Daily Reading List – August 2, 2024 (#369)

It was a productive Friday, and tomorrow I’m off to Beijing for a week. I’ll be speaking at Google I/O Connect China and getting immersed in the needs of local developers. Should be something. I’ll keep up the daily reading list, but on a very different posting schedule!

[article] How does Google describe software quality? This looks at a recent paper of ours and explores the four types of quality we measure and look to improve.

[blog] The Product Model and Org Design. It helps if the shape of your org complements your org’s priorities. But do you have to reorg to do things like adopting the product model? This post says “no.”

[blog] Detailed Guide of How To Set up MLflow on GCP in a Secure Way. MLflow is a popular MLOps platform and this post shows you how to run this open source software on Google Cloud Run.

[blog] Tech Leaders Target Scale And Enhanced Productivity With 2025 Budgets. Analyst firm Forrester is sharing new guidance for those starting 2025 budget planning. More cloud and AI, fewer single-function apps. Here’s another Forrester post targeting executives.

[blog] TPU transformation: A look back at 10 years of our AI-specialized chips. Our TPUs have been around a while, but they’re getting a moment in the sun right now. Major companies are using them, and Google has an advantage by being able to train and serve on GPUs or TPUs.

[blog] Introducing workflows beta: a new way to create complex AI applications with LlamaIndex. It’s not surprising that we’re seeing higher order tools coming for AI app builders. Not everything requires direct API calls or code-driven orchestration.

[blog] “Death of a Salesforce”: Why AI Will Transform the Next Generation of Sales Tech. Hot take from a16z! They see big changes coming to sales workflows and core systems of record.

[blog] Our Next Phase of Growth. The talented crew at Character.AI are partnering with Google Cloud more closely, and a handful of their great folks are joining Google DeepMind.

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