
Treasure Data, a leading customer data platform (CDP) solution provider, has introduced a new AI-driven framework for enterprise use. The Treasure Data AI Framework’s latest development integrates advanced generative AI capabilities directly within its CDP, enabling teams to develop and execute marketing campaigns quickly, create custom AI applications, and streamline other tasks essential for business growth. With this new AI-powered framework, Treasure Data aims to strengthen its CDP offerings, supporting companies in creating more dynamic, personalized, and compelling customer experiences.
The Treasure Data AI Framework is built upon Treasure Data’s established customer data platform, adding new tools that make it easier for teams to utilize customer data more effectively. The main components of the AI Framework include:
The launch of this AI Framework marks an essential evolution for customer data platforms. Traditionally, CDPs have focused on collecting, organizing, and analyzing customer data to build a single customer view. By introducing generative AI capabilities, Treasure Data extends these functions, helping businesses drive revenue growth through personalized marketing strategies, accelerated data analysis, and innovative customer engagement.
Kaz Ohta, CEO and Co-founder of Treasure Data describes this step as the next evolution in using customer data to unlock productivity and revenue potential. Ohta says, “AI and customer data drive productivity that unlocks revenue growth. For years, we’ve helped customer-centric teams apply intelligence to customer data with predictive AI and machine learning. With generative AI on top of our CDP, anyone in the organisation can chat with their customer data platform in natural language, democratizing data exploration, analysis, and activation.”
Treasure Data’s generative AI features offer businesses several practical advantages:
Treasure Data’s new framework highlights the shifting role of CDPs in enterprise settings. While CDPs were once primarily seen as tools for data management, they are now evolving into full-scale, AI-driven platforms that enable organizations to harness data more proactively and creatively. With the introduction of generative AI, Treasure Data’s customer data platform is positioning itself as a comprehensive solution for businesses seeking to optimize customer engagement, boost operational efficiency, and adapt quickly to market demands.
This AI-driven approach to CDPs is particularly beneficial as companies navigate complex digital ecosystems. In a world where consumer expectations are high and competition is fierce, integrating AI into CDP functions is becoming essential for companies that want to remain adaptable and forward-thinking. Treasure Data’s new features, such as the AI Marketing Copilot and AI Email Studio, help businesses keep up with changing demands and gain a strategic advantage through innovation and personalization.
Treasure Data’s unveiling of its AI Framework represents a significant advancement in the customer data platform landscape, combining data intelligence with AI-driven capabilities that streamline marketing, analytics, and customer engagement processes. By offering tools like the AI Marketing Copilot, AI Email Studio, and customizable AI solutions, Treasure Data empowers organizations to make smarter, faster, and more personalized decisions. With its commitment to continually enhancing the CDP experience, Treasure Data remains at the forefront of how enterprises can harness AI to transform customer data into a powerful asset for growth and innovation.
By integrating these AI-driven tools within its CDP, Treasure Data meets the current needs of data-driven enterprises and sets a new standard for the future of customer data platforms. As businesses look to AI for a competitive edge, Treasure Data’s CDP-native AI Framework provides a path forward, bridging data and AI to make insights accessible, actionable, and valuable across organizations.
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