Canisius and Bill dug into the whole on-prem vs cloud debate through the lens of AI, pointing out that massive compute needs and generative models pretty much force serious work into the cloud, with most operators moving to a hybrid setup rather than pure on-prem or multi-cloud. They spent a lot of time on trust, encryption, and data ownership, stressing that customer data stays isolated, is not used to train models unless you opt in, and that Microsoft’s job is to be the secure, scalable platform while companies like Collide handle the oil and gas specific workflows and “last mile” value. They also hit on why “we already have Azure and Copilot” is not the same as having a purpose-built solution, why a single-cloud plus good governance usually beats juggling multiple hyperscalers, and closed with a look ahead to a world where agents manage other agents and AI is wired into everyday work across legal, operations, and the field.
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