The 2026 Databricks Customer Awards recognize ten organizations across financial services, healthcare, manufacturing, retail, energy, and more for using data and AI to solve industry-specific challenges and deliver measurable results.

Databricks announces 10 winners of the 2026 Customer Awards, recognizing organizations across industries such as energy, semiconductors, dairy, and nonprofits for using data and AI to solve complex real-world challenges.

One year after NVIDIA CEO Jensen Huang and UK PM Keir Starmer declared the UK would be an AI maker, NVIDIA and partners showcase progress at London Tech Week. Key developments include doubling of sovereign AI cloud providers, Isambard-AI supercomputer, Sovereign AI Fund backing startups, and enterprise AI deployments across sectors.

Researchers demonstrate the first field validation of multi-robot coordination using only an external CCTV camera network and edge computing in a real warehouse. The system operates in image space on an uncalibrated, pixel-wise topological camera graph, using a hierarchical planner to assign camera sequences and plan motions. A prioritised-then-joint strategy treats overlapping camera regions as shared resources to prevent collisions and deadlocks. Tested with 4 robots, 30 cameras across 6 aisles.

Visuomotor policies struggle under distribution shifts due to poor action coordinate understanding. AxisGuide renders robot base axes into RGB images, providing explicit cues that significantly improve generalization and task success.

Autonomous cyber-physical systems (CPS) lie at the intersection of Model-Based Systems Engineering (MBSE) and data-driven ML/AI, but no integrated methodology spans both. IDDMBSE extends the MBSE V-process with a data-driven loop at every step, using SysML and a hybrid architecture. The open-source tool chain includes PERFECT, TRADES-X, and VERITAS. Demonstrated on a ground robot across development lifecycle tasks. Being reformulated on SysML v2/KerML for tighter integration.