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Watch and Listen to Your Favorite Episodes!
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Listen to the Podcast Version
Season 4 Episodes:
- Ep. 36: Data Observability vs. Data Quality
with Bill Schmarzo, Customer Advocate for Data Management Innovation at Dell Technologies and Author - Ep. 35: 5 Steps to Achieve Proactive Data Observability
with with Ryan Yackel, CMO at Databand - Ep. 34: How to Be Data Analytical
with Jordan Morrow, Funder of Bodhi Data and Author - Ep. 33: Building the Future of Audience Intelligence
with Joe Schaeppi, CEO at Solsten - Ep. 32: How to Improve Data Transparency
with Lauren Maffeo, Senior Service Designer at Steampunk and Author - Ep. 31: LLMs and Their Impact on How Companies Use Data
with Ryan Janssen, CEO at Zenlytic, and Paul Blankley, Founder/CTO at Zenlytic - Ep. 30: Data Observability vs. Data Quality
with Ryan Yackel, CMO of Databand and Stephanie Valarezo, Senior Product Manager at IBM - Ep. 29: Applied The Data Governance Challenges of LLMs
with Robert Seiner, Author and Founder at KIK Consulting - Ep. 28: Cultivating Data Literacy in Kids
with Gulrez Khan, Data Science Lead at PayPal - Ep. 27: Uniting People and Data
with Dr. Tom Redman, “the Data Doc” - Ep. 26: How to Transition into Data Science
with Jess Haberman, Director of Learning Solutions at Anaconda - Ep. 25: Build Governed Data Products - Without All The Mesh
with Vishal Singh, Head of Data Products at Starburst - Ep. 24: The Future of Workplace Automation
with Jon Darbyshire, CEO & Co-Founder at Smartsuite - Ep. 23: Applied Cartography
with Steve Orrin, Federal CTO at Intel - Ep. 22: Neuroscience in Data Visualization
with Lucia Stefanuto, Data Storytelling & Visualization Lead at Startup Genome - Ep. 21: Intro to Data Quality
with Hetal Kapadia, Technical Evangelist at ActiveViam - Ep. 20: Augmentation of Data Governance with ChatGPT and Large LLMs
with Anthony Woodward, Co-Founder and CEO at RecordPoint - Ep. 19: How to Create a Dashboard Wireframe
with Nicholas Kelly, Author & Creator of the Dashboard Wireframe Kit - Ep. 18: Direct Mail: A Dinosaur No More
with Dave Sink, Founder & CEO at Posti - Ep. 17: Data Governance Value Framework
with Sarang Bapat, Director of Data Governance at Mitsubishi Electric Trane - Ep. 16: AI in Healthcare
with Eugenio Zuccarelli, Manager of Data Science at CVS Health - Ep. 15: Intro to Data Security
with Monica Kay Royal, Founder & Chief Data Enthusiast at nerdnourishmen - Ep. 14: Building A Best In Class Data Stewardship Program
with Rohin Bansal, Director of Data Governance at Telus - Ep. 13: How to Optimize Data Cloud Cost
with Vinoo Ganesh, Founder of Stealth - Ep. 12: Intro to DataOps
with Jennifer Glenski, Director of Product Management at BMC Software - Ep. 11: How to Present in the Right Way: For Data Professionals
with Christopher Chin, Public Speaking Coach - Ep. 10: Intro to Data Democratization
with Niraj Dugar, Chief Data Officer at Shell-India - Ep. 9: How to Enable Data as a Product through the Data Mesh
with Dr. Alexander Borek, Author and Director of Data Analytics at Zalando - Ep. 8: Data Management Explained with Analogies
with Anjali Chinchanikar, Data Leader in Data Management - Ep. 7: Mining the Past
with Ryan Hum, VP of Data & Chief Information Officer at Canada Energy Regulator - Ep. 6: How to Balance Conversations
with David Rose, entrepreneur, author & lecturer at MIT - Ep. 5: Data Strategy Pitfalls
with Dora Boussias, Director of Enterprise Architecture & Data Strategy - Ep. 4: AI for Business Intelligence
with Tobias Zwingmann is a Sr. Data Scientist & Author - Ep. 3: How to Monetize Data Through the SMARTER method
with Lori Silverman, CEO and Founder of Partners for Progress® - Ep.2: How to Break into Data Science in 2023
with Andrew Jones, Founder & Lead Instructor at Data Science Infinity - Ep. 1: Continuous Learning for the Data Professional
with Monica Kay Royal, Founder & Chief Data Enthusiast at nerdnourishmen
About the Lights on Data Show
Join us on the Lights On Data Show where we cover all kinds of data topics. Data governance, data management, data science, data quality, data strategy, data architecture, data analytics, machine learning, artificial intelligence, data security and privacy, master data management, just to name a few of the topics.
This is a LIVE show that is informative, but fun; where the audience is engaged and empowered to learn; where knowledge is shared and networks are expanded.
Each show features at least one guest that is an expert in their field so you can expect a lot of value and practical takeaways from any data topic that is or will be addressed.
To our future guests
The show is streamed LIVE on LinkedIn and YouTube so you can expect engagement and questions coming in from the audience.
The data topic and content will be something that the audience can learn from, but if you also have a service, a product, a brand that is worth sharing, we will be more than happy to create that exposure. We know it will be mutually beneficial for the audience and yourself and/or the company that you represent.
To our audience
Even though you can always watch the recorded versions of the show, we encourage you to join us LIVE. One of the benefits of doing so is that you can engage with the topic, the guest, and fellow attendees through your comments and questions.
We try to address as many questions from the audience as the time allows us. Remember, it's a show that is meant to provide you with valuable content so don't be shy and ask those questions.
More about the show
Location & Duration
An episode's duration is between 30-60 minutes.
Streamed to LinkedIn and YouTube Live and other streaming services (also available as a video recording and podcast)
Awards
* Voted as #1 Most Helpful Data Video Channel of 2020 by the audience of DataLiteracy.com
** Voted Top 3 Data Podcasts by Data Community Content Creators Awards of 2021
*** Named "Best 25 Data Science Podcasts You Must Follow" in 2021, 2022, 2023
Audience
Streamed to 51k+ data professionals on LinkedIn and 260k+ on YouTube
438k+ podcast plays & downloads
Previous guests from:


The usual audience member:
Place of work
Works at Accenture, Deloitte, Cognizant, IBM, Amazon, Tata, Informatica
Job title
Works as a Data Analyst, Software Developer, IT Consultant, Business Analyst, Data Scientist
Location
Lives in Greater New York Area, London (UK), Toronto, Bangalore, San Francisco Bay Area
The Lights On Data Show community is truly supportive, generous, and welcoming.
Come and see for yourself!
What Previous Guests Are Saying
Show hosts:
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Watch previous episodes on YouTube: