Teradata Collaborates with Google Cloud on Enterprise-Scale Trusted AI Offerings that Accelerate Time-to-Value and ROI
Teradata announced the launch of Teradata VantageCloud Lake on Google Cloud, enhancing its cloud analytics and data platform for AI. The collaboration integrates Teradata's ClearScape Analytics with Google Cloud's Vertex AI platform and Gemini models, enabling enterprises to scale AI initiatives and power new generative AI use cases. This partnership aims to address common AI deployment challenges, offering seamless integration, security, and performance. Notably, ClearScape Analytics supports end-to-end AI/ML pipelines and generative AI with Gemini models, promising faster deployment and profitable growth. The new solutions are now generally available, with additional features slated for private preview in the first half of 2025.
- Teradata VantageCloud Lake on Google Cloud promises significant improvements in AI deployment and scaling capabilities.
- ClearScape Analytics integration with Google Cloud's Vertex AI platform offers seamless AI/ML model training and prediction on large datasets.
- The inclusion of Google Cloud's Gemini models enables advanced generative AI use cases, enriching customer experiences.
- The collaboration addresses critical AI deployment challenges, such as security, performance, and time-to-value.
- Some enhancements, particularly those involving Gemini models, will not be available until the first half of 2025, potentially delaying full benefits for users.
Teradata's collaboration with Google Cloud opens up significant opportunities for the company to enhance its service offerings and address a large market demand for AI solutions. By integrating VantageCloud Lake with Google Cloud’s advanced AI technologies, including Vertex AI and Gemini models, Teradata is strategically positioning itself to capture a larger share of the AI-driven data analytics market.
From a financial perspective, this partnership can potentially lead to increased revenue streams as more enterprises adopt these integrated solutions to leverage AI for their business operations. The scalability and performance enhancements promised by this collaboration can make Teradata's offerings more attractive to large enterprises, thus driving subscription growth and higher recurring revenues.
However, investors should be mindful of the competitive landscape. Major cloud providers like AWS and Azure are also investing heavily in AI and data analytics. Therefore, the long-term success of this collaboration will depend on how effectively Teradata and Google Cloud can differentiate their product and demonstrate superior performance and ROI for their customers.
The integration of ClearScape Analytics with Google Cloud's Vertex AI platform and Gemini models represents a significant technological advancement. This setup allows Teradata to offer a more comprehensive and efficient AI/ML pipeline, enabling organizations to train and predict models using data from VantageCloud Lake. The capability to process multimodal inputs (text, audio, images, video and code) through Gemini models can drive innovative use cases, especially in sectors like customer service where rich data inputs are essential.
For tech-savvy investors, the key here lies in the reduction of time and resources required to bring AI projects into production. This can result in faster deployment and quicker realization of AI benefits, making the combined platform an attractive proposition for enterprises looking to invest in AI. Moreover, the ability to provide highly performant vector stores for LLMs positions Teradata as a robust player in the AI space.
The announcement highlights Teradata's strategic push into the AI market in collaboration with a leading cloud provider. The emphasis on Trusted AI with features like security, transparency and performance aligns well with the growing need for responsible AI deployment across industries. This could enhance Teradata’s market positioning as a reliable and secure provider of AI solutions, which is important for gaining trust from large enterprises.
From a market perspective, the collaboration is timely given the increasing investment in AI by enterprises aiming to improve operational efficiency and customer experience. The potential to address common business challenges, such as analyzing customer complaints more effectively, can provide a tangible value proposition that resonates well with prospective clients.
However, market adoption will depend on how effectively Teradata can communicate these benefits and differentiate its offerings from competitors. The phased availability of certain features, such as the Gemini models integration in private preview in early 2025, suggests a gradual rollout, which may slow initial uptake but allows time for refinement and customer feedback incorporation.
Announces Teradata VantageCloud Lake on Google Cloud, with modern AI integrations between ClearScape Analytics, Google Cloud Vertex AI platform, and Google Cloud Gemini models
Despite its promise, many AI projects never make it into production and the ones that do require extensive time and 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.
“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 realize AI’s benefit,” said Hillary Ashton, Chief Product Officer at Teradata. “Our collaboration with Google Cloud reflects the deep commitment both companies have to helping organizations 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.”
ClearScape Analytics and Vertex AI platforms
ClearScape Analytics – the most powerful 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.
“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,” said Stephen Orban, VP, migrations, ISVs, and Marketplace at Google Cloud. “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.”
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 actionable 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.
About Teradata
At Teradata, we believe that people thrive when empowered with trusted information. We offer the most complete cloud analytics and data platform for AI. By delivering harmonized data and trusted AI, we enable more confident decision-making, unlock faster innovation, and drive the impactful business results organizations need most.
See how at Teradata.com.
The Teradata logo is a trademark, and Teradata is a registered trademark of Teradata Corporation and/or its affiliates in the
View source version on businesswire.com: https://www.businesswire.com/news/home/20240625987568/en/
Jennifer Donahue
jennifer.donahue@teradata.com
Source: Teradata
FAQ
What is Teradata VantageCloud Lake?
What are the key features of Teradata VantageCloud Lake on Google Cloud?
When will the enhancements with Gemini models be available?
How does the integration with Google Cloud Vertex AI platform benefit enterprises?
