AI Tech Leaders' Club, Q3 2026: Building Continuously Improving AI Systems
Q3 Theme: Building Continuously Improving AI Systems
Nearly every enterprise has now shipped something powered by AI. Far fewer have built the machinery that makes it measurably better every week. Join 150 to 200 senior AI and engineering leaders for an evening on the harness, the evals, the metrics, and the feedback loops that separate systems that compound from systems that quietly degrade.
The hard part is no longer the demo. Shipping an AI system is now table stakes. What separates the teams pulling ahead from the teams stuck at seventy percent is whether they built the infrastructure of improvement: the harness, the evaluation frameworks, the quality metrics that actually mean something, the feedback loops, and regression testing for systems that refuse to be deterministic.
Almost nobody discusses this publicly. It is unglamorous, and the people who have solved it are busy. That is exactly why we are putting it on stage.
What we will go deep on:
🔧 Harness design. How teams instrument AI systems so improvement is measured rather than felt.
📊 Evaluation frameworks. Building evals that survive contact with production instead of becoming theater.
🎯 Quality metrics beyond accuracy. What leaders actually track when outputs are probabilistic.
🔁 Feedback loops. Converting user signal, human review, and failure cases into a real improvement flywheel.
🛡️ Regression testing for non-deterministic systems. Shipping with confidence when the same input can produce different outputs.
Confirmed Panelists
Animesh Singh
Senior Director, AI and Machine Learning Platform, LinkedIn. Founder of KServe and Liger, former LF AI Trusted AI North America Chair, ex-{IBM Watson AI, where he was Distinguished Engineer, CTO and Senior Director}
Luke Simon, PhD
Director of AI Research, Meta. Leads research on ranking and recommendation systems at Meta scale, including reinforcement learning and LLM-based approaches to retrieval and re-ranking. Ex-{LinkedIn, Twitter, Microsoft Bing}
Praful Krishna
Product Management Director, Core Labs, Google, leading enterprise AI products. Founder and former CEO of Coseer. Ex-{Haptik, where he was Chief Product Officer}
Asuman Suenbuel, PhD
Global CTO, SAP Analytics at DXC Technology. AI, NLP and robotics researcher, product builder, and startup ecosystem leader.
Helen Gu, PhD
Founder and CEO, InsightFinder, and Professor of Computer Science at North Carolina State University. Her research group's unsupervised anomaly detection work was licensed by Google. Ex-{IBM T.J. Watson Research Center}
Moderator
Sam Hamilton
Board Member, Advisor and Investor across Data and AI. Most recently SVP and Global Head of Data and AI at Visa, ex-{PayPal, Yahoo, Shopping.com, Informix}
More to be announced shortly
Agenda
5:15 PM Check-in opens
5:30 PM Networking and dinner
6:30 PM LinkedIn Lightning Talk
6:33 PM Panel discussion: Building Continuously Improving AI Systems
7:30 PM The Perspective Pivot: facilitated small-group problem solving on your live challenges
8:30 PM Closing remarks and open networking
9:00 PM Close
🍷 Gourmet food and beverages served throughout the evening.
What You Get Out of the Evening
🎤 A panel of practitioners, not presenters. People who have built and operated these systems at scale, answering real questions.
💡 The Perspective Pivot. Bring a problem you are actually stuck on. Leave with ideas from peers who have solved a version of it.
🤝 High-caliber networking. Your peer group from Amazon, Apple, Cisco, Google, IBM, Intel, LinkedIn, Meta, Microsoft, NVIDIA, Pinterest, Salesforce, SAP, ServiceNow and Snowflake.
🔒 A room without noise. No vendors working the crowd. No sales from the stage.
Who Can Attend
🚀 By approval only, and stricter this quarter.
Seating for Q3 is meaningfully more limited than our recent Clubs, so approval will be tighter than it has been in the past.
For this session, admission is limited to:
Senior Director level and above in Engineering and Product
Staff and Distinguished Engineers and equivalent senior individual contributors
Investors at Principal level and above at AI and deep tech focused funds
Current or recent (within three years) leaders in these roles are eligible.
Approval decisions are based on your LinkedIn profile, so please make sure the profile linked to your registration is current, or we may not be able to approve you.
Capacity is limited, past Clubs have sold out, and this one will likely close early. Register now.
Past Speakers Include
Manohar Paluri (Meta), Pravir Gupta (Google Cloud), Dwarak Rajagopal (Snowflake), Armand Ruiz (IBM), Bob Friday (Juniper Networks), Burak Gokturk (Google Cloud AI), Anil Kamath (Adobe), Mita Mahadevan (Pinterest), Nenshad Bardoliwalla (ServiceNow), Emrecan Dogan (Glean), Svetlana Sicular (Gartner), Siddharth Shah (Palo Alto Networks), and many more.
See the full roster and past Club highlights at aileadersclub.org
📺 Watch the highlight reel from our sold-out Q1 Club at Google Cloud HQ
Hosted By
LinkedIn is the world's largest professional network, connecting over a billion members worldwide, and operates one of the most sophisticated AI and machine learning platforms in production today.
Gold Sponsor
InsightFinder builds AI and IT observability for enterprises, using patented unsupervised machine learning to detect, diagnose and remediate model drift, LLM hallucinations, data quality failures and infrastructure incidents in production. Their platform is the working version of tonight's theme: catching degradation before users feel it.
About Us
The AI Tech Leaders' Club is a program of FutureTech Alliance, a U.S. 501(c)(3) nonprofit dedicated to accelerating innovation and collaboration across emerging technology ecosystems. All Club activities are mission-aligned, non-political, and educational in nature.
Questions? Reach out to Jay Chodagam at jay@aileadersclub.org