Enterprises have spent the last 15 years moving information technology workloads from their data centers to the cloud. Could generative artificial intelligence be the catalyst that brings some of them ...

Roy Kamp and Noémie Weinbaum write the CJEU's SRB judgment highlights that identifiability is not a theoretical property, but a practical one, meaning compliance is now something that happens in ...

Choosing an AI model is no longer about “best model wins.” Instead, the right choice is the one that meets accuracy targets, fits latency and cost budgets, respects compliance boundaries and ...

OpenAI researchers have introduced a novel method that acts as a "truth serum" for large language models (LLMs), compelling them to self-report their own misbehavior, hallucinations and policy ...

eSpeaks’ Corey Noles talks with Rob Israch, President of Tipalti, about what it means to lead with Global-First Finance and how companies can build scalable, compliant operations in an increasingly ...

Training AI models used to mean billion-dollar data centers and massive infrastructure. Smaller players had no real path to competing. That’s starting to shift. New open-source models and better ...

Utkarsh Amitabh says he definitely wasn't in the market for a new job in January 2025, when data labeling startup micro1 approached him about joining its network of human experts who help companies ...

eSpeaks’ Corey Noles talks with Rob Israch, President of Tipalti, about what it means to lead with Global-First Finance and how companies can build scalable, compliant operations in an increasingly ...

This white paper discusses the critical infrastructure needed for efficient AI model training, emphasizing the role of network capabilities in handling vast data flows and minimizing delays. It ...

(1) The sources or owners of the datasets. (2) A description of how the datasets further the intended purpose of the artificial intelligence system or service. (3) The number of data points included ...