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The data mesh architecture promised to eliminate the inefficiencies and errors of the data lake. What went wrong?

I-Hub Foundation for Cobotics (IHFC), the Technology Innovation Hub (TIH) of IIT Delhi, in collaboration with Simplilearn, a ...

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The role of mapping and analytics for business expansion: one clinic scaled into a national brand with a location ...

Upskilling employees to use AI within organizations is far behind what it should be, according to McDonald’s Chief Data & Analytics Officer Michelle Gansle. Her keynote at MAICON earlier this month ...

In a data-driven world, pauses in government economic data do more than inconvenience economists, they create dangerous blind spots for investors and business leaders.

Thematic indexing is Among the fastest-growing segments in the ETF market. At Bloomberg’s ETFs in Depth event in London, ...

As leaders continue to accelerate analytics adoption through financial investments and process enhancements, they’re translating data maturity into direct performance gains—creating more resilient, ...

It’s clear why no manufacturing executive wants to bet everything on a pure data model. Centralized architectures are robust, ...

From Google Search Console to LLMs, regex helps structure and interpret text data efficiently. See how it connects SEO and AI ...

This article is sponsored by Profility. In this Voices interview, Skilled Nursing News speaks with Katelyn Caselli, Vice ...