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Unlock retail intelligence by transforming data into actionable insights using generative AI with Amazon Q Business

Unlock retail intelligence by transforming data into actionable insights using generative AI with Amazon Q Business

Businesses often face challenges in managing and deriving value from their data. According to McKinsey, 78% of organizations now use AI in at least one business function (as of 2024), showing the growing importance of AI solutions in business. Additionally, 21% of organizations using generative AI have fundamentally redesigned their workflows, showing how AI is …

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Democratize data for timely decisions with text-to-SQL at Parcel Perform

Democratize data for timely decisions with text-to-SQL at Parcel Perform

This post was co-written with Le Vy from Parcel Perform. Access to accurate data is often the true differentiator of excellent and timely decisions. This is even more crucial for customer-facing decisions and actions. A correctly implemented state-of-the-art AI can help your organization simplify access to data for accurate and timely decision-making for the customer-facing …

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Query Amazon Aurora PostgreSQL using Amazon Bedrock Knowledge Bases structured data

Query Amazon Aurora PostgreSQL using Amazon Bedrock Knowledge Bases structured data

Amazon Bedrock Knowledge Bases offers a fully managed Retrieval Augmented Generation (RAG) feature that connects large language models (LLMs) to internal data sources. This feature enhances foundation model (FM) outputs with contextual information from private data, making responses more relevant and accurate. At AWS re:Invent 2024, we announced Amazon Bedrock Knowledge Bases support for natural …

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Configure fine-grained access to Amazon Bedrock models using Amazon SageMaker Unified Studio

Configure fine-grained access to Amazon Bedrock models using Amazon SageMaker Unified Studio

Enterprises adopting advanced AI solutions recognize that robust security and precise access control are essential for protecting valuable data, maintaining compliance, and preserving user trust. As organizations expand AI usage across teams and applications, they require granular permissions to safeguard sensitive information and manage who can access powerful models. Amazon SageMaker Unified Studio addresses these …

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Improve conversational AI response times for enterprise applications with the Amazon Bedrock streaming API and AWS AppSync

Improve conversational AI response times for enterprise applications with the Amazon Bedrock streaming API and AWS AppSync

Many enterprises are using large language models (LLMs) in Amazon Bedrock to gain insights from their internal data sources. Amazon Bedrock is a fully managed service that offers a choice of high-performing foundation models (FMs) from leading AI companies like AI21 Labs, Anthropic, Cohere, Meta, Mistral AI, Stability AI, and Amazon through a single API, …

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Scale generative AI use cases, Part 1: Multi-tenant hub and spoke architecture using AWS Transit Gateway

Scale generative AI use cases, Part 1: Multi-tenant hub and spoke architecture using AWS Transit Gateway

Generative AI continues to reshape how businesses approach innovation and problem-solving. Customers are moving from experimentation to scaling generative AI use cases across their organizations, with more businesses fully integrating these technologies into their core processes. This evolution spans across lines of business (LOBs), teams, and software as a service (SaaS) providers. Although many AWS …

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Accelerate AI development with Amazon Bedrock API keys

Accelerate AI development with Amazon Bedrock API keys

Today, we’re excited to announce a significant improvement to the developer experience of Amazon Bedrock: API keys. API keys provide quick access to the Amazon Bedrock APIs, streamlining the authentication process so that developers can focus on building rather than configuration. CamelAI is an open-source, modular framework for building intelligent multi-agent systems for data generation, …

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Accelerating data science innovation: How Bayer Crop Science used AWS AI/ML services to build their next-generation MLOps service

Accelerating data science innovation: How Bayer Crop Science used AWS AI/ML services to build their next-generation MLOps service

The world’s population is expanding at a rapid rate. The growing global population requires innovative solutions to produce food, fiber, and fuel, while restoring natural resources like soil and water and addressing climate change. Bayer Crop Science estimates farmers need to increase crop production by 50% by 2050 to meet these demands. To support their …

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