TL;DR:
- Teradata joins forces with Microsoft to introduce VantageCloud Lake on Microsoft Azure, offering expanded markets, capabilities, and use cases.
- VantageCloud Lake on Azure combines Teradata’s modern cloud-native architecture and ClearScape Analytics with Microsoft services like Azure Machine Learning (ML).
- The collaboration empowers mutual customers to deploy and manage AI/ML, including generative AI, at scale within their organizations.
- VantageCloud Lake on Azure provides modern cloud-native architecture, cost-effectiveness, scalability, and self-service provisioning for analytic workloads.
- Teradata’s ClearScape Analytics and Azure ML offer robust analytics for end-to-end pipelines, including data preparation, model training, and operationalization at scale.
- Customers can leverage generative AI capabilities to unlock the potential of their data and drive innovation across the enterprise.
Main AI News:
Teradata has announced its collaboration with Microsoft to offer Teradata VantageCloud Lake on Microsoft Azure, unlocking fresh market opportunities, advanced capabilities, and innovative use cases. This integration enables organizations to leverage Teradata’s cutting-edge cloud-native architecture and robust analytics capabilities through ClearScape Analytics, facilitating the utilization of harmonized data and trusted AI for accelerated innovation. By integrating with Microsoft services like Azure Machine Learning (ML), ClearScape Analytics, a powerful, open, and connected analytics framework bundled with VantageCloud Lake on Azure, significantly augments its potential. Consequently, VantageCloud Lake on Azure is designed to empower mutual customers with enhanced AI/ML deployment and management, including the adoption of generative AI, within their businesses today.
The advent of generative AI has sparked a race among organizations of all sizes to harness its potential. According to a recent survey conducted by IDC, over half of the CIOs, CDOs, and CFOs interviewed anticipate significant pressure to utilize generative AI capabilities within the next six to twelve months. Remarkably, nearly 95% of them expect to encounter some form of pressure to implement and/or adopt generative AI technologies.*
“Generative AI and large language models (LLMs) are poised to revolutionize every industry, significantly amplifying human capabilities,” stated Hillary Ashton, Chief Product Officer at Teradata. “Teradata and Microsoft are at the forefront, equipped with expertise and innovative technology to help organizations seize this opportunity and drive remarkable improvements in business performance and customer experiences. VantageCloud Lake on Azure serves as the foundation to deliver trusted AI and ML solutions across the entire enterprise.”
VantageCloud Lake on Azure
The introduction of VantageCloud Lake on Azure provides Teradata and Microsoft customers with the advantage of a modern cloud-native architecture, including complete separation of compute and storage, along with independent, elastic, and multi-cluster compute capabilities, all against Azure Data Lake Storage. This cost-effective and dynamically scalable solution, coupled with self-service provisioning, empowers Azure customers to execute a wide range of analytic workloads, including AI/ML, at scale, while maintaining harmonized data across the enterprise.
Teradata’s new cloud-native architecture allows customers to seamlessly modernize their workloads and applications at their own pace, minimizing risks and accelerating time-to-value by enabling the fastest and most efficient cloud migration to Azure.
VantageCloud Lake on Azure customers also gain access to an exclusive high availability feature that utilizes a key Azure component to enhance cloud availability. Additionally, by offering optimized system sizes within the new offering, customers can experience significant improvements in overall uptime.
Robust Analytics for AI, ML, and Generative AI
Enterprises face significant obstacles when attempting to drive innovation with new AI/ML use cases. One of the major challenges lies in achieving impactful outcomes, as the transition from proof of concept (POC) to production often takes too long or fails to materialize. To address these challenges, Teradata’s ClearScape Analytics and Microsoft Azure ML combine to offer a robust analytic capability for end-to-end analytic pipelines, encompassing data preparation, model training, and operationalization at scale. By leveraging data from VantageCloud Lake in conjunction with the power of ClearScape Analytics and Azure ML, businesses can achieve superior results not only by activating analytics throughout the enterprise but also by exploring new generative AI use cases.
“We are leveraging Teradata VantageCloud and ClearScape Analytics alongside Azure’s machine learning capabilities to streamline and expedite the ML lifecycle,” explained Erin Chapple, Corporate Vice President, Azure Core Product and Design at Microsoft Corp. “Our solutions ensure that customers can perform complex analytics on massive datasets and integrate their preferred data science tools such as Azure ML. This enables customers to unlock the full potential of their AI/ML investments, rapidly deploying sophisticated models, including generative models, into production with confidence.”
While most companies are just beginning to explore the value and business outcomes driven by generative AI, Teradata has already assisted several enterprises in harnessing the power of generative AI by leveraging Azure ML to train large language models. These models are then seamlessly integrated into Teradata for real-time scoring and further scaled to meet enterprise requirements. Through ClearScape Analytics, VantageCloud Lake on Azure enables organizations to embrace generative AI and leverage the full potential of their data starting today.
Teradata VantageCloud Lake on Azure with ClearScape Analytics is now available worldwide.
Conclusion:
The collaboration between Teradata and Microsoft to introduce VantageCloud Lake on Azure signifies a significant development in the market. This integration enables organizations to leverage cutting-edge cloud-native architecture, advanced analytics capabilities, and trusted AI/ML solutions. The availability of VantageCloud Lake on Azure empowers businesses to accelerate their AI-driven initiatives, unleash the potential of generative AI, and drive remarkable improvements in business performance and customer experiences. This collaboration demonstrates the commitment of both companies to provide innovative technology solutions that help organizations stay ahead in the race to harness the transformative power of AI and ML.
