A naukri.com initiative
Siliconangle
1w
200
Image Credit: Siliconangle
Salesforce refines agentic platform with flexible database
- Salesforce boosts its agentic AI platform, Agentforce, with updates that enhance agents' proactivity and autonomy, along with an AI agent builder for developers.
- Teaching agents context is vital for their autonomy, achieved through topics, instructions, and guardrails embedded in the platform.
- Salesforce emphasizes combining structured and unstructured data for optimal AI agent performance, illustrated by Heathrow Airport's success with Agentforce.
- A metadata lens, security, governance layer, and semantic model enhance Salesforce's agentic AI platform, facilitating efficient responses and consistent KPI standards.
- The company's focus is not just on individual agent improvements but on making the entire system smarter by leveraging insights into repeatable rules.
- Salesforce envisions AI harmonizing APIs across platforms and solving complex problems without deterministic coding, leading the way in agentic AI advancements.
- The company's strategy in agentic AI aims to integrate all necessary components into a comprehensive platform, positioning itself as a leader in the evolving AI landscape.
- Salesforce's approach to agentic AI aligns with enabling dynamic composition of capabilities at runtime to effectively address evolving business challenges.
- The platform's focus on multi-agent behavior and ability to have agents converse with each other showcases Salesforce's commitment to AI evolution.
- Salesforce's comprehensive agentic AI platform is designed to not just innovate in individual agents but to drive systemic intelligence transformation across enterprises.
Read Full Article
12 Likes
For uninterrupted reading, download the app