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AI market evolution: Data and infrastructure transformation through AI

CIO

However, many face challenges finding the right IT environment and AI applications for their business due to a lack of established frameworks. Additionally, 90% of respondents intend to purchase or leverage existing AI models, including open-source options, when building AI applications, while only 10% plan to develop their own.

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How today’s enterprise architect juggles strategy, tech and innovation

CIO

Observer-optimiser: Continuous monitoring, review and refinement is essential. enterprise architects ensure systems are performing at their best, with mechanisms (e.g. They ensure that all systems and components, wherever they are and who owns them, work together harmoniously.

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Five big open source gifts from us

David Heinemeier Hansson

Perhaps our most productive one yet, in terms of total number of product improvements, new product developments, and open source extractions. Before I get into the actual open source gifts we were able to share this year, though, I think it’s important to remark on the fact that 37signals is not an open-source software company.

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AWS Open Source Observability: Visualization and Security Auditing with CloudMapper (Part 1)

Xebia

We define Observability as the set of practices for aggregating, correlating, and analyzing data from a system in order to improve monitoring, troubleshooting, and general security. When it comes to Cloud Observability, several Open Source and proprietary tools have been available over the years. SLAs and warranty.

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The Silent Architect: How Data Governance Will Decide the Winners and Losers in the AI World

Perficient

Budgets, approved. The system promised to detect insider trading, front-running, wash trades patterns too subtle for human eyes to catch.At Trade timestamps were off by milliseconds across systems. The organization had to suspend the AI engine and return to manual reviews in parallel, a massive operational setback.

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Data observability startup Metaplane lands investment from YC, others

TechCrunch

“After several of the tools we built couldn’t be adopted by prospects due to data quality issues, we realized we could apply many of the learnings from software observability to help data teams find out about these issues early,” Hu told TechCrunch in an email interview.

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For founders who want to launch apps, ‘being non-technical is not a limitation’

TechCrunch

Our clients are often very focused on the hardware side, which requires us to be more diligent when working on the software/firmware side of the project to ensure everything will work together smoothly. How do you assess their requirements, and what information do you need before you can share an estimated project timeline and budget?