Solve Complex Problems with Data Science and ML with TIBCO
Blog: The Tibco Blog
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The reach of data science is expanding across every industry. That means no matter what industry or line of business you’re in, you need to consider which data science platform can best help you leverage your data to make better business decisions.
We’re thrilled that Gartner named TIBCO Software a Leader in the 2020 Gartner Magic Quadrant for Data Science and Machine Learning Platforms for the second year in a row.
We believe this report shows how TIBCO helps customers solve their biggest business challenges with data science and machine learning. TIBCO supports this success by enabling the following imperatives:
Make Data Science a Team Sport
To democratize, collaborate, and operationalize data science and machine learning (ML) across your entire organization, you need to make data science a team sport. TIBCO can help empower everyone from data scientists and citizen data scientists to data engineers to business users to developers with flexible and extensible tools. By supporting the end-to-end analytics lifecycle, as well as security and governance, TIBCO allows teams to turn predictive findings into optimal business outcomes.
Enable Innovation with Open Source
For data science and ML, customers often look to open-source frameworks, ecosystems, algorithms, and programming languages to create innovative solutions for their most vexing problems. The challenge arises when customers need to work across cloud providers, different languages, and ecosystems like Amazon SageMaker, Google TensorFlow, and Microsoft AzureML. TIBCO solves this problem and enables customers to orchestrate the complexity and seamlessly work across these environments from a consolidated platform. Therefore, TIBCO’s platform allows customers to innovate faster and gain a competitive advantage.
Perform Analytics in Real Time
As data volumes continue to increase, just providing access to data and algorithms is no longer enough. Organizations cannot afford to wait to ship all data back to enterprise systems for analysis. Instead, they should employ the Internet of Things (IoT) and edge analytics to perform analyses in real time. TIBCO has a unique strength in the IoT space with capabilities for ML on the edge and real-time streaming analytics.
We believe our customers’ success in data science and machine learning speaks for itself. See how companies like Xactly, ZPower, and Hemlock Semiconductor have used TIBCO to innovate and solve complex problems faster—and how you can do the same.
Download a complimentary copy of the report here.
Learn more about how TIBCO® Data Science can help you promote collaboration, automation, and the reuse of analytic workflows to solve your most complex business problems—whatever your industry.
This graphic was published by Gartner, Inc. as part of a larger research document and should be evaluated in the context of the entire document. The Gartner document is available upon request from TIBCO Software.
Gartner does not endorse any vendor, product or service depicted in its research publications, and does not advise technology users to select only those vendors with the highest ratings or other designation. Gartner research publications consist of the opinions of Gartner’s research organization and should not be construed as statements of fact. Gartner disclaims all warranties, expressed or implied, with respect to this research, including any warranties of merchantability or fitness for a particular purpose.
(Gartner 2020 Magic Quadrant for Data Science and Machine Learning Platforms, February 13th, 2020, Peter Krensky, Pieter den Hamer, Erick Brethenoux, Jim Hare, Carlie Idoine, Alexander Linden, Svetlana Sicular and Farhan Choudhary)
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