#Blue prism world full
By giving organizations access to the enormous quantities of process data collected by public cloud providers, Blue Prism is helping its customers unleash the full potential of software robots."
Blue Prism's new API integrations with leading cloud providers helps to fill this void. "What's been setting these companies back isn't a lack of vision or ingenuity, but the absence of a platform that can enable AI solutions at scale.
"Many enterprises currently face the challenge of moving artificial intelligence beyond the experimentation phase and into operationalization," said Sarah Burnett, Vice President at Everest Group, one of the world's largest and leading global services and RPA analyst firms. Forrester forecasts the RPA market to reach $2.9 billion by 2021, a subset of the $48.5 billion broader AI enterprise spend.1However, a predominant limitation enterprises are confronted with is that the scale and variety of tasks these robots can automate is dependent on the limited amount of process data at their disposal. Robotic Process Automation (RPA) is an ever-expanding market and demand for intelligent robots that can automate back-office work has never been higher. Blue Prism's Software Robots can run on premises or in public clouds, such as Amazon Web Services, Microsoft Azure, Google Cloud Platform and IBM Cloud. Coupled with Blue Prism's Robotic Process Automation (RPA) platform, enterprise users of AWS, Google Cloud, IBM Watson and Microsoft Cognitive can now access a variety of AI-powered digital workers, also known as software robots, to automate and complete increasingly complex tasks through a single platform.īlue Prism's Digital Workforce simplifies the adoption of AI within business processes, and enables the practical use of AI within the enterprise, via a simple "drag and drop" approach. Blue Prism (AIM:PRSM), provider of the world's most successful digital workforce, today announced a new offering that features "out of the box" API integrations with AWS, Google, IBM and Microsoft to enable operational AI (Artificial Intelligence) at scale.
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