Jul 11, 2023 | San Diego

Innovation on Teradata’s cloud-native platform makes deployments simpler and extra versatile, with end-to-end help for enterprise-scale AI/ML, together with generative AI

Teradata (NYSE: TDC) right now introduced it is going to provide Teradata VantageCloud Lake on Microsoft Azure, opening up new markets, new capabilities, and new use instances. This makes Teradata’s trendy cloud-native structure, and strong analytics capabilities in ClearScape Analytics, out there to prospects excited about utilizing harmonized information and trusted AI to drive quicker innovation.

ClearScape Analytics, a strong, open, and linked analytics framework that’s included with VantageCloud Lake on Azure, is enhanced by integration with Microsoft providers reminiscent of Azure Machine Studying (ML). This implies VantageCloud Lake on Azure is designed to dramatically improve the power of mutual prospects to deploy and handle AI/ML, together with generative AI, inside their companies right now.

The arrival of generative AI has ignited a race to make use of the expertise in organizations of all sizes. IDC not too long ago surveyed CIOs, CDOs, and CFOs, and located that greater than half count on vital stress to make use of generative AI capabilities within the subsequent six to 12 months. In reality, almost 95% count on to really feel a minimum of some stress to implement and/or use generative AI.*

“Generative AI and huge language fashions (LLMs) are set to essentially remodel each business, dramatically amplifying what folks can obtain,” mentioned Hillary Ashton, Chief Product Officer at Teradata. “Teradata and Microsoft are among the many main firms with the experience and revolutionary expertise to assist organizations get forward of this chance and make vital enhancements throughout enterprise efficiency and buyer experiences. VantageCloud Lake on Azure gives the spine to ship trusted AI and ML throughout your complete enterprise.” 

VantageCloud Lake on Azure

With the provision of VantageCloud Lake on Azure, Teradata and Microsoft prospects will profit from trendy cloud-native structure, together with the complete separation of compute and storage, in addition to unbiased, elastic, and multi-cluster compute – all towards Azure Knowledge Lake Storage. This cost-effective, dynamically scalable answer with self-service provisioning permits Azure prospects to execute a big selection of analytic workloads (together with AI/ML) at scale, with harmonized information throughout the enterprise.  

Prospects can reap the benefits of Teradata’s new cloud-native structure to extra simply modernize their workloads and functions, at their very own tempo. This course of minimizes threat and accelerates time-to-value with the quickest, most effective cloud migration to Azure. 

VantageCloud Lake on Azure prospects even have entry to an unique excessive availability functionality that makes use of a key Azure characteristic to extend cloud availability. By providing optimized system sizes within the new providing, prospects can see will increase in total uptime.  

Strong Analytics for AI, ML and Generative AI 

Enterprises face main hurdles in driving innovation with new AI/ML use instances. One of many greatest is delivering impactful outcomes, when transferring analytics from POCs to manufacturing takes too lengthy or doesn’t occur in any respect. To beat these challenges, Teradata’s ClearScape Analytics and Microsoft Azure ML provide some of the strong analytic capabilities for end-to-end analytic pipelines, together with information preparation, mannequin coaching, and operationalizing at scale. Companies can obtain higher outcomes utilizing information from VantageCloud Lake along side the facility of ClearScape Analytics and Azure ML – not just for activating analytics throughout the enterprise, but additionally in new generative AI use instances. 

“We’re combining Teradata VantageCloud and ClearScape Analytics with Azure’s machine studying potential to simplify and speed up the ML lifecycle,” mentioned Erin Chapple, Company Vice President, Azure Core Product and Design at Microsoft Corp. “The options guarantee prospects can execute complicated analytics on large information units and incorporate their most popular information science instruments like Azure ML. This helps prospects unlock the potential of their AI/ML investments as they deploy subtle fashions, together with generative fashions, in manufacturing, quicker and with confidence.” 

Most firms are simply starting to discover how generative AI can drive worth and enterprise outcomes. Teradata has already helped a number of enterprises reap the benefits of generative AI through the use of Azure ML to coach giant language fashions, bringing these fashions into Teradata for real-time scoring after which scaling the fashions for enterprise wants. By way of ClearScape Analytics, VantageCloud Lake on Azure makes it potential for organizations to start utilizing generative AI to take advantage of their information, right now.  

Availability

Teradata VantageCloud Lake on Azure with ClearScape Analytics is accessible worldwide right now.

*Supply: IDC Govt Preview, sponsored by Teradata, The Prospects and Realities of Generative AI, doc #US5015023, July 2023