Hyper automation

Gokula Nandhini K May 04, 2023 10:20 AM Technology

Another dominant trend in data science in 2023 is hyper-automation, which began in 2020. Brian Burke, Research Vice President of Gartner, has once said that hyper-automation is inevitable and irreversible, and anything and everything that can be automated should be automated to improve efficiency.

By combining automation with artificial intelligence, machine learning, and smart business processes, you can unlock a higher level of digital transformation in your enterprise. Advanced analytics, business process management, and robotic process automation are considered the core concepts of hyper-automation. The trend is all set to grow in the next few years, with more emphasis on robotic process automation (RPA).[1]

Figure 1. Hyper automation

Hyper automation is shown in figure 1. Hyper automation is the concept of automating everything in an organization that can be automated. Organizations that adopt hyper automation aim to streamline processes across their business using artificial intelligence (AI), robotic process automation (RPA), and other technologies to run without human intervention.[2]

Examples of hyper automation:

Generic examples or use cases for hyper automation include:

  • Understanding documents using OCR (Optical Character Recognition)
  • Understanding emails using NLP (Natural Language Processing)
  • Forecast stocks and automate restocking
  • Enhancing automation flows using AI/ML (Artificial Intelligence/Machine Learning) [3]

3 Things to know as you select hyper automation tools and shape strategy:

  1. Ensure technology is connected throughout your workflow.
  2. Give the right job to the right person (or bot).
  3. Garbage in, garbage out: Data architecture matters.[4]

Benefits of Hyperautomation:

  • Increased ROI
  • Process automation
  • Better operational efficiency & productivity
  • Faster time to market [5]

The bottom line with hyperautomation is that anything that can be automated should be automated. When you combine such advanced intelligent tools as AI, AI and Machine Learning, RPA, and NLP, the sky's the limit with how much benefit your company can derive. Hyperautomation ensures that every intelligent tool is being optimized to provide the greatest business benefit across the broader organization. [6]

References:

  1. https://www.datatobiz.com/blog/top-data-science-trends/
  2. https://www.ibm.com/topics/hyperautomation
  3. https://www.leapwork.com/blog/hyperautomation-examples-4-ways-of-leveraging-the-technology
  4. https://appian.com/blog/acp/hyperautomation/technology-tools-key-facts.html
  5. https://www.neebal.com/blog/hyperautomation-a-necessity-for-modern-organizations
  6. https://www.simplilearn.com/what-is-hyperautomation-article

Cite this article:

Gokula Nandhini K (2023), Hyper automation, Anatechmaz, pp.54

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