Cognitive Automotive Engine

Cognitive Automotive Engine
CAE is an AIO capability that self-operates daily control engagement and functional tasks. Also, it uses deep reinforcement learning and defined state robot-based event emphasize and experience auto-remediation. Along with this, CAE enables you to do the closed-loop change and positioning. Revitalizing the customer experience through the usage of mobile and cloud-driven web solutions defines the dynamic framework of the automotive process by adapting the latest technologies through an intellectual culture in accepting the challenges for the customers.
Features:

Event triage and auto-remediation

Automated service request fulfillment

Closed-loop change and configuration

On-demand task execution

Ongoing schedule-based task life-cycle management

Integrations for an end to end-use cases

Automation orchestration and runbooks

Application release automation
Cognitive automation describes the ways of merging Artificial Intelligence (AI) and process automation capabilities to improve business outcomes. Automating process workflows and decisions using AI replaces traditional business rules. Using the process of automation applies continuous machine-learning algorithms to analyses large amounts of customer queries enabling automated human-like communication. The seamless conversations with effortless messaging to customers, the Q&A with the new sales channels, and rich messages operate and integrate effectively.