Remove Data Engineering Remove Open Source Remove Weak Development Team
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The future of data: A 5-pillar approach to modern data management

CIO

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. Operational errors because of manual management of data platforms can be extremely costly in the long run.

Data 167
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Heartex raises $25M for its AI-focused, open source data labeling platform

TechCrunch

Heartex, a startup that bills itself as an “open source” platform for data labeling, today announced that it landed $25 million in a Series A funding round led by Redpoint Ventures. ” Software developers Malyuk, Maxim Tkachenko, and Nikolay Lyubimov co-founded Heartex in 2019. Heartex’s dashboard.

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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. These days Data Science is not anymore a new domain by any means. Data Science profiles are more abundant in the market than ever before. First let’s throw in a statistic. Why is that?

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Maintaining conventions in dbt projects with dbt-bouncer

Xebia

Challenges of growing Imagine the following scenario, you have a dbt project and you are successfully delivering valuable data to your business stakeholders. These contributors can be from your team, a different analytics team, or a different engineering team. Sometimes this is in the README.md

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Why generic marketing approaches don’t work on software developers

TechCrunch

“Most of the technical content published misses the mark with developers. I think we can all do a better job,” author and developer marketing expert Adam DuVander says. DuVander was recommended to us by Karl Hughes, the CEO of Draft.dev, which specializes in content production for developer-focused companies.

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Thinking of building your own AI agents? Don’t do it, advisors say

CIO

Goldcast, a software developer focused on video marketing, has experimented with a dozen open-source AI models to assist with various tasks, says Lauren Creedon, head of product at the company. The company isn’t building its own discrete AI models but is instead harnessing the power of these open-source AIs.

CTO Coach 207
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Databand raises $14.5M led by Accel for its data pipeline observability tools

TechCrunch

DevOps continues to get a lot of attention as a wave of companies develop more sophisticated tools to help developers manage increasingly complex architectures and workloads. “Users didn’t know how to organize their tools and systems to produce reliable data products.” ” Not a great scenario.

Tools 214