Enterprise-class Security for Robotic Process Automation

Why, after 20+ years of investment in business process automation technologies, less than 20% of the tasks have been automated? The primary reason is the lack of well defined APIs in 85% of the enterprise systems. The result is an ever growing IT backlog of integration requests from line of business.

This paper provides an overview of the industry’s highest standard for enterprise-grade security as demonstrated by the market’s leading Digital Workforce platform, Automation Anywhere Enterprise.

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RPA + AI = Competitive Edge

Where does RPA intersect with AI? In the hotbed of emerging AI technologies— where you’ll find speech and facial recognition, neural networks, and deep learning to mention a few—RPA meets AI in cognitive computing.

This eBook explains what makes these smart bots—called cognitive bots—so valuable. You’ll discover unprecedented ways cognitive bots can help your business.

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Red Hat Enterprise Linux Server

IT organizations want to deliver greater business value by increasing productivity, delivering services faster, and remaining flexible to incorporate the latest innovations like cloud, containers, and configuration automation. Modern workloads, whether on bare metal, virtual machines, containers, or private or public clouds, are expected to be portable and scalable. They need a modern, secure platform to support those requirements.

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Red Hat Hyperconverged Infrastructure For Virtualization

Hyperconverged infrastructure (HCI) is growing in popularity due to its ability to consolidate and simplify compute, storage, and network infrastructure for business-critical applications. As organizations contemplate HCI investments, many are looking to avoid proprietary lock-in—and traditional proprietary storage solutions.

Red Hat® Hyperconverged Infrastructure for Virtualization is an ideal solution for business-critical applications in virtualized environments, as well as for various tactical edge deployment scenarios. Built on the strengths of Red Hat Virtualization, Red Hat Gluster® Storage, and Red Hat Ansible® Automation, Red Hat Hyperconverged Infrastructure for Virtualization simplifies planning and procurement, streamlines deployment and management, and provides a single life-cycle experience for virtual compute and virtual storage resources. Compute, storage, and management components are all open source, and organizations can choose among industry-standard hardware or implement validated configurations that best meet their workload needs.

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Software -Defined Infrastructure: Optimize Your I.T. With Red Hat

IT is a critical partner for business transformation, but you can’t deliver transformation solely on traditional, proprietary infrastructure.

While you may be eager to adopt new technologies, many critical processes rely on existing systems. You need a solution that will modernize what you have for greater efficiency and accelerate your cloud-native and container future with greater agility.

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Addressing Challenges in Hybrid Cloud Security

How can you secure your apps and services without compromising your schedule? (Hint: It’s all in the automation.) Enterprises are using hybrid cloud technologies to enrich the user experience and power their digital transformation. But running applications in public clouds while managing the application data in private clouds makes for a unique set of security requirements. We discuss the challenges that DevOps teams face in hybrid environments and how those challenges can be overcome.

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Red Hat Enterprise Linux Server

IT organizations want to deliver greater business value by increasing productivity, delivering services faster, and remaining flexible to incorporate the latest innovations like cloud, containers, and configuration automation. Modern workloads, whether on bare metal, virtual machines, containers, or private or public clouds, are expected to be portable and scalable. They need a modern, secure platform to support those requirements.

Get Whitepaper

Red Hat Hyperconverged Infrastructure For Virtualization

Hyperconverged infrastructure (HCI) is growing in popularity due to its ability to consolidate and simplify compute, storage, and network infrastructure for business-critical applications. As organizations contemplate HCI investments, many are looking to avoid proprietary lock-in—and traditional proprietary storage solutions.

Red Hat® Hyperconverged Infrastructure for Virtualization is an ideal solution for business-critical applications in virtualized environments, as well as for various tactical edge deployment scenarios. Built on the strengths of Red Hat Virtualization, Red Hat Gluster® Storage, and Red Hat Ansible® Automation, Red Hat Hyperconverged Infrastructure for Virtualization simplifies planning and procurement, streamlines deployment and management, and provides a single life-cycle experience for virtual compute and virtual storage resources. Compute, storage, and management components are all open source, and organizations can choose among industry-standard hardware or implement validated configurations that best meet their workload needs.

