Intelligent Automation Technology Is a Necessity In 2020

Intelligent Organizations are increasingly adopting automation tools to solve business challenges and remain a step ahead in the digital age. Reshaping the future of business operations with tools that use AI and automation, i.e., the shift from conventional practices to digital is a bit challenging.


However, the implementation of intelligent automation promises great benefits for businesses, as it is fast delivering on promises of business optimization, cost savings, improved efficiency, and productivity.

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Cognitive algorithms have been now been integrated into the complex situations that mirror screen deviations and human reasoning.  Intelligent Automation is expected to bring transformations into the latest robotic trends. As per Forrester, the investment plans for robotic process automation is exceeding $2.9 billion in 2021. It is modifying the expansion of data flows and computing power.

AI can be made even stronger as a transformation agent by the intelligent use of data. The efficiency AI brings to business processes is well documented. Today, a company can save more than 50,000 man-hours adopting automation and complete test cycles about 50% faster than before.  This is not even taking into account the increase in quality levels of production, or efficiency and agility for time to market.

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There are many examples of AI delivering superior force to production processes- Certify cleans up quality assurance and other execution procedures, approving business functionalities to find production deformities and replacing difficult work in production. Analyze is another solution that automates the business process revelation. Thus AI makes it extremely easy to identify slacks in processes and ensure the wrinkles are ironed out, effortlessly integrating all processes into one efficient whole.

Enterprise CIOs focus majorly on productivity, work efficiency, costs, etc. because improving any of them would result in increased profits for the company.  Besides, it tackles the systems integration gaps and functionalities that the software suppliers have missed. Automation platforms are equipped to handle complexity generated in driving agility and improvement in the application development lifecycle, also improving quality.

Today supported by automation, AI  is becoming a significant participant in the market, creating a revolution that drives enhanced business opportunities.