The Internet of Things (IOT) is connecting devices, vehicles, buildings, and assets to the business systems that power industry. Industrial IOT (IIOT) enables businesses to monitor and control connected devices across their network infrastructure, creating opportunities for improved efficiency, accuracy, and economic benefit in addition to powering the automated systems of the future while using machine learning.
The Industrial IoT landscape is littered with the corpses of failed projects that never made it past the PoC phase. What’s wrong? I’ve surveyed the press and talked with Swim customers and partners, and I’m convinced there are two main reasons for failure, and they both have the same root – the lack of human skills needed to deliver success. Swim is committed to transforming business outcomes in the IIoT domain using machine learning at the edge – right where the data originates. Machine learning at the edge is crucial to addressing the skillset challenge.
Interested in working on Intelligent IOT, Machine Learning, and Industrial IOT (IIOT) projects? Swim is hiring for engineering & product management roles.
Announcing the Swim ESP™: Machine Learning at the IOT Edge
Enterprises and public sector organizations are drowning in a flood of sensor data from equipment, assets, suppliers, consumers, city data sources, and energy providers that contain hidden insights that have the potential to optimize production, transform efficiency, streamline flows of goods, vehicles and services, protect the environment and ensure safety. But finding them remains a huge challenge.