Ep 92 | Making AI Fluent in Your Business

Every new AI chat is another first day on the job. Rob Collie describes today’s general-purpose AI as a brilliant new hire who wakes up on their first day every time you start a new conversation. It may understand your industry, but your workflows and business context have to be explained all over again. In this episode of The AI Forecast, Paul Muller speaks with Rob Collie, founder and CEO of P3 Adaptive, former Microsoft product leader for Excel and Power BI, and author of “Fair Game: Bringing AI Into Reach for All Business” to explore why business context can make or break enterprise AI.

[AgentSpot Showcase Series] - Deal Sherpa Sales Agent

See how AgentSpot can bring real-time support into the sales process. Deal Sherpa pulls together account context, surfaces gaps and risks, and recommends what to do next. See how it works and what it looks like in action. What is AgentSpot? AgentSpot is multiplayer AI for your business. Anyone can build, share, and collaborate with AI agents connected to your company’s data, context, and tools.

[AgentSpot Showcase Series] - Product Decoded Customer Success Agent

Watch how Liz Johnston uses AgentSpot to turn technical product updates into digestible, ready-to-share content for her customers. The Product Decoded agent pulls together key details and creates a Google Doc, branded PDF, and email-ready HTML. One prompt, three deliverables ready to go. What is AgentSpot? AgentSpot is multiplayer AI for your business. Anyone can build, share, and collaborate with AI agents connected to your company’s data, context, and tools.

[AgentSpot Showcase Series] Solutions Engineering Allocation Workflow

See how this AgentSpot workflow takes the manual work out of SE allocation. It looks at the request, region, expertise, and calendars to recommend the right SE for the job. Then it sends the recommendation straight to Slack. What is AgentSpot? AgentSpot is multiplayer AI for your business. Anyone can build, share, and collaborate with AI agents connected to your company’s data, context, and tools.

Stop Moving Enterprise Data: A Better Way to Run AI

Copying enterprise data to run AI is officially dead. Most platforms force you into a risky "lift and shift" trap—shuffling petabytes of protected data into the public cloud, exposing sensitive PII, and burning budgets on massive egress fees. As we’re on the ground with ServiceNow in Chicago this week, we’re taking a closer look at how the Cloudera Workflow Data Fabric Zero Copy Connector for @ServiceNow helps AI agents query governed data directly where it resides — enabling organizations to automate workflows while reducing the cost, complexity and risk of data movement.

From Dashboards to AI Agents: Huel's Analytics Journey

You’ve rolled out a modern data stack, built self-service dashboards, and empowered your team to ask their own questions. Job done, right? Not quite. The data landscape is shifting rapidly beneath our feet, which makes it critical to understand how to build your AI for BI platform so you can scale and navigate technology evolutions.

From Experiment Tracking to AI Factory: What Changes When AI Becomes a Shared Enterprise Capability

The term “AI factory” is usually introduced as a hardware story: racks of accelerators, high-speed networking, and validated reference designs. That part is real, but it is not the part most organizations struggle with. The harder shift is operational. Moving from AI as a set of individual experiments to AI as a shared, governed capability that many teams depend on changes how compute is allocated, how environments are built, who owns the platform, and how the work is governed.

How to Build a Marketing Dashboard in One Conversation

Describe the metrics in plain English. AI Analyst builds them, assembles the dashboard, and next month’s report starts from this month’s build. To build a marketing dashboard in one conversation, describe each metric you need to AI Analyst inside Databox in plain English, confirm the components it proposes, and ask for a dashboard assembled from the metrics you defined.