Baris Gultekin, an expert in enterprise AI and its applications at Snowflake, shares his journey from Google to his current role. He dives into the transformative impact of large language models on data management, particularly through Snowflake’s innovative Cortex product. Gultekin discusses cutting-edge model architectures that reduce training costs, the significance of data security in AI, and the power of vector databases for efficient data retrieval. He also explores Snowflake's capabilities in fostering collaboration through improved data sharing and governance.

Data analyst and co-founder of Mode Analytics, Benn Stancil, discusses the future of business intelligence, data quality in the world of large language models, building resilient data pipelines, and the evolving role of BI analysts in decision-making processes.

Discussion on the death of Big Data, hybrid architectures, using large language models for onboarding, DuckDB for ETL, and the role of humor in building a startup brand

0:00 Office Hours - Evan Cheng01:28 From Meta to Mysten04:54 Why Develop a New Language, Move11:15 Developer Response to Move13:21 Zero Knowledge (ZK) Proof of Login19:00 Kiosk24:34 On Chain Storage Limitations29:01 DAGs & Web330:01 Mysten Labs Ecosystem & SUI34:03 SUI Token Launch38:30 Closing 

Tom Tunguz and Colin Zima discuss the pendulum between governance and self-serve in analytics, the dynamic of centralization and decentralization hybrid execution, improving user experiences, mitigating buyer fatigue, AI in BI, semantic layer importance, embedded analytics, and the future of BI users.

00:06 Introduction 02:10 Arbitrum Statistics 02:47 Building Your Developer Community 09:08 Arbitrum One v. Arbitrum Nova 14:55 L3 & Customization 19:41 Arbitrum Orbit & Chain Clusters 24:39 Future Customizations for Developers 28:30 Accepting Developer Languages: To reduce barriers to entry 30:11 Accepting Developer Languages: To access legacy code 32:38 Accepting Developer Languages: To reduce fees 33:48 Convergence of Web2 and Web337:55 Community-Source-Software42:03 Summary

0:00 Office Hours with Philip Zelitchenko 01:47 Q: How did you decide to structure your team like software engg? 05:07 Q: Determining the value of data 09:17 Structuring data teams: data PMs 10:47 Q: Same data team responsible for internal v. external PRDs? 11:14 Structuring data teams: data engineering 12:02 Q: What is a data product? 12:47 Structuring data teams: data analysts 13:22 Structuring data teams: data governance 13:37 Structuring data teams: data platform 14:18 Q: What distinguishes a DPRD from a PRD?17:33 Q: Role of the DPRD? 20:05 Q: DPRD v. TEP? 20:55 Demystifying data governance 23:22 Data alert management - internal team and customers 26:20 Q: Motivating ownership of data assets? 28:51 Defining value of a data asset 30:29 Measuring data usage 31:37 Q: Can tools today handle the stochastic nature of data? 33:28 Building a data team within the enterprise 35:42 Q: How to test data products prior to release? 40:00 Q: How do you use observability to manage diversity of alerts? 41:51 Summary

00:11 Introduction 02:54 What is Outbound Fury (OBF)? 03:34 Inspiration for OBF 05:03 OBF Tactics 07:44 Determining the Line 11:22 The Challenger Sale 14:11 Personas & OBF 16:05 Product-Led Growth (PLG), ABM & Outbound Fury 19:35 Setting Up Your Team for Success 21:54 Managing Internal Stakeholders 25:28 Measuring Success 27:16 Brand & OBF Campaigns 29:25 Pricing in Marketing Considerations 31:47 Analyst Community (e.g. Gartner) & OBF33:43 Company Scale & OBF 36:23 Conclusions  Materials Mentioned in Today's Session: -- Raj Sarkar's Post: https://rajsarkar.substack.com/p/mark... -- Marc Benioff, Behind the Cloud https://www.amazon.com/Behind-Cloud-S... -- Matthew Dixon, The Challenger Sale https://www.amazon.com/The-Challenger...  

00:00 Introduction to Tom and Oliver03:07 Overview of PLG at Dropbox05:30 Overview of PLG at Asana06:07 How to succeed in PLG end user acquisition phase09:15 Tactics for Generating Awareness10:17 Customer Expansion Phase13:15  When Tension Arises Between PLG & Enterprise Security Needs15:24 Security is an All Consuming Roadmap, not a Feature18:35 How the Organization Shifts during the Transition from PLG to SLG20:48 How Pricing Changes from PLG to SLG26:22 The PLG Trap28:03 Avoiding the PLG Trap31:55 Value-Based Selling: Generalizable or Vertical/Use-Case Specific?35:35 Atlassian v. Asana's Approaches37:11 Advice for New Startups Pursuing PLG38:22 Navigating from SLG to PLG42:19 Resources for Founders43:06 PLG, SLG & AI

On November 29th at 9am Pacific Time, Office Hours hosted Fredrik Haga, founder & CEO of Dune. Dune is the authoritative source of web3 data. For information on Decentralized Exchange activity, lending volumes, or even the current FTX account balances. I used Dune to make the State of Web3 Presentation. During this Office Hours, Fredrik & I will talked about - the importance of data in a decentralized world - the impact of the three major collapses this year: FTX, Luna, & ThreeArrows on the ecosystem - the evolution of web3 in 2022 - building a startup through tough market conditions Thanks to Fredrik for the great session.