Teradata partners with Google Cloud to launch VantageCloud Lake

Teradata has announced that it will offer Teradata VantageCloud Lake on Google Cloud, featuring updates intended to merge Teradata VantageCloud Lake with Google Cloud to deliver Trusted artificial intelligence (AI). This new offering aims to provide customers with a modern data platform supporting a diverse range of AI applications, including scaling predictive AI and driving innovative generative AI use cases.

The key components of VantageCloud Lake include Teradata's ClearScape Analytics and a connected ecosystem integrating seamlessly with Google Cloud’s AI technologies, such as the Vertex AI platform and Gemini models. It is expected that this combination will furnish customers with the scalability, expertise, and technology necessary for executing various AI initiatives.

Hillary Ashton, Chief Product Officer at Teradata, commented on the partnership, stating, “Companies in every industry see significant business potential in AI and need modern cloud analytics, as well as a trusted data platform, to begin to realise AI's benefit. Our collaboration with Google Cloud reflects the deep commitment both companies have to helping organisations successfully and responsibly execute their business strategies using AI. VantageCloud Lake with Google Cloud, which comes with ClearScape Analytics and seamless integration of Google Cloud's AI services, is designed to allow customers to tackle challenges, seize big opportunities, and drive massive value with trusted AI.”

Despite the promise of AI, many projects fail to reach production due to the extensive time and resources required. The deployment of AI across enterprises increases the risk of losing control and oversight of intellectual property, leading to challenges in deriving value from AI investments. VantageCloud Lake aims to address these barriers by offering a platform where AI can scale cost-effectively with enhanced security, transparency, and performance.

ClearScape Analytics integrates with Google Cloud's fully-managed AI development platform, Vertex AI, to enable the training and prediction of models against data in VantageCloud Lake. This integration allows customers to execute complex analytics and AI/ML on massive data sets, using their preferred data science tools. It is designed to accelerate the deployment of sophisticated models into production with trust, facilitating profitable growth from AI/ML investments.

The integration also supports generative AI applications. Google Cloud’s Gemini models, a unique multimodal large language model (LLM), can process various inputs such as text, audio, images, video, and code. ClearScape Analytics’ open API can integrate with Gemini models' embedding API to store resulting vectors in VantageCloud Lake. This setup facilitates highly performant vector storage for the LLM and its integration with production data in VantageCloud Lake, fostering new generative AI use cases and enriching customer experiences.

Stephen Orban, VP, migrations, ISVs, and Marketplace at Google Cloud, said, “Our expanded partnership with Teradata brings the power of Google Cloud’s generative AI to Teradata VantageCloud Lake, empowering our joint customers to unlock new levels of innovation and efficiency. By seamlessly integrating Google’s cutting-edge AI technologies with Teradata’s data platform, we are enabling businesses to harness the full potential of their data and drive transformative outcomes with trusted AI.”

VantageCloud Lake’s applications include the Teradata Customer Complaint Analyzer, which uses Gemini models to provide a comprehensive view of customer complaints. This solution analyses text- and audio-based customer complaints more efficiently, helping organisations understand customer sentiment, identify trends accurately, and develop actionable insights that can enhance customer loyalty and drive business value.

The integration of Teradata VantageCloud Lake with Google Cloud is now generally available. The integration of ClearScape Analytics with the Vertex AI platform is also generally available, while enhancements with Gemini models are set to be available for private preview in the first half of 2025. This offering aims to deliver trusted data integrated across organisations, minimising data preparation time and accelerating the time-to-value for AI initiatives at scale, according to a statement.