Aug 29, 2022 | San Diego

ClearScape Analytics operationalizes AI/ML at scale with probably the most sturdy in-database performance of any analytics providing at present to unravel organizations’ most advanced issues

ClearScape Analytics – which encompasses the identical high-performing analytics that Teradata is thought for however with 50+ new analytic features – is obtainable as a part of Teradata VantageCloud and the brand new Teradata VantageCloud Lake, additionally launched at present

Teradata (NYSE: TDC) at present introduced ClearScape Analytics, the considerably expanded and newly named analytics capabilities that span the complete suite of Vantage merchandise. Teradata Vantage’s industry-leading analytics have lengthy been the cornerstone of the platform’s enchantment to enterprise clients for its potential to speed up information insights and time to worth. With these new capabilities, Vantage clients can now reap the benefits of probably the most in-database analytic features wherever available in the market and important synthetic intelligence/machine studying (AI/ML) mannequin administration instruments (i.e., ModelOps) to satisfy the rising analytic calls for of their organizations.

These newly launched options elevate Teradata’s analytics capabilities even additional past opponents by introducing greater than 50 new in-database time collection and ML features, and built-in ModelOps which can be designed to quickly operationalize AI/ML initiatives. This new performance – together with the launch of Teradata VantageCloud Lake, Teradata’s first product based mostly on all-new, next-generation cloud-native structure, additionally introduced at present – is meant to offer clients the flexibility to activate huge quantities of knowledge and clear up advanced enterprise challenges with a sturdy library of open and linked analytics instruments designed to offer autonomy, ease of entry, and real-time insights.

“Information is barely as invaluable as its potential to be synthesized for actionable, real-world insights that drive higher outcomes,” mentioned Hillary Ashton, Chief Product Officer at Teradata. “Over its 40+ 12 months historical past, Teradata has been laser-focused on serving to clients extract probably the most worth from their information with persistently excessive efficiency, unmatched scalability, and a trove of analytic performance. With the launch of Teradata VantageCloud Lake and the supply of ClearScape Analytics throughout the VantageCloud platform, Teradata is constant its custom of listening to its clients and serving to them speed up their digital transformations by offering a knowledge platform that’s born within the cloud with end-to-end assist for superior analytics throughout the cloud ecosystem.”

ClearScape Analytics’ new in-database time collection features span the complete analytics lifecycle, from information transformation and statistical speculation checks, to characteristic engineering and machine studying modeling. As a result of these features are constructed into the database, they’re extremely performant and require restricted information motion. This may symbolize vital value and friction discount, significantly when a corporation desires to use time-series analytics on massive volumes of knowledge corresponding to hundreds of thousands of merchandise or billions of sensors. When the outcomes of those analytic features, corresponding to forecasts, are saved contained in the database, organizations can simply combine that with different information. For instance, a producer may combine a sensor anomaly detection rating with the placement of a machine and discover out the placement of a predicted failure, or a world retailer may combine forecast outcomes with worth to foretell income. 

Moreover, with ClearScape Analytics, advanced machine studying features might be simply built-in into analytic pipelines – a group of associated operations that go from information preparation all through modeling and deployment – however packaged collectively to deal with particular issues. For instance, a classification pipeline might be tweaked and tuned particularly for fraud detection that may go right into a monetary utility, or a time collection pipeline could be used for demand forecasting in a retail or manufacturing situation. And with ModelOps embedded into ClearScape Analytics, organizations will have the ability to shortly scale AI/ML initiatives to unlock the complete worth of their funding whereas mitigating danger. ModelOps performs a key position in mannequin governance and danger administration, which is able to turn out to be more and more essential as corporations ship extra fashions into manufacturing.

“Teradata’s complete analytics providing has lengthy helped organizations take advantage of use of their information, no matter the place it sits inside a corporation,” mentioned Dan Vesset, Group VP, analytics and knowledge administration market analysis at IDC. “Teradata’s continued funding on this space with ClearScape Analytics underscores its dedication to assist clients operationalize analytics and AI/ML at scale to unravel probably the most urgent enterprise challenges – from real-time buyer personalization to provide chain optimization —throughout all industries.”

