Bob Muglia, former CEO of Snowflake and an influential figure at Microsoft, shares his insights on the transformative power of AI. He discusses Marc Andreessen's compelling argument that AI could save the world and offers lessons from his book on the creators shaping the future. The conversation delves into how Azure emerged amidst cultural challenges at Microsoft and examines the delicate balance between technological advancement and ethical considerations, including AI's impact on jobs and geopolitical tensions.

Bob Muglia likely needs no introduction. The former CEO of Snowflake led the company during its early, transformational years after a long career at Microsoft and Juniper.  Bob recently released the book The Datapreneurs about the arc of innovation in the data industry, starting with the first relational databases all the way to the present craze of LLMs and beyond. In this conversation with Tristan and Julia, Bob shares insights into the future of data engineering and its potential business impact while offering a glimpse into his professional journey.  For full show notes and to read 6+ years of back issues of the podcast's companion newsletter, head to https://roundup.getdbt.com.  The Analytics Engineering Podcast is sponsored by dbt Labs.

Clay Finck chats with Bob Muglia, a distinguished technology executive who worked at Microsoft and led Snowflake to impressive revenue growth. They dive into the burgeoning AI landscape, discussing Bob's insights from his time with Bill Gates and Steve Ballmer. Bob highlights how data is becoming a company’s most valuable asset and reveals the competitive edge Snowflake has in the data warehousing space. He predicts the future impacts of AI across industries and emphasizes the importance of ethics in technological advancement.

Summary Data has been one of the most substantial drivers of business and economic value for the past few decades. Bob Muglia has had a front-row seat to many of the major shifts driven by technology over his career. In his recent book "Datapreneurs" he reflects on the people and businesses that he has known and worked with and how they relied on data to deliver valuable services and drive meaningful change. Announcements Hello and welcome to the Data Engineering Podcast, the show about modern data management Introducing RudderStack Profiles. RudderStack Profiles takes the SaaS guesswork and SQL grunt work out of building complete customer profiles so you can quickly ship actionable, enriched data to every downstream team. You specify the customer traits, then Profiles runs the joins and computations for you to create complete customer profiles. Get all of the details and try the new product today at dataengineeringpodcast.com/rudderstack Your host is Tobias Macey and today I'm interviewing Bob Muglia about his recent book about the idea of "Datapreneurs" and the role of data in the modern economy Interview Introduction How did you get involved in the area of data management? Can you describe what your concept of a "Datapreneur" is? How is this distinct from the common idea of an entreprenur? What do you see as the key inflection points in data technologies and their impacts on business capabilities over the past ~30 years? In your role as the CEO of Snowflake you had a first-row seat for the rise of the "modern data stack". What do you see as the main positive and negative impacts of that paradigm? What are the key issues that are yet to be solved in that ecosmnjjystem? For technologists who are thinking about launching new ventures, what are the key pieces of advice that you would like to share? What do you see as the short/medium/long-term impact of AI on the technical, business, and societal arenas? What are the most interesting, innovative, or unexpected ways that you have seen business leaders use data to drive their vision? What are the most interesting, unexpected, or challenging lessons that you have learned while working on the Datapreneurs book? What are your key predictions for the future impact of data on the technical/economic/business landscapes? Contact Info LinkedIn Parting Question From your perspective, what is the biggest gap in the tooling or technology for data management today? Closing Announcements Thank you for listening! Don't forget to check out our other shows. Podcast.__init__ covers the Python language, its community, and the innovative ways it is being used. The Machine Learning Podcast helps you go from idea to production with machine learning. Visit the site to subscribe to the show, sign up for the mailing list, and read the show notes. If you've learned something or tried out a project from the show then tell us about it! Email hosts@dataengineeringpodcast.com) with your story. To help other people find the show please leave a review on Apple Podcasts and tell your friends and co-workers Links Datapreneurs Book SQL Server Snowflake Z80 Processor Navigational Database System R Redshift Microsoft Fabric Databricks Looker Fivetran Podcast Episode Databricks Unity Catalog RelationalAI 6th Normal Form Pinecone Vector DB Podcast Episode Perplexity AI The intro and outro music is from The Hug by The Freak Fandango Orchestra / CC BY-SASponsored By:Rudderstack:  Introducing RudderStack Profiles. RudderStack Profiles takes the SaaS guesswork and SQL grunt work out of building complete customer profiles so you can quickly ship actionable, enriched data to every downstream team. You specify the customer traits, then Profiles runs the joins and computations for you to create complete customer profiles. Get all of the details and try the new product today at [dataengineeringpodcast.com/rudderstack](https://www.dataengineeringpodcast.com/rudderstack)Support Data Engineering Podcast

Bob Muglia, former CEO of Snowflake and Microsoft veteran, talks about moving beyond SQL, the power of knowledge graphs, the evolution of databases, and the future of AI. He explores the challenges of pre-SQL databases, Snowflake's approach to data management, Microsoft's mistakes with tablets, the need for surpassing SQL query languages, the rise of digital modeling, and the importance of imbuing AI with human values.

Former Snowflake CEO and Microsoft President, Bob Muglia, discusses exciting trends in AI, the role of data quality, ethics in AI development, and the future impact of relational knowledge graphs and robotics.

Join Bob Muglia, former CEO of Snowflake and distinguished data technology investor, as he delves into the transformative power of AI. He discusses the rise of artificial general intelligence and its implications for software and workplace dynamics. Bob emphasizes the importance of ethical data practices while exploring the challenges organizations face in adopting AI. Discover the role of 'datapreneurs' in fostering innovation and the balancing act of maximizing data usage while ensuring privacy compliance. A fascinating conversation about the future of AI awaits!

Bob Muglia, former CEO of Snowflake, joins a panel of data experts to debate the future of data infrastructure. They discuss the evolution of data lakes versus warehousing and how operational AI is reshaping data management. The conversation dives into emerging concepts like data mesh, the integration of machine learning, and the balance between latency and throughput. With varying perspectives, they explore the crucial question of how technology adapts within complex enterprise environments.

Former CEO of Snowflake, Bob Muglia, shares his experiences at Microsoft, including being fired by Steve Ballmer twice. He discusses his playbook for taking Snowflake from 0 revenue to $100M. Topics include values vs. performance, scaling a company, and the impact of AI and human values.

In this insightful discussion, George Fraser, founder of Fivetran, moderates a captivating debate featuring Bob Muglia, former CEO of Snowflake. They dive into the evolving roles of data lakes and warehouses, exploring how their functionalities are converging. The conversation touches on the integration of machine learning with analytics, the importance of low latency, and the future direction of the modern data stack. With perspectives on decentralization and the significance of collaborative tools, they tackle the complexities of technology in enterprise environments.