Remove Reference Remove Software Engineering Remove Weak Development Team
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Are you ready for MLOps? 🫵

Xebia

Gartner reported that on average only 54% of AI models move from pilot to production: Many AI models developed never even reach production. So then let me re-iterate: why, still, are teams having troubles launching Machine Learning models into production? Big part of the reason lies in collaboration between teams. What a waste!

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The future of data: A 5-pillar approach to modern data management

CIO

By modern, I refer to an engineering-driven methodology that fully capitalizes on automation and software engineering best practices. This approach is repeatable, minimizes dependence on manual controls, harnesses technology and AI for data management and integrates seamlessly into the digital product development process.

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Astro emerges from stealth to connect Latin American developers with US tech companies

TechCrunch

Astro , a startup helping companies to build and manage developer teams with talent from Latin America, today exited from stealth with $13 million in Series A funding contributed by Greycroft with participation by Obvious Ventures and other unnamed investors. million by 2030. based tech companies.

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Draft.dev CEO Karl Hughes on the importance of using experts in developer marketing

TechCrunch

Developers can be a tough crowd. Coming up with relevant content that developers find interesting takes specific know-how, and this is where Draft.dev comes in. One of the survey respondents noted that developers are underrated as a target audience: It may be niche, but it is a large one. What inspired you to create Draft.dev?

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Finding a New Software Developer Job

Henrik Warne

For the first time ever, I was laid off, and had to find a new software developer job. In my case, we were 17 people let go that day, including 8 developers. Next, I went through my list of companies I would like to work for, and looked to see if they had any open developer roles. Here is what I learnt from the process.

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Boost team productivity with Amazon Q Business Insights

AWS Machine Learning - AI

Refer to Monitoring Amazon Q Business and Q Apps for more details. Organizations looking to quantify financial benefits can develop their own ROI calculators tailored to their specific needs. These logs are then queryable using Amazon Athena.

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Maintaining conventions in dbt projects with dbt-bouncer

Xebia

These contributors can be from your team, a different analytics team, or a different engineering team. Maintaining conventions in a dbt project Most teams working in a dbt project will document their conventions. Is configurable via a YML file, a format all dbt developers are already familiar with.