Most organizations have more data than they can use and less insight than they need. Our perspective below explains what decision intelligence is, why siloed data is the primary obstacle to it, and how CEOs and COOs can close the gap between data investment and decision quality.
Financial services firms invest heavily in data modernization, yet consistently underestimate the difficulty of execution. Our perspective examines the most common failure patterns across banking, insurance, and wealth management and provides a practical framework for CIOs and CTOs to avoid them.
Most organizations deploy RPA when they need AI or reach for AI when a simple bot would do. Here is our perspective as we provide a practical, three-question framework for choosing between RPA, AI, or a hybrid approach, and a 30/60/90-day pilot structure to get each option right from the start.
No single platform does everything well. The organizations extracting the most value from their data investments in 2026 are those that have stopped looking for a single answer and started building a coherent stack. Azure and Fabric for integration and BI, Databricks for data engineering and AI, and Power BI as the governed consumption layer that connects it all to the business.