-effective, powerful & responsible.

Join your builder community for a day of real talk, deep-tech demos, and whiteboard magic — and walk away ready to:

→ Conquer blockers in infrastructure, data layer & deployment.

→ Remain competitive, having assessed the latest releases & stack.

→ Leave with 100s of local applied builders & execs in your phone book.

Seattle
October 1, 2026

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Summit
location

Hilton Denver City Centre

1701 California Street, 80202 Denver, United States

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Sheraton Centre Toronto Hotel
123 Queen Street West
M5H 3M9
Toronto
Canada

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