Lights On Data Show

Our guest today is Ashish Patel, Chief Data Scientist at IBM. He'll share his story, how to get into the field and best practices to follow as a business data scientist. He'll also tell us why the agile methodology is not the best to use for ML/AI projects, what are the important things to follow to make your data science project successful and why failure is welcome.

Data lineage helps organizations understand the full story behind their data so they can make better business decisions. There are, however, MULTIPLE ways how to do data lineage. Let's understand these different approaches, the importance of each, best practices to follow, and the connection to business glossary, data quality, and overall data governance. Our guest for this episode is Torsten Priebe, Chief Technology Officer at Simplity, the company behind the Accurity data governance software suite.

Jordan Morrow, author of "Be Data Driven" will tell us how organizations can harness the power of data and become a data driven organization.

Learning and acquiring the skills required to be a data scientist can be hard and sometimes cost prohibitive. Some courses and some tools are definitely expensive. But you shouldn't let this deter you from achieving your goal of becoming a data scientist or improving your existing skill set. There are some great FREE resources out there for data science.  T. Scott Clendaniel, Lead Artificial Intelligence Solutions Architect at Booz Allen Hamilton will share with us this trove of FREE resources for data science.

Change management 101 for data projects. In today’s episode we’ll have a fireside chat on: What change management is and why it’s important; The 4 main principles to follow; Different change management frameworks; Best practices to abide by. With Change Management Professional and Expert, Diana Firican.

Discussing about those best practices on creating data communities and growing a data culture. Our guest today is Christopher Wagner, Principal Data Insights & Analytics Solution Architect @ KratosBI and creator of the Data Gods. 

Tiankai Feng is a Data Governance Professional, Musician & LinkedIn Creator. He's combining his artistic talents with his passion for data. In this episode he will tell us how data governance can be made more fun and approachable, share tips and tips on how to make it meaningful to its stakeholders, and tell us about his journey from digital analytics into data governance.

Joe Reis, CEO of Ternary Data and Matthew Housley, CTO of Ternary Data are joining us on this insightful episode to talk about the Fundamentals of Data Engineering.

Lee Feinberg is the Chief Data Officer and the creator of the concept, "Intent Before Content". He'll give us some tips on how to create a data visualization that sticks with the audience and the message it is trying to convey. Quick tips: its starts with the intent, knowing the audience, drawing the sketch, asking the question, and only at the end employing those data visualization best practices.

Should data governance be called "data governance" or is there a better name for it to ensure its adoption and support? What about the "data steward" role? How should we use communication and change management to help the organization better embrace it? What are those best practices to best improve data quality? How do we stop a data lake from turning into a data swamp? We address all these questions and more with Shinji Kim, the Founder and CEO of Select Star.