Accelerate development and leverage data with AI from Amazon Q

We believe generative artificial intelligence (AI) has the potential to transform virtually every customer experience. To make this possible, we’re rapidly innovating to provide the most comprehensive set of capabilities across the three layers of the generative AI stack. This includes the bottom layer with infrastructure to train Large Language Models (LLMs) and other Foundation Models (FMs) and produce inferences or predictions, the middle layer with tools to easily and rapidly build generative AI applications, and the top-layer where we’re investing in game-changing applications. While all of these layers are important for the advancement of generative AI, I’m excited today to share more on our investments in the top application layer.

With the assistance of generative AI, everyone from developers and business analysts to employees in specialized areas like customer service or supply chain operations, can be more productive, creative, and data-driven than ever before. But for generative AI apps and assistants to be truly useful at work, they must know an organization’s data, their customers, their operations, and their business. Many of today’s assistants can’t be easily personalized and they weren’t designed to meet the data privacy and security requirements companies need.

That’s why we invented Amazon Q, the most capable generative AI-powered assistant for accelerating software development and leveraging business data. I’m excited to share that Amazon Q DeveloperAmazon Q Business, and Amazon Q in QuickSight are available today along with several new features. You can see a quick breakdown of today’s announcement and demos in this video from Dr. Matt Wood.

Amazon Q is the most capable work assistant available today, and we built it with security and privacy in mind from the start- if an employee can’t access a data source normally, they can’t access it through Q either.

We are bringing you a ton of great capabilities and experiences today, and I thought I’d call out a just a few.

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