Executive summary: Utilities have no shortage of AI use cases, but most efforts fail to change how work actually gets done. Approaches that start with capabilities tend to stall, while those that begin with existing workflows create a clear path to operational impact....
Bridge the gap between AI ambition and operational reality Utilities know AI holds potential … but pilot purgatory and fragmented initiatives keep that potential out of reach. Despite years of experimentation, most AI efforts remain disconnected from capital...
3-minute read As enterprises scale artificial intelligence (AI) across core operations, many focus on infrastructure, model development, and data integration. Yet one critical layer often remains underexplored: the runtime control plane. In a recent Fast Company...
Executive summary: As 2026 gets underway, AI is no longer defined by experimentation alone. Data and AI leaders are under increasing pressure to rein in costs, demonstrate ROI, and build foundations that can withstand scrutiny. These three trends reflect the realities...
Executive summary: In 2026, digital strategy is shifting from AI experimentation to durable operating models that embed AI into core business processes. This article outlines five trends shaping that shift, from modular agent design and reusable components to...
