Sema4.ai Launching Series - Part 2: Deep dive into Sema4.ai tech
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This is the second part of a webinar series presented by Paul Codding (SVP of Product and Customer Experience), George Vetticaden (VP of Product Management) and Tommi Holmgren.
Sema4ai's YouTube webinar introduces their Enterprise AI agent platform, focusing on automating business processes with worker agents and document intelligence.
The speakers demonstrate how to build, supervise, and deploy these agents using Sema4ai Studio and Control Room.
A key use case highlighted is automating payment remittance reconciliation, showcasing how the agents extract data, match payments, and resolve discrepancies. The demonstration covers agent creation, runbook configuration, LLM integration, custom action development with the SDK, and production deployment.
The platform allows business users and developers to collaborate seamlessly in creating real-world agent applications. The webinar also discusses the importance of validation, observability, and data residency within the user's VPC.
Sema4.ai Launching Series - Part 1: Sema4.ai Enterprise AI Agent Platform
Published on:
This is the first part of a webinar series presented by Paul Codding (SVP of Product and Customer Experience) and Suds Menon (Chief Product Officer).
The speakers emphasize that businesses require solutions that go beyond isolated AI capabilities and handle complete workflows. Sema4 AI aims to bridge this gap by providing a platform that empowers business users to build, deploy, and manage AI agents capable of automating complex, domain-specific work.
The platform is centered around two agent types:
Conversational agents interact with users to accomplish tasks.
Worker agents function autonomously, handling tasks and only escalating issues or requiring approvals when needed.
Key characteristics of Sema4 AI agents include:
They are defined in English, allowing for iterative improvement.
They possess an understanding of the enterprise, encompassing data, applications, and documents.
They are autonomous, operating 24/7.
They provide transparent reasoning, enabling users to understand their decision-making processes.
They adhere to enterprise security, governance, and auditability standards.