Nexla has acquired large customers across various industries, helping companies make data-driven decisions that accelerate ...

Large language models (LLMs ... across analytics and AI projects. • Identify smaller wins to showcase the benefits of LLMs and Gen AI for data engineering. These could be in data labelling ...

I've identified collaboration as one of the critical gaps that organizations must bridge to transform their data science ...

According to Gartner analyst Nick Heudecker, over 85% of data science projects fail ... poor transparency and difficulties with model deployment and operationalization. Siloed Data: Data is spread ...

Key Takeaways Gowtham S.B uploads six videos weekly covering advanced topics that most data engineering courses skip entirely ...

Informatica launched an AI Agent Engineering service to connect AI agents throughout an IT network and avoid AI Agent fragmentation.

Data Point No. 1: Lack of Resources to Execute Data Science Projects Data science is an interdisciplinary approach that involves mathematicians, statisticians, data engineering, software engineers ...

The College of Engineering announced more than $10.5 million in grant funding was awarded this semester to 11 projects involving faculty in the ... "BIGDATA: Smart Data – Academic Success made ...