Lights On Data Show

How do you get started in AI? What are some of the recommendations for a learning paths, resources to benefit from, potential career paths and more? Our guest today is Vini Jaiswal. She is a Data AI Influencer, Published Author, Keynote Speaker, and currently a Developer Advocate at Databricks.

There's always the people side of any data project and we often forget that we need to manage change for the stakeholders and teams involved and not just the deliverable itself. In this episode we'll talk about those best practices on better dealing with the people side of managing data projects. Dan Everett is the VP Product & Solution Marketing at Informatica. He has more than 20 years of experience in data and analytics spanning strategy, governance, management and ethics. His passion is helping people understand how to use data to improve business and organizational outcomes.

Let's connect the dots between data management, data governance, responsible AI, diversity and inclusion and see how we can become a cognitive enterprise. Debbie Botha is a Chief Partnership Officer with Women in AI.

How to you ensure the value of your predictive analytics projects? How do you best estimate the ROI before the project stars? Let's find out. Keith McCormick is an independent consultant, trainer, speaker, and author of seven books. He has created over 20 LinkedIn Learning courses and frequent conference workshops, and has reached 1000s of individuals trying to learn statistics, machine learning, and data science. 

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.