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In this blog, we’ll look at real-world AI applications in four different industries—healthcare, retail, manufacturing, and banking—to show you how AI can be a force for good in business. Diagnostics appear to be an especially promising intersection between AI and healthcare.
A 2020 Bain & Company survey shows that 84% of companies across all industries have accelerated their automation efforts, primarily due to the fallout from the pandemic. Investment in automation is increasing dramatically today in the pharmaceutical industry. And “ future-of-work” job opportunities in pharma rose 3.6%
Leveraging advanced technologies like RoboticProcessAutomation (RPA) and Intelligent Document Processing (IDP) can significantly streamline operations and enhance efficiency. What is RoboticProcessAutomation?
Organizations undergoing digital transformations are likely to uncover wide swaths of manual work that can and should be automated. For example, roboticprocessautomation (RPA) can automate e-commerce activities such as order processing, inventorymanagement and customer issue resolution.
While roboticprocessautomation (RPA) has made significant strides by streamlining repetitive tasks, it’s safe to say it’s not perfect and often falls short when dealing with more complex and dynamic processes. This improves efficiency and reduces administrative costs. That’s a hefty amount.
Examples of such technologies include artificial intelligence, machine learning, roboticprocessautomation (RPA), and low-code tools. Automation vs. Hyperautomation With the increasing importance of customer experience in the insurance industry, businesses must implement technologies that make customers’ lives better.
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