ChatGPT is all the rage, but companies like Apple, Samsung, Goldman Sachs, and other large enterprises are banning its use, realizing it’s not secure to use with their own internal data. So how can your organization benefit from generative AI while keeping your data and company IP private – and at the same time, drive performance and decrease running costs?

Join SanjMo Principal and Founder Sanjeev Mohan and Unravel VP of Solutions Engineering Chris Santiago as we share five tips to help organizations start their FinOps Journey. Explore the foundations of Financial Operations (FinOps) practices, processes, and technologies, then see five tips to help you put these into practice so you can assess and improve the cost efficiency of your modern data stack.

In part 2 of our 4 part series, SVP of Product Marketing Sean Zinsmeister shares how to build embedded data apps for BigQuery 💥 Follow along at www.developers.thoughtspot.com

More On this series:
Part 1 - https://youtu.be/kWsbZPQByPA

Nearly every enterprise is assessing the potential for Generative AI to better serve their users and customers. Join this CEO fireside chat with Jensen Huang from NVIDIA and Snowflake’s Frank Slootman as they discuss trends in Generative AI and accelerated computing, the pace of disruption, and the impact on every industry and business model. Sarah Guo, former Greylock general partner and current founder and CEO of Conviction, moderates.

In the fast-changing world of generative AI and large language models (LLMs), it can be especially challenging to sift through the buzz and prioritize which use cases will have the biggest impact on your business. Join Christian Kleinerman, SVP Product at Snowflake, for a moderated discussion with some of the leaders in this space as they share their perspectives, predictions, and thoughts on what enterprises should consider when adopting this technology.

As the world's largest biotech company, Roche has goals of doubling patient access to novel diagnostics solutions and achieving medical advances at half the cost to society. Compliantly and securely delivering data products and democratizing data consumption in a decentralized environment are critical to reaching these goals. To support this ambition, Roche's Data & Analytics Team had to solve data access management, security, and governance at scale. Paul Rankin, Head of Data Mesh Platform at Roche, describes how they used Snowflake's security architecture and data marketplace to power Roche's self-service data and analytics platform stack.

Assisted Insights automatically delivers immediate answers, eliminating the need for users to sift through all their data for specific insights. Users only need to ask the question they want answered, and Yellowfin will locate the data, analyze it to find the most statistically relevant results, and present them in clear, best-practice visualizations and narratives.