{"id":760019,"date":"2023-05-23T09:04:35","date_gmt":"2023-05-23T13:04:35","guid":{"rendered":"https:\/\/www.marketnewsdesk.com\/index.php\/teradata-and-dataiku-strengthen-integration-to-deliver-ai-at-scale\/"},"modified":"2023-05-23T09:04:35","modified_gmt":"2023-05-23T13:04:35","slug":"teradata-and-dataiku-strengthen-integration-to-deliver-ai-at-scale","status":"publish","type":"post","link":"https:\/\/www.marketnewsdesk.com\/index.php\/teradata-and-dataiku-strengthen-integration-to-deliver-ai-at-scale\/","title":{"rendered":"Teradata and Dataiku Strengthen Integration to Deliver AI at Scale"},"content":{"rendered":"

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Teradata and Dataiku Strengthen Integration to Deliver AI at Scale<\/b><\/p>\n

New ClearScape Analytics capabilities give enterprises the ability to accelerate Artificial Intelligence (AI) initiatives with Dataiku models<\/i><\/p>\n

SAN DIEGO–(BUSINESS WIRE<\/a>)–Teradata<\/a> (NYSE: TDC<\/a>) today announced new ClearScape Analytics capabilities which are designed to allow enterprise customers to import and operationalize Dataiku AI models inside the Vantage analytics and data platform. With these new capabilities, Teradata expects to integrate and operationalize Dataiku models at scale. This combination of Dataiku and Teradata\u2019s ClearScape Analytics empowers customers to accelerate digital transformations and deliver AI-led business value.<\/p>\n

\nMany AI projects end up in a proof-of-concept graveyard, thanks to a myriad of challenges that prevent organizations from realizing ROI from their AI investments. All enterprises that work with data for AI\/ML need to prepare, train, and deploy their AI models. But data scientists are spending almost 80% of their AI project<\/a> time simply preparing the data, driving an approximate five-month lag time in deploying AI models into production. \u201cOn average, 54% of AI projects make it from pilot to production\u201d, according to Gartner\u00ae, Inc., \u201cGartner Survey Reveals 80% of Executives Think Automation Can Be Applied to Any Business Decision,\u201d August 22, 2022. This leads to a wide range of businesses struggling to realize their AI promise.<\/p>\n

\nThe collaboration between Teradata and Dataiku intends to solve these challenges with an all-in-one solution that enables users, of any skillset, to prepare, train, and operationalize AI models at scale. Using Dataiku\u2019s intuitive front-end user-interface and no-code functionality with Teradata Vantage\u2019s advanced analytics capabilities, ClearScape Analytics, customers are enabled to put more AI models into production, faster, and to rapidly scale the usage of those models across an organization.<\/p>\n

\n\u201cAI is no longer optional for businesses that want to compete \u2013 and win \u2013 in today\u2019s marketplace,\u201d said Hillary Ashton, Chief Product Officer at Teradata. \u201cTo get ahead of the pack, businesses need AI partners that are knowledgeable, reliable and trusted throughout the entire AI lifecycle. Teradata\u2019s long-standing relationship with Dataiku provides that support, from start to finish. Whether users are data scientists or non-technical, our continued alignment gives everybody the power to develop an AI model with speed and scalability \u2013 all in one place.\u201d<\/p>\n

\nWith Teradata Vantage, ClearScape Analytics, and Dataiku, more users will have access to advanced analytics through a single unified platform – accelerating innovation and allowing for AI operationalization at scale. The most influential new features to this integration include:<\/p>\n