IBM and Salesforce announced an expanded strategic partnership to combine IBM Watson AI and Data Platform capabilities with the Salesforce Einstein 1 Platform for better customer choice and flexibility in AI and data deployment.
The expanded partnership spans bidirectional data integration, large language models (LLMs) flexibility, prebuilt actions and prompts for CRM solutions, and a further commitment to responsible AI development to make data-driven decisions and take action directly in their work flow.
Salesforce enhances IBM watsonx AI capabilities by integrating IBM’s Granite models with its Einstein 1 Platform. This integration allows customers to use IBM’s high-performance, enterprise-trained AI models for CRM applications, such as content generation and data classification.
The collaboration offers tailored AI solutions, pre-configured templates, and seamless integration with existing Salesforce tools, enabling businesses to achieve faster ROI and scale AI across their operations.
“Clients need enterprise-grade foundation models that are trusted, performant, and cost-effective,” said Ritika Gunnar, General Manager of Product Management, Data and AI, IBM. “IBM and Salesforce are working together to make navigating the complex generative AI landscape easier by helping clients select the right LLM for their business needs.”
Salesforce customers can access these pre-built actions and prompts across Salesforce applications, including Einstein Copilot, Salesforce’s conversational AI assistant for CRM, using the AI builders in Einstein 1 Studio.
IBM Consulting helps joint customers to scale AI-driven Salesforce CRM initiatives, accelerating time to value while helping mitigate risk.
IBM has joined the Salesforce Zero Copy Partner Network, enabling secure, bidirectional data integrations with Salesforce Data Cloud.
The Zero Copy allows customers to access IBM data via watsonx.data without duplicating it, simplifying security and integration.This approach keeps data in its original location while integrating with Salesforce for a complete customer view.
It reduces the need for complex data pipelines and maximizes technology investments. For example, when shipment delays are detected, it can trigger automated Slack updates for account managers.
“Salesforce and IBM are well positioned to make it easier for customers to get the most value from their data — no matter where it resides — and establish a foundation for customer engagement and trusted AI,” said Rahul Auradkar, EVP & GM, Unified Data Services & Einstein, Salesforce.
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