At LinkedIn, Ankur Gupta helped cut median AI model deployment time from two days to 2.5 hours while raising deployment success to approximately 96%.

We’ve gotten pretty good at building machine learning models. From legacy platforms like SAS to modern MPP databases and Hadoop clusters, if you want to train up regression or classification models, ...

AWS Lambda provides a simple, scalable, and cost-effective solution for deploying AI models that eliminates the need for expensive licensing and tools. In the rapidly evolving landscape of artificial ...

FactSet’s Text-to-Formula (TTF) system converts natural-language requests from investment professionals into FactSet Query Language (FQL) formulas. After an initial RAG approach hit a quality ceiling ...

Predictive AI routinely fails to deploy, so data scientists are spearheading a movement to focus on its business value. But stakeholders need a better understanding. Most predictive AI projects fail ...

AI is being rapidly adopted in edge computing. As a result, it is increasingly important to deploy machine learning models on Arm edge devices. Arm-based processors are common in embedded systems ...

Machine learning has become an important component of enterprise applications, supporting use cases such as fraud detection, ...

From privacy-preserving learning to production-scale infrastructure, Tianyi Zhang is working on AI systems that can use ...

The regulatory landscape has grown more complex with the intersection of model risk and information and communications ...

A strong foundation in mathematics plays a critical role in understanding artificial intelligence and adapting to ongoing technological change. Math underpins many machine learning basics, shaping how ...