Our approach to developing Machine Learning solutions combines multiple methodologies including CRISP-DM and CPMAI. The first step is focused on understanding business problems and objectives. From these, our talented team of ML engineers build the necessary pipeline for understanding the data in terms of value and quality. Basic insights and hypothesis are derived from the data. Modeling techniques are applied to the curated data and evaluated based on various metrics. Once the champion model is selected and deployed, results are provided through the customer's preferred channel.
ITTStar's team of ML engineers, data scientists and AI specialists have years of experience developing and delivering solutions leveraging multiple technologies, platforms and domains. Our solutions range from recommendation systems, forecasting models, intelligent bots, digital channel attribution models, to name a few.
Open & flexible engagement with unique data strategy
Start small approach with well defined success criteria
Easy transition from POC to full implementation
Impresari Inc, a premium luxury watch rental and trading company that had years of paper catalogs that needed to be digitized.
Verifacto, a leading provider of insurance tracking and risk management company wanted to enable their clients to better manage risk, collections and customer interactions using technology.
PredictSys is a leading AI/ML solutions provider for retailers and fashion brands.