Organizations will require fuel to progress further along their digital transformation journey. Artificial intelligence is that fuel, and not just any type will suffice. Fremont, CA:In recent years, companies have made wise investments in robotic process automation (RPA) and business process management (BPM). They've used RPA to automate discrete operations, freeing up countless hours of time for their personnel. BPM has assisted them in identifying workflows across the organization that is ripe for automation, resulting in increased savings and efficiency.

Intelligent RAN automation applies artificial intelligence, machine learning, and advanced analytics to manage complex, ever changing network, device and end-user requirements for optimal efficiency. Service Management and Orchestration (SMO) is the function responsible for the management and orchestration of the managed elements under it's control. The RAN intelligent controller, or RIC, is a new end-to-end automation platform which manages and orchestrates software applications and algorithms that optimize network performance. There are two types of RIC, non-real-time and near-real-time. These software applications and algorithms can be developed by network vendors, communication service providers or specialist developers to automate and optimize network performance.

Enterprises benefit from digital workforce management not just because it solves their scalability problem, but also because it helps them do a lot more, such as breaking down silos and reducing risk. The potential of RPA (robotic process automation) is harnessed by a low-code, configurable intelligent automation platform, allowing businesses to design and manage a digital workforce in which human and robot workers complement each other. RPA technologies are assisting business leaders in increasing efficiencies across the board. Early adopters, however, have had difficulty scaling their initiatives. The biggest barrier according to industry experts is process fragmentation. Human and digital resources performing the work still exist in silos.

EVP of products at Kofax, a supplier of intelligent automation software to digitally transform end-to-end business operations. If organizations want to get further down the road (faster) in their digital transformation journey, they're going to need fuel. And not just any type will cut it: They need artificial intelligence. Over the last few years, companies have made smart investments in robotic process automation (RPA) and business process management (BPM). They've deployed RPA to streamline discrete processes and, in doing so, freed up countless hours of their employees' time.

Poor customer experiences are the primary cause for low conversion rates, lost leads and customer churn. In fact, a customer who suffered a third-rate experience will tell five times as many people about what happened than if they had a great experience. These bad impressions tend to stick with people and influence their future decisions for months or even years later. As a result, frustrated Sales Managers and Marketers often blame these sour interactions on substandard or poorly deployed software. Similarly, many marketers prefer today to keep things as hands-on as possible.

Whereas past releases put a big emphasis on extending functionality regarding the "RPA baseline" by including more activities and connectors for background automation, this year's newest versions all ship with unprecedented, possibly game-changing features, enlarging RPA's footprint within businesses. Let's have a look at the general trends visible in 2019 and dive into the opportunities and challenges they pose to current and future users of RPA software. These trends shift the role of the software from pure RPA to fully integrated intelligent automation platforms, which consist of multiple, modular building blocks for process efficiency, visualization, and automation. This approach enables the business to leverage automation to a far greater extent than ever before by putting these platforms at the core of the business processes. Consequently, complete end-to-end automation, unprecedented process transparency, and massive scalability by democratizing the usage of automation can be achieved.

This six-part blog series will guide readers through the latest concepts in multichannel document capture, with an emphasis on how AI has transformed what's possible in making your documents and data work for you – and not against you. The emergence of Robotic Process Automation (RPA) was a watershed in helping businesses cost-effectively acquire and tap into the value of data. Thanks to software robots, massive quantities of electronic information were no longer trapped in internal and external systems, and businesses could now harness the power of RPA to access, manage and use this data in powerful ways. At its core, RPA solves problems associated with data-centric manual tasks and remains ideal as a tool that interacts with websites, business and desktop applications, databases and people to execute repetitive work. Simply put, RPA is the "handwork" of processing electronic data.

Over the last few weeks, Computer Weekly has looked at how a number of organisations are combining automation and artificial intelligence (AI) to deliver measurable business benefits. During the Microsoft Future Decoded event in London, the use of Microsoft tools, and Thoughtonomy's intelligent automation platform at East Suffolk and North Essex NHS Foundation Trust, were used to demonstrate how AI and automation can combine to deliver benefits in the public sector. In logistics, Canandian transportation company Polaris Transportation is using AI and automation in a project to streamline the handling of scanned-in customs paperwork, enabling it to reduce many hours of manual work. The company used the WorkFusion intelligent automation platform to scan and "read" customs paperwork associated with cross-border shipping documents. According to Cindy Rose, CEO of Microsoft UK, more advanced organisations are accelerating their use of AI, which has enabled them to see its benefits on their bottom line.

There's no question that machine learning and artificial intelligence technologies are making an impact on IT workers, particularly when it comes to entry-level and support type roles. As such, there has been a sweeping concern over the long-term affect AI will have on IT related careers in the future. After all, IT does happen to be the most frequent user of AI. Does that mean technology jobs are about to become obsolete? Instead, IT professionals will need to evolve alongside AI and develop new skills. This evolution is already happening in many organizations worldwide.

Accenture announced the global rollout of an intelligent automation platform, Accenture myWizard, that enables services consisting of systems integration and application development and management. The platform combines Accenture's industry and technology assets and business knowledge with intelligent automation, including artificial intelligence at its core. Accenture myWizard supports productivity improvement for clients by employing a team of virtual agents, powered by AI, to analyze data, identify patterns and guide human workers to make better-informed decisions. This can support business performance which can include significant improvement in application quality, cost reduction and speed to market. The new platform brings together several Accenture industry aspects, including intelligent and analytics tools and methods, as well as tools from across Accenture's alliance partner ecosystem.