Global energy and energy services company, Engie, has selected the C3 IoT Platform and applications as the foundation for an enterprise-wide plan to implement elastic cloud computing, big data, analytics, machine learning and IoT.
C3 IoT claims to provide a full-stack IoT development platform (PaaS) that enables the rapid design, development, and deployment of even the largest-scale big data / IoT applications that leverage telemetry, elastic cloud computing, analytics, and machine learning to apply the power of predictive analytics to any business value chain. C3 IoT also provides a family of turnkey SaaS IoT applications including predictive maintenance, fraud detection, sensor network health, supply chain optimisation, investment planning, and customer engagement.
As part of a three-year transformation plan, Engie will use the C3 IoT Platform to develop and deploy custom applications across multiple project implementations spanning Engie’s 24 business units worldwide.
Engie is a 70 billion Euro global behemoth with 155,000 employees. In Australia it owns and operate more than 3,550 MW of renewable, gas-fired and brown coal-fired generating plants in Victoria, South Australia and Western Australia. Its retail business, Simply Energy, serves markets in Victoria, South Australia, NSW and Queensland.
Separately, Engie Services Australia & New Zealand comprises Cofely Australia, Trilogy Building Services, Spectrum Fire & Security, Cowley Services and DESA Australia. In total these businesses have about 1000 employees.
According to C3 IoT, “By standardising its global business units on the C3 IoT Platform, Engie will unlock unique business insight from the vast data across its global infrastructure to realise operational efficiencies and better serve its customers.”
Engie CEO, Isabelle Kocher, said: “Engie has implemented an ambitious plan to confront the major challenges posed by climate change and promote people’s access to reliable, innovative, socially responsible, low carbon, and decentralised energy.”
Integrated enterprise wide platform
C3 IoT said it would provide “an integrated, enterprise-scale IoT analytics and application development platform … to leverage the power of cloud computing and all available data — including telemetry from sensors and devices, data from diverse enterprise information systems, and external sources such as weather, traffic, social media, and commodity prices,” and “employ advanced analytics and machine learning at scale, in real time, to capture business insights that improve operations, enhance customer engagement, and differentiate products and services.”
C3 IoT claims that its development platform enables the rapid design, development, deployment, and operation of next-generation applications that apply advanced machine learning to recommend actions based on real-time analysis of dynamic petabyte-scale data sets, scores of enterprise and ‘extraprise’ data sources, and telemetry data from millions of endpoints.”
The C3 IoT platform use the Amazon Web Services (AWS) cloud and is integrated with AWS IoT, a managed cloud service that lets connected devices easily and securely interact with the cloud.
Engie will also establish a Digital Factory to “unite highly skilled data scientists, developers, and business analysts to create a self-sustaining group of 100 experts knowledgeable in analytics and data, as well as Engie’s organization and operations, to propagate techniques and expertise across Engie worldwide”
