TIBCO Software Inc., a global leader in enterprise data, empowers its customers to connect, unify, and confidently predict business outcomes, solving the world’s most complex data-driven challenges. Today, TIBCO announced a series of innovations to its Predict portfolio that reduce time to data-driven insights, fueling the pervasive use of analytics and data science capabilities. The product updates to TIBCO Spotfire®, TIBCO WebFOCUS®, TIBCO® Data Science, and TIBCO® Streaming create a critical link within the Hyperconverged Analytics experience, empowering organizations to better analyze data and predict their future.
“Organizations require insights at everyone’s fingertips, no matter where they are on their digital business journey,” said Mark Palmer, senior vice president, engineering, TIBCO. “We designed all our latest enhancements to be immersive, smart, and real time, with an ongoing mission to help everyone leverage the limitless power of data, yielding insights at the speed of thought.”
Enhancements to the TIBCO Predict portfolio include the following:
- TIBCO Spotfire: Spotfire® continues to unlock the developer community’s creativity to customize its immersive, smart, real-time analytics engine with the TIBCO Spotfire® Mods framework, which enables the community to add new, rich visualizations to Spotfire. Spotfire® Data Functions extend the Mods framework, offering data functions, AI, and data science capabilities, helping data scientists put “the algorithm behind the button.” Finally, the integration between Spotfire and TIBCO® ModelOps, coming soon, allows citizen data scientists to quickly and easily augment decision-making with no-code management of AI/ML models.
- TIBCO WebFOCUS: New cloud-native deployment capabilities add containerized deployment options and a managed cloud offering to support enterprise-wide scaling. In addition, the WebFOCUS® product upgrades provide users with enhanced authoring and assembly capabilities like filtering, styling, reporting, and app development in a single hub. This helps organizations find new ways to use AI/ML to augment data preparation, content creation, and collaboration.
- TIBCO Data Science: TIBCO Data Science adds a range of cloud data sources, along with TIBCO® Data Virtualization integration, Spotfire interoperability, AutoML augmentations, native Spark pipelines, and improvements in collaborative teams’ user experience.
- TIBCO Streaming: Continuous analytics provide real-time analytics, including patent-pending Dynamic Learning, available soon, which allows users to continuously learn and readjust predictions based on streaming data in real time. Streaming data connects to any streaming data, including no-code integration with TIBCO Cloud™Messaging and TIBCO Data Virtualization.
“Our state-of-the-art ENDEAVOUR AI platform drives smarter, better, and more effective healthcare in Singapore,” said Dr. Kee Yuan Ngiam, group chief technology officer, National University Health System. “Operationalization of AI and ML models is essential for ENDEAVOUR AI to benefit more healthcare providers and their patients. Using TIBCO, we hot-deploy, manage, and govern various models, such as Python, in addition to workflows. We are also very excited to be an early trialist of TIBCO ModelOps. We expect it will accelerate the deployment of safe and effective AI-informed processes in a more scalable, containerized way.”
The full list of announcements made during the TIBCO NOW™2021 Predict track shows TIBCO’s momentum in creating a comprehensive suite of analytics solutions, empowering users to turn data into insights.
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About TIBCO
TIBCO Software Inc. unlocks the potential of real-time data for making faster, smarter decisions. Our Connected Intelligence Platform seamlessly connects any application or data source; intelligently unifies data for greater access, trust, and control; and confidently predicts outcomes in real time and at scale. Learn how solutions to our customers’ most critical business challenges are made possible by TIBCO at www.tibco.com.
Author Information
As a detail-oriented researcher, Sherril is expert at discovering, gathering and compiling industry and market data to create clear, actionable market and competitive intelligence. With deep experience in market analysis and segmentation she is a consummate collaborator with strong communication skills adept at supporting and forming relationships with cross-functional teams in all levels of organizations.
She brings more than 20 years of experience in technology research and marketing; prior to her current role, she was a Research Analyst at Omdia, authoring market and ecosystem reports on Artificial Intelligence, Robotics, and User Interface technologies. Sherril was previously Manager of Market Research at Intrado Life and Safety, providing competitive analysis and intelligence, business development support, and analyst relations.
Sherril holds a Master of Business Administration in Marketing from University of Colorado, Boulder and a Bachelor of Arts in Psychology from Rutgers University.
