Autonomous devices, unattended services, and sophisticated automation are transforming businesses and entire industries. As a result, advanced AI and automation are rapidly moving towards autonomy.
To meet the functional, social, and compliance requirements of autonomy, you need, foremost, an end-to-end data infrastructure that is built for AI.
In the Autonomous world, Edge, Core, and Cloud form must form a single seamless end-to-end infrastructure, cooperating on data processing, data communications, and data storage.
Unattended services, even in mildly complex situations, require advanced AI models generated by Deep Learning. They require massive data with rich data formats from complex sensors.
Autonomy means continuous improvement, ability to learn new objectives, respond to new scope, or manage new services. This generates a continuous data flow for continuous learning and continuous feedback from deployments.