Join Denys Linkov, Diego Oppenheimer (Head of Product, Hyperparam), and Priyankya Somrah (Principal, Work-Bench) as they discuss insights from the Benchmark Report on Agentic Ops, a first-of-its-kind look into how teams are actually building and deploying agentic systems.
This will be an engaging discussion on the evolving role of agents in modern workflows, including where traditional automation fits in, emerging tooling gaps, the shift toward non-deterministic design, and long-term architectural implications for teams building at scale.
Whether you’re just starting to build agentic systems or scaling them in production, this lively chat will offer a glimpse into what these top AI practitioners think about the report what’s likely to come next.
The discussion will be followed by a live audience Q&A.
Head of Machine Learning at Wisedocs and AI Lead at Voiceflow, Denys is a leading voice in applied LLM systems and conversational AI. He teaches ML at the University of Toronto and speaks frequently on topics like context engineering, LLM observability, and evaluation metrics.
Diego is a veteran product leader in enterprise AI, known for co-founding Algorithmia and serving as EVP at DataRobot. With roots at Microsoft and a sharp focus on scalable ML platforms, he’s a frequent speaker on MLOps, AI commercialization, and product-driven innovation.
A Principal at Work-Bench, Priyanka invests in early-stage startups at the intersection of cloud infrastructure, data, and developer tools. She authors The Data Source newsletter and brings deep curiosity and technical insight to the enterprise AI and infra space.
Our next flagship event is taking place October 7–9 at the Austin Renaissance Hotel. Join us for real-world case studies, hands-on workshops, career-defining meetups, and more. Tickets on sale now
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TMLS is a global community for AI Engineers, Data Scientists, ML Engineers, Full-Stack Developers, infrastructure teams, and entrepreneurs. We share lessons, support each other’s growth, and stay grounded in what actually works. Through peer-curated events like TMLS Summit (June, Toronto) and MLOps World (October, Austin), free online learning sessions, and exclusive resources, we help teams deliver and scale AI projects safely and responsibly. In a space moving as fast as artificial intelligence, context is everything. Our mission is to help top practitioners find it.
