SAN JOSE, CA — (Marketwired) — 02/12/15 — ®, the leader in enterprise machine learning on big data, today announced Skytree Infinity 15.1 to make machine learning accessible to more users and increase the productivity of data scientists. Skytree Infinity 15.1 pairs its high performance, scalable and highly accurate machine learning algorithms with increased automation and ease of use to save data scientists time and effort, making machine learning much easier for enterprises to adopt.
“The model creation process is often described as a black art. At best, it is a slow, tedious and inefficient process, which ultimately compromises model accuracy and delivers sub-optimal results. This is all exacerbated when the data sets are massive. Skytree Infinity 15.1 automates key data science tasks, significantly increases the productivity and ultimately improves the results that come from the work of data scientists,” said Dr. Alexander Gray, co-founder and chief technology officer at Skytree.
Skytree Infinity 15.1 represents major advancements in state-of-the-art automation to accelerate the data science process. Skytree–s patent pending AutoModel automatically determines optimal parameters and algorithms for maximum model accuracy, typically saving data scientists– weeks to months of manual work. Combined with Skytree–s one-step process to train, tune and test models, the time and complexity required to build models is reduced even further. The latest version also delivers the data transformations used most by data scientists when building machine learning models, significantly cutting down the time and effort needed for data preparation on big data.
The latest release introduces a unified, project-based data scientist workspace to visually prepare, build, deploy and manage models. The unified workspace increases advanced analytics adoption and makes machine learning accessible to a broader audience. The project-based approach allows users to easily manage data, activities and models used to build models.
Skytree Infinity 15.1 also improves model management and governance with self-documenting models, which includes a full audit trail. Models generated by Skytree 15.1 automatically document all datasets, transformations, algorithms and results, which are displayed in an easy to understand visual format. Additionally, all changes are tracked, creating a full audit trail, including what changes were made, when and by whom. This level of model management and governance is critical for data science teams working in enterprises of all sizes, including regulated industries.
“Machine learning represents the next stage in data intelligence. Companies, like ours, working to achieve competitive advantage through big data require an enterprise class platform capable of gleaning actionable predictive insights from large, complex data sets. Skytree is addressing that need by making machine learning more accessible to data scientists that work at the core to deriving value from data,” said Philip Bermingham, senior manager, data and analytics at Brookfield RPS.
Skytree is actively working with customers in key industries, including financial services, telecommunications, retail, technology and government to provide support in business-critical functions such as fraud detection, churn prevention, risk analysis, predictive maintenance, network analytics, targeting and recommendations.
“While many companies are diving into the world of big data, few are yet able to harness the full power of machine learning to spot subtle or complex patterns in their data. Skytree excels in this area, making data scientists far more efficient in their efforts, and therefore enabling speedier development of more sophisticated analytics applications,” said Nik Rouda, senior analyst at Enterprise Strategy Group.
To learn more about Skytree Infinity 15.1, please visit:
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® — The leader in enterprise machine learning on big data, is disrupting the advanced analytics market with a machine learning platform that gives organizations the power to discover deep analytic insights, predict future trends, make recommendations and reveal untapped markets and customers. Advanced analytics is quickly becoming a strategic technology in the age of Big Data. Backed by investments from US Venture Partners, Javelin Venture Partners, Samsung, UPS and In-Q-Tel, and partnered with leading big data players including Cloudera, Hortonworks and MapR, Skytree is at the forefront with enterprise-grade machine learning.
Nolan Necoechea
LEWIS PR for Skytree
415.432.2452
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