Kpler Executive AI Breakfast | NYC
Synopsis
You're invited to an exclusive executive breakfast with the Kpler leadership team to discuss where AI is taking commodity intelligence next. Expect live tools, real market data, and a direct conversation on what it takes to build AI you can trust.
* Seats are limited and by invitation only.
Event details:
- Date: Thursday, October 22, 2026
- Location: The Modern at MoMA
- Address: 9 West 53rd Street, New York, NY 10019
- Time: 8:00am - 10:00am
Highlights
Kpler AI Vision
Why Kpler is betting on AI across the entire product line, and where that strategy is headed next.
Introducing Kpler Builder: Flexible, Data-Native AI Workflows
The design philosophy behind Builder, and why now is the moment for a new layer that turns Kpler data into custom, self-serve outputs.
The Kpler AI Product Suite: From Copilot to Connectors
A guided tour of Copilot, Builder Mode, and MCP tooling, and how they come together for traders, analysts, and partners.
Live Demo: AI in Action on Real Market Data
A live commodity and maritime query solved end to end with the tools just introduced, hands-on and in real time.
Kpler x AWS: Scaling AI Internally
How Kpler built and scaled its internal AI workflows on AWS, from an engineering and operations standpoint.
AI, Data Security & Trust
Data handling, model governance, and security posture, addressing the trust question every executive in the room will be asking.
Meet the speakers
Scott Sherwood
Scott is a technology leader with a proven track record of building and scaling globally distributed engineering teams. Over two decades, he has evolved from academia and entrepreneurship to executive leadership, driving innovation in data intelligence and commodity markets. Before joining Kpler in 2022, Scott was VP of Engineering at Wood Mackenzie, where he led development of Lens, their data and analytics platform. At Kpler, he has rapidly scaled the engineering team and built systems processing billions of real-time data points daily, enhancing data-driven decision-making for global markets. With deep expertise in AI, big data, and scalable systems, Scott leverages technology to drive customer-centric solutions in commodity trading.
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