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Microservices Adoption in 2020

O'Reilly Media - Ideas

Microservices seem to be everywhere. Scratch that: talk about microservices seems to be everywhere. So we wanted to determine to what extent, and how, O’Reilly subscribers are empirically using microservices. Here’s a summary of our key findings: Most adopters are successful with microservices. It’s the culture.

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Unlocking the Power of AI with a Real-Time Data Strategy

CIO

Titanium Intelligent Solutions, a global SaaS IoT organization, even saved one customer over 15% in energy costs across 50 distribution centers , thanks in large part to AI. With organizations looking for increasingly sophisticated ways to employ AI capabilities, data becomes the foundational energy source for such technology.

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2 days in the life of a DDD Foundations trainee

Xebia

That is why I decided to join the DDD Foundations training at Xebia. . So, I was quite excited to join this 2-Day training from Kenny Baas-Schwegler. On a very early Wednesday morning, I’m heading to Xebia HQ in Hilversum, where the training course will take place. Breaking the silos! We’re with 8 people. This will be fun!’,

Training 130
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2 days in the life of a Domain-Driven Design trainee

Xebia

Why did I have a Domain-Driven Design (DDD) Foundations training? And that’s how I ended up at the DDD training. So, I was quite excited to join a 2-day training from Kenny Baas-Schwegler. On a very early Wednesday morning, I was heading to Xebia HQ in Hilversum, where the training course would take place.

Training 130
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2 days in the life of a Domain-Driven Design trainee

Xebia

Why did I have a Domain-Driven Design (DDD) Foundations training? And that’s how I ended up at the DDD training. So, I was quite excited to join a 2-day training from Kenny Baas-Schwegler. On a very early Wednesday morning, I was heading to Xebia HQ in Hilversum, where the training course would take place.

Training 130
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Radar Trends to Watch: January 2024

O'Reilly Media - Ideas

parameter model that has been trained extensively on “ textbook-quality data.” Further work on extracting training data from ChatGPT , this time against the production model, shows that these systems may be opaque, but they aren’t quite “black boxes.” Microsoft has released a small language model named Phi-2. Phi-2 is a 2.7B

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Open-Sourcing Metaflow, a Human-Centric Framework for Data Science

Netflix Tech

Data scientists at Netflix relish our culture that empowers them to work autonomously and use their judgment to solve problems independently. We would focus our energy solely on improving data scientist productivity by being fanatically human-centric. Get started at metaflow.org. The steps can be arbitrary Python code.