Automated processes enable efficiency, while data enhances decision-making says Chakradhar Agraharam, a VP in Cognizant’s Intelligent Process Automation Practice.

As AI changes how teams operate, value won’t come from adopting new tools alone but from applying the right technology in ...

Heron is a workflow platform that uses AI to read and understand business documents – like bank statements, insurance ...

ABB Ltd. rallied after the company reported record order intake and profit margins that surpassed views, spurred by rising ...

Understanding where the process automation data comes from and how to consume and analyze it provides decision makers with the information needed to successfully run the business. System data. Data ...

New funding: Super.AI, a “data process automation” startup led by veterans of MIT, AWS, Google, Microsoft, and SAP, raised $12 million to fuel growth of its technology that helps companies ...

When RPA first met data science, this had industry-changing results. Rather than having humans look for new opportunities to improve automation, enterprises utilized “intelligent” process ...

The data that these two automation types process may be structured or unstructured. RPA can only process structured data, meaning data that has labels or headers, and is staying in the same part ...

Enter Analytic Process Automation, or APA—a new movement that seeks to solve those problems by upskilling almost anyone to become part of an organization’s engine for analyzing and acting on data.

With effective process mining, analyzed data can further be combined with AI/ML to generate data-driven analytics that helps organizations discover ... Best practices for efficient process automation.

Data pipelines (e.g. Apache Airflow, Spring Cloud Data Flow): These tools have a different focus and thus lack important features for the process automation use case, such as support for control ...

However, even the most routine business process consists of unstructured and semi-structured big data, as well as the more traditional fixed record data. For example, RPA is often used for invoices.