Thanks to AI, business applications will soon be able to answer complex questions, help users navigate interfaces, and enable cloud vendors to reduce support from personnel to manage their loads. AI is also being used in various software applications to help decision-makers identify and automate repetitive tasks, improving employee productivity. Increased understanding of how to better implement AI in business applications likely will lead to the emergence of new features, such as natural-language processing (NLP), that can help managers interact in more-intuitive ways with AI-powered apps.
In this article, you'll learn about the innovative features powered by AI and machine learning (ML) that you can expect to see in business applications in the next five years.
The greatest challenge that leaders face in the new hybrid work reality is the loss of meaningful in-person connection. Can Microsoft Teams provide the digital equivalent of the “hallway” conversation? According to the Microsoft 2022 Work Trend Index, “Unscheduled, ad hoc calls have risen 8% in the past two years and now make up 64% of all Teams meetings. And meetings under 15 minutes now make up a majority of all meetings (60%) and are increasing more than any other meeting length.” Microsoft Teams allows every employee to feel connected regardless of where they call work. Learn more Read More...
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