Systems | Development | Analytics | API | Testing

Build an AI Analyst Your Team, or Your Customers, Can Trust

You can get an AI Analyst from most of the players, or you can try to build one yourself. Fewer let you decide what it knows, what it can touch, and who can use it. And even fewer still let you define what it won't do. You need all three before you hand one to a team or put one inside your product. In most of the product experiences, your AI analyst's context had two homes: one expert's head, or org-wide instructions.

Ep 96 | Leaving the Sandbox: AI In the Real World

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.

Governed End to End: How Spotter Analysts Control Data Access

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.

Why B2B Software Is Being Judged by B2C Standards

The bar for B2B software is being set by B2C experiences. In this clip, Kim Faura, former Managing Director at Gumtree, joins ThoughtSpot's Jane Smith and Mark Hill-Smith to talk about what this expectation shift means for product teams, and what it takes to close the gap between what B2B tools deliver today and what users now expect.

New: Give Your AI Analyst the Context to Explain Performance and Help You Take Action

You open your performance dashboard and notice that your sales pipeline has dropped 15% since last week. You can see the decline, but the numbers alone don’t explain what caused it. Maybe several deals were pushed into next quarter, your team lost a major opportunity, or a campaign generated fewer qualified leads than expected. The answers are likely somewhere in your CRM, project management tool, or conversations your team has been having.

MCP vs. API: What's the Difference and When to Use Each

An API is a defined way for one piece of software to request data or actions from another. The Model Context Protocol (MCP) is an open standard that gives AI agents a consistent way to discover and use tools and data sources, so they don't need a custom integration for each one. The short version: MCP doesn't replace APIs. Most MCP servers call APIs behind the scenes. What MCP changes is who the interface is designed for. APIs are designed for developers who read documentation and write code.

AGNTCon + MCPCon Europe 2026: five takeaways

Two days at RAI Amsterdam (17–18 September), nearly a hundred sessions, and energy throughout the hallways. AGNT Con + MCPCon Europe is the Agentic AI Foundation's flagship event under the Linux Foundation, and this year it consolidated the European MCP content that previously lived at MCP Dev Summit Europe. If you care about MCP, this was the place to be.

[Webinar] Delivering HIPAA X12 Compliance with EDI Agent

Fixing 834 enrollment files, rejected 837 claims, and HIPAA X12 validation errors can consume hours every week. Every new trading partner or requirement can mean more mapping, validation, testing, and troubleshooting for healthcare EDI teams. Astera EDIConnect helps take that work off your team. Teams can automate workflows that parse and validate HIPAA X12 transactions in a no-code, drag and drop interface. Its built-in EDI Agent helps teams create and adapt flows faster, without relying on custom code or specialized EDI resources.

Introducing ARIA

What if you could build a data pipeline by just describing it in plain English? Sudais sits down with Maha, Astera's AI evangelist and one of the thought leaders behind ARIA, to talk about Astera's helper agents: what they are, why we built them, and where they're heading. ARIA is a set of specialized agents for Astera products like Centerprise and ReportMiner. Describe what you want, like migrating data from a SQL database to Snowflake, and the agent configures the pipeline for you.

The Campaign Brief Agent That Saved Weeks of Work

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.