Businesses are rapidly adding new devices, tags, sensors, automation, software and compute elements to help track and optimize business performance – but are rarely able to act on the data generated by them. Centralized cloud systems struggle to scale when enterprise applications aggregate data from multiple local networks, and then must sync state throughout the application. Enterprises want to improve efficiency, cut costs, prevent failures, track assets and improve safety – driving a need to analyze and act on streams of data from their assets, customers, users, infrastructure and operations. However, the cloud-first paradigm is insufficient to deliver maximum value from data analytics investments. The time and cost of shifting data to a central location, storing it, and writing new apps to analyze it before a decision can be taken results in only a small subset of new data being made available, and often delivers insights too late to act on them.