Systems | Development | Analytics | API | Testing

5 Signs Your EPM Can't Scale With Your Growth

High-growth companies move fast. Headcount doubles. New markets open. Acquisitions close. And somewhere in the middle of all that momentum, your finance team is still manually stitching together spreadsheets, waiting on IT to refresh data, and running planning cycles that take longer than they should. The problem often isn’t your people, it’s your Enterprise Performance Management (EPM) system. The platform that served you well at $50M in revenue can become a serious liability at $200M.

Questions to Ask AI About Your Sales Pipeline and CRM Data

The right question returns a deal name, an owner, and a dollar value. The wrong one returns a framework about pipeline health. The difference is not the model, it’s how you ask. It’s 7:47am Monday. Your pipeline review starts at 8. You have thirteen minutes to find out which deals need attention, which reps are behind pace, and whether you’re actually going to hit the number this quarter.

Data & AI Anywhere: Mastering Digital Sovereignty with Cloudera

Hey, did you know?... Cloudera's "anywhere" approach means *you* get to choose and control where you deploy your data and AI. Continue watching to hear how we make that possible. In this video, learn how Cloudera helps organizations maintain comprehensive control over their most valuable assets through three critical pillars: Chapters.

Agentic Analytics in Practice: How AI Moves from Answering Questions to Closing the Loop

I spent years building dashboards that nobody used. Not because they were bad dashboards — they were actually pretty good. Clean visualizations, real-time data, all the metrics leadership said they wanted. But here’s what I learned: the problem was never the dashboard. The problem was the gap between seeing what happened and doing something about it. You look at a dashboard. It doesn’t act.

The Last (and Longest) Mile of Apache Kafka Migrations: Client Migrations With KCP and Confluent Cloud Gateway

In a previous blog post in this series, we introduced Kafka Copy Paste (KCP), an open source CLI tool that automates the discovery, provisioning, and data migration steps of moving your Apache Kafka environment to Confluent Cloud. We walked through how KCP and Cluster Linking work together to reduce a process that traditionally took weeks to a matter of hours. At the end of that post, we hinted that automated client migration was coming soon. That day has arrived.

Sustainability from the Boardroom to the Control Plane

The definition of sustainability is being re-written in the age of AI. Yes, the current discourse that focuses on green IT considerations, including resource efficiency, carbon accounting and water use, is necessary. But it is incomplete. Sustainability in the age of AI implies sustaining the long-term flourishing of people, businesses, societies, and planetary systems together, not just minimizing energy use or carbon.

How Semantic Layers and Ontologies Create Trusted AI

Learn why an organization’s ontology, a structured framework for how a business defines, connects, and makes sense of its data and knowledge, is the most valuable and most overlooked asset in any AI strategy. Jessica Talisman, CEO and Founder of The Ontology Pipeline, and Tony Seale, Founder of The Knowledge Graph Guys, break down what it actually takes to build trusted AI, covering everything from semantic layers and knowledge graphs to why provenance is non-negotiable.

Ontology: The Secret to Semantic Layers | The Data & AI Chief Podcast

Is your AI-driven "autonomous enterprise" a reality or a peak-of-inflated-expectations dream? Most organizations rush toward the end state of AI agents without doing the foundational work of defining how their data actually relates through a robust ontology. In this episode of The Data & AI Chief, we sit down with Tony Seale, Founder of The Knowledge Graph Guys, and Jessica Talisman, CEO and Founder of The Ontology Pipeline. We break down why the "lost art" of data modeling and the development of semantic layers are the secret weapons for scaling Agentic Analytics.

Stop the AI Iceberg | Secure AI Using Ontologies and Semantic Layers

Don’t let the "AI iceberg" sink your IP Most leaders only focus on the flashy models at the surface, but the real value—and the risk—is what’s underneath. Tony Seale and Jessica Talisman reveal why turning AI back onto your own data infrastructure to build connected ontologies is the key to security. This semantic foundation is the core of Agentic Analytics, ensuring your insights are grounded in your specific business logic rather than generic LLM guesses.