Octopai's metadata management solution uses machine learning to map the complex relationship of data across platforms, giving unprecedented visibility into data lineage
TEL AVIV, Israel, September 25, 2018 /PRNewswire/ --
Octopai, the leader in metadata management automation for BI, has been recognized in Gartner's September 2018 "Cool Vendors in Data Science and Machine Learning" report by analysts Peter Krensky, Svetlana Sicular, Jim Hare, Erick Brethenoux and Austin Kronz, as one of 5 Cool Vendors According to Gartner, "Data and analytics leaders should engage with vendors in areas such as data management, unstructured data analysis and model operationalization."
"We are very honored to be named a Gartner Cool Vendor for 2018," said Amnon Drori, Co-founder and CEO of Octopai. "The growing complexity of data management environments has created a need for modern and disruptive metadata management automation tools. We believe Octopai's inclusion in the Gartner report highlights this need."
According to the report, "as citizen data science, enabled by augmented analytics, dramatically increases the volume of models created, discipline in data management and operationalization becomes even more critical."
"Data and analytics leaders are seeking technologies with innovative approaches to ensuring the fundamentals of data science and machine learning. They are looking to both startups and megavendors to provide support for handling the tasks outside the flashier work of data scientists: data management, governance and machine learning operationalization."
Octopai's automation enables data and analytics leaders to centralize metadata for analytics, rationalize it and provide consistent data interpretations across multi-vendor environments. Octopai's technology solves the difficult problem of interpreting non-meaningful data names to create data trust even when third party data is involved, thereby enabling users to understand the data journey in seconds rather than the weeks or months it traditionally takes to manually reverse engineer such processes.
Octopai's SaaS solution is extremely simple to use and can be up and running within a day on AWS, Azure or a private cloud.
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Octopai is a centralized, cross-platform metadata management automation solution that enables data and analytics teams to quickly and precisely discover and govern shared metadata. Utilizing machine learning, Octopai automates metadata management dramatically increasing productivity and trust, shortening time to market, and reducing risks associated with erroneous data.
For more information please visit http://www.Octopai.com
GK for Octopai