IIIT Hyderabad's iHub-Data has launched a six-month training program in AI/ML for early-career women engineers. The program, beginning in March 2026, combines theoretical grounding with hands-on ...
This is where AI-augmented data quality engineering emerges. It shifts data quality from deterministic, Boolean checks to ...
Emerging from stealth, the company is debuting NEXUS, a Large Tabular Model (LTM) designed to treat business data not as a simple sequence of words, but as a complex web of non-linear relationships.
Microsoft (MSFT) announced today it has acquired Osmos, an agentic artificial intelligence data engineering platform designed to simplify complex data workflows. No financial details on the ...
Some tech leaders are concerned that the artificial intelligence race will exhaust available land and energy. The solution might lie in orbit. Credit...Soña Lee Supported by By Eli Tan and Ryan Mac ...
Materials informatics sits at the intersection of experimental science, computation, and data analytics. The aim is simple: use data and models to make discovering, designing, and deploying new ...
Design and implement an end-to-end ETL (Extract, Transform, Load) pipeline using SQL for data extraction and transformation, and Python for orchestration and automation. Use any open dataset (e.g., ...
Millions of users work with SQL to keep the gears of their business turning. In an era marked by relentless digital transformation, the proliferation of AI workloads, and tightening regulatory demands ...
Credit: Image generated by VentureBeat with FLUX-pro-1.1-ultra A quiet revolution is reshaping enterprise data engineering. Python developers are building production data pipelines in minutes using ...
As AI becomes central to the enterprise, data engineers are stepping out from behind the scenes to help shape AI strategy and influence business decisions. In partnership withSnowflake As ...
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