Overview
Watsonx AI Agents is a powerful tool designed to boost productivity by automating complex workflows with AI agents and assistants. It offers a comprehensive suite of capabilities to help businesses build, customize, and manage AI agents effectively.
Key Features:
- Watsonx AI Agents allows users to manage complex IT environments by controlling diverse agent networks across intricate technology stacks with orchestration and integration expertise.
- Users can build custom AI agents and assistants using a low-code studio, which integrates seamlessly and includes prebuilt agents that boost time-to-value by 70%.
- The platform enables the orchestration of multiple agents and assistants, deploying faster with prebuilt agents and integrating with over 80 leading enterprise applications such as Salesforce, Workday, and Microsoft.
Benefits:
- Watsonx AI Agents helps manage complex IT environments, providing control over diverse agent networks and technology stacks.
- It allows for the rapid building and management of custom AI agents, significantly reducing the time to value with prebuilt solutions.
- The platform enhances productivity by integrating with a wide range of enterprise applications, facilitating seamless workflow automation.
Use Cases:
- IBM used Watsonx AI Agents to save 12,000 hours of data gathering and data-entry work in one quarter, showcasing its efficiency in automating repetitive tasks.
- Dun and Bradstreet utilized the platform to deliver 360° supplier risk assessments with trusted data and AI, demonstrating its capability in enhancing data-driven decision-making processes.
- Avid Solutions reduced project management errors by 10% using Watsonx AI Agents, highlighting its effectiveness in improving accuracy and reducing errors in project management.
Capabilities
- Manages complex IT environments
- Builds custom agents and assistants
- Orchestrates multiple agents and assistants
- Automates complex workflows
- Integrates with enterprise applications like Salesforce, Workday, and Microsoft
- Deploys and monitors custom agentic services
- Searches the web in real-time
- Indexes and retrieves documents
- Executes Python code in real-time
- Connects to databases and data warehouses
- Generates various content types, such as marketing campaigns, emails, and social media posts
- Builds and deploys knowledge management applications
- Streamlines the analysis of large datasets to extract insights and forecasts
- Builds AI/ML models automatically
- Develops predictive and prescriptive models
- Manages the full model and application process
- Unifies, curates, and prepares business data
- Manages AI with end-to-end governance
- Deploys voice agents and chatbots
- Enhances developer productivity with AI-recommended code
- Creates data-driven insights to accelerate decision-making
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