Spotfire integration with TERR/Python allows for the creation of end-to-end analytics. TIBCO Spotfire Automation Services allows for alerting, pre-loading, and scheduling of reports. TIBCO competes in a market that includes Microsoft, IBM, Informatica, Oracle, Denodo, SAP, Amazon Web Services (AWS), Talend, and several more, according to Gartner Research.In 2021 Gartner Magic Quadrant for BI platform places TIBCO Software in visionary space. Users are able to deploy in the cloud or on-premises, he said. ModelOps allows any authorized business user, data scientist, analyst or IT user to manage and deploy thousands of models in production with complete governance and management capabilities. “This is the right platform to scale our data science efforts with a more governed, process-oriented approach to data science operationalization.”Ī recent survey of its customers confirmed to TIBCO that it’s no longer uncommon for organizations to manage hundreds – even thousands – of analytic models and workflows, Palmer said. “The ability to quickly deploy, measure, and adjust models of any kind – machine learning models, python code, rules and more – is essential to our success,” InSoo Ryu, technical leader, SK Hynix said in a media advisory. ModelOps fits right in for the company’s users to add governed models to other TIBCO tools, including Spotfire, Data Virtualization and Streaming, Palmer said. This is a bold step to enabling business users to take AI out of the lab and out on the road.” This allows decision-making teams to choose the algorithm they want, work from any cloud service, and run it safely, securely, and at scale. “We’ve designed a system that puts self-service access to data science firmly in the hands of teams, including business users. “While 92% of firms spent more overall on data science in 2021 compared to previous years, only 12.1% deployed it at scale,” Palmer said. The open-standards platform enables businesses to deploy and manage model pipelines directly into production environments, Palmer said. This aids AI teams in confronting common deployment hurdles, such as applying analytics to applications, identification and mitigation of bias, and transparency and manageability of an algorithm’s behavior within business-critical applications. ModelOps addresses the need for speed in deploying AI and draws from 25-year-old TIBCO’s experience in data science, data visualization and business intelligence. Register for your free pass today.īuilding AI models that are effective can be time-consuming and tedious. Join today’s leading executives at the Low-Code/No-Code Summit virtually on November 9.
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