
Predictive Analytics
About Predictive Analytics
(predictive) Models are learned from the historical data. This learning is not trivial nor an exact science. The historical data need to be explored to discover the underlying distributions in it. Assuming wrong statistical distribution leads to using wrong parameters and hence garbage-in-garbage-out. We master the art of exploratory data analysis and use combination of distributions which truly represent your data and then learn models using state-of-the art as well as our proprietary methods which yield minimum false positives. Model building is free of cost, we need only your desensitized data, and business understanding to generate efficient and accurate models in the cloud. Our very economical pricing starts once you are satisfied with the model (have tested it for some time and are ok with false positive rate)
Predictive Analytics Patents
Predictive Analytics has filed 1 patent.

Application Date | Grant Date | Title | Related Topics | Status |
---|---|---|---|---|
10/4/2012 | 5/3/2016 | Scanning probe microscopy, Wireless, Tires, Hydrology, Integrated circuits | Grant |
Application Date | 10/4/2012 |
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Grant Date | 5/3/2016 |
Title | |
Related Topics | Scanning probe microscopy, Wireless, Tires, Hydrology, Integrated circuits |
Status | Grant |
Latest Predictive Analytics News
Sep 24, 2023
Continuing Kynetec’s recent innovation stream, Interlytics is a new predictive analytics tool as part of their latest SaaS […] The post Navigating the Rapidly Evolving Crop Protection Sector With the Power of Predictive Analytics appeared first on Global Ag Tech Initiative.
Predictive Analytics Frequently Asked Questions (FAQ)
Who are Predictive Analytics's competitors?
Competitors of Predictive Analytics include AgilOne and 4 more.
Compare Predictive Analytics to Competitors

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SparkBeyond develops knowledge-enhanced predictive analytics tools. It builds smarter predictive models, by searching for the meaning of data. The firm is based in Israel.

Mu Sigma provides decision sciences and analytics services. It helps companies institutionalize data-driven decision-making, by integrating the disciplines of business, math, and technology in a sustainable global delivery model. Mu Sigma works with companies across multiple verticals, solving business problems in the areas of marketing, supply chain, and risk analytics. It was founded in 2004 and is based in Northbrook, Illinois.

Tiger Analytics is an analytics and AI consulting company that enables enterprises to generate business value through data. It is based in Santa Clara, California.

Quantiphi is an applied AI and machine learning software and services company focused on helping organizations translate data and machine learning technologies into quantifiable business impact.

Capgemini (Euronext: CAP) provides consulting, technology, and outsourcing services that enable clients to transform and perform through technologies. It offer services including application development, cloud services, digital customer experience, insights and data and more. The company was founded in 1967 and is based in Paris, France.