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Software -Defined Infrastructure: Optimize Your I.T. With Red Hat

IT is a critical partner for business transformation, but you can’t deliver transformation solely on traditional, proprietary infrastructure.

While you may be eager to adopt new technologies, many critical processes rely on existing systems. You need a solution that will modernize what you have for greater efficiency and accelerate your cloud-native and container future with greater agility.

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Taking Procure-to-Pay to the Next Level with Robotic Process Automation

Organizations have a lot riding on the efficiency and effectiveness of their procure-to-pay processes. Disruptions to an organization’s ability to purchase or pay for materials, goods and services can negatively impact its supply chain, customers and financial standing. Yet, most organizations rely on manual or semi-automated procure-to-pay processes that cost too much, take too long, create too many errors, provide inadequate visibility and frustrate internal stakeholders and suppliers. A big part of the blame can be pinned on the top-down approach that most organizations have traditionally taken to automating business processes. Another contributor is the exploding volume of “dark data” – untapped structured and unstructured data from documents such as invoices, purchase orders and shipping documents. Robotic process automation (RPA) with cognitive automation makes it easier and more cost effective for procure-to-pay organizations to automate. The technology empowers business users with software robots (bots) that automate business processes, such as procure-to-pay, to achieve operational and strategic benefits.

This paper details the challenges with traditional approaches to business process automation, provides an overview of RPA and cognitive automation, and lays out the technology’s benefits in procure-to-pay.

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Enhancing Your RPA Implementation with Intelligent Information

Amidst all of explosive growth in the RPA space, what is keeping organizations from taking their RPA capabilities to the next level? AIIM believes that one answer lies in the unique challenges associated with integrating unstructured information into an RPA environment.

In this eBook, we explore the following questions:

  • What is the current state of process automation, what is keeping organizations from moving forward, and how does RPA address a key pain point for many organizations?
  • How and where is RPA being used to leverage existing enterprise IT investments?
  • What unique challenges does unstructured information create for process automation and RPA engines?
  • What does an intention to spend more on RPA tell us about other key organizational priorities and pain points?

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Ovum Decision Matrix: Selecting a Robotic Process Automation (RPA) Platform, 2018–19

RPA platforms represent a hyper growth market, with enterprises investing in new RPA platforms for process and task automation to achieve greater operating efficiency and agility, while allowing the human workforce to focus on more strategic and higher priority projects and tasks. Intelligent process automation (IPA) is in an early phase of its evolution and represents the next frontier for RPA vendors. This Ovum Decision Matrix (ODM) is a comprehensive evaluation to help enterprise IT and business leaders, including chief information officers (CIOs), enterprise and process architects, IT directors, line-of-business (LOB) leaders and process owners, and digital transformation leaders select an RPA platform that is well suited to their specific requirements.

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7 Predictions For The 2019 RPA Market

With RPA, companies can automate a wide range of processes they wouldn’t have imagined possible before. These range from very rote tasks, such as cutting and pasting customer data from a CRM system into a back-office ERP system, all the way up to unattended software bots capable of intelligent decision-making based on pre-set logic.

What is clear is that RPA is at a tipping point. But will this growth continue? If so, on what path? What innovations lie ahead?

This e-book will provide Automation Anywhere’s insights about the future, with seven RPA predictions for 2019. These predictions relate to market growth, technology disruptions, platform enhancements and new use cases for RPA.

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Cognitive automation: 6 Steps to Success

What cognitive automation is, why you need it, and how to do it right

Adding cognitive capabilities to robotic process automation (RPA) is the biggest trend in business process automation since, well, RPA.

In this eBook, you’ll learn how to succeed with cognitive automation by following six basic steps.

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