How Slack and AWS Are Powering an Agent-First Future | Amazon Web Services
Accelerate your path to an agent-first workplace.
This video shows how Salesforce's Agentforce and Slack native AI use AWS to deliver secure, flexible AI directly inside the Slack experience. Watch it to see how you can:
- Choose the best large language model for each use case
- Keep AI secure with Amazon SageMaker and Amazon Bedrock
- Enable teams to work faster with intelligent, in-workflow tools
Agentforce is a solution launched by Salesforce that supports businesses in adopting an agent-first approach. It integrates with Slack's native AI capabilities, enabling teams to enhance their productivity by leveraging intelligent tools.
How does Slack utilize AWS for AI?
Slack utilizes AWS by integrating Amazon SageMaker and Amazon Bedrock to power its AI capabilities. This partnership ensures secure access to advanced large language models, allowing customers to select the most suitable model for their specific needs within the Slack platform.
Why choose AWS for cloud services?
Amazon Web Services (AWS) is widely adopted for its comprehensive cloud solutions. It enables businesses to be more agile, reduce costs, and innovate at a faster pace. Millions of customers, including startups and large enterprises, rely on AWS to reshape their operations and drive growth.
How Slack and AWS Are Powering an Agent-First Future | Amazon Web Services
published by Thales Security
Businesses and governments rely on Thales to bring trust to the billions of transactions they have with people. Our identity and data protection technologies help banks exchange funds, people cross borders, energy become smarter, and much more. More than 30,000 organizations already rely on Thales solutions to verify the identity of people and things, grant access to digital services, analyze vast quantities of information and encrypt data.
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