<transcript><audio_59>bot to provide support and the idea is and I'm sure you've seen these a million times you know you you type in a question and generally it says somebody's going to get back with you tomorrow the idea of hallo Vera is can we derive</transcript><transcript><audio_60>the an understanding of the question and can we provide an answer so they don't have to wait until tomorrow very much a work in progress you know the technology is not quite there yet but but the guy who created hallo Vera was one of the</transcript><transcript><audio_61>lead designers on IBM's Watson so I think they're gonna get there yeah so that's kind of an example of some of the things that we're working on in terms of you know what we were watching here and</transcript><transcript><audio_62>I will say in in in feature engineering it's kind of interesting because when you look at the analysis that was being done which was was very well represented you realized that this is stuff that computers are really good at and people</transcript><transcript><audio_63>aren't and there's some guys in California who kind of figured that out you know at h2o AI and what they did was they hired a bunch of Kegel grandmasters and they started recreating their</transcript><transcript><audio_64>process in software and so h2o AI gives you an interface that basically you feed the data in and it does all the feature engineering and does the testing and builds the ensemble and gives you the results and I think that that's really</transcript> bot to provide support and the idea is and I'm sure you've seen these a million times you know you you type in a question and generally it says somebody's going to get back with you tomorrow the idea of hallo Vera is can we derive the an understanding of the question and can we provide an answer so they don't have to wait until tomorrow very much a work in progress you know the technology is not quite there yet but but the guy who created hallo Vera was one of the lead designers on IBM's Watson so I think they're gonna get there yeah so that's kind of an example of some of the things that we're working on in terms of you know what we were watching here and I will say in in in feature engineering it's kind of interesting because when you look at the analysis that was being done which was was very well represented you realized that this is stuff that computers are really good at and people aren't and there's some guys in California who kind of figured that out you know at h2o AI and what they did was they hired a bunch of Kegel grandmasters and they started recreating their process in software and so h2o AI gives you an interface that basically you feed the data in and it does all the feature engineering and does the testing and builds the ensemble and gives you the results and I think that that's really
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