Requirements for the use of artificial intelligence and big data in the energy sector
A system that performs such tasks is complex and must meet high safety requirements. A large number of components and services are required, which must be coordinated with each other. Examples of components and services are:
- Hardware box
- Mobile radio
- VPN + MPLS
- Service: IBN of the entire route
By the way: Our end-to-end-services as IaaS and SaaS means that your systems are always up to date and secure without your own investment.
BentoNet offers such an IoT solution as a complete package. As an ecosystem, it combines existing and new data services with a perfectly coordinated infrastructure. It is able to capture data streams from industry and the energy sector. But BentoNet also enables software developers, engineering firms and plant manufacturers to quickly get started with analytics clouds. For this purpose, we create an individual overall concept from collecting the data to evaluating it and, if desired, feeding it back into the plant.
How does BentoNet help in the implementation and use of data volumes?
BentoNet offers the following data tools that can be accessed with little effort:
- Internet of Things (IoT)
- Big Data
- Big Data Discovery
- Application Images
- API Interface
- Business Intelligence
- Industry 4.0
Artificial intelligence can therefore offer enormous potential for the long-term improvement of asset management, but the aspect of security must not be forgotten.