Think Differently with Graph Databases

Curious about graph databases? Matthias Broecheler from DataStax talks with us about looking at the world through a graph lens and using it to solve real world problems. 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

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Data, Epidemiology, and Public Health

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

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Vast ETL Efficiency Gain with Upsolver

Ori Rafael knows the pain of trying to query data from enterprise data lakes for analysis. It’s slow time to value when you can only get access to the data after having to engage the engineering team and have them spend cycles pulling something together for you. That’s why he and his cofounder started Upsolver. It makes data immediately accessible to more than just the data engineers. Ginette: I’m Ginette, Curtis: and

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Data Flexibility in Healthcare

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. Jason Kolaczkowski: But rather than sort of be the good steward and try and anticipate the problems and make sure that the

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Education and AI

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.   David Guralnick: Somehow what’s happened in a lot of the uses of technology and education to this point is we’ve taken the mass education system that was there

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Upskilling from Home

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

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How to Reduce Uncertainty in Early Stage Venture Funding

Early stage venture investing has little data to draw from to make good investing decisions. So how has Connetic Ventures successfully developed a data system to inform their investment decisions? We chat with Chris Hjelm about the process they’ve used to develop something that does just that.  Chris Hjelm: We’ve back tested the data on a large number of companies and so have a data asset that’s 400 to 600 companies

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Data in Healthcare with Ron Vianu

If you’ve ever tried to find a doctor in the United States, you likely know how hard it is to find one who’s the right fit—it takes quite a bit of research to find good information to make an informed choice. Wouldn’t it be nice to easily find a doctor who is the right fit for you? Using data, Covera Health aims to do just that in the radiology specialty.

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Data Literacy with Ben Jones

We talk with Ben Jones, CEO of Data Literacy, who’s on a mission to help everyone understand the language of data. He goes over some common data pitfalls, learning strategies, and unique stories about both epic failures and great successes using data in the real world. 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 science, machine learning, and

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Social Media and Machine Learning

How do you build a comprehensive view of a topic on social media? Jordan Breslauer would say you let a machine learning tool scan the social sphere and add information as conversations evolve, with help from humans in the loop. 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 science, machine learning, and artificial intelligence are changing the world.

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