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Mastering Growth in the AI Era: How to Stand Out, Acquire Customers, and Raise VC Dollars with B Capital, Zetta, and Glasswing

SaaStr

Software engineering teams have been early adopters of AI coding assistants precisely because they provide an immediate, measurable lift. The Governance Opportunity Many organizations are testing AI infrastructure that lacks governance controls. This is exactly backward.

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The Convergence of Data & Software Engineering in the Age of AI

Tom Tunguz

Data contracts express the commitments data teams make to others in the company about data freshness, format, & consistency - again drawing parallels to the service-level agreements in core engineering. Security systems govern access to databases akin to secrets management & identity access management solutions do in the cloud.

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Data Product Teams : Best Practices for a Modern Data Team

Tom Tunguz

Data teams are becoming software engineering teams. DPRDs, or Data Product Requirements Documents, contain the key information about a data product: what it will provide, how it will produce value, how the data will be governed including data quality alerting. The video is here. Unlike code, data is stochastic or unpredictable.

Data 267
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Trends in the Post-Modern Data Stack

Tom Tunguz

In the past, software engineering teams and data teams haven’t collaborated, but data pipelines & AI endpoints rapidly becoming essential parts of software, they now work together much more closely. AI is changing the structure of data teams. New BI systems will enable both. Vectors power AI systems.

Trends 249
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Tom Tunguz - Untitled Article

Tom Tunguz

No longer are they just post-analysis teams; they are now becoming software engineering teams that use data to build products. Title: The Evolution of Data Teams and Data Security Over the past few years, we’ve seen a significant change in the way data teams operate. This shift has brought with it a new reality for data security.

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Top 10 Trends for Data in 2024

Tom Tunguz

Most sophisticated data teams run like software engineering teams with product requirement documents, ticketing systems, & sprints. Data Products : The combination of large language models and data teams becoming software teams has led to data products. Software startups are rising to meet the need.

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Top Themes in Data Transcript

Tom Tunguz

He says the IT department of the future will be like the HR department for AI agents We’ll be managing and ’training’ these agents to work with our data Transition: This change starts first within the engineering org Slide 9 Clearing: Historically, there’s been a divide between software engineering and AI/ML teams.

Data 100