• webmaster9757

Personalized AI, Ever-Morphing Model for Success

by; Christina Francis, VP, Engineering

Personalized AI
Personalized AI

As the new year kicks off, it is one of the two times a year I focus on Las Vegas.  Not for the casinos and the shows, but for the conferences.  July is the Black Hat and Def Con conference, but January is the world’s biggest consumer technology trade show, Consumer’s Electronic Show (CES).  I don’t get to attend as often as I would like, but with social media, and the unending stream of users’ blasting their experiences to the world, I feel like I am there.  CES represents what is on the horizon, foreshadowing what is to come.  And materializing the imaginations of inventors everywhere.

Each year CES brings a bit of nostalgia, as I remember in the early 1980’s my grandfather had a computer, so large it took up his living room and dining room, while a peg board in the spare bedroom held telephones, with receivers hooked to different computers, as his ‘network’, which were passing data back and forth. He told me that before long we would carry computers in our pockets that did more than the monstrosity in his living room.  Little did I know, how right he was back then. I realize today this is common place, but this was the early 80’s, before dialup, and before AOL.  I was young; I didn’t quite realize the magnitude of the cool stuff that was happening at Grandpa’s house, but its these memories, that bring a youthful exuberance and excitement I feel each year with CES.

The big take ways this year are both 5G and AI.  Getting our data faster and having it do more things for us. Artificial Intelligence is all around us in various forms and these “smart” devices continue to be the focus on the consumer front.   These gadgets learn things about us, our habits our preferences. With these network connected devices sending the information back to the manufacturer, in order to add levels of personalization to each user’s experience. Personalization with AI continues to emerge and develop.  For example, have you ever searched for something and gotten one set of results, and your coworker will enter the exact same search into the same search engine, and get different results?  This is AI personalization. The search provider takes into account your previous searches, and which links you have clicked on to deliver the results that it believes are more applicable to you.  There are pros and cons to this level of personalization.  More often than not it makes us more efficient.  Items that have shown a pattern of interest to us tend to show up on the first page.  In a 2014 study, from Advanced Web Rankings, show most users don’t go past that first page, and 67% of clicks are the top five listings. On the Cons side, if you are doing research the results you are shown, based on your initial search, may be biased, due to what you have searched or clicked on before, and what the AI algorithm believes you will want to see.  You are looking for new ideas, or information, it may now be on the second or third page because they are not in line with your current personalized AI experience.  The great thing is that your personalization experience is an ever-morphing model.  As you change, it will change too.  Personalization of AI is just one of many facets of AI, and CES.   As we continue to build new data models our personalized AI experience will continue to evolve, are you ready for the next new “smart” gadget or the next phase?