What We Can Learn from Machine Learning

What We Can Learn from The Machines

10-Jun-2024 11:06:04
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What We Can Learn from The Machines

Even though I often clutch my pearls when the topic of AI is brought up, I can admit that it has benefits in this era of innovative technology. After all, there would be no AI without human intelligence and creativity in the first place.

The term ‘Artificial Intelligence’ (AI) was coined by the American computer and cognitive scientist John McCarthy in 1955. Researchers like Alan Turing and John McCarthy laid the groundwork by exploring the potential for machines to perform tasks that typically require human intelligence, such as problem-solving, learning, and language understanding.

The primary purpose of AI is to augment human capabilities, enhancing and automating tasks, improving efficiency, accuracy, and productivity across various industries. This, of course, means a great deal of change is taking place in the business landscape today due to the implementation of AI.

How AI Boost BPM?

Think of AI as the digital offspring of humanity. Our data is what has been teaching AI language, mathematics, and art, and now it is ready to fly the nest and get a job. A job in business process management (BPM), for the sake of this metaphor. Inside the digital space of BPM, AI has the potential to add great value to companies:

  • Process Optimisation: Through AI-driven automation, routine tasks become streamlined, allowing employees to focus on more strategic and creative aspects of BPM. This optimises resource allocation with predictive insights, enabling companies to anticipate process bottlenecks or setbacks and address them before they become problematic. This improves accuracy and saves time that would otherwise be allocated to fixing mistakes.
  • Adaptive Processes: Where AI addresses complex problems, ML leverages data to refine solutions and help with informed decision-making. This enables companies to adapt their processes to changing conditions, ensuring responsiveness and adaptability in BPM.
  • Continuous Improvement: When AI addresses complex problems, it leverages data to refine solutions and assist with informed decision-making. This enables companies to adapt their processes to changing conditions, supporting responsiveness and adaptability.
  • Continuous Improvement: When AI is used to identify and mitigate risks in processes and refine them based on real-time data, it drives innovation and fosters continuous improvement. This transforms BPM into a dynamic and future-ready discipline.

It is best to embrace AI as tools that help propel individuals and businesses alike in the ever-changing and demanding world that we are confronted with. As our European distributor, Alfred Pawson, CEO at DnA Digital Technologies, stated at the annual FlowCentric Partner Awards 2024 “By automating tasks such as content creation and decision-making, AI can accelerate business processes to increase efficiency, and allow human resources to focus on strategic, complex aspects of business processes.”

Join the ranks of the most powerful companies powered by FlowCentric Processware. Contact us today to discover how your company can transform its processes into a harmonious symphony of efficiency and success.


Topics: Guides and Resources, Trends, Digital Business Transformation

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