This episode features an interview with Tom Edwards, Chief Digital and Data Officer at Omnicom Health Group, the largest healthcare marketing and communications network in the world. Prior to Omnicom, Tom served as Chief Digital and Innovation Officer at Epsilon. Tom has been named one of the Top 50 Most Influential Business Leaders in Technology and a Top 10 Global Marketer Award winner by OnCon this year. On this episode, Tom talks about transparency in decision making, how to organize massive amounts of data in order to derive insights, and how to determine the ideal communication strategy for a target audience.

How well are companies doing in providing their employees with the tools and training needed to deliver value from AI? In this episode of “Data Cloud Now,” Shaun McGirr of Dataiku addresses that question and shares the results of a recent survey his company conducted that suggests there’s much more work to be done to deliver on the aspirational goal of making AI usable and accessible across organizations. He also discusses the excitement that Snowpark is generating among those at the leading edge of AI.

Zachary Paz from Gray Associates discusses how Qlik AutoML lets analytics teams build and leverage machine learning models.

How do two companies manage a relationship that is both competitive and supportive? Snowflake and Microsoft fall into that category. Take a peek behind the curtain of this unique partnership as “Data Cloud Now” host Ryan Green sits down with John Sapone of Snowflake and Tyler Bryson of Microsoft for an enlightening discussion.

People are loving Streamlit’s integration with Snowflake, and the product just keeps getting better and better. Hear what’s new in this “Data Cloud Now” interview with Snowflake’s Adrien Treuille, the creator of Streamlit.

In this interview with Ryan Green on “Data Cloud Now,” Adam Wilson and Nitin Brahmankar of Alteryx outline their company’s mission to move data from the realm of the highly technical and into the hands of the people in in organizations who actually use the data to unlock insights, manage risk, cultivate markets, and more. It’s a mission, they says, that is helped along by the ecosystem of Snowflake users who work as a community to solve customer use cases. #datacloudnow #datacloudworldtour

Susie Wolff, former Formula 1 driver and founder of Dare to be Different, knows a lot about using data to thrive under pressure. In racing, data is the difference between being a champion and falling behind. How can your business become data driven the way Formula 1 has? How can you get the insights you need to thrive — not tomorrow, not next week, but right now? Industry analyst and digital transformation expert Maribel Lopez interviews Wolff, extracting takeaways that every business can apply.

In this episode of “Data Cloud Now,” host Ryan Green interviews Snowflake’s Torsten Grabs about some of the big news coming out of Snowday, with a particular focus on Snowpark for Python, which is now generally available for building Python pipelines and ML models directly in Snowflake.

Lightfold, a young analytics consultancy based in Brisbane, Australia, came into being in 2019, just before COVID hit, with the goal of helping companies gain mastery over their data by helping them build modern data stacks centered around Snowflake. In this episode of “Data Cloud Now,” Ryan Green, chats with three members of the Lightfold leadership team–CEO John Cosgrove, Data Evangelist Graeme Lewis, and Director, Design and Product, Kylie Willett–about their company’s origin story and about the way in which Snowflake’s technology has fundamentally changed the way organizations think about data.

In today’s economy, every business is eager to accelerate beyond and above the competition. Critical to this effort is the data your business runs successfully on, its backbone, and a good team behind the magic. Join eBay, the world's leading online marketplace, to hear how they accelerated their operational data with impressive results. Not only did the company experience no downtime, but they reduced data volumes by a whopping 50% — resulting in less friction, smoother operations, and a team built to enable success and scale.