Salesforce Expands Collaboration With Google Cloud and AWS to Broaden Agentic AI Ecosystem
TECHWORLD ·
✦ AI Summary
Salesforce unveiled expanded collaborations with Google Cloud and AWS at Dreamforce 2026, along with agentic AI use cases from Siemens and Adecco.
The partnerships, based on AI Force, connect cloud infrastructure, data, AI models and collaboration tools, while supporting AI agent use without disrupting existing data or permission and governance systems.
Siemens links Agentforce with Teamcenter SLM to process inbound leads from 132 countries with AI, and Adecco Group plans to expand Agentforce Co-worker to more than 40 countries.
Salesforce expanded its collaboration with global cloud companies including Google Cloud and AWS to strengthen its agentic AI ecosystem. The goal is to connect data, AI agents and work environments.
At Dreamforce 2026, held in San Francisco from the 15th to the 17th local time, Salesforce unveiled expanded collaborations with Google Cloud and AWS, along with agentic AI use cases from Siemens and Adecco. The partnership is based on Salesforce's interface layer, AI Force.
The focus of the collaboration is on connecting cloud infrastructure, data, AI models and collaboration tools. This will help companies use AI agents across a range of work environments while keeping existing data and maintaining their permission and governance frameworks.
In its collaboration with Google Cloud, Salesforce will run Hyperforce in the Google Cloud environment and integrate Salesforce's headless architecture with Gemini Enterprise. Through this, the two companies will work to build a structure in which AI agents on both platforms operate based on the same enterprise data and business context.
The collaboration with AWS focuses on connecting AI agents to real-world work environments. In this partnership, Salesforce plans to use Amazon Quick with Salesforce customer data and business context, and link AWS AI agents with Slack.
Salesforce will support the use of Amazon Bedrock foundation models in Agentforce. It will also expand the scope of the collaboration into customer service by promoting real-time, two-way voice integration between Agentforce Voice and Amazon Connect Customer.
The two companies will also provide voice dictation functionality optimized for AWS Trainium chips for Salesforce's voice model. The feature will allow users to record and share voice in Slack without switching screens.
Salesforce is expanding its developer and talent ecosystem while pursuing technical collaboration. The Salesforce Trailblazer community marked its 20th anniversary this year, and more than 700 groups are active worldwide. Trailhead badge issuance has exceeded 151 million, and certifications have exceeded 1.48 million.
There are four official Trailblazer communities in South Korea. The domestic communities have held more than 180 meetups since 2018. The domestic community event, Seoul Dreamin', is scheduled to be held on Nov. 11.
Salesforce also unveiled enterprise use cases of agentic AI. Salesforce explained Siemens' operational use of Agentforce linked with Teamcenter Service Lifecycle Management (Teamcenter SLM) to use engineering information in sales and service operations.
Siemens receives more than 2,500 potential customer inquiries each month. AI agents respond to inquiries, determine suitability and then connect them with sales representatives. Salesforce said Siemens is operating AI-based processing of inbound leads in 132 countries, supporting about 18,000 sales staff.
Adecco Group, a global talent solutions company, plans to expand the scope of Agentforce Co-worker to more than 40 countries and about 27,000 employees. Adecco Group is currently using agentic AI in recruitment work in 10 countries and plans to broaden its application areas to sales, recruitment, customer communication and candidate communication.
Park Se-jin, CEO of Salesforce Korea, said that in the AI era, the core of enterprise competitiveness lies not only in the performance of individual models, but in the organic connection among data, business systems, AI agents and partner ecosystems. He added that the company will pursue the connection between enterprises' existing IT assets and AI based on global partnerships and communities.
Source: TECHWORLD · Kim Seung-gi
Original: https://www.epnc.co.kr/news/articleView.html?idxno=407093
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Source: TECHWORLD
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