Today, Intelligent Automation (IA) has topped as most Enterprises’ first consideration for all process and technology modernization. Mundane repetitive tasks are completed by IA autonomous robotic software while correcting and improving its performance based on recognizable changing conditions. It is a function of Artificial Intelligence. “Ultimately, automation will make our modern industry as primitive and outdated as the stone-age man looks to us today.”- Albert Einstein Superpower Drives Innovation Without question it is a “Brave New World.” Chaos and disruption are the best friends of creative problem-solving and opportunity. Super and Quantum Computing has unleashed so much processing power that what used to be imagined is today becoming a reality. Business operations like human resources (HR), back-office finance, supply chain and customer interaction and experience has begun to utilize IA open-source and cloud-based products. The cost of performing humanistic repetitive tasks more accurately and efficiently at an incomprehensible speed is now at our fingertips. Both physical security and cyber security have also prioritized IA assimilation for superior accuracy, alertness and responsiveness. Autonomous robots perform as security guards, software bots perform as customer service personnel, autonomous robots are warehouse employees, software bots perform redundant finance checks and balances more accurately than humans and the smallest network or edge anomaly is detected, alerted and resolved in the blink of an eye. Enterprises Embark on Automating Processes Intelligently Machine Learning, Voice Recognition and Natural Language Processing comprise major elements of IA while initiating autonomous robotic functions. Due to the increased availability of open-source and cloud-based platforms, comprehensive and cost effective, Enterprise IA implementations are expanding quickly for Intelligent Process Automation (IPA). Although IPA implementations can be overly complex, CIOs have targeted 70% of their budget for IPA. Non-specialized skills are typically all that is necessary to maintain IPA once it is implemented and specialized skills are increasingly being reallocated or replaced. A few top use IA targets: 1> Customer Support: Trouble ticket initiation and tracking including escalation and resolution becomes simple. Knowledge base updates as well as initiating and launching Bot voice or natural language customer interactions replace humans. 2> Scheduled Tasks: Backups and Application updates and patches along with more complex security audits can save as much as 20% of IT personnel time. 3> Cybersecurity: (SOAR) While gathering data intelligence, analyzing usage and making a determination automatically, remediation can be performed or assigned for human intervention. 4> Application Delivery: Up to 40% of IT time can be saved as well as increased accuracy within application development and testing. Website updates and monitoring, data gathering and categorization is fast and more accurate. Prior to embarking on any IPA, you should devise a strategy placing the easiest and less complicated implementations first. Quick wins with short return on investments time frames will begin to free up both non-specialized and specialized resources for other more pressing tasks. As IPA becomes more sophisticated and transparent it stimulates holistic and cohesive adoption. The more built-in functionality and sophistication designed within the IA software, the easier implementations will become, the faster the adoption and the better the return. The Intelligent Automation Era is raging forward as new functionality, efficiencies and quality standards promote speed to market. Those early adopters who embrace IA will surpass their competition, will execute more efficiently and at a reduced cost. A reduction in a non-specialized workforce will enable redeployment of specialized skills where needed therefore attracting market stability and investment potential. Projections for a positive financial win are fairly certain for early adopters of IA as long as the company’s strategy and deployments are sound. Solid measurements reducing or eliminating multiple types of operational, supply chain and customer interaction risks are an investor’s magic bullet. Most experts agree that Intelligent Automation is the most expansive revolutionary technology of the Digital Age.
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