Welcome to another exciting episode of Data Crunch! In this episode, we dive deep into the world of data analytics and manufacturing with our special guests, Alex Reid and Jay Minutrie. Both Alex and Jay bring unique entrepreneurial and data-focused experiences to the table, making them the perfect duo for an engaging conversation about the future of manufacturing. We start with the origin story of their innovative technology, which began as an idea in Alex's father's laboratory at Tulane...

Working with structured and semistructured data can be hard, but it's currently much easier than working with unstructured data, like images, video, audio, and text. We talk with Davit Buniatyan, CEO of Activeloop, who chats with us about how he works to make unstructured data for machine learning easier and faster to work with. 

What's it like to build an AI product in an industry that still uses outdated project management technology and has no clear conceptual model? After receiving his PhD at Stanford, René Morkos speaks to this very situation. He describes his journey building an AI product in the construction industry.

After graduating from the University of Pennsylvania with a master’s degree in artificial intelligence/robotics, Edward Cui  was one of the first Uber self-driving car engineers. He’s had a lot of experience working with unstructured data and shares how we can increase the efficiency of modeling unstructured data by an order of magnitude.

What is the secret culprit behind overworked teachers and administrators in much of the educational system? We're joined by one of Data Crunch's finest, James Thomas, who tells from both a technological and personal standpoint the real difficulties faced by our teachers and students, and how the right approach to data can solve many of their problems.

If you haven't heard, GPT-3 is a machine learning model that can write text. Text that looks like a human wrote it—almost out of thin air.  The real opportunity is in the ease of use. GPT-3 doesn't replace your writers. It augments them, making writing faster and more accessible without compromising your results. The last thing you want to do is compromise the quality of your content because copy is an exponential business multiplier. The more you can apply it, the more business you'll get....

Higher education institutions house lots of important data that bad actors can access and sell on the dark web, like students' social security numbers, financial aid information, and national security research. Protecting this information should be a high priority for institutions, but it's not always easy to apply best practices and enforce compliance measures. We chat with Brandon Sherman about these issues.

As the VP of Data Science and Analytics for 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. 

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.

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. 

Robin Purohit talks to us about how he and his company are creating AI tools to help developers be more effective. Learn what their approach is, how they're training their models, and where they're headed in the future. 

As the first Mexican woman to get a PhD from Stanford, Debbie Berebichez has experienced what it takes to challenge norms and boundaries. She speaks about her personal experience overcoming cultural norms regarding women in STEM and her professional experience training company culture in data science.   Debbie Berebichez: It’s very important to encourage people to be evidence based. To see, okay, if you have a new idea for business, search for the metrics that are...

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 the ones in that red cluster where the things that people were were interested in purchasing. Ginette:...

Many companies are sitting on data assets that could be revenue streams for them, without knowing it. Matt Staudt of VDC discusses making latent data profitable. 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 is produced by the Data Crunch Corporation, an analytics, training, and consulting company. Ginette:...

With recent events being what they are, epidemiology has come into the spotlight. What do epidemiologists do and how does data shape their everyday experience? Sitara and Mee-a from "Donuts and Data" fill us in.     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 is produced by the Data Crunch Corporation, an...

Jason Kolaczkowski has worked in both a large-company data shop and in a company trying to help large companies fix their problems. He shares his perspective as senior director of healthcare analytics at NextHealth and former Kaiser employee on the importance of streamlining data definitions—and many other helpful insights.

For David Guralnick, education, AI, and cognitive psychology have always held possibility. With many years of experience in this niche, David runs a company that designs education programs, which employ AI and machine learning, for large companies, universities, and everything in between.  

Many of us are stuck at home right now, due to the Covid-19 pandemic. There are pros and cons to this. We have less of a commute, more quality time with people in our households, and time to do little tasks we've been putting off. On the flip side, it can feel isolating, basic necessities are much more of a concern, and every day often feels the same. Today we talk about taking advantage of extra time by upskilling in economies that may suffer as a result of the pandemic.