AI

Amazon Q Business is the generative artificial intelligence (AI) assistant that empowers employees with your company’s knowledge and data. Microsoft SharePoint Online is used by many organizations as a secure place to store, organize, share, and access their internal data. With generative AI, employees can get answers to their questions, summarize content, or generate insights […]

Effective customer support and project management are critical aspects of providing effective customer relationship management. Atlassian Jira, a platform for issue tracking and project management functions for software projects, has become an indispensable part of many organizations’ workflows to ensure success of the customer and the product. However, extracting valuable insights from the vast amount

DC went to YC to talk OS.

In a recently uncovered 1983 speech, Steve Jobs predicted the ubiquity of personal computers. In 2024, AI has brought us to another inflection point.

The union representing the voice and motion-capture actors who work in video games authorized the strike after talks with gaming companies stalled over the use of AI.

Today, we are excited to announce a new capability in Amazon SageMaker inference that can help you reduce the time it takes for your generative artificial intelligence (AI) models to scale automatically. You can now use sub-minute metrics and significantly reduce overall scaling latency for generative AI models. With this enhancement, you can improve the

The company behind ChatGPT is expanding into search, and leaning heavily on its relationships with publishers.

The Garden State has enacted a hefty new tax credit specifically for AI businesses. But tax incentives—particularly for data centers—don’t always create a lot of jobs.

Amazon Q Business is a fully managed, generative artificial intelligence (AI)-powered assistant that helps enterprises unlock the value of their data and knowledge. With Amazon Q, you can quickly find answers to questions, generate summaries and content, and complete tasks by using the information and expertise stored across your company’s various data sources and enterprise

As conversational artificial intelligence (AI) agents gain traction across industries, providing reliability and consistency is crucial for delivering seamless and trustworthy user experiences. However, the dynamic and conversational nature of these interactions makes traditional testing and evaluation methods challenging. Conversational AI agents also encompass multiple layers, from Retrieval Augmented Generation (RAG) to function-calling mechanisms that