How gen AI is transforming the role of human data annotation
5 key challenges of human data annotation in the gen AI era The potential of the global data collection and labeling market is immense, with a projected revenue of US$17 billion by 2030, growing at nearly 30% annually. Domain-specific models are driving rapid growth in specialized industry sectors, such as healthcare. Here’s why human data […]
Scaling generative AI: How companies are harnessing its power
Scaling generative AI: Benefits, risks, and limitations Before generative AI, traditional AI technology focused on solving well-defined problems. These traditional AI models were designed for specific tasks, such as text classification, entity extraction, and predictive modeling, limiting business applications to narrow domains. A glimpse back at McKinsey’s State of AI in 2022 reveals popular enterprise AI use […]
Gen AI Outlook: Key trends shaping its development in 2025
7 Key trends shaping gen AI in 2025 Domain-specific models Gartner predicts that by 2027, more than 50% of the gen AI models used by enterprises will be tailored to specific industries or business functions, massively more than just 1% seen in 2023. While foundation models are trained with colossal amounts of general knowledge data […]
Data annotation for Gen AI: Sigma’s upskilling strategy
Data annotation for Gen AI demands new skills. Learn how Sigma upskills its team for creativity, critical thinking, and more.
Human data annotation: behind the scenes of quality Gen AI
Human data annotation is vital to training Gen AI. Learn how Sigma.AI achieves excellence through project management and expert teams.
Gen AI: challenges and opportunities
A conversation on Gen AI challenges and opportunities with insights from Sigma’s Executive Senior Advisor, Dr. Jean-Claude Junqua.