Systems | Development | Analytics | API | Testing

Before any data leader deploys an AI analyst, they ask the same question: what can it touch? In this video, see how Spotter Analysts are governed end to end. What you’ll see: → How admins control which certified models a Spotter Analyst can read→ How data access travels with a shared analyst→ How “show work” traces every answer back to its source→ What governed end to end means in a production agentic analytics environment.

The AI worked in the sandbox. Then it met the real world. David Hardoon learned that lesson during an ATM optimization project designed to improve cash-delivery routes. Once deployed, the system collided with traffic and unpredictable schedules, which are the realities that face the people doing the work. Recorded at *EVOLVE26* Singapore, this episode of The AI Forecast brings Paul Muller together with David Hardoon, Head of Advanced AI at Accenture, to explore why the human side of AI transformation can determine whether promising technology ever delivers value in production.

Is hands-off AI adoption turning your business into the "Wild West?" Handing out credit cards for unlimited tokens without proper guard rails is a recipe for failure. Discover why establishing best practices and security rails is essential as AI agents transform the enterprise.

Mariam el Baghdady (Manager, Digital Marketing, Snowflake) shows how AI changed two of her most time-consuming tasks: weekly performance reporting and quarterly forecasting across 20+ countries. The old reality: spending hours formatting data just so she could talk about it. Now a weekly HTML report in CoCo flags what needs attention across channels and regions in minutes, and a forecast that used to take nearly a full week turns around in a fraction of the time. She also shares how she got there with no technical background whatsoever.

Every campaign launch comes with the same overhead: write the brief, rewrite it for creative, rewrite it again for email ops, digital, and whoever else needs a version of it. Multiply that by every campaign your team runs, and weeks disappear before the work even starts. In this clip from the Thought Tank: Marketing in the Age of Agents, ThoughtSpot SVP Marketing EMEA Katie Marcham and CMO Micheline Nijmeh share the agent that changed that.

Marketing teams spend more time waiting on ops tickets to segment their database than they do actually running campaigns. By the time the segmentation comes back, the brief has changed, the moment has moved on, and someone is already asking for a revision. In this clip from the Thought Tank: Marketing in the Age of Agents, ThoughtSpot SVP Marketing EMEA Katie Marcham introduces the agent her team built to change that. They call it Slicy McSliceface, and it does exactly what the name suggests.

AI costs are unpredictable and behave nothing like traditional cloud spend. FinOps teams face new challenges: opaque model pricing, and hidden costs in places like prompt design and context length. In this session, our Head of AI, Prajakta, will show you how to bring FinOps discipline to AI costs: how to see them, attribute them, and optimize them. She’ll give you practical levers that can cut AI costs by 20 – 80%.

AI and jobs… the topic that’s top of mind for everyone, yet most organizations are asking the wrong questions. The conversation usually starts with cost cutting: how do we reduce headcount, automate repetitive tasks, trim the budget? Jeff McMillan, founder of McMillanAI, thinks that's the wrong frame entirely. He shares what the better questions are in this clip from The Data & AI Chief podcast.