Tibco Spotfire BI platform gets an AI boost
Tibco Spotfire users will benefit from the enhanced cloud-native and augmented intelligence capabilities the vendor has added across its business intelligence products.
During its recent Tibco Now event in London, Tibco, founded in 1997 and based in Palo Alto, Calif., revealed new products, added features to existing products and upgraded connectivity capabilities, all with respect to cloud-native deployment and the credo of AI everywhere.
Tibco Mashery Local Developer Portal is now available as a fully cloud-native tool, and the company is seeking beta users for a new cloud-native metadata management service called Tibco Cloud Metadata. Tibco also introduced support for IoT-based machine-to-machine communication, and it rolled out an open source specification called CatalystML that will capture data transformations in real time.
Most important to customers of the Tibco BI platform, however, is a new interactive AI and machine learning capability within Spotfire that will allow users to find out the root causes behind specific data points with one click.
“I think their AI announcements are critical to delivering value and saving time to more folks within the business,” said Mike Leone, senior analyst at Enterprise Strategy Group, based in Milford, Mass. “It’s about incorporating tools and efficiencies that help everyone utilizing the technology, and it truly is about everyone.”
That includes data scientists, data architects, data stewards and the developers within an organization, according to Leone.
“Providing all of those roles with technology that is infused with AI will make their jobs easier, enabling them to add value to the business faster,” he said.
The motivation behind Tibco’s recent updates was to further the company’s aim of bringing data to insight as quickly and easily as possible, according to a company spokesperson.
Beyond the added AI capabilities, customers of the Tibco Spotfire platform will benefit from an enhancement to Tibco’s Data Science offering. Users will be able to call up models developed within Data Science but for Spotfire to help predict likely outcomes based on underlying data.
“The focus is on enabling non-data scientists to create and use predictive models with the assistance of automation features that iteratively test a range of algorithms and recommend best-fit models,” said Doug Henschen, vice president and principal analyst at Constellation Research. “[The] ‘runner’ for Spotfire is designed to simplify the use of machine learning and statistical models.
