Benefits of Automation for Enterprise Data Management

In this article we’ll take a look at how’s and why’s that organizations from many industries are jumping on the automation for data management movement. It’s important that stakeholders understand how well automation performs repetitive data management responsibilities, what tasks still require a human in the loop, and how to evaluate data management automation capabilities.

End-to-End Automation – The Key to Optimize and Transform IT

In the past several years, assisting new business models through use of advancing new technologies helped reveal IT as a strategic function in the enterprise as opposed to an ordinary operational area. This process, however, came at a distinct organizational cost – additional workload to existing IT teams. We’re seeing substantial increases in IT operational activities due to extra service requests, cyberattacks and demand for new digital services.

UiPath Launches Next-Gen UiPath Automation Cloud™ to Extend Automation Leadership in Latest Platform Release

UiPath (NYSE: PATH), a leading enterprise automation software company, introduced Automation Cloud Robots alongside a wealth of other powerful new capabilities as a part of the UiPath 2022.4 platform release. The new release provides enterprises with an even more comprehensive automation foundation to achieve fast and accurate outcomes.

The 3 Reasons Enterprises Need an AI Operating System for Intelligent process Automation

This new whitepaper, “The 3 Reasons Enterprises Need an AI Operating System for Intelligent process Automation,” from Veritone highlights how evolving technology meets enterprise demand for agile, intelligence-based solutions in the shape of AI-based operating systems (OS) across three areas: (i) AI OS for automation of human work; (ii) AI OS for process automation across all data sources; and (iii) AI OS for democratization of AI across the
enterprise.

The 3 Reasons Enterprises Need an AI Operating System for Intelligent process Automation

This new whitepaper from Veritone highlights how evolving technology meets enterprise demand for agile, intelligence-based solutions in the shape of AI-based operating systems (OS) across three areas: (i) AI OS for automation of human work; (ii) AI OS for process automation across all data sources; and (iii) AI OS for democratization of AI across the
enterprise.

Hurdling the Unstructured Content Divide with Robotic Process Automation

In this contributed article, editorial consultant Jelani Harper discusses how machine learning models are no longer confined to the data scientist’s sandbox. When coupled with RPA, any business user can leverage machine learning and other vanguard technologies to overcome the difficulties of unstructured data, as well as additional challenges in the ever evolving data ecosystem.

Why and How to Build an Effective Voice Bot

In this contributed article, Alexey Aylarov, Co-founder and CEO of Voximplant, suggests that the next logical step after chatbots is the implementation of RPA-assisted “voice bots,” however adoption has been slow. So, why don’t more organizations and businesses deploy voice assistants to further automate customer interactions?