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AI &
Machine Learning

When concidered together with IoT, many creative use cases make life easier. 

There is a wide range of applications for AI in business. For example, retailers can use AI-powered tools to analyze customer purchase data and identify which products are most popular by running ads and gathering purchaser information. This can help inform inventory and marketing decisions. Banks, governments, financial institutions and more are already using AI to reduce the risk of individuals getting money stolen and to reduce fraud. Even big companies are using these kinds of AI strategies to help better manage their large-scale businesses.

AI can also be used to improve customer experiences and business dealings. For example, chatbots can act as customer support to answer basic questions before an operator can help and to provide assistance in a personalized and efficient manner. 

Another area where AI is having a significant impact is in the realm of automation. AI-powered tools and software can perform tasks that have to be done every day on a specific schedule. This can free up employees to focus on more complex and creative work that needs a human’s attention.

Machine learning is a branch of artificial intelligence (AI) and computer science which focuses on the use of data and algorithms to imitate the way that humans learn, gradually improving its accuracy.

Ultimately, Generative AI technology will cause a profound disruption to industries and may ultimately aid in solving some of the most complex problems facing the world today. Three industries have the highest potential for growth in the near term: consumer, finance, and health care.

Given that the pace the technology is advancing, business leaders in every industry should consider generative AI ready to be built into production systems as soon as possible. Companies that don’t embrace the disruptive power of generative AI will find themselves at an enormous—and potentially insurmountable—cost and innovation disadvantage.

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