Salesforce and Google Cloud Announce Expanded Strategic Partnership to Unlock the Power of AI, Data, and CRM
Driving AI and Data-Powered Customer Experiences
Salesforce and Google Cloud today unveiled an enhanced strategic partnership aimed at empowering businesses to harness the potential of data and AI to deliver personalized customer experiences, gain deep insights into customer behavior, and run highly effective campaigns across marketing, sales, service, and commerce. This collaboration introduces two groundbreaking innovations that enable real-time data sharing with advanced predictive and generative AI capabilities, allowing businesses to leverage their data and custom AI models for enhanced customer predictions and reduced complexity in data synchronization.
Addressing Data Complexity with AI
The Challenge of Data Complexity
In a recent study, 80% of business leaders emphasized the importance of data in decision-making, yet 41% found their data too complex and inaccessible to be truly valuable. This expanded partnership between Salesforce and Google Cloud addresses this challenge by providing seamless data access and understanding, empowering companies to harness their data for AI-driven insights that elevate customer experiences.
Breakthrough Innovations for Customer Data
Key Innovations and Their Impact
Unifying Data with Salesforce Data Cloud and Google BigQuery
Integrating Salesforce Data Cloud and Google BigQuery enables companies to create unified customer profiles, facilitating highly personalized experiences. By offering customers zero-copy or zero-ETL data access, Salesforce and Google Cloud ensure data access across platforms and clouds, effectively consolidating data in a single location. This groundbreaking integration reduces the cost and complexity of data movement or duplication while maintaining governance and trust.
Transforming Customer Engagement: A Fashion Retail Example
Real-World Application
Now a fashion retailer can merge CRM data, including customer purchase history and service interactions, with non-CRM data like real-time online activity or social media sentiment. By leveraging custom AI models, the retailer can predict customers’ clothing preferences and deliver hyper-personalized recommendations through various channels, such as email, mobile apps, or social media.
