Salesforce relies on innovative data solutions: Data Cloud revolutionizes customer relationships

Salesforce has made remarkable strides with its Data Cloud product. With a 130% year-over-year growth in paying customers and the processing of more than 2 quadrillion records per quarter, the company showcases its innovative capabilities. Data Cloud now enables the extraction of deeper insights from unstructured audio and video content, making this information usable in Agentforce. Additionally, Data Cloud enhances policy-based governance for better control of sensitive data sharing and introduces AI-tagging for data categorization. With "Private Connect for Data Cloud," secure data sharing with external public clouds is also facilitated. The new Salesforce Datablazers Community provides a platform for IT leaders, developers, and Data Cloud enthusiasts to exchange ideas and network. Data Cloud's potential is harnessed by companies like The Adecco Group, Air India, Aston Martin, FedEx, Kawasaki Motors Corp., and Wyndham Hotels & Resorts. For example, at Air India, Data Cloud enables the integration of loyalty programs, reservations, and flight systems, allowing efficient management of over 550,000 service cases per month. Rahul Auradkar, EVP and GM for Data Cloud at Salesforce, emphasizes that in the new era of AI and autonomous agents, companies view data and metadata as the new gold. The seamless integration of Data Cloud into the Salesforce platform allows companies to enable personalized customer interactions and real-time analytics without compromising data security. The new features and enhancements of Data Cloud make it possible to access and activate data across all Salesforce applications. Thanks to zero-copy technology and MuleSoft connectors, data processing from hundreds of sources is facilitated. The built-in vector database converts different data formats into usable data and harmonizes them with structured data to create comprehensive customer profiles. The enhanced capabilities of Data Cloud ensure continuous improvement of customer experiences while simultaneously supporting Agentforce agents. Using Retrieval Augmented Generation (RAG), real-time insights and contextual information from various sources are integrated to optimize customer service.