Treasure Data, a leader in intelligent Customer Data Platform (CDPs) designed for large-scale enterprises, has announced a significant advancement in its AI Agent ecosystem. This expansion aims to empower global businesses to leverage generative AI with enhanced levels of trust, robust governance, and the scalability necessary for impactful operations. The new capabilities are powered by Amazon Bedrock, enabling organizations to deploy AI agents that deliver real-time personalization, automate marketing processes, and optimize customer experiences, all while being grounded in the comprehensive and precise customer data provided by Treasure Data’s Diamond Record.
Generative AI is rapidly transforming various industries by unlocking unprecedented levels of productivity, fostering personalization, and driving innovation. However, traditional, off-the-shelf AI solutions often fall short when it comes to meeting the stringent enterprise requirements for security, proper permissioning, and consistent data governance. Treasure Data’s enhanced AI Agent ecosystem is specifically engineered to bridge this gap, integrating the creative potential of generative AI with the inherent reliability and vast scale of a well-established CDP.
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Rafa Flores, Chief Product Officer at Treasure Data, emphasized that for their company, AI goes beyond mere content generation. He stated it’s about converting data into intelligent, secure, and actionable insights in real time. Flores highlighted that their AI agent ecosystem is purpose-built to deliver enterprise-grade AI that incorporates powerful capabilities with built-in governance from the very beginning. He noted that integrating with Amazon Bedrock allows for rapid development and deployment of agents, fine-tuned with enterprise data, without compromising trust or security. This ensures that customers can confidently embrace AI, knowing their decisions are underpinned by the most reliable, accurate, and real-time customer data available.
The core of this ecosystem is the Treasure Data AI Agent Foundry, which offers a flexible and secure environment. Here, marketing, customer experience (CX), and data teams can construct, refine, and deploy AI agents specifically tailored to their unique business needs. Each agent is meticulously designed for high-impact applications such such as orchestrating customer journeys, monitoring data health, mapping taxonomies, and optimizing campaigns, thereby eliminating guesswork and accelerating time to value. Security and compliance are also foundational, with integrated permissioning, auditability, and access controls that meet the rigorous demands of enterprise governance.
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The effectiveness of any AI heavily relies on the quality of the data it utilizes. Without accurate identity resolution, even the most advanced generative AI might falter. This is precisely why identity resolution lies at the heart of Treasure Data’s platform. Their Diamond Record serves as a persistent, real-time customer identifier that seamlessly connects every tool, channel, and data stream. This creates a unified, real-time customer profile, incorporating all interactions whether online, offline, known, or anonymous into a single, consistent view that can be embedded across the entire technology stack. This deep integration guarantees that every AI agent operates on the most precise and up-to-date information, effectively preventing AI hallucinations and consistently delivering tangible business results.
Amazon Bedrock significantly enhances the platform by providing Treasure Data customers access to a diverse array of top-tier foundation models from industry leaders like Anthropic, AI21 Labs, Cohere, and Amazon itself. The serverless and fully managed architecture of Amazon Bedrock facilitates swift development, fine-tuning, and deployment of these AI agents, all while maintaining enterprise-level reliability, security, and compliance.
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