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Toronto : October 29, 2026

Keynote Speaker

Eddie Shochat

VP of Engineering, Digital Products Delivery & Platforms, Planview

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Featured Speakers

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Nitya Nalamaria

Senior Consultant, Machine Learning & AI,  MNP Digital

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Ben Alabaster

Founder & Principal Consultant, Resolutium Group

Featured Speakers

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Dr. Emily Carter

Chief AI Scientist, OpenAI

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Elon Park

CTO, DeepMind

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Laura Kim

AI Policy Advisor, EU Commission

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Dr. Alan Foster

Stanford AI Lab

Tutorial Speakers

Dr. Emily Carter

Chief AI Scientist, OpenAI

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Professional portrait of a smiling woman with long hair, arms folded in a studio setting.
Elon Park

CTO, DeepMind

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Black-and-white portrait of a smiling man wearing glasses and a hat, in a dark sweater, with a watch on his left wrist and a camera visible at the edge of the frame.
Black-and-white portrait of a smiling man wearing glasses and a hat, in a dark sweater, with a watch on his left wrist and a camera visible at the edge of the frame.

Panel Discussion Speaker

Ben Alabaster

Vice President Infrastructure & Product Development, ApplyBoard

I am an engineering and product executive with a Ph.D. in Computer Science and over 15 years of experience leading global teams through massive technological shifts. My focus is entirely on enterprise scale: taking complex, high-stakes AI architectures and turning them into secure, reliable production systems that protect and run multi-million dollar business lines.

At ApplyBoard, I lead our global Product and Infrastructure organization. Over my tenure, we have scaled from localized engineering groups into a unified, product-led enterprise. I look at AI transformation through a commercial lens—not as a collection of cool tools or standalone prototypes, but as a core operational strategy. By replacing legacy business processes with autonomous multi-agent frameworks and building our own contextual SDLC automation platforms, my teams don’t just ship faster code; we systematically remove operational friction and scale back structural overhead by millions of dollars.

Because we operate in high-volume, mission-critical environments, I am obsessed with production rigor and system reliability. My research and applied engineering background—including our team’s recent IEEE best paper on mitigating the AI ‘silent failure’ problem—focuses on embedding absolute predictability into generative AI pipelines. I partner with CEOs, founders, and executive boards to deliver the strict LLMOps governance, cost containment, and platform infrastructure required to safely scale and monetize AI across the enterprise.

Outside my core role, I am passionate about supporting the broader tech ecosystem through:

✨ Startup advisory in product-led growth, engineering scale, and AI adoption
🚀 VC technical guidance and due diligence for early-stage investments
🤝 Board-level mentorship for founders navigating growth and enterprise tech strategy

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Timothy Beamish

Principal Engineer, Thinkific

Timothy is a Principal Engineer, Web Architect, and Generative AI technologist focused on the future of software development. His work spans online learning, medical research, high-performance web applications, and distributed systems, with a growing focus on agentic engineering. He designs harnesses that integrate AI throughout the software journey, from intent to production, exploring how AI can fundamentally change how software is conceived, built, and maintained.