Aug 29, 2022 | San Diego

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

ClearScape Analytics – which encompasses the identical high-performing analytics that Teradata is understood for however with 50+ new analytic features – is out there as a part of Teradata VantageCloud and the brand new Teradata VantageCloud Lake, additionally launched right this moment

Teradata (NYSE: TDC) right this moment introduced ClearScape Analytics, the considerably expanded and newly named analytics capabilities that span the whole suite of Vantage merchandise. Teradata Vantage’s industry-leading analytics have lengthy been the cornerstone of the platform’s attraction to enterprise clients for its potential to speed up knowledge insights and time to worth. With these new capabilities, Vantage clients can now make the most of probably the most in-database analytic features wherever available in the market and significant 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 sequence and ML features, and built-in ModelOps which are designed to quickly operationalize AI/ML initiatives. This new performance – together with the launch of Teradata VantageCloud Lake, Teradata’s first product primarily based on all-new, next-generation cloud-native structure, additionally introduced right this moment – is meant to supply clients the flexibility to activate huge quantities of information and resolve advanced enterprise challenges with a strong library of open and related analytics instruments designed to supply autonomy, ease of entry, and real-time insights.

“Information is simply as priceless as its potential to be synthesized for actionable, real-world insights that drive higher outcomes,” stated 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 knowledge with persistently excessive efficiency, unmatched scalability, and a trove of analytic performance. With the launch of Teradata VantageCloud Lake and the provision 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 an information platform that’s born within the cloud with end-to-end help for superior analytics throughout the cloud ecosystem.”

ClearScape Analytics’ new in-database time sequence features span the whole analytics lifecycle, from knowledge transformation and statistical speculation assessments, to function engineering and machine studying modeling. As a result of these features are constructed into the database, they’re extremely performant and require restricted knowledge motion. This will characterize important price and friction discount, significantly when a corporation needs to use time-series analytics on giant volumes of information resembling tens of millions of merchandise or billions of sensors. When the outcomes of those analytic features, resembling forecasts, are saved contained in the database, organizations can simply combine that with different knowledge. For instance, a producer might combine a sensor anomaly detection rating with the situation of a machine and discover out the situation of a predicted failure, or a worldwide retailer might combine forecast outcomes with value 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 knowledge preparation all over 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 sequence pipeline is likely to be used for demand forecasting in a retail or manufacturing situation. And with ModelOps embedded into ClearScape Analytics, organizations will be capable to shortly scale AI/ML initiatives to unlock the complete worth of their funding whereas mitigating threat. ModelOps performs a key position in mannequin governance and threat administration, which is able to turn into 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 knowledge, no matter the place it sits inside a corporation,” stated Dan Vesset, Group VP, analytics and data 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 current additions to ClearScape Analytics considerably develop the general capabilities of Teradata VantageCloud and are meant to ship worth at each stage of the analytics lifecycle.

Key advantages of ClearScape Analytics embrace:

• Resolve 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 sequence features in addition to a broad array of machine studying capabilities which are designed to help 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 information, but in addition 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 carried out into manufacturing. Teradata VantageCloud makes it simpler than ever to operationalize these investments utilizing its ruled ModelOps instrument which is designed to provide the framework to handle, deploy, monitor, and keep analytic outcomes. Teradata VantageCloud ModelOps consists of capabilities resembling auditing datasets, code monitoring, mannequin approval workflows, monitoring mannequin efficiency, in addition to alerting when fashions turn into non-performing. ModelOps might be leveraged to schedule mannequin retraining as organizations drive in the direction of autonomous retraining primarily based on knowledge drifts.

• Activate extra sources by permitting specialists to work with instruments of their alternative – *ENHANCED*

  • With VantageCloud, knowledge groups can use the languages and instruments of their alternative (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 straight into Teradata VantageCloud to be run in parallel and at scale. As well as, integration with companies resembling Amazon SageMaker enable knowledge science groups to faucet into the increasing array of information science companies within the cloud.

• Drive extra collaboration and effectivity with the enterprise function retailer – *ENHANCED*

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

Availability: ClearScape Analytics is out there right this moment.

Observe to Traders

This launch incorporates forward-looking statements inside the which means of Part 21E of the Securities and Trade Act of 1934. Ahead-looking statements usually relate to opinions, beliefs, and projections of anticipated future monetary and working efficiency, enterprise developments, liquidity, and market situations, amongst different issues. These forward-looking statements are primarily based upon present expectations and assumptions and sometimes might be recognized by phrases resembling “anticipate,” “attempt,” “wanting forward,” “outlook,” “steering,” “forecast,” “anticipate,” “proceed,” “plan,” “estimate,” “imagine,” “will,” “would,” “doubtless,” “intend,” “potential,” “designed,” “can,” or comparable expressions. Ahead-looking statements contain dangers and uncertainties that would trigger precise outcomes to vary materially, together with these referring to: the quickly altering and intensely aggressive nature of the data expertise {industry} and the information analytics enterprise; the well timed and profitable improvement, 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 now and then in Teradata’s filings with the U.S. Securities and Trade Fee, together with its most up-to-date annual report on Kind 10-Ok, and subsequent quarterly studies on Types 10-Q or present studies on Types 8-Ok, 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 because of new info, future occasions or in any other case, besides as required by regulation.