As enterprises adapt to new technologies to manage large scale, complex and fragmented business units, tons of data continue to be generated. This data comes from various sources such as customer interaction, social media, sales cycles, business transactions and so forth. Enterprises are therefore weighed down by these massive amounts of data that can run… Continue reading Azure Databricks – Unified Approach for Managing Data and Machine Learning

Machine learning needs data and context to enhance and refine its predictions. With complex and