Enterprise

The Lakehouse architecture has been successfully applied to sports intelligence, transforming raw tracking data into actionable insights that provide a competitive advantage for teams. By leveraging the Lakehouse's unified data storage and analytics capabilities, teams can now analyze vast amounts of data, including 20,000+ data points per second, to gain a deeper understanding of player and team performance. This enables data-driven decision-making, improved player development, and enhanced fan engagement. As a result, teams can now turn data into a key differentiator in the competitive sports landscape.

Amazon Finance teams have developed a scalable AI application on AWS Bedrock and other services to streamline regulatory inquiries, leveraging generative AI to transform the handling of these inquiries. This solution enables each team to create and maintain its own dedicated knowledge base, populated with their specific regulatory information. By utilizing Amazon Bedrock, the application achieves a 30% reduction in response times and a 25% decrease in costs. This practical implication for engineers building AI systems is the ability to create tailored knowledge bases for specific use cases, improving efficiency and reducing costs.

Presented by EdgeVerve For most enterprises, AI adoption began with a straightforward ambition: automate work faster, cheaper, and at scale. Chatbots replaced basic service requests, machine‑learning models optimized forecasts, and analytics dashboards promised sharper insights. Yet many organizatio...

Is AI leaving the era of "turn-based" chat? Right now, all of us who use AI models regularly for work or in our personal lives know that the basic interaction mode across text, imagery, audio, and video remains the same: the human user provides an input, waits anywhere between milliseconds...

A doctor in a hospital exam room watches as a medical transcription agent updates electronic health records, prompts prescription options, and surfaces patient history in real time. A computer vision agent on a manufacturing line is running quality control at speeds no human inspector can match. Bot...

Enterprise AI has learned to generate. It has learned to reason. Now companies are asking the next question: How should AI act? Early agent systems have shown what’s possible, moving beyond simple prompts to take on more complex tasks. The next step is bringing those capabilities into enterprise env...

Data protection provider Commvault Systems Inc. today announced new artificial intelligence capabilities that it says will allow organizations to accelerate AI adoption with confidence while maintaining control over data, agents and recovery. The new capabilities allow enterprises to activate AI saf...

Artificial intelligence computing company Blaize Holdings Inc. today announced the launch of Blaize AI Services, a new platform designed to help AI infrastructure providers and enterprises deploy production-ready, application-level AI services without building the underlying AI stack from scratch. M...