Intelligent technologies are boosting automated operations across industry sectors
Many businesses currently face the same challenges. Connectivity has created complexity, customer expectations are sky high and there is an ongoing scramble for talent. Heavy demand has been placed on legacy systems and structures that often struggle with the pace of change. Fortunately, this is where Intelligent Automation (IA) steps in.
IA combines Artificial Intelligence with RPA (Robotic Process Automation) to augment existing workers and the way that they undertake certain tasks. IA uses intelligent technologies to build better workforces, identifying the most important operational processes and making them more efficient. These skills, tools and techniques are increasing the predictability and reliability of services while reducing delivery costs. As machine learning capabilities become more affordable and accessible through open source, more businesses will be able to take advantage of Intelligent Automation. An example of IA in action is a marketing system that bases offers and recommendations on user profiles and wider market trends. Autonomous vehicles also leverage IA to analyse and respond to data collected by sensors.
IA is expected to facilitate a new era of productivity, enabling scalability and handling complexity. Over the next three years, Gartner predicts that IA will cause the yearly cost of commodity services to drop by 15 to 25 per cent. However, there is still a lack of understanding around AI and RPA that is hindering IA applications. First of all, businesses need to understand the implications of AI, RPA and IA, and decide if IA is a relevant method for achieving their objectives.
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