| | DECEMBER 20199received and rejected equally, to say the least. So far, the process has been to pervade AI through technology and applications, and then use it to improve the tech-nology's consumption, eventually providing that competence to the end customer. Take the case of fuel for your car. We all know that the fuel price in India keeps changing every al-ternate week or month. For exam-ple, say the price you paid to refuel your car last night was Rs.60, and perhaps a few weeks later, there is a price rise and you suddenly figure-out you aren't getting the same quantity of oil at a reduced price anymore. Now imagine you create an alert to notify you when the cost starts to rise, so you know the exact quantity you need for that long drive. This is a classic example of AI deployed to help you eliminate last minute surpris-es and get better prepared to deal with too many variables. The best thing about AI is that the technology is industry agnos-tic. No matter what industry you're in, or functionality you choose to use, AI promises to help you bring together knowledge based on your data. AI is used to build on obser-vations and formulate an action plan based on the combination of what's necessary or essential. There is a plethora of oppor-tunities to take advantage of AI and machine learning (ML) either through AI cloud services, as part of cloud platforms or embedded into applications. This means that there is an advantage for users to use these tools whilst also hav-ing the flexibility to play around with these tools in their most basic forms.The real key to make the most of AI is to not get bogged-down in the tech. There is definitely a need to bring-in a human element. When you take the best of individ-uals' knowledge and marry it with data, you push the limits of what is possible. We are living in an era where data is all set to become the new oil. Analytics and insight generation from massive volumes of data available to enterprises provides them immense power to create niche experiences for their customers. Like Mark McCormack said in `What They Don't Teach You at Harvard Business School', one can spot a seasoned golf player with their healthy tan, patience and ob-jectivity while looking into new-er avenues. These are the same qualities that will help us make the most of AI ­ except maybe the tan though. If you have the enthusiasm to become innovators and early adaptors of self-driving technology, you can then succeed at elevating AI from an exciting idea to something commonplace that makes our lives simpler and easier. Srikanth Doranadula
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