The Data Crunch Blog

As VP of Data Science and Analytics at GE Aviation, Dinakar Deshmukh talks about how he, and the large team he is over, solve big problems internally and externally by splicing the power of data science with deep domain knowledge. Ginette: I’m Ginette, Curtis: and I’m Curtis, Ginette: and you are listening to Data Crunch, Curtis: a podcast about how applied data science, machine learning, and artificial intelligence are changing the world. Ginette: Data Crunch

Telmo Silva created ClicData, an end-to-end SAAS BI platform, which as he describes, is the little guy coming up in the BI platform world. He talks about how his company was started, where it’s been, and where it’s going with cutting-edge R&D. He also offers additional thoughts on the role of data in the business world today. Telmo Silva: That’s the next thing that we’re trying to see, “well, if we

Keeping quality customers is the aim of nearly every healthy business. Cactus Raazi challenges the typical methods of doing this and suggests alternative data-focused pricing strategies in order for businesses to survive in the future.  Cactus Raazi: When I started to write the book, my initial assumption was that there was going to be this price deflation or intense pure-price competition in homogenous goods. But I noticed that obviously hospitality is

Robin Purohit: There’s lots of signals in this data that indicates whether a person or a piece of content is highly valued by the user community. And that’s really invaluable when you are gonna combine that with that kind of domain focus on the IT industry. Ginette Methot: I’m Ginette, Curtis Seare: and I’m Curtis, Ginette: and you are listening to Data Crunch, Curtis: a podcast about how applied data

Matthew Battifarano has always been interested in mobility and transportation. He talks to his intrigue with traffic equilibrium, which includes autonomous vehicles, ride hailing, bike sharing, etc.; what shaped it; and what lead him to his PhD at the Mobility Data Analytics Center at Carnegie Mellon University. Matthew Battifarano: This is something I’d never heard of before, before I started in the program. So a lot of the research I do

Ian Cassidy: When you did a PCA, a principal component analysis, like, it was like beautiful. There was, like, a red circle in the middle of, you know, the blue on purchase, you know, data points. And there were the red purchase ones and they were all clustered together. It was, it was really interesting. And like the, the machine learning model had a really good time trying to predict that

Does it feel like your stakeholders aren’t open to adopting your team’s algorithms? Ylan Kazi shares his experience on how to conquer this type of problem. Ylan Kazi: And that is very important. But I think what we find, especially in larger organizations and in trying to implement these things across an enterprise, is that the relationships and the communication are really key. Without those, you can have the best algorithm in