AI Is Moving Fast. Is the Enterprise Keeping Up?
Four observations from ODSC West: the gap between AI vendors and enterprise adoption, BigQuery’s ML ambitions, AI sovereignty, and the emerging discipline of agent reliability.
Four observations from ODSC West: the gap between AI vendors and enterprise adoption, BigQuery’s ML ambitions, AI sovereignty, and the emerging discipline of agent reliability.
You cannot stop employees from using AI. An independent safety layer lets them use Claude Dashboards while the enterprise controls database access, query execution, and reusable reasoning.
A lesson from the boatyard: powerful enterprise AI needs human visibility, judgment and control—and a memory for the reasoning people and AI create together.
Meaningful human judgment requires more than approving AI output. Humans need to understand, shape, and reuse the reasoning behind consequential decisions.
Knowledge flow and human/AI collaborative reasoning create an opportunity for compounding knowledge and continuous organizational learning.
Even if AI will not destroy the world, there is work to do. Human judgment must actively shape the reasoning behind business decisions.
Slowing AI down buys us time. Getting humans ahead requires AI, software, and humans to reason together.
Keeping humans around is not enough. Human judgment must become part of AI reasoning—and part of the organization’s reusable intelligence.
Autonomous agents can decide how to execute, but the enterprise must continue to define what they are executing and why. They need the equivalent of a skipper’s standing orders—not just permissions and guardrails.
On a boat the navigation log belongs to the boat, not the autopilot. Agent memory works the same way: the organization paid for the model, the data and the expertise, so the reasoning and the lessons should outlive whichever agent happens to be steering.