{"id":786216,"date":"2023-09-26T14:12:45","date_gmt":"2023-09-26T18:12:45","guid":{"rendered":"https:\/\/www.marketnewsdesk.com\/index.php\/teradata-helps-customers-accelerate-ai-led-initiatives-with-new-modelops-capabilities-in-clearscape-analytics\/"},"modified":"2023-09-26T14:12:45","modified_gmt":"2023-09-26T18:12:45","slug":"teradata-helps-customers-accelerate-ai-led-initiatives-with-new-modelops-capabilities-in-clearscape-analytics","status":"publish","type":"post","link":"https:\/\/www.marketnewsdesk.com\/index.php\/teradata-helps-customers-accelerate-ai-led-initiatives-with-new-modelops-capabilities-in-clearscape-analytics\/","title":{"rendered":"Teradata Helps Customers Accelerate AI-led Initiatives with New ModelOps Capabilities in ClearScape Analytics"},"content":{"rendered":"

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Teradata Helps Customers Accelerate AI-led Initiatives with New ModelOps Capabilities in ClearScape Analytics<\/b><\/p>\n

New capabilities simplify the AI model deployment journey and ensure trusted AI<\/i><\/p>\n

SAN DIEGO–(BUSINESS WIRE<\/a>)–Teradata<\/a> (NYSE: TDC<\/a>) today announced new enhancements to its leading AI\/ML (artificial intelligence\/machine learning) model management software in ClearScape Analytics (e.g., ModelOps) to meet the growing demand from organizations across the globe for advanced analytics and AI. These new features \u2013 including \u201cno code\u201d capabilities, as well as robust new governance and AI \u201cexplainability\u201d controls \u2013 enable businesses to accelerate, scale, and optimize AI\/ML deployments to quickly generate business value from their AI investments.<\/p>\n

\nDeploying AI models into production is notoriously challenging. A recent O’Reilly’s survey on AI adoption<\/a> in the enterprise found that only 26% of respondents currently have models deployed in production, with many companies stating they have yet to see a return on their AI investments. This is compounded by the recent excitement around generative AI and the pressure many executives are under<\/a> to implement it within their organization, according to a recent survey by IDC, sponsored by Teradata.<\/p>\n

\nModelOps in ClearScape Analytics makes it easier than ever to operationalize AI investments by addressing many of the key challenges that arise when moving from model development to deployment in production: end-to-end model lifecycle management, automated deployment, governance for trusted AI, and model monitoring. The governed ModelOps capability is designed to supply the framework to manage, deploy, monitor, and maintain analytic outcomes. It includes capabilities like auditing datasets, code tracking, model approval workflows, monitoring model performance, and alerting when models are not performing well.<\/p>\n

\n\u201cWe stand on the precipice of a new AI-driven era, which promises to usher in frontiers of creativity, productivity, and innovation. Teradata is uniquely positioned to help businesses take advantage of advanced analytics, AI, and especially generative AI, to solve the most complex challenges and create massive enterprise business value,\u201d said Hillary Ashton, Chief Product Officer at Teradata. \u201cWe offer the most complete cloud analytics and data platform for AI. And with our enhanced ModelOps capabilities, we are enabling organizations to cost effectively operationalize and scale trusted AI through robust governance and automated lifecycle management, while encouraging rapid AI innovation via our open and connected ecosystem. Teradata is also the most cost-effective, with proven performance and flexibility to innovate faster, enrich customer experiences, and deliver value.\u201d<\/p>\n

New capabilities and enhancements to ModelOps include:<\/b><\/p>\n