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Build generative AI applications quickly with Amazon Bedrock IDE in Amazon SageMaker Unified Studio

AWS Machine Learning - AI

When users pose questions through the natural language interface, the chat agent determines whether to query the structured data in Amazon Athena through the Amazon Bedrock IDE function, search the Amazon Bedrock knowledge base, or combine both sources for comprehensive insights.

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Revolutionizing clinical trials with the power of voice and AI

AWS Machine Learning - AI

This transcription then serves as the input for a powerful LLM, which draws upon its vast knowledge base to provide personalized, context-aware responses tailored to your specific situation. These data sources provide contextual information and serve as a knowledge base for the LLM.

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Business Intelligence Strategy: How to Develop and Document your BI Roadmap

Altexsoft

Business Intelligence is a practice of turning raw data into useful insights. It allows you to collect data from different sources, organize it, and then enjoy the analytics. Probably yes, as it’s the most balanced view of the business you can get. Now, let’s talk about your Business Intelligence strategy.

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Asure’s approach to enhancing their call center experience using generative AI and Amazon Q in Quicksight

AWS Machine Learning - AI

Therefore, it was valuable to provide Asure a post-call analytics pipeline capable of providing beneficial insights, thereby enhancing the overall customer support experience and driving business growth.

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Transformation transformed: How Generative AI has completely changed the way businesses think about innovation

CIO

For those who deploy AI responsibly, this new era of GenAI-led innovation is setting the stage for dramatic improvements in the speed with which businesses can launch new solutions, the level of personalization they can deliver in individual customer experiences, and the level of business intelligence they can summon at any given point in time.

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DataRobot and Snowflake Healthcare Campaign

DataRobot

— Snowflake and DataRobot AI Cloud Platform is built around the need to enable secure and efficient data sharing, the integration of disparate data sources, and the enablement of intuitive operational and clinical predictive analytics. Building data communities. Data-driven clinicians and healthcare professionals. . Action to take.

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Empowering everyone with GenAI to rapidly build, customize, and deploy apps securely: Highlights from the AWS New York Summit

AWS Machine Learning - AI

Amazon Q can also help employees do more with the vast troves of data and information contained in their company’s documents, systems, and applications by answering questions, providing summaries, generating business intelligence (BI) dashboards and reports, and even generating applications that automate key tasks.