Amazon Web Services (AWS) today announced the general availability of Amazon Bedrock on Amazon SageMaker Unified Studio. This new solution is designed to help businesses efficiently manage the increasing amount of data and customer interactions, a growing need in a business environment that demands optimization. The generative artificial intelligence agents integrated into this platform offer an effective method to automate various tasks, allowing teams to free up time and focus on more strategic functions.
The integration of Amazon Bedrock within SageMaker Unified Studio provides a unified service that enables the development of customer-centric artificial intelligence solutions. This platform easily connects with existing applications and allows for natural language interactions, facilitating communication between complex systems and users. It features core capabilities such as base models, knowledge bases, and workflows, all accessible through a single sign-on that promotes collaboration without the need for the AWS management console.
One key advantage of this solution is the ability to create generative AI agents that integrate organizational applications, databases, and third-party systems. For example, using Bedrock’s functions, an agent can connect with JIRA APIs to provide real-time updates on project status, access relevant customer information, and perform task updates.
This approach will significantly improve the productivity of sales, marketing, and project management teams by allowing quick access to crucial information, resulting in better customer service and increased task management efficiency. Additionally, Amazon Bedrock provides a regulated collaborative environment that ensures proper control over access and identity management.
The process for implementing a customer relationship management (CRM) agent has been simplified, allowing users to interact in natural language to get updates on customers, check open tasks in JIRA, and modify project delivery dates. This use case demonstrates the platform’s versatility and its potential to process and present data in an understandable way.
With the increasing demand for integrating advanced technologies into business operations, Amazon Bedrock on SageMaker Unified Studio offers a scalable and flexible solution. This tool not only promises to improve decision-making capabilities and customer satisfaction but also reduce manual effort and increase efficiency in an increasingly competitive work environment. AWS’s new offering encourages companies to try this tool in their own scenarios, facilitating the swift adoption of artificial intelligence in their daily routines.
Source: MiMub in Spanish
