In the age of information technology and mass automation, manual processes abound. Notwithstanding the emergence of IT solutions promising major advances in efficiency – cloud technology, artificial intelligence and big data – workers continue to perform many tasks better suited to machines. Other desired functions, such as mining and analyzing data troves, burdened by technical challenges, frequently remain beyond the capacity of unaided workers to perform.

For many organizations, the answer could be Robotic Process Automation, a tool that has been around for a few decades. Recent improvements, such as the incorporation of machine learning, have made RPA a fast-growing tool in the realm of artificial intelligence solutions. In particular, RPA is adept at digging into informational silos and analyzing unstructured data, a near-to-impossible task for traditional tools. Stringing together RPA bots makes it possible to use the technology to perform increasingly complex tasks. And the emergence of bot economies will make it increasingly feasible to share RPA bots with other departments or organizations, driving economies of scale and efficiencies.


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  • Cognitive Automation: Six Steps to Success

    Cognitive automation is emerging as an effective business tool for automating complex tasks involving data bases that aren’t well structured. A type of artificial intelligence, cognitive automation will grow 57 percent annually between 2016 and 2022, analysts predict. To learn more about this technology in six steps, click here. Download Now

  • Country of Brazil

    Brazil’s Minister of Finance contracted with Automation Anywhere to automate production of daily economic reports. The solution was to seamlessly combine data from multiple disparate sources, reducing the time and labor required to produce critical reports that the government uses to formulate and implement Brazil’s economic policy. Download Now

  • Case Study: Electric Power Utility in New York

    A large utility company in New York State wanted a tool that would automate time-consuming data monitoring tasks required by regulators. The utility’s IT team chose Automation Anywhere to fully automate complex, time-consuming manual processes, resulting in efficiencies and savings that paid for the solution. Download Now

  • San Diego County – Health and Human Services

    San Diego’s Health and Human Services Agency chose Automation Anywhere to streamline its process for qualifying applicants to government assistance programs. Without rewriting code, Automation Anywhere integrated legacy applications and automated the qualification process. Integrating the legacy system lowered verification times, costs, risks and errors. Download Now

  • Enterprise-Class Security for Robotic Process Automation 

    Automation Anywhere uses multiple protocols to ensure the security of robotic process automation (RPA) tools, a form of artificial intelligence that enables complex business processes involving unstructured data. Security measures include mandatory authentication requirements (for humans and bots) before allowing system access or action; multi-layered credentials and personas; and comprehensive role-based access control. Download Now

  • Toward the Bot Economy

    Leaders of organizations are turning to robotic process automation and other advanced technologies – artificial intelligence, cloud technology and big data – to transform their businesses. As the number of bots performing automated tasks increases, an emerging “bot economy” of interchangeable applications could drive economies of scale and further reduce costs. Download Now

  • When Automation Meets Embedded Analytics, Sparks fly

    Almost 75 percent of global CEOs reported that they had “insufficient information to predict and drive their business,” according to results of a 2010 survey. The data deficit exists despite the rapid growth of traditional business intelligence tools, a market projected to reach $26 billion by 2021. Automation Anywhere’s robotic process automation (RPA) solutions take a different approach, using bots to access and analyze organizations’ siloed data, develop critical insights and inform business decision. Download Now