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

AWS Machine Learning

They have structured data such as sales transactions and revenue metrics stored in databases, alongside unstructured data such as customer reviews and marketing reports collected from various channels. or “Were there any supply chain issues that could have affected our North American market for clothing sales?”

APIs 107
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Automate building guardrails for Amazon Bedrock using test-driven development

AWS Machine Learning

Clone the repo To get started, clone the repository by running the following command, and then switch to the working directory: git clone [link] Build your guardrail To build the guardrail, you can use the CreateGuardrail API. Based on the API response, you can determine the guardrail’s action.

APIs 118
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Generate user-personalized communication with Amazon Personalize and Amazon Bedrock

AWS Machine Learning

For instance, as a marketing manager for a video-on-demand company, you might want to send personalized email messages tailored to each individual usertaking into account their demographic information, such as gender and age, and their viewing preferences. Amazon Bedrock users must request access to models before they are available for use.

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Discover insights from Gmail using the Gmail connector for Amazon Q Business

AWS Machine Learning

Amazon Q Business enables users in various roles, such as marketers, project managers, and sales representatives, to have tailored conversations, solve problems, generate content, take action, and more, all through a web-based interface. We provide the service account with authorization scopes to allow access to the required Gmail APIs.

APIs 120
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Getting started with computer use in Amazon Bedrock Agents

AWS Machine Learning

Traditional automation approaches require custom API integrations for each application, creating significant development overhead. Add the Amazon Bedrock Agents supported computer use action groups to your agent using CreateAgentActionGroup API. Prerequisites AWS Command Line Interface (CLI), follow instructions here.

APIs 135
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How AWS Sales uses generative AI to streamline account planning

AWS Machine Learning

Enterprise Account Manager As someone managing multiple mid-market accounts, I struggled to create in-depth plans for all my customers. The AI assistant now helps me rapidly generate baseline plans that I can then prioritize and customize. Its a game-changer for serving my full portfolio of accounts.

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Speed up your time series forecasting by up to 50 percent with Amazon SageMaker Canvas UI and AutoML APIs

AWS Machine Learning

As an example, time-series forecasting allows retailers to predict future sales demand and plan for inventory levels, logistics, and marketing campaigns. In this post, we describe the enhancements to the forecasting capabilities of SageMaker Canvas and guide you on using its user interface (UI) and AutoML APIs for time-series forecasting.

APIs 120