Cybersecurity teams must work closely with finance teams to help them determine what kind of data is essential for automation to deliver more benefits than risk.
Search Results: RPA (403)
Fear, uncertainty, and doubt (FUD) surround AI in cybersecurity, and practitioners need to have proactive conversations to combat it.
Key RSA 2023 takeaways include a strong emphasis on AI defense, the push for an identity-centric security model, and management of the increasingly complex modern attack surface.
By integrating generative AI with automation, industries can provide personalized customer experiences and meet shifting market conditions.
“Intelligent Automation” co-author Ian Barkin explains how generative AI’s capabilities make it a much easier sell than the automation functionality of yesteryear.
End users with little to no IT background can learn data engineering and data science with the help of low-code/no-code platforms, but they must understand foundational aspects of the fields to avoid creating messy situations.
As a business leader today, your success relies on accurate data, real-time analytics, and actionable intelligence. Here are the tools to help you.
Change management is hard, but smart leaders know that technology plays a big role in driving change by optimizing communication, collaboration, and processes.
With its low-code platform, Appian empowers customers to build applications that automate key business functions. It’s prepared to guarantee their success.
With artificial intelligence heading toward mainstream status, it’s time for CFOs to develop a game plan for implementing this powerful technology in their organizations.
With rising pressure on the global healthcare industry, healthcare organizations are turning to hyperautomation technologies to provide better health outcomes.
Excel spreadsheets have limitations leading to data quality and integrity issues and should be replaced by modern cloud tools, asserts Wayne Sadin.
To build and maintain customer customer trust, businesses must understand how to identify and eliminate bias within their AI models.
To prevent data breaches, organizations must prioritize data governance; there’s a big collaboration opportunity between the CISO and CDO roles in this endeavor.
In its better-than-expected results, UiPath leaders said strong customer acceptance of automation, as well as fast ROI, are driving performance in a challenging macroeconomic climate.
Chief procurement officers and CFOs don’t always see financial results the same way, but applying automation to data gathering and analysis can help them get on the same page.
By putting hyperautomation into context, businesses can free up time for employees to focus on more meaningful tasks and achieve goals.
Low-code/no-code platforms are becoming increasingly popular due to a scarcity of technical expertise. The addition of AI components is making these tools smarter.
Toni Witt describe en este artículo cómo y por qué los humanos son vitales para el desarrollo de la Inteligencia Artificial e hiper-automatización.
From competitive pricing and customizable solutions to excellent customer support and reliable infrastructure, here are the table stakes that every CIO should consider when evaluating cloud providers.