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Attendees at Saas Monster stage during day two of Collision 2023 at Enercare Centre in Toronto, Canada

In the age of AI, data is the fuel, but trust is the engine. As organizations pivot to AI-first strategies, the relationship with the consumer has reached a critical inflection point. It is no longer enough to be legally compliant; brands must be ethically resonant. This session dives into the architecture of "Data Done Right" exploring how companies can leverage massive datasets to power AI innovation without sacrificing the privacy or confidence of the individuals behind the numbers.

Data done right: Earning consumer trust in an AI-first world?

Over the past year, the dominant AI conversation centered on the advancements of large language models. But a parallel shift is unfolding in generative visual models with its own distinct set of challenges. Text is rich in semantics but capped there. Pixels carry far more raw information, but extracting useful signals at scale is far less straightforward. 
In this fireside, Tim Dockhorn will unpack what it actually takes to train and deploy frontier multimodal systems in 2026. He’ll discuss how Blackwell-class hardware is reshaping model architecture and scaling decisions; why image generation remains far from a solved problem; and how visual pre-training is evolving into a foundation for more advanced capabilities, from video understanding to robotics and world models.

What it actually takes to train frontier models

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Check out the 2026 schedule

Data done right: Earning consumer trust in an AI-fir...

What it actually takes to train frontier models

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