GEC NEWS WIRESalesforce and NVIDIA are teaming up to enhance AI capabilities for enterprises, focusing on autonomous agents and interactive avatars. Their collaboration will integrate NVIDIA’s AI platform with Salesforce’s tools, particularly Agentforce, to optimize predictive and generative AI workflows. This partnership aims to boost insights and productivity for sales, service, marketing, and IT teams using Salesforce CRM for customer data management.
“Together with NVIDIA, we’re leading the third wave of the AI revolution — moving beyond copilots to humans and intelligent agents working seamlessly to drive customer success,” said Marc Benioff, Chair and CEO, Salesforce. “This is what AI is meant to be — powered by the Salesforce Platform and Agentforce, every Trailblazer can harness AI to its fullest potential. By combining NVIDIA’s AI platform with Agentforce, we’re supercharging AI performance and creating dynamic digital avatars, delivering more engaging, intelligent, and immersive customer experiences than ever before.”
“In the future, every company, every job will be enhanced by a wide range of AI agents – assistants that will transform how we work,” said NVIDIA founder and CEO Jensen Huang. “NVIDIA and Salesforce are bringing together our technologies to accelerate the development of AI agents for companies to supercharge their productivity.”
Enhanced platform collaboration to deliver AI agents
With Salesforce and NVIDIA, organizations will have access to next-generation AI and data capabilities as part of the Salesforce Platform and Agentforce, a groundbreaking set of tools to create and customize agents that come with a collection of pre-built agents. The new collaboration will provide Salesforce customers with accelerated value from AI investments while differentiating and maintaining a competitive edge. Using Salesforce’s AI-powered predictive and generative technologies with NVIDIA NIM microservices and NVIDIA NeMo for model customization, all as part of the NVIDIA AI Enterprise platform, businesses are expected to see advances in AI platform performance and model throughput to improve productivity and effectiveness of interactions across industries.
Use cases include:
- Crisis management: In the event of a product recall or service outage, an agent would efficiently handle high volumes of customer inquiries, offering timely and empathetic responses while escalating critical issues to human agents.
- Real-time weather impact for travel and logistics: AI agents could predict and adjust travel or shipping routes based on live weather data, preventing delays and disruptions. They would automatically update the CRM data to inform customers and stakeholders, ensuring timely and accurate communication about any expected changes or necessary adjustments to their travel plans or delivery schedules. This proactive approach would enhance customer satisfaction and operational efficiency.
- Real-time customer support resolution: AI agents could instantly provide customers with solutions by pulling relevant CRM information during live avatar chats. For example, if a customer asked for help with an order issue, the agent avatar would access real-time shipping data to resolve the query.
