Gesamtlänge aller Episoden: 3 days 11 hours 35 minutes
Join us and the Founder & CEO of AnalyticsIQ, Dave Kelly to understand why blending cognitive psychology with data science allows one to predict things about 200M+ individuals. Plus much more!
Tackling bad data quality is one of the major hurdles that a company is facing. So how do you change that?
Join us and Sharad Varshney, OvalEdge CEO, to learn what are some of the best practices for improving data quality.
How safe are we in the digital world as an individual and as a company? Together with Matthew Rosenquist, renowned cybersercurity expert and the Chief Information Security Officer at Eclipz, we'll uncover various cybersecurity insights.
We're joined by Thom Ives, Ph.D., data scientist extraordinaire, with an extensive experience in engineering, data science, machine learning and AI and much more. We'll talk about his journey, the many uses and value of Python, and of course plenty of recommendations for anyone looking to build their career in data science.
We are joined by these amazing Data Scientists: Danny Ma, Joe Reis, Koo Ping Shung, and David Langer as we'll talk about all things data science...
Do you want to learn more about advanced analytics applications on imaging? Then you shouldn't miss this episode of Lights On Data Show.
The applications and benefits are plenty...
Let's talk about data storytelling, its importance and best practices with world renowned Kate Strachnyi.
Data literacy is the ability to read, understand, create, and communicate data as information. In this show we will be joined by the founder & CEO of DataLiteracy.com, Ben Jones, as we'll address this topic and see how we can all grow in data literacy.
Do you want to understand how to create and implement a value driven data strategy? Then join us on this episode with Samir Sharma, CEO & Founder of datazuum.
What's the missing link in your data program?
Tom Redman, the Data Doc, returns to our show to share the results of a long-time research program that should fundamentally change how companies manage data and put it to work.