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An automation process involves automating several processes in different domains, while industrial automation involves automating manufacturing and industrial processes.
Streamlining the software development lifecycle through development automation reduces errors, reduces repetitive tasks, and speeds up the creation of high-quality applications.
With the help of data science, businesses can gain meaningful insights, perform predictive analytics, and make informed decisions by identifying patterns and trends in vast datasets.