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Data Center News > Blog > AI > Salesforce drops Agentforce 2.0, brings reasoning AI to enterprise
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Salesforce drops Agentforce 2.0, brings reasoning AI to enterprise

Last updated: December 25, 2024 4:56 pm
Published December 25, 2024
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Salesforce drops Agentforce 2.0, brings reasoning AI to enterprise
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Salesforce unveiled a significant improve to its synthetic intelligence platform on Tuesday, introducing know-how that allows AI brokers to carry out deeper reasoning and take extra autonomous actions throughout enterprise workflows — a part of what the corporate’s CEO frames as an bold push into “digital labor.”

The San Francisco software program large’s Agentforce 2.0 represents a major evolution in how AI assistants function inside companies, transferring past easy chatbots to AI brokers that may perceive complicated requests, entry related firm information, and independently full multi-step duties.

“We’re creating a brand new {industry},” mentioned Marc Benioff, Salesforce’s chief government, at a press convention asserting the discharge. “This isn’t nearly managing and sharing data and information anymore. We’re a digital labor supplier.”

How Atlas Reasoning Engine powers next-generation enterprise AI

The upgraded platform introduces what Salesforce calls the Atlas Reasoning Engine, which permits AI brokers to interact in additional refined evaluation and decision-making. Not like conventional AI assistants that present fast responses primarily based on sample matching, Atlas employs “System 2” reasoning — a extra deliberative method impressed by psychologist Daniel Kahneman’s analysis on human thought processes.

“The reasoning engine ought to be one of many first elements enterprise organizations contemplate when evaluating digital labor choices,” mentioned Claire Cheng, Ph.D., VP of machine studying and engineering at Salesforce.

Early outcomes seem promising. In testing, Agentforce 2.0 achieved a 33% enchancment in reply accuracy in comparison with DIY AI options, whereas doubling response relevance, in keeping with Salesforce.

See also  IBM closes Hashicorp buy, looks to boost enterprise multicloud and AI automation technology

The corporate has already deployed the know-how internally. At help.salesforce.com, AI brokers now deal with 83% of buyer help queries independently, with human escalations dropping by 50% since implementation two weeks in the past.

“All of the sudden, as a CEO, I’m not simply managing human beings, however I’m additionally managing brokers,” mentioned Benioff. “There’s an genuine agentic layer across the platform as we speak. It’s not some imaginative and prescient fantasy sooner or later thought, it’s what is occurring proper now.”

Digital labor: The important thing to fixing world workforce challenges

Salesforce’s push into “digital labor” comes amid rising labor shortages throughout industries. With start charges declining and firms struggling to fill positions, Benioff sees AI brokers as an important resolution for enterprise development.

“To unlock GDP development, we’d like breakthrough know-how. We’ve to turn out to be a digital labor supplier,” he mentioned. “That is the brand new horizon for enterprise — this concept {that a} door has opened and enterprise won’t ever be the identical.”

The know-how is already discovering real-world functions. The Adecco Group, a worldwide staffing agency, is utilizing Agentforce to course of tens of millions of resumes and match candidates to alternatives. Digital pill maker reMarkable deployed it for customer support, whereas accounting agency 1-800 Accountant expects to deflect 65% of incoming service requests utilizing AI brokers.

Behind the tech: The innovation powering Salesforce’s AI revolution

Underneath the hood, Agentforce 2.0 introduces a number of technical advances. The Atlas Reasoning Engine creates detailed semantic understanding of firm information and processes, enabling extra contextual responses.

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“We’re capable of affiliate every information part with contextual metadata data, which permits us to search out the mapping between information and the corresponding semantic which means,” defined Silvio Savarese, who leads Salesforce’s AI analysis. “This permits rather more related, rather more aligned responses to person queries.”

The platform additionally introduces enhanced integration with Slack, Salesforce’s office messaging platform, permitting workers to work alongside AI brokers straight of their communication flows.

“In order for you these brokers for use, to be engaged with, and also you need them to get higher over time, having them the place individuals are already working is vital,” mentioned Rob Seaman, who oversees Slack integration.

Wanting forward, Salesforce envisions increasing into bodily robotics, with Benioff asserting plans for a “robotic drive associate program” to attach bodily robots with the corporate’s AI agent platform.

Belief, safety, and the long run: Navigating AI’s enterprise integration

For Salesforce, the stakes of this initiative are important. Whereas the corporate expects $38 billion in income this 12 months from its conventional software program enterprise, Benioff believes the digital labor market represents a multi-trillion greenback alternative.

Nonetheless, challenges stay, notably round belief and safety. Salesforce emphasizes its “trust layer” that stops poisonous content material and maintains information privateness, whereas giving clients management over how brokers function inside their organizations.

“This stuff act as a person — they don’t have God permissions or admin permissions,” famous Seaman. “We don’t create any holes for the AI to see issues that it shouldn’t be capable of.”

See also  What Enterprise AI Buyers Should Know

As companies grapple with persistent labor shortages and productiveness challenges, Salesforce is betting that AI brokers will turn out to be a necessary a part of the fashionable workforce. The corporate’s imaginative and prescient suggests a future the place human workers work alongside AI brokers that may deal with more and more complicated duties — basically altering how companies function and scale.

“That is the start of the start,” mentioned Benioff. “Once you’re in the beginning of the start, you see these little issues, and you then attempt to extrapolate what that is going to be. That is an unimaginable second.”


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