The evolution of process automation

   What is intelligent automation?

• Intelligent automation incorporates recent advances in technology to manage and improve business processes automatically and continuously.
• Constituent components of intelligent automation include:
•  Artificial intelligence/machine learning – The application of systems equipped with software that simulates human intelligence processes, including learning without explicit instructions
• Natural language processing – The ability to understand human speech as it is spoken
• Robotics – The use of robots that can act on the Internet of Things (IoT) and other data to learn and make autonomous decisions

             Automating efficiencies

• Within the next two to three years, AI will be able to assist businesses in competing.
• According to Gartner's Jeff Kuchins, early adopters of these new technologies and AI-driven automation capabilities have already had a major impact across a variety of business processes.
• The startup is developing artificial intelligence (AI) customer service solution.
• Advanced users report that AI has had a greater influence on them than Intelligent users.
• According to the study, the benefit of automation stems mostly from the efficiency it generates.
• Process automation can decrease biases, minimize mistakes, and complete tasks in a fraction of the time it takes humans.
• Some firms claim to be able to save up to 75% on repetitive jobs when compared to human performance.
• Data may be analyzed up to 25 times quicker by AI-driven procedures than by the human brain.
• The usage of AI-driven automation is still in its infancy, but it will develop over time.
• Natural language translation, unstructured data recognition, "fetch-and-respond" interactive agents, and complicated algorithmic (step-by-step) activities are the most common tools used by businesses.

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             What to automate

• Executives must weigh the difficulties of automating an activity against the potential for efficiency gains.
• One in every two CEOs who use intelligent automation has identified essential operations that AI can augment or automate.
• A list of almost 1,100 cross-industry activities is published by the American Productivity and Quality Center (APQC).
• The most transactional labor is found in the most automatable business process areas.
• Strategic and judgment-based activities are the least automatable.
• After automating specified activities, a German financial services business saw a 60 to 80 percent increase in time efficiency. More back-office activities, such as form generation, name updates, and data prefilling, will be automated.
• Artificial intelligence (AI) is used to automate operations based on a mix of unstructured and organized data.
• Artificial intelligence (AI) is used to automate operations based on a mix of unstructured and organized data.
• Companies such as Google, Facebook, and Microsoft, for example, employ AI.

             Rebalancing the workload

• Automation has always been a way to extract additional value from the traditional paradigm of people, processes, and technology.
• The objective is to alter human work and establish new methods of working, rather than to replace people.
• The digital workforce must be balanced with an understanding of the human workforce's influence.
• UBS, a financial services corporation, is utilizing artificial intelligence (AI) to free up employees to do more innovative work.
• According to the corporation, some of its staff will be redeployed to more value-added tasks.

            The automation journey

According to a new survey, cutting-edge companies are already developing intelligent connections. If you want to build an intelligent organization, think large, start small, and operate differently, according to the research.

Think big: Create an automation foundation

• Assign project priority, budget and resource allocation, and metrics monitoring and management to a cross-business and IT executive team.
• Prioritize intelligent automation prospects based on cost savings, but make sure your plan also includes personnel management and knowledge retention.
• To ensure that staff is familiar with the new ways of working, communicate early and regularly.

Start small: Streamline expansion with an automation command center

• Charge a business unit with managing the project pipeline, ramping up deployment, and calculating benefits.
• To maximize knowledge reuse inside the business, co-locate teams conducting robot "build" capabilities and other services.
• Maintain a library of task automation algorithms so that they may be reused and, eventually, the work of constructing new robots can be automated.

Work differently: Optimize digital processes and rebalance the workload

• Reengineer procedures to maximize the human-digital workforce mix.
• Evaluate automated tasks and activities iteratively to see if there are any chances to rethink processes utilizing AI capabilities.
• Using automation platforms and programs, enable the enterprise's digital tran