ClearScape Analytics Particulars

The latest additions to ClearScape Analytics considerably increase the general capabilities of Teradata VantageCloud and are meant to ship worth at each stage of the analytics lifecycle.

Key advantages of ClearScape Analytics embody:

• Remedy extra advanced issues with newly added in-database analytics capabilities – *NEW*
  
  • Teradata’s lately expanded in-database analytics library consists of greater than 50 new time collection features in addition to a broad array of machine studying capabilities which can be designed to assist full end-to-end machine studying pipelines. These native features make it doable to course of machine studying at scale. Teradata VantageCloud is designed to not solely helps scaling huge quantities of knowledge, but additionally to allow bigger mannequin complexity, together with considerably extra mannequin variables, for deeper insights.

• Deploy fashions confidently with built-in ModelOps – *NEW*
  • Regardless of the numerous investments most organizations put into AI/ML, most predictive fashions are by no means applied into manufacturing. Teradata VantageCloud makes it simpler than ever to operationalize these investments utilizing its ruled ModelOps software which is designed to provide the framework to handle, deploy, monitor, and preserve analytic outcomes. Teradata VantageCloud ModelOps consists of capabilities corresponding to auditing datasets, code monitoring, mannequin approval workflows, monitoring mannequin efficiency, in addition to alerting when fashions turn out to be non-performing. ModelOps might be leveraged to schedule mannequin retraining as organizations drive in the direction of autonomous retraining based mostly on information drifts.

• Activate extra assets by permitting consultants to work with instruments of their selection – *ENHANCED*
  • With VantageCloud, information groups can use the languages and instruments of their selection (e.g., Dataiku, Python, H2O.ai, and so on.) which makes it simpler for companies to faucet into analytic expertise throughout the group. Fashions developed outdoors of Teradata VantageCloud might be imported immediately into Teradata VantageCloud to be run in parallel and at scale. As well as, integration with companies corresponding to Amazon SageMaker enable information science groups to faucet into the increasing array of knowledge science companies within the cloud.

• Drive extra collaboration and effectivity with the enterprise characteristic retailer – *ENHANCED*
  • Higher worth might be achieved when information groups work collaboratively throughout the group to drive enterprise outcomes. By leveraging Teradata’s characteristic retailer to foster collaboration and reuse fashions, organizations usually see a major discount within the quantity of effort spent on information preparation and have definition. This makes attempting out new concepts simpler, sooner, and cheaper.

Availability: ClearScape Analytics is obtainable at present.

Observe to Traders

This launch comprises forward-looking statements inside the that means of Part 21E of the Securities and Change Act of 1934. Ahead-looking statements usually relate to opinions, beliefs, and projections of anticipated future monetary and working efficiency, enterprise tendencies, liquidity, and market circumstances, amongst different issues. These forward-looking statements are based mostly upon present expectations and assumptions and sometimes might be recognized by phrases corresponding to “anticipate,” “try,” “wanting forward,” “outlook,” “steerage,” “forecast,” “anticipate,” “proceed,” “plan,” “estimate,” “imagine,” “will,” “would,” “probably,” “intend,” “potential,” “designed,” “can,” or comparable expressions. Ahead-looking statements contain dangers and uncertainties that might trigger precise outcomes to vary materially, together with these regarding: the quickly altering and intensely aggressive nature of the knowledge know-how {industry} and the information analytics enterprise; the well timed and profitable growth, manufacturing, availability, market acceptance, and/or efficiency of recent and present merchandise, product options and companies, together with Teradata VantageCloud Lake, Teradata VantageCloud Enterprise, and ClearScape Analytics; and different components described every so often in Teradata’s filings with the U.S. Securities and Change Fee, together with its most up-to-date annual report on Type 10-Okay, and subsequent quarterly experiences on Kinds 10-Q or present experiences on Kinds 8-Okay, in addition to Teradata’s annual report back to stockholders. Teradata doesn’t undertake any obligation to publicly replace or revise any forward-looking statements, whether or not on account of new info, future occasions or in any other case, besides as required by regulation.