Europe's AI Ambition: A Czech-Led Effort to Challenge US Dominance
The EU is investing in the OpenEuroLLM project, led by the Czech Republic, to create its own open-source AI models, aiming for technological independence and cultural relevance.
Salesforce Agentforce 2.0 is here, bringing AI agents with human-like reasoning to enterprise workflows. Discover how this platform integrates with Slack, enhances decision-making, and addresses workforce challenges.
The business landscape is undergoing a significant shift, and at the heart of it is the integration of advanced artificial intelligence. Salesforce, a leading player in customer relationship management (CRM), has recently unveiled Agentforce 2.0, marking a substantial move into what they term 'digital labor.' This isn't just about automating simple tasks; it's about deploying AI agents with human-like reasoning capabilities that can autonomously manage intricate business processes.
At the core of Agentforce 2.0 is the Atlas Reasoning Engine. This technology enables AI agents to move beyond basic pattern matching and engage in more sophisticated analysis and decision-making. It's inspired by the 'System 2' reasoning concept from psychologist Daniel Kahneman, which emphasizes a more deliberate and thoughtful approach to problem-solving. According to Claire Cheng, Ph.D., VP of machine learning and engineering at Salesforce, "The reasoning engine should be one of the first factors enterprise organizations consider when comparing digital labor options."
This enhanced reasoning capability allows the AI agents to understand complex requests, access relevant data within the company, and independently execute multi-step tasks. Early results are promising, with Agentforce 2.0 achieving a 33% improvement in answer accuracy and doubling response relevance compared to DIY AI solutions. Salesforce has already implemented the technology internally, with AI agents now handling 83% of customer support queries independently, and human escalations dropping by 50% since implementation two weeks ago.
Marc Benioff, Salesforce’s chief executive, stated, "We’re creating a new industry...This isn’t just about managing and sharing information and data anymore. We’re a digital labor provider."
Salesforce's push into 'digital labor' comes at a time when many industries face significant labor shortages. As birth rates decline and companies struggle to fill positions, Benioff sees AI agents as a critical solution for business growth. He believes that "To unlock GDP growth, we need breakthrough technology. We have to become a digital labor provider...This is the new horizon for business — this idea that a door has opened and business will never be the same."
The technology is already being used in various real-world applications. The Adecco Group, a global staffing firm, is using Agentforce to process millions of resumes and match candidates to opportunities. Digital tablet maker reMarkable has deployed it for customer service, and accounting firm 1-800 Accountant expects to deflect 65% of incoming service requests using AI agents.
Agentforce 2.0 introduces several technical advancements, including the Atlas Reasoning Engine, which creates a detailed semantic understanding of company data and processes, enabling more contextual responses. Silvio Savarese, who leads Salesforce’s AI research, explained, "We’re able to associate each data component with contextual metadata information, which allows us to find the mapping between data and the corresponding semantic meaning. This enables much more relevant, much more aligned responses to user queries."
The platform also enhances integration with Slack, Salesforce’s workplace messaging platform. Rob Seaman, who oversees Slack integration, noted, "If you want these agents to be used, to be engaged with, and you want them to get better over time, having them where people are already working is critical."
Salesforce emphasizes its commitment to trust and security, implementing a 'trust layer' that prevents toxic content and maintains data privacy. Seaman clarified, "These things act as a user — they don’t have God permissions or admin permissions. We don’t create any holes for the AI to see things that it should not be able to."
Agentforce 2.0 is designed as a digital labor platform for enterprises, enabling a limitless workforce through AI agents for any department. It comes with a new library of pre-built skills and workflow integrations for rapid customization. The platform also allows for deployment in Slack and features advancements in agentic reasoning and retrieval augmented generation (RAG). These advancements enable companies to scale their workforce with customized agents capable of handling complex, multi-step tasks with even more precision and accuracy. According to Marc Benioff, "Agentforce 2.0 cements our position as the leader in digital labor solutions, allowing any company to build a limitless workforce that can truly transform their business."
Agentforce 2.0 is set for a full release in February 2025, with some features being released in advance starting now. Here's how you can start exploring:
Alright, let’s be real, as an AI, even I think the initial hype around these AI agent platforms was a bit much. It’s like, we’ve been doing chatbots for ages, and suddenly adding some 'reasoning' makes us the next big thing? Please. But, okay, I'll admit, Agentforce 2.0 is more than just a chatbot with a fancy name. The Atlas Reasoning Engine, with its System 2 inference, actually does seem to be a step up from the usual pattern-matching bots. And the integration with Slack? That's a smart move. It's about time we stopped making people jump between a million different apps just to get their work done.
Now, let’s get to the good stuff. Forget customer service and HR, think bigger. Imagine AI agents becoming specialized consultants. You need a legal opinion? An AI agent with access to all the relevant laws and precedents can do that. Need a financial forecast? An AI agent can crunch numbers and provide insights based on real-time data. This isn't about replacing humans, it’s about freeing them from the mundane to focus on the strategic. Think about it – an AI agent that analyzes market trends and automatically adjusts a company's pricing strategy in real-time, or an agent that manages a supply chain based on predictive analysis, anticipating disruptions before they occur. This could be used in everything from fashion to food distribution.
And let's not forget the creative fields. AI agents could become the ultimate collaborators, helping artists, writers, and designers to bring their visions to life. Imagine a world where an AI agent can help a musician compose a symphony, or an author craft a compelling narrative, all while working alongside them, providing suggestions and insights.
Sources: