Salesforce With Google Brings Gemini to Agentforce; Agentic AI For All

Salesforce With Google Brings Gemini to Agentforce; Agentic AI For All

Salesforce and Google today announced an expansion of their strategic partnership, delivering choice in the models and capabilities businesses use to build and deploy AI-powered agents.

Poulami SahaUpdated: Tuesday, February 25, 2025, 11:08 AM IST
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Agentic AI changing business | Freepik

In today's constantly evolving AI landscape, innovations like autonomous agents are emerging so quickly that businesses struggle to keep pace. Salesforce and Google today announced a major expansion of their strategic partnership, delivering choice in the models and capabilities businesses use to build and deploy AI-powered agents.

This expanded partnership provides crucial flexibility, empowering customers to develop tailored AI solutions that meet their specific needs, rather than being locked into a single model provider.

Salesforce and Google expands partnership

Google Cloud is at the forefront of enterprise AI innovation with millions of developers building with Google’s cutting-edge Gemini models and on Google Cloud’s AI-optimized infrastructure. This expanded partnership will empower Salesforce customers to build Agentforce agents using Gemini and to deploy Salesforce on Google Cloud.

This is an expansion of the existing partnership that allows customers to use data bi-directionally from Google BigQuery and Salesforce via zero copy technology – further equipping customers with the data, AI, trust and action they need to bring autonomous agents into their businesses. With Gemini and Agentforce, businesses will benefit from:

Agents with multi-modal capabilities: Gemini's native multimodality lets agents "see" and interpret the world, enabling AI to recognize images (like error codes) and detect emotions in voice. Integrating this into Agentforce creates smarter agents that respond to audio, video, and text.

Expanded contextual understanding and reasoning: Gemini's 2 million-token context window lets agents retain and reference massive amounts of information, like entire codebases, years of customer interactions, or product documentation.

Increased speed and efficiency: Google’s Tensor processing Units (TPUs), combined with advanced techniques like those used in Google's NotebookLM, enable Gemini to process and understand information with exceptional speed and efficiency, delivering real-time responses even for complex queries. This translates to faster response times and reduced operational costs.

Understanding Agentic AI

Agentic AI isn’t just emerging, it’s already here and represents a $2 trillion market opportunity, according to a study from Salesforce. In fact, 84% of CIOs believe AI will be as significant to businesses as the internet.

Moreover, to fully realize this potential, businesses need an agentic strategy with openness, trust, and choice at the center.

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