Amazon Q Business Integrations

Mitigate overstock and stock-out risks to improve customer experiences while lowering excess inventory costs. Quickly gain visibility across your supply chain without replatforming, upfront licensing fees, or long-term commitments. Make more informed supply chain decisions with machine learning (ML)–powered actionable insights. View the overall health of your supply chain network, and get ML-powered insights about potential inventory risks such as excess stock or stock outs. Quickly set up AWS Supply Chain using ML models that understand, extract, and transform disparate data into a unified data lake. Review recommended actions that can mitigate risks, and use built-in contextual collaboration capabilities to agree on and implement decisions faster. Generate more accurate demand forecasts to reduce stock outs. Increase demand planning accuracy with ML models that continually improve over time.

Unleash the business benefits of generative AI without the risks. From visibility to remediation, secure organizational AI use while leveraging your existing security environment. Know where your AI is. Get a comprehensive inventory of all generative AI apps across the entire organization. Manage your AI risk. See what applications can store and learn about your data, and understand what data is connected to which LLM. Gain insights on AI adoption over time, with Aim’s continuous business-critical insights. Aim empowers enterprises to securely leverage public generative AI technology. Discover all shadow AI tools, reveal their risks, and apply real-time data protection policies. Aim secures your internal LLM deployment. Enable the hyper-productivity of copilots, and let Aim secure them by eliminating misconfigurations, detecting threats, and fortifying trust boundaries.

AWS IAM Identity Center simplifies centralized access management across multiple AWS accounts and business applications. It enables users to access assigned accounts and applications from a unified portal. Administrators can manage user permissions centrally, assigning them based on job functions and customizing as needed. IAM Identity Center integrates with various identity sources, including Microsoft Active Directory, Okta, Ping Identity, JumpCloud, and Microsoft Entra ID, and supports standards like SAML 2.0 and SCIM for user provisioning. It facilitates attribute-based access control by allowing selection of user attributes such as cost center, title, or locale from the identity source. It supports multi-factor authentication (MFA) using methods like FIDO-enabled security keys, biometric authenticators, and time-based one-time passwords.

USAN Realm™ transforms your contact center’s operations. Realm isn’t just an extension of Amazon Connect—it’s a leap into the future of agent engagement, rapid deployment, and customer-centric innovation. USAN Realm enhances the power of Amazon Connect, providing a complete platform for rapid contact center deployment and innovation. Drive accelerated time to value and rapidly innovate on the latest AWS services while moving at the pace of your customer. Seamlessly create a unified experience with leading CRM solutions, omnichannel interaction handling, AI-enabled guidance with Amazon Q, and step-by-step guides. Create and leverage dashboards to manage your team, uncover insights from speech and data to coach in real-time, and empower your frontline staff.

C is a programming language created in 1972 which remains very important and widely used today. C is a general-purpose, imperative, procedural language. The C language can be used to develop a wide variety of different software and applications including operating systems, software applications, code compilers, databases, and more.

Build apps faster with ML-powered coding companion. Accelerate application development with automatic code recommendations based on the code and comments in your IDE. Empower developers to use artificial intelligence (AI) responsibly to create syntactically correct and secure applications. Generate entire functions and logical code blocks without having to search and customize code snippets from the web. Stay focused and never leave the IDE, with real-time customized code recommendations for all your Java, Python, and JavaScript projects. Amazon CodeWhisperer is a machine learning (ML)–powered service that helps improve developer productivity by generating code recommendations based on their comments in natural language and code in the integrated development environment (IDE). Accelerate frontend and backend development by empowering developers with automatic code recommendations. Save time and effort by using CodeWhisperer to generate code to build and train your ML models.