Salesforce Data Cloud Transforms AI Decision-Making with AWS Marketplace Integration

Salesforce Data Cloud: Revolutionizing AI and decision-making - SiliconANGLE

Data-Driven AI: The strategic collaboration Between AWS and Salesforce Data Cloud For better decision-making with artificial intelligence, data must be at the core, positioning solutions -- such as Salesforce Data Cloud -- to most effectively unlock deeper insights and predictive analytics. Since making informed decisions based on customer behavioral trends and patterns is crucial, Salesforce Data Cloud is playing a key role by enhancing the effectiveness of AI solutions, according to Matt Yanchyshyn (pictured), vice president of AWS Marketplace and partner services at Amazon Web Services Inc. "We're seeing a lot of interest in Data Cloud these days," Yanchyshyn said. "On Data Cloud, specifically, I think this week I'm spending a lot of time talking about AI, and as everyone knows, data is the root of AI. That part of the portfolio is where we're seeing a lot of traction with Salesforce, with the Marketplace. How do I use Data Cloud, procure Data Cloud, and then, most importantly, bring that data to bear in my AI applications?" Yanchyshyn spoke with theCUBE Research's Rob Strechay at Dreamforce, during an exclusive broadcast on theCUBE, SiliconANGLE Media's livestreaming studio. They discussed how Salesforce Data Cloud is streamlining the AI field, as well as the partnership between Salesforce and Amazon Web Services Inc. Given that Salesforce Data Cloud is available through AWS Marketplace, this bridges the gap of acquiring and deploying AI tools. The Marketplace also comes in handy for tailormade solutions, such as the maximization of procurement processes, Yanchyshyn pointed out. "You can actually buy all of Salesforce's products now in the Marketplace, Data Cloud, etc.," he stated. "We have tons of customers just telling us that they're using Marketplace with Salesforce to streamline procurement, to optimize spend management costs, and really just make things smoother when it comes to buying Salesforce products. I think in the last few years what has really helped to propel Marketplace is private offers." The collaboration between Salesforce and AWS is strategic since its geared toward enhancing the partner ecosystem. AWS also uses Salesforce as an application development platform, according to Yanchyshyn. "We built our Partner Central, which is the primary service that over 2.5 million users use in a partner community to do business with AWS and our joint customers," he explained. "That is largely built on Salesforce Experience Cloud. That's a clear manifestation of the way that we're leveraging Salesforce."

Unlocking AI potential with Salesforce Data Cloud - SiliconANGLE

How Salesforce Data Cloud is powering AI-driven customer experiences As we look at the current trajectory of enterprise technology, it's clear that platforms such as Salesforce Data Cloud are essential for driving artificial intelligence-powered customer experiences. Organizations are pushing toward more intelligent, human-like interactions across customer experiences, moving beyond chatbots to AI-powered agents. This trend reflects a growing need to leverage both human expertise and AI capabilities to create seamless, scalable systems that redefine customer relations, according to David Schmaier (pictured), president and chief product officer of Salesforce Inc. "We built something new in the last several years called our Data Cloud, which allows you to basically integrate, harmonize and unify all the data together," Schmaier said. "Our view is the data powers the AI and the agents, and the agents power the customer experience for the next generation. So we've really brought it all together with Agentforce." Schmaier spoke with theCUBE Research's Rob Strechay and George Gilbert at Dreamforce, during an exclusive broadcast on theCUBE, SiliconANGLE Media's livestreaming studio. They discussed the role of Salesforce's Data Cloud in unifying customer data and the broader ecosystem strategy that enables businesses to streamline workflows and enhance customer experiences using AI. By embedding AI agents within Salesforce's existing platform, businesses can seamlessly integrate these capabilities without having to start from scratch. The real magic happens when AI learns from the data it processes, enabling more precise and tailored customer interactions. Schmaier pointed out. "I've been working on what we call CRM software for over three decades," Schmaier said. "This is the dream of CRM, where you and I, the three of us all work together and we put data into the system, and the system magically does things for us. Now, the AI agents can do that magic." The integration of Salesforce's Data Cloud is another significant advancement. The cloud not only brings real-time data into the fold but also normalizes and harmonizes it across systems, making AI actionable, Shcmaier explained. "Now, the data lake, the Data Cloud, takes it further, because we can bring in SAP data, we can bring in billing data. If somebody clicks on a certain product page on your website, you instantly get that," Schmaier said. "That's a signal that we can send to the right salespeople and say, 'Hey, somebody just clicked on this page, they might want to buy this particular product.' That would be good to know instantaneously because leads are sometimes perishable. So we've connected all this together." A central theme in Salesforce's vision for the future of AI is the symbiotic relationship between AI agents and human users. Rather than viewing AI as a replacement for human work, Salesforce sees it as an enabler. "We think that there are some situations where you're going to want to talk to people, like in the theme park, there might be somebody with an iPad guiding you to the next ride that's using Salesforce," Schmaier said. "But we think the intelligence and the smarts and the AI make that all effortless, it makes it the experience that you want. It's what we call AI that you would really hope to have, an AI that you imagine." Here's the complete video interview, part of SiliconANGLE's and theCUBE Research's coverage of Dreamforce 2024: