The BullSequana Edge has been designed to be used securely for the Internet of Things (IoT), in environments in which fast response times are critical – such as manufacturing 4.0, autonomous vehicles, healthcare and retail/airport security – where data needs to be processed and analyzed at the edge in real-time.
The embedded BullSequana Edge server therefore securely manages and processes IoT data, close to the source it originates from. It analyzes and runs artificial intelligence (AI) applications in real-time for instant insight; so that employees can take action and make decisions swiftly to optimize operations.
BullSequana Edge enables businesses to overcome challenges such as limited bandwidth; intermittent network connectivity; securing data at the edge; and also network costs.
Key benefits of BullSequana Edge
- Optimum security and privacy. An advanced chain of security measures protects both the data and the physical server.
- Immediate responsiveness. Data analysis in real-time.
- Autonomy. Reduced dependence on cloud and datacenter availability and connectivity ensures that apps are not disrupted in case of limited or intermittent network connectivity. The BullSequana Edge can communicate via radio, GSM or Wi-Fi.
- Interactivity. The server can analyze both multi-source and multi-format data in real-time.
- Cost–effective. Reduced datacenter infrastructure and also networking costs.
“The exponential growth of IoT devices and how to best manage the consequent explosion of data is a challenge many businesses face today. To manage and harness this mass of data to our advantage, in a post-cloud era, we need to embrace edge computing. Atos brings together its expertise and experience as a leader in cloud orchestration, high-performance computing, cybersecurity and AI, to develop a unique edge computing product – the BullSequana Edge – which empowers businesses to take full advantage of the data deluge,” said Pierre Barnabé, Atos.
The BullSequana Edge already supports 3 main categories of use cases.
- AI: Atos Edge Computer Vision. This provides advanced extraction and analysis of ‘features’ (people, faces, emotions, behaviors) so that automatic actions are able to be carried out, based on this analysis. It enables a large set of intelligent cameras, for example in video surveillance, to collaborate holistically in real-time, enabling operations to be tracked without interruption.
- Big Data: Atos Edge Data Analytics. This enables organizations to improve their business models with predictive and prescriptive solutions. It hinges upon edge data lake capabilities to make data trustworthy and useable.
- Container: Atos Edge Data Container (EDC). This all-in-one container solution is ready to run at the edge and serves as a decentralized IT system (from one individual rack up to a complete containerized data center). It can run autonomously in non-data center environments with no need for local on-site operation.