Generative AI continues to push the boundaries of what’s possible. One area garnering significant attention is the use of generative AI to analyze audio and video transcripts, increasing our ability to extract valuable insights from content stored in audio or video files. Speech data is unique and complex, which makes it difficult to analyze and …
In our last blog, I outlined what modernization really means and why it matters. This blog will walk you through how to design a modernization approach that unites strategy, processes, and technology. Getting these elements right will help position your organization to successfully adopt new innovations like AI. I’ll start by covering a few common …
Designing a successful modernization approach for AI readiness Read More »
Generally available today, Windows Server 2025 builds on our mission to deliver a secure and high-performance Windows Server platform tailored to meet customers’ diverse needs. This release will enable you to deploy apps in any environment, whether on-premises, hybrid environments, or in the cloud. Windows Server 2025 Investing in your success with Windows Server Try …
Fine-tuning is a powerful approach in natural language processing (NLP) and generative AI, allowing businesses to tailor pre-trained large language models (LLMs) for specific tasks. This process involves updating the model’s weights to improve its performance on targeted applications. By fine-tuning, the LLM can adapt its knowledge base to specific data and tasks, resulting in …
Best practices and lessons for fine-tuning Anthropic’s Claude 3 Haiku on Amazon Bedrock Read More »
As enterprises increasingly embrace generative AI , they face challenges in managing the associated costs. With demand for generative AI applications surging across projects and multiple lines of business, accurately allocating and tracking spend becomes more complex. Organizations need to prioritize their generative AI spending based on business impact and criticality while maintaining cost transparency …
Track, allocate, and manage your generative AI cost and usage with Amazon Bedrock Read More »
Traditionally, clinical trials not only place a significant burden on patients and participants due to the costs associated with transportation, lodging, meals, and dependent care, but also have an environmental impact. With the advancement of available technologies, decentralized clinical trials have become a widely popular topic of discussion and offer a more sustainable approach. Decentralized …
Advance environmental sustainability in clinical trials using AWS Read More »
Amazon Q Business is a generative AI-powered assistant designed to enhance enterprise operations. It’s a fully managed service that helps provide accurate answers to users’ questions while adhering to the security and access restrictions of the content. You can tailor Amazon Q Business to your specific business needs by connecting to your company’s information and …
Use Amazon Q to find answers on Google Drive in an enterprise Read More »
This post is co-written with David Gildea and Tom Nijs from Druva. Druva enables cyber, data, and operational resilience for thousands of enterprises, and is trusted by 60 of the Fortune 500. Customers use Druva Data Resiliency Cloud to simplify data protection, streamline data governance, and gain data visibility and insights. Independent software vendors (ISVs) …
AWS offers powerful generative AI services, including Amazon Bedrock, which allows organizations to create tailored use cases such as AI chat-based assistants that give answers based on knowledge contained in the customers’ documents, and much more. Many businesses want to integrate these cutting-edge AI capabilities with their existing collaboration tools, such as Google Chat, to …
Create a generative AI–powered custom Google Chat application using Amazon Bedrock Read More »
