For intelligent automation especially, training an ML model on “bad” data can lead to process errors and inefficiencies. VentureBeat: Low/no-code IA platforms help democratize automation and ...

In coming years, the architecture of work will change and become more event-driven, with business processes controlled with intelligent automation and work broken down into discrete tasks that are ...

To stay ahead, they need intelligent systems that can think, decide and act independently. That’s where Agentic AI steps in.

Scaling intelligent automation is proving more difficult than anticipated, says Chris Huff, three pillars, involving process, technology and people are key. By 2020, more than 70% of enterprises will ...

QKS Group designates AuraQuantic as the Most Valuable Pioneer (MVP) for its AI-first architecture and leadership in embedding agentic intelligence ac ...

Intelligent automation is a complete system that must integrate with many other systems, and its true complexity may only be apparent once your entire technology architecture ... process so they: ...

In today’s tech-dominant environment, high-performance engineering teams are crucial to building the next generation sol ...

Process mining provides a comprehensive view of processes and identifies variations, bottlenecks, and the underlying causes of inefficiencies, which enable engineers to quickly improve the process ...

Evaluate automation readiness from a technology and process perspective. IT and business owners need to be involved. IT is required because they understand how automation technologies fit within ...

Intel’s “Intelligent Fab Automation” technology does in fact save costs, but Mouli declined to elaborate. There are several separate components that make up Intel’s “Intelligent Fab Automation,” ...