There are a significant number of organizations that have moved from simple experiments to foundational deployments. While not prevalent across all organizations, those that are innovating and leading have a recognition of the need for an AI foundation.

By analyzing vast amounts of unstructured data, large language models can reduce costs, increase efficiency, and improve sustainability

This IDC Perspective covers the business value of natural language processing (NLP) applications in enterprises and provides guidance to technology buyers on how to embrace NLP and maximize ROI. This...

How using deep learning to analyze vast amounts of data has transformed how analysts can obtain insights that would not otherwise be possible.

How AI is connecting healthcare leaders to establish a consensus on how to manage patients.

Watch the fireside chat to discover how OTP Bank is using AI to establish a market-leading position, offer new products and services, and enter new...

Natural Language Processing (NLP) and large language models have transformed how organizations are able to interact with and deliver services to customers.

Earlier this month, we shared the exciting announcement that SambaNova had achieved new world records for training time, throughput and accuracy for GPT, an impressive achievement  During that announcement we also shared that, as the world record performance leader, ultimately, these performance metrics don’t matter. Customers don’t care about lab experiments, they care about improving their business and accelerating time to value.

High-resolution computer vision and deep learning have transformed quality and efficiency for manufacturers, increasing productivity and product quality, while reducing downtime and costs.