Cognizant announces AI training data services for enterprise-scale GEN AI acceleration

Cognizant has announced the launch of its AI training data service. This is a new product designed to help businesses build, tweak and implement AI models at speed and scale.

To leverage our deep experience as a data and AI model training partner to select a digital native pioneer, Cognizant is currently bringing expertise and powering AI innovation to its Global 2000 clients.

The market needs of clean and relevant training data are important as companies compete to build AI-powered applications and operate generative and agent AI. The limited availability of large, accurately annotated datasets can create important bottlenecks for training machine learning models, especially large language models and computer vision systems. Multimodal data spanning text, images, audio, etc. is especially valuable as it allows the model to handle complex scenarios where context is required from multiple data forms.

Cognizant's AI Training Data Services is a strategic offering that enables businesses to work with internal corporate governance and monitoring to quickly build, tweak, validate and deploy AI models. Combines data engineering and AI training expertise with deep functional and industry domain knowledge to transform multimodal data into high quality inputs for machine learning and generation AI models. These services cover data annotation, model customization, enhancement, and data governance, and are designed to help organizations sell speeds, improve model accuracy and performance, and reduce costs.

For years, Cognizant has helped digital native leaders train some of the world's most advanced AI models. The company has worked with Trailblazers in Technology, Healthcare, Automotive, Media and Retail. Over 10,000 Cognizant experts have provided billions of data labels with large data annotations and quality checks of large data points and millions of data labels across all major modalities, including audio, 2-D/3D images, video and lighting detection (LIDAR). Cognizant's domain knowledge creates highly accurate specialized datasets for healthcare, automotive, media, digital marketing and more.

Cognizant's AI training data service offers several core features, including:

Comprehensive data annotations and curations, including:

• From content understanding to conversational AI, multimodal data labeling allows expert annotation and curation of multimodal data (e.g. text, images, audio, video) for the high accuracy of AI training.
• Customizing and extending data for AI models.
• Monitored fine-tuning data: Meticulously curated datasets for fine-tuning LLMS and foundation models.
• Reinforcement learning from human feedback (RLHF): High-quality human feedback from RLHF aims to help clients align AI model behaviour with human preferences and values under client surveillance.
• Red Teaming Data for Robustness: A curated dataset to support red Teaming exercises aimed at identifying potential vulnerabilities and points of failure.

Enterprise-grade AI assessment and governance.

• Agent Solutions and Context Engineering Data: A specialized data service for building, refinement, and assessing AI agent solutions under client-defined parameters.
• LLM Model Evaluation Data and Reports: Robust data for assessing LLM performance across a variety of metrics.
• Enterprise-grade AI deployment: Deploying AI models within clients' virtual private cloud environments. Designed to support enterprise-grade data security, privacy and control.