Monday, November 28, 2022

AI’s Top Use Cases

By Meeta Ramnani - July 29, 2019 3 mins read

Enterprises are increasingly undertaking AI pilots for operations. IT automation, cybersecurity, and quality control are the most popular uses of AI technology.

As AI technology becomes more comfortable to use, it has proven to be very healthy for the bottom line. The Deloitte survey of U.S. executives states that IT automation is the most popular use case for AI. Almost 50% of companies have undertaken automation, followed by quality control at 46% and cybersecurity at 41%. Cybersecurity is also the top AI, and ML use case in an Apex survey of 600 executives around the world.

Experts believe that   IT professionals are comfortable working with data and more attuned to innovations. Moreover, since AI, ML, and data science applications are very IT-intensive, these professionals work well with the extensions of the AI technology and automation, which also makes them forward-looking.

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Another most used highest-profile use of AI is to make intelligent predictions. From predictions on weather to product demand, and even predictions of movie success rates- or predictive analysis for breakdown of equipment – Artificial Intelligence finds multiple uses in enterprise.

In health care and medicine, AI and ML are now being used to analyze genetic data, medical histories and to predict disease and spot promising treatments. A Gartner survey shows that 38% of health care providers rely on computer-assisted diagnostics.

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The next most popular use case of Artificial Intelligence is customer service. This area is becoming headed up predominantly by virtual assistants. Deloitte’s survey also mentions that sales optimization and marketing optimization is one of the top ten most used AI cases. A Gartner survey that released in June shows that 75% of companies increased their spending on CX technology in 2018. Over 53% of respondents said that AI would have the most significant impact on CX in the coming three years. Another 39% cited virtual customer assistants and chatbots.

To improve CX using Artificial Intelligence, companies are also incorporating external data sources like social media, as well as other types of unstructured data. Experts have also observed companies using data for creating in-house personalization and analytics.

While Artificial Intelligence has endless use cases, automation is something that has become an essential part of the manufacturing industry, making them change the systems altogether. Predictive analytics is transforming healthcare, while AI in CX is changing social interactions.

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Meeta Ramnani

Meeta Ramnani is the Senior Editor with OnDot Media. She writes about technologies including AI, IoT, Cloud, Big Data, Blockchain across various industries with a focus on Digital Transformation. An avid bike rider, Meeta, is a postgraduate from Indian Institute of Journalism and New Media (IIJNM) Bangalore, where her specialization was Business Journalism. She carries four years of experience in mainstream print media where she worked as a correspondent with The Times Group and Sakal Media Group in Pune.

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