Anindya Ghose is the Heinz Riehl Chair Professor of Business and the Director of the Masters of Science in Business Analytics program at NYU Stern School of Business. He is the author of the best selling and multiple award winning book, TAP: Unlocking The Mobile Economy which has been translated into five languages. In 2014 he was named by Poets & Quants as one of the “top 40 outstanding business school professors under 40 in the world” and by Analytics Week as one of the “top 200 thought leaders in Big Data and Business Analytics”. His rise from Assistant to Full Professor in 8.5 years is widely considered as one of the fastest in the history of the elite business schools globally. He is the youngest recipient of the prestigious INFORMS ISS Distinguished Fellow Award. In 2017 he was recognized by Thinkers50 as one of the Top 30 Management Thinkers globally most likely to shape the future of how organizations are managed and led in the next generation. He was ranked in the top 1% of the world’s most influential researchers by the Web of Science between 2008-2018. He teaches courses on digital marketing and business analytics at 6 different degree levels (including C-Suite) at NYU. Anindya has worked with several Fortune 500 companies in the US, Asia, Africa, and Europe as consultant and coach. He is a frequent keynote speaker in leading events globally and has given more than 250 talks internationally.View the profile
About the talk
Welcome to add to the TV here at the AI Summit New York. We're very pleased to have this day. I need a guard who is Heinz real Chip 5th Ed. And why you said, how are you? How are you enjoying it? So far off speakers have some great things about how to leverage a I unblock change Malachi's mobile economy in different parts of the world with different companies in different Industries and how they can leverage, you know, artificial intelligence tool kids and a massive
source of data coming out of our smartphones to be able to create a win-win for both consumers and brands. And what I give you audience is a glimpse of 9 forces that I've identified in my book that I published two years back and he's 9 forces can be used by these companies to monetize all of this data and then the tree is very kind of the butler concierge relationship with consumer so that they feel more comfortable and then I sharing data with companies. Use cases you're seeing in terms of AI for mobile.
What kind of done at Century shows companies how you can take their location to get up consumers and then add Dish channel layers of air on top of the location data and then use that to send them the right offer at the right time with the right location on the right place and so on and so I think targeted advertising and mobile marketing is all this lie the most dominant form. When what I'm talking about sales in Boston in the retail sector. What do you think that the
biggest mouse store in because of a I was that sick. Redwine. You know, how do you say? I got some of the world that you've done in the retail space is helping retailers integrate consumer online and offline data and other same persons online and offline data and then use that to better predict how this comes you must might behave in the future. So retailers going to respond to those behavioral in an action point so I think that's being neighbors companies to instead of treating the
two was at silos in a separate online and separate offline world. You can get it now or 360-degree holistic view. I want the game of basketball shoes and then you've shown that it doesn't know a great things for that for your bottom line on top light. So there's a lot of misconceptions in the Nai. What are you seeing for sale in boxing in the entrance of the biggest misconception around? I feel like one of the biggest misconceptions is. I do know a eye is
about to get you another wise enough people would create this doomsday scenario and say oh dear God isn't always discriminative are unfair, you know, they penalized the week and make the strong the strong and so on and I just want to let you know I think those are possibilities but they're not by any means guaranteed outcomes another word of this background in a data science and analytics and we held companies Frida's algorithms to Target people with the right message. We take a lot of you know efforts in making sure that we prevent this sort of
possible fallacies, you know, like we spend a lot of time cleaning the data for example to prevent these biases we want to prevent discrimination from appetite nobody's up whenever that happens, but I think they are being thrown around. They're saying hey, everything about AI is just going to make Humanity worse off and I just want to make sure people say no. Let's come to the middle realize it's upside and downside is a technology technology can be misused. I can be used. So I just want to let you know pacifier and play head and like Olivia is
concerned and you know, you always have to worry about the downside. I think there's enough good people in the world and more cognizant of the responsibilities that they take a lot of steps to an able not enable this kind of unfair practices in sales marketing retail any other kind of industry about fixing the next train going to be dominating technology. Important because his wife in a blockchain gives us the capability to ascertain the quality of the data in a bona fide genuine dead, or is it from Fay for the day
before you do anything meaningful birthday? I toolkit because you are only as good as the train if you don't take enough steps in like, you know, the screening processing structuring the day that you're going to end up the garbage in garbage out the parts we have to do this data cleaning process. Mostly manually. We didn't really have automated tools to ensure that the data generation process itself is of an akkadian Bonafide. What do you see now at least in the world of the digital economy is blockchain can enable this generation process to be
Bonafide in Arkansas is from having to deal with God of fuel and data over time, and that's why Intersection of blockchain and AI will happen because it's a win-win or company's Right light. If you have an existing technology that can be used to clean up another set of Technologies Daniel just collectively better off. Just what I think you'll see a lot of fun.
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