3 11.2286 19.3989 11.4039C18.2843 12.5031 17.6416 13.9953 17.6079 15.5626C17.636 15.8553 17.5987 16.1506 17.4987 16.4269C17.3987 16.7033 17.2384 16.9539 17.0297 17.1603C16.8209 17.3668 16.5689 17.5239 16.2919 17.6203C16.0149 17.7168 15.7201 17.75 15.4286 17.7177C14.6771 17.7199 13.9338 17.8741 13.243 18.171C12.5523 18.4679 11.9284 18.9015 11.4086 19.4459C11.2216 19.6381 10.9947 19.7869 10.7441 19.8818C10.4935 19.9766 10.2252 20.0152 9.95809 19.9947Z29:T64e,

There is no doubt that AI and Machine Learning have had a tremendous impact on business. It fact, it is being applied to almost every industry there is. Here are some quick examples of how AI/ ML have created business value across several industries:

Financial Services (My industry) – The Financial services industry relies heavily on AI/ ML algorithms to help detect fraud in real time, saving companies millions in losses. They also use these algorithms to give their customers (e.g. merchants/ SMBs) access to online business trends and peer benchmarking – adding real value to these businesses every day.

Retail – This is an industry that has been on the forefront of this tech in order to improve customer experiences. They use AI/ML to create a seamless experience between online interactions and in-store purchases. Think about Walmart and their experiments with facial recognition technology to determine if their customers are happy or sad at their point of purchase.

Farming – Yes AI/ ML has also reached farming. John Deere has actually invested in building robots that make decisions to treat plants with pesticide based on immediate visual data – taking weather and infestations into account!

Manufacturing – Auto manufacturers have done a good job with collecting data from cars to predict when parts would fail or when they need servicing. This not only allows them to uphold their safety records but also allows them to create products to improve driver and

Udit Bhatia

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