Findability Sciences launches Muti-algorithmic Forecasting capabilities in its Platform
Offers flexibility to its Data Sciences Lab offering for supervised machine learning
By: Findability Sciences Inc.
While making this announcement, Suresh Shakkarwar, company's head of product development, said "This was a long due requirement from our customers and partners. In the rapidly changing environment of Data Sciences and AI, users prefer all the options under one umbrella to compare results from various options and chose the one best suited for their requirements"
With a wide range of algorithm choices, Findability Platform allows 'ensemble' or combining of algorithms to develop perfect forecasting models. For example, NNETAR may be deployed in combination with ARIMA to generate better forecasts. Therefore, depending on data and business problems, users can experiment with multiple algorithms and multiple sets of algorithms. Users can also test different combinations of input variables and fine-tune the hyper-parameters of forecast models to optimize results.
"This capacity, combined with our recently formed joint venture with Qlytics, offers tremendous opportunities for Citizen Data Scientists and seasoned Data Scientists at our customer organizations, to deploy supervised learning algorithms in a collaborative environment"
About Findability Sciences
Founded in 2010, Findability Sciences is an AI, Big Data, Cognitive Computing firm, headquartered in Woburn, MA, with subsidiaries in Canada, India and Japan. Our flagship product, the Findability Platform® is a supervised-learning advanced analytics product powered by proprietary technologies to deliver turnkey business solutions. A portfolio company of SoftBank Corp, Japan, we are part of the IBM Watson Partner Ecosystem.