AUTOMATED BUSINESS PROCESS MANAGEMENT - IN TIMES OF DIGITAL TRANSFORMATION

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How Artificial Intelligence can help businesses become smarter and more efficient
  11/3/2021 7:12:22 AM  By: Emilyn Frugalidad

Optimization of business processes is still a challenge. Companies should optimize internal processes in times of digital transformation, rapidly changing internal and external framework conditions and new customer expectations for fast delivery and high-quality goods. But what if the framework conditions change? The  goal is to examine how machine learning and artificial intelligence will impact Business Process Management (BPM). Digital companies will be interviewed and analyzed to identify application areas. The findings will be actionable recommendations for BPM and process optimization using machine learning and AI. Automated BPM will help companies decide which tool to use to optimize and manage processes using machine learning and artificial intelligence.


Based on Robosoft Technologies, while it may take some time for AI to become as pervasive in our lives as electricity, we are on the right track. Additionally, businesses are placing a high premium on technology. According to a report, the AI market will grow at a 52 percent compound annual growth rate through 2025. As businesses increase their investment in AI, the reign of AI is just beginning to reshape and accelerate innovation across industries such as healthcare, manufacturing, and retail.

 

While AI has accelerated the pace of innovation across industries, it has also permeated the very foundations of business operations and is set to transform how people work on a daily basis, negatively impacting enterprises' return on investment. According to a report from Accenture, artificial intelligence has the potential to boost enterprise productivity by 40% or more by 2035.

 

The larger technology companies are laying the groundwork for automated and artificial intelligence-enabled processes. The industry as a whole must evolve in terms of technology, trained resources, and so on; deployment costs must come down for smaller players to participate in the AI revolution; and finally, cost-effective infrastructure must be created.