Retail industry generates 15 petabytes of data on a daily basis. The data consists of customer, transactional, store inventory and sensor, warehouse, and supply chain dynamic data including data from various devices and check point base stations. The challenge is no longer just the complexity of data but also the “order of magnitude” of data, data type, and data from disparate systems created over generations. Intelliswift offers a Data Engineering-As-A-Service solution to assess the maturity of the current state and assists in building the appropriate Data Engineering Platform for our customers.
Our AI/ML/NLU engine applies artificial intelligence and machine learning to analyze relevant named entity recognition patterns and extract fields of interest from template/format agnostic and multiple sources of dark data
Our Data Lake Framework helps you build, assess, and leverage data lake environments with outmost efficiency & enhanced data capabilitites, keeping the data trusted and secure all along.