Matt Asay is the Vice President of Developer Relations at MongoDB. With extensive experience in software development and open-source technologies, he focuses on themes such as AI, machine learning, and data management, while also exploring topics like software as a service and generative AI. Asay's insights and expertise have been featured in Channel Asia, InfoWorld, CIO Online, TechRepublic, and Oracle.
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Matt Asay's coverage focuses on the intersection of technology, open source, and software development. He seems to be particularly interested in AI, cloud computing, and the role of open-source software in these domains.
Given his high percentage of citations of data and expert commentary along with opinion editorials, he is likely to respond well to pitches that provide access to current research or experts who can offer unique insights into the latest trends and developments at the intersection of AI, cloud computing, and open-source technologies.
Since Matt does not have a specific geographic focus but operates out of the United States, sources from diverse locations may find relevance if they are able to contribute valuable insights into global tech trends or offer expert opinions on emerging technologies.
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Most companies don't have an AI quality problem. They have a measurement problem.
Most companies don’t have an AI quality problem. They have an AI measurement problem.
Cloud providers are chasing agentic AI while core infrastructure remains unfinished. As outages, complexity, and platform inconsistency become harder to ignore, is this what customers really want?
For most enterprise applications, vector support is a feature that should be woven into the existing data estate, not a reason to add a second source of truth.
Models are getting easier to swap. The operating, integration, and governance machinery that surrounds them is much harder to replace.
Can Informatica and Salesforce help enterprises close the gap between trusted data and AI-driven decisions? Informatica World 2026 should provide answers.
The backlash against large data center projects raises a new question. Could part of the next infrastructure wave use private homes rather than purpose-built facilities?
It will take some time and effort, but you can learn to trust your coding agent too. You’ll be glad that you did.
If you truly want to avoid drowning in 'AI slop,' you need experienced engineers who can supervise the observability, testing, and review of all that AI-generated code.
If you truly want to avoid drowning in “AI slop,’ you need experienced engineers who can supervise the observability, testing, and review of all that AI-generated code.
