Making Millions Out Of Artificial Intelligence: Brighterion CEO Akli Adjaoute (Part 7)

Sramana: Do you have any beta customers for your marketing solution?

Akli Adjaoute: We have not yet entered beta testing for our marketing product, but our marketing team is being assembled and we are putting together an initial list of potential beta customers. We know we also want to go into identity fraud.

Sramana: The areas you mention are substantial markets. Identity fraud is a substantial market as well. The product has to be designed to address identity fraud. Marketing is another world that is unique; it is a crowded market in every dimension. In some ways, identity fraud is an easier market to get into than marketing because that market is so crowded.

Akli Adjaoute: Thank you for that insight. We do have some cases for identity fraud that we are looking into in welfare fraud and drivers license fraud. For the marketing area, I do think it is the same thing as fraud. I realize we can only do each market when the opportunity arises, but I believe this is the right time for us to enter the marketing space.

Raytheon had to see our technology in person to believe that our technology could even exist and work. Most people believe it is science fiction. We think that will be the case in the marketing space as well. We are going to need a few people to test it and taste it first.

Sramana: The domain of personalization has remained completely open. People are using all sorts of things for business Internet applications such as data mining, and you will find that some companies have come up with recommendation engines. Most of those technologies use collaborative filtering as the way of managing that process. Amazon has an extensive collaborative filtering recommendation engine and does a fairly good job of product recommendation. However, it is my belief that collaborative filtering is just the tip of the iceberg for targeted marketing.

Akli Adjaoute: I am somewhat familiar with collaborative filtering. It seems that there would be better ways to do this in the market. I would be interested to hear your take on collaborative filtering.

Sramana: If you try to do personalization on a specific domain like fashion, then you have to think that in real life there are retail stores that have five floors of clothing. As a person I am five foot [tall], petite, dark skinned because I am of Indian origin, with dark eyes and hair. For my profile, I am the object and there are a lot of characteristics that would match my preferences. There are a lot of options about how to make ‘my’ object compatible with the portfolio of merchandise the store has available for sale. Out of the thousands of pieces of merchandise a store carries, there are probably only a few hundred that are applicable to me. This is not possible to do with collaborative filtering. This needs a smart agent to implement, and nobody has done this yet.

Akli Adjaoute: I would be very interested in talking with you more on this marketing space. We have some ideas that we want to execute here. We have actually talked some about doing something that is related to what you have described. What we can tell you about our technology is that we have different technology and each one is proven. Some technologies are excellent for detection, others reduce false positives. In collaborating we can increase the quality of intelligence that we provide. I don’t think that it is arrogant to claim that we have unique technologies.

Sramana: I agree. I think you do have the basic technology portfolio that I find that exciting. I think this is a very promising area for Brighterion. I really enjoyed talking with you, and I look forward to seeing how this progresses.

This segment is part 7 in the series : Making Millions Out Of Artificial Intelligence: Brighterion CEO Akli Adjaoute
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