Teradata announced that it will offer Teradata VantageCloud Lake on Google Cloud, featuring updates that are designed to leverage the strengths of both Teradata and Google Cloud to deliver Trusted AI with the expertise, scale, and technology that enterprises require. Key components of VantageCloud Lake ? the most complete cloud analytics and data platform for AI ?

are Teradata?s ClearScape Analytics and a connected ecosystem that, for the Google Cloud edition, includes seamless integrations with Google Cloud?s robust AI technologies, Vertex AI platform, and Gemini models. The combination is expected to offer customers a modern data platform that excels in multiple types of AI, from scaling predictive AI initiatives to powering new generative AI use cases. Despite its promise, many AI projects never make it into production and the ones that do require extensive time nd resources.

In addition, when AI is deployed across the enterprise, there is a greater risk of losing control and oversight of intellectual property (IP). As a result of these challenges, many organizations face a growing barrier to deriving value from AI and need the right technology and partners to cost-effectively scale AI with security, transparency, and performance. ClearScape Analytics and Vertex AI platforms: ClearScape Analytics ?

the most owerful engine for deploying end-to-end AI/ML pipelines ? and its open API integrates with Google Cloud's fully-managed, unified AI development platform, Vertex AI, providing the ability to train and predict models against data in VantageCloud Lake. Together, the solutions provide the ability for customers to execute complex analytics and AI/ML on massive data sets and incorporate preferred data science tools.

This enables customers to drive profitable growth from their AI/ML investments as they deploy sophisticated models into production faster and with trust. Generative AI with ClearScape Analytics and Gemini models: Most companies are already experimenting with how generative AI can drive value and business outcomes. Gemini models, Google Cloud?s unique multimodal large language model (LLM), can understand virtually any input: text, audio, images, video, and code.

ClearScape Analytics? open API integrates with the embedding API in Gemini models to store resulting vectors in VantageCloud Lake, providing a highly performant vector store for the LLM to join with production data in VantageCloud Lake. With this joint solution, organizations can power innovative new generative AI use cases and enrich customer experiences.

For example, the Teradata Customer Complaint Analyzer uses Gemini models to provide a richer and more comprehensive view of customer complaints. This joint solution can automatically categorize, analyze, and identify insights from text- and audio-based customer complaints more efficiently than traditional methods, which only analyze text. By analyzing call center audio recordings in addition to text, organizations can better understand customer sentiment, identify trends more accurately, and ultimately develop ctionable insights that can improve customer loyalty and drive business value.

This is just one of many use cases that Teradata and Google Cloud support and represents a common need that is an easy starting point for many organizations to build generative AI into their business applications. VantageCloud Lake on Google Cloud: Underpinning all of this innovation is the extension of Teradata?s cloud-native VantageCloud Lake solution to Google Cloud. With this new offering, organizations can deliver trusted data that's seamlessly integrated and harmonized across an organization.

This provides a reliable, well-governed, and cost-effective foundation to minimize data prep time and accelerate time-to-value for AI initiatives at scale. Availability: Teradata VantageCloud Lake on Google Cloud is now generally available. ClearScape Analytics integration with Vertex AI platform is now generally available, and the solution?s enhancements with Gemini models will be available for private preview in the first half of 2025.