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AI in healthcare and other industries won’t fly unless compliance is baked in from day one — not bolted on after.
Technology is not what powers a data-first culture, but people, operating models, and disciplined delivery. Most organizations already possess more tools and data than they can effectively utilize.
In the critical stage where AI technology is transitioning from "experimental" to "enterprise-level implementation", the importance of data engineering as a foundational support is becoming ...
Today, Matrix Origin held a grand product launch conference in Shanghai themed "Generating Wisdom from Data, Harnessing ...
Ranjeet Kumar's career shows his expertise in building scalable data systems, integrating data operations, and leading ...
The global data mesh market is expected to grow at a compound annual growth rate (CAGR) of 16.4% over the course of the forecast period, from an estimated USD 1.2 billion in 2023 ...
project-root/ │ ├── package1/ │ ├── package1/ │ │ └── init.py │ ├── setup.py │ └── pyproject.toml (optional ...
The global distributor decided to take ownership of its security data, liberating engineers and cutting costs.
OLYMPIA —The state Department of Commerce is looking for firms to help develop guidelines for transit-oriented development (TOD) near station areas. The department is seeking proposals from qualified ...
Abstract: Pipeline and void recognition are two key tasks in the underground monitoring of urban roads. Ground penetrating radar (GPR), as an effective geophysical method, plays an important role in ...
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