DBTB INT S Srinivasan r

[Music] yes srinivasan associate dean and yes srinivasan associate dean and distinguished professor Texas Southern distinguished professor Texas Southern University Houston Texas I said to meet University Houston Texas I said to meet lot of professionals from various lot of professionals from various industries so that helped me understand industries so that helped me understand the especially the LA today I attended the especially the LA today I attended several sessions yesterday some sessions several sessions yesterday some sessions on general data parsing and how to on general data parsing and how to derive information out of that so they derive information out of that so they were very helpful the I aspects the were very helpful the I aspects the machine learning also the legal aspects machine learning also the legal aspects of that because you are able to derive of that because you are able to derive knowledge from add apparently disparate knowledge from add apparently disparate data and use that information very data and use that information very effectively in my talk I specifically mentioned that in my talk I specifically mentioned that behavioral analytics is very important behavioral analytics is very important because we are able to derive from lots because we are able to derive from lots of sources of data information about an of sources of data information about an individual's personal attitudes towards individual's personal attitudes towards the thing they are trying to protect so the thing they are trying to protect so if those things change over period of if those things change over period of time which invariably does the time which invariably does the organization should keep track of that [Music] [Music] first you need to have good ability to first you need to have good ability to process large volumes of data quickly so process large volumes of data quickly so that requires a lot of knowledge of that requires a lot of knowledge of mathematics and statistics are there mathematics and statistics are there things that we emphasize in our program things that we emphasize in our program I do teach a class in their data science I do teach a class in their data science actually big data processing not data actually big data processing not data science are such where we emphasize the science are such where we emphasize the need for knowing several additional need for knowing several additional things besides your own subject AD&D but things besides your own subject AD&D but ability to process large volumes of data ability to process large volumes of data quickly requires knowing what clustering quickly requires knowing what clustering means those kinds of husband you [Music]