By 2020 there will be more than 20 million connected devices, from machine tools, oil pumps, grain silos and turbines, through to cars, trucks, containers, and drones.
Have you considered how much data these devices will generate, and the effort and cost in streaming that data to the cloud? Managing the data with a cloud-only approach will be expensive, risky (single point of failure/attack), and too slow to cope with real-world demands.
Industrial leaders such as GE and Intel are now driving an edge+cloud approach as the future for the Internet of Things (IoT), and they have been joined by other major vendors, such as Amazon, Microsoft and Google.
A variety of new approaches to security and messaging are emerging to enable Digital Twins/Shadows, and trusted peer-peer networks that connect edge devices to each other and the cloud, in a scalable way that can handle intermittent communications, in a complex heterogeneous environment.
While connecting devices at the edge is a critical foundation, this is not how value will ultimately be created. The devices must collaborate with each other, if we are to see tangible, order-of-magnitude, benefits.
SWARM delivers a collaborative intelligence platform, building on a scalable distributed trust network, so that devices can self-optimize processes to:
1. Maximise Throughput
2. Minimise Operational Losses
3. Manage Disruptions
4. Rapidly adapt to new scenarios
Taking our cue from the flocking behaviour of fish, the murmuration of starlings, and the hive intelligence displayed by many species of insects, we believe that machines can and should deal with many scenarios automatically, without requiring human intervention. While devices will still share relevant data to the cloud, and receive strategic guidance and direction, the handling of many disruptions should be automated - such as the flow of traffic in a city, after a sports venue empties following a major event.