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big data
Thought Leaders in Big Data: Interview with Dr. Saed Syad, Chief Data Scientist at AdTheorent (Part 3)
Saed Syad: The second thing is that there are many issues related to those types of techniques, which is independence between variables. To come up with a solution to solve this issue, they found a remedy for it by creating enneagrams, just to find the correlation between different keywords. If I have a data set
Thought Leaders in Big Data: Interview with Dr. Saed Syad, Chief Data Scientist at AdTheorent (Part 2)
Saed Syad: With big data, even without having any predictive modeling, we can answer some of those questions by looking into the database. What we call targeting or retargeting is some sort of a database query that makes it faster than you do it in memory. Just having the amount of data we have it
Thought Leaders in Big Data: Interview with Dr. Saed Syad, Chief Data Scientist at AdTheorent (Part 1)
Dr. Saed Sayad is the chief data scientist at AdTheorent, a platform that provides real-time analytics for advertisers. Saed is an adjunct professor at the University of Toronto and has more than 20 years of experience in data mining and statistics. In this interview he gives us detailed and technical information about the process of
Thought Leaders in Big Data: Interview with Chris Carter, CEO of Approyo (Part 6)
Sramana Mitra: You became one of the major SAP Hana developers. You are part of the SAP Startup Focus program. Now you have core expertise in doing facility management and energy optimization for hospitals. When you go back to the SAP Startup Focus program, are they able to match you up with all the hospital
Thought Leaders in Big Data: Interview with Chris Carter, CEO of Approyo (Part 5)
Sramana Mitra: How would that be followed through? Let’s say I am in the store, and I am looking for something that the store knows because of all the implementation you have done, integrating the POS System. How is that last mile bridged? Who is approaching me? Is there floor staff who gets a notification
Thought Leaders in Big Data: Interview with Chris Carter, CEO of Approyo (Part 4)
Sramana Mitra: Can you talk about what kind of heuristics you are using in the wealth management scenario? Chris Carter: When you look at wealth management, you have structured and unstructured data. You have all those nice Excel spreadsheets, documents, and plenty of data points about what you are doing when it comes to your
Thought Leaders in Big Data: Interview with Chris Carter, CEO of Approyo (Part 3)
Chris Carter: We are very fortunate to have very strong staff members who have focused on that within not only the SAP or big data ecosystem, but on the healthcare system. They know how to benchmark certain statistics. I didn’t even know the linen side or the cafeteria side to the story. They brought that
Thought Leaders in Big Data: Interview with JR Reagan, Federal Chief Innovation Officer at Deloitte Services (Part 6)
Sramana Mitra: What is the source of the problems? Is it the customers who bring the problems to you, or do you bring the problems to the customers? JR Reagan: We normally have “Art of the Possible” sessions – they are about two hours long. Sometimes [people] are very eager and want to launch off
