These are the areas where we've built real depth through years of vendor briefings and buyer conversations, and where that depth translates into genuine strategic value for the companies we work with.

Data Platforms and Modern Data Architectures

The data platform market is going through a generational shift. Cloud-native warehouses, lakehouses, databases, real-time pipelines, and converged analytical engines are redefining what it means to build an enterprise data foundation. But a modern data platform is more than just a query engine. It's the full stack of capabilities that make data usable — data quality, governance, transformation, integration, and cataloging — all working together. The vendors winning in this space are the ones that connect that full architectural picture to the business outcomes buyers actually care about: cost efficiency, performance at scale, and the ability to support AI workloads without rearchitecting everything.

Data Lakes & Lakehouses Data Warehouses Databases Data Streaming Data Transformation (ETL/ELT) Data Integration Data Governance & Catalog Data Orchestration Data Quality & Observability iPaaS API Management Workflow Orchestration

Analytics and Business Intelligence

Enterprise analytics stretches well beyond dashboards and reports. It includes the full landscape of analytic applications, from BI platforms and semantic layers to CRM, ERP, and customer analytics, anywhere organizations are trying to turn data into decisions. The customer experience dimension is increasingly central, as buyers expect analytics embedded directly into the workflows and applications where decisions actually happen. At the same time, AI is reshaping every layer. Natural language interfaces, AI-native semantic models, and agentic analytics that don't just surface insights but act on them.

Business Intelligence & Reporting Data Visualization Semantic Layers Embedded Analytics Customer Analytics & CX Enterprise Applications (ERP, CRM, HCM) Decision Intelligence Product Analytics

Artificial Intelligence Across the Full Stack

AI is reshaping enterprise technology from the silicon up. We cover the full stack, from the infrastructure powering AI workloads to the platforms where models get built, trained, and deployed, to the governance and safety layers that make production AI trustworthy. Every layer is evolving fast, and the companies building at any level need to understand how the layers above and below them are shifting. That architectural awareness is what separates vendors with a real strategic story from those just riding the hype cycle.

Enterprise AI Platforms Agent Platforms & Tooling MLOps AI Observability & Evaluation AI Safety & Governance Data Science & ML GPU Cloud & Deployment Model Serving & Inference AI Hardware Edge AI