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Salesforce's Chief Engineering Officer discusses Agentforce, the company's AI platform, and its integration with other applications. The focus is on breaking down data silos to enhance AI functionality across various enterprise systems. This collaboration is essential for automating end-to-end processes and improving operational efficiency.
The conversation highlights the importance of interoperability at both data and AI layers, enabling seamless communication between different systems. By leveraging open-source technologies, Salesforce aims to simplify the integration process for its customers, allowing them to benefit from enhanced AI capabilities without heavy lifting. The shift towards using Small Language Models (SLMs) is also emphasized, as they offer cost-effective solutions tailored to specific tasks.
• Agentforce enhances interconnectivity between various enterprise AI platforms.
• Salesforce emphasizes the use of Small Language Models for efficiency.
This is crucial for enabling AI agents to automate processes across various applications.
SLMs are being adopted for specific tasks to reduce computational costs.
This technology facilitates immediate data access for AI applications.
Salesforce is pivotal in developing AI solutions like Agentforce to enhance enterprise connectivity.
Workday collaborates with Salesforce to integrate their data and AI layers for improved operational efficiency.
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