Lean In Data Science
cloud203015 Dec 2023

Lean In Data Science

How do we apply the principles of lean to data science and data engineering? We discuss this broadly into using AI and machine learning more generally. This is a topic that we had discussed over the summer and wanted to come back to six months later because so much has changed and transformed in the industry. What does agile lean process control look like in an infrastructure automation platform? How can we make these very difficult and challenging components of data and data management, more agile, more lean? I think you will get a lot out of this conversation considering our current hypercharged AI ml and LM environment. Transcript: https://otter.ai/u/1ZuALgSXcPw-bIf2GOumDFZH0UU?utm_source=copy_url DALL-E Prompt: please create a picture of a very large truck stuck under a low bridge. please label the truck as ai and the bridge as lean

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Four factors for Edge infrastructure

Four factors for Edge infrastructure

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Abstractions are not Enough - 1x1 Chris Psaltis of Mist.io

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Building a Composable Edge

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How Much Complexity is Too Much?

How Much Complexity is Too Much?

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Fast, Cheap or Good? Pick Two

Fast, Cheap or Good? Pick Two

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Bring me my Edge Computing!

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Deep and thoughtful discussion about what it takes to build edge infrastructure. How will the Edge market be shaped? What the forces are driving the market? What are the architectural constraints? ...

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CI/CD for Deploy Automation?

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Cloud2030 DevOps crew spent time talking unit test a CI pipeline. And then we branched into "Can you unit test automation in general?" If you make a change to your pipelines, how do you know it's rig...

2 Apr 202151min

Trust is the foundation of Cloud

Trust is the foundation of Cloud

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2 Apr 202146min

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