As real estate investing goes remote-first, data and automation are reshaping how investors evaluate risk, move capital and ...

Agentic process automation uses autonomous AI agents to manage complex government workflows and outperform rigid RPA.

Embracing automation and digital transformation has become imperative for organizations striving to enhance operational efficiency and stay competitive in modern business. The finance function holds ...

The acquisition reinforces Decisions + ProcessMaker's role as an agentic orchestration and automation layer that complements SAP. By extending SAP with governed workflows, rules-driven automation, and ...

Are you grappling with managing your test data in an automation framework? Here’s a fact: effective Test Data Management (TDM) can significantly improve your software testing process. This ...

Adam Bertram is a 20-year IT veteran, blogger and freelance writer. Follow him on the social platform X @adbertram. Robotic process automation, or RPA, is a technology for automating business ...

Robotic Process Automation (RPA) has emerged as a pivotal technology in the digital transformation of business processes. By employing software robots to execute rule-based, repetitive tasks, RPA ...

DeltaV version 16.LTS accelerates the path to an OT-ready enterprise operations platform to seamlessly integrate and optimize ...

While RPA is meeting some automation needs, agencies are also looking to advanced technologies, including artificial intelligence, to solve more complicated process challenges. Alexander Slagg is a ...

RPA brings to mind humanoid robots replacing human employees, but it’s actually much more benign (and beneficial) than that. With all the recent discussion about the AI-driven ChatGPT, Google Bard and ...

Kore.ai Inc. is doubling down on artificial intelligence agents with the launch of a new, “no-code” platform for creating customized models that can automate knowledge-intensive operations. The ...

Chemical research environments are undergoing a profound transformation as modern laboratories confront rising demands for greater data throughput, more seamless integration of analytical and ...