Yes
This session explored how Salesforce and AWS are working together to make AI easier to adopt — with tools like Prompt Builder, Agentforce, and Amazon Bedrock leading the way.
A key theme was how customers can use AI confidently, knowing their data stays private and secure thanks to the combined Salesforce and AWS infrastructure. Our joint customer Accounting Seed, an accounting software company, brought this to life: CTO Ryan Sieve shared how their team is using AI-powered assistants to streamline work, boost efficiency, and create more personalized experiences across sales, service, and development.
The session wrapped up with practical tips for admins and developers — from turning on new AI models to setting up providers and tracking how AI is being used over time.
<html><head></head><body><p>• Salesforce and AWS integrations enable secure, scalable AI implementations, leveraging tools like Agent Force and Amazon Bedrock for data privacy and compliance.</p><p>• AI-driven digital personas are transforming workflows by automating repetitive tasks and allowing users to focus on strategic activities, improving efficiency and productivity.</p><p>• The session provided practical guidance for configuring and optimizing Salesforce AI tools, including enabling beta models, customizing agent-level AI configurations, and using audit tools to track AI performance and usage.</p></body></html>
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Learn how to use model optionality with Agentforce by deploying Anthropic and other models via Amazon Bedrock.
Learn to enable secure and compliant AI adoption for regulated industries, connecting to private data on AWS.
Reserved seat released 10 min prior to session if not present.
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Intermediate
Architect
Developer
Agentforce
Agentic AI
Session Summary
Visible
Level 2
Breakout
Breakout
Wednesday, Apr 15
1:00 p.m. Wednesday, Apr 15
Learn how to deploy Anthropic models via Amazon Bedrock in Agentforce’s secure environment, enabling compliant AI adoption at scale, particularly for regulated industries.