Cognizant Launches AI Training Data Services to Power Scalable AI Development
Cognizant has officially launched its AI Training Data Services, a new offering aimed at helping businesses build, refine, and deploy AI models more efficiently and at scale. Drawing on years of experience working with digital-native leaders, Cognizant now brings this capability to Global 2000 clients, allowing them to accelerate innovation in AI across a wide range of industries.
The growing demand for reliable, high-quality training data is a challenge for many enterprises that are developing AI-driven solutions, especially in the domains of generative AI and agent-based systems. A major hurdle lies in the lack of clean, annotated, and scalable datasets essential for training sophisticated models such as large language models (LLMs) and computer vision applications. Multimodal data—comprising text, images, audio, and video—has become especially valuable as it provides rich context that enables models to perform well in complex, real-world environments.
Cognizant’s AI Training Data Services help address these needs by offering the ability to rapidly produce and manage AI-ready data that complies with organizational policies and regulatory standards. These services integrate Cognizant’s expertise in data engineering, AI model training, and deep industry knowledge, creating high-performance training datasets for various AI use cases. With a history of supporting top companies in sectors like healthcare, automotive, retail, media, and technology, Cognizant has built a solid foundation of trust and capability. Their team of over 10,000 experts has curated billions of data points across modalities like speech, images, video, and even LiDAR, often with enriched geographic metadata to ensure precision.
This latest offering aims to close the “data readiness gap” many enterprises face, enabling them to operationalize AI more effectively. By consolidating AI development efforts under one robust service suite, Cognizant provides a solution that is well-positioned to meet the evolving demands of modern AI strategies and enterprise-grade implementation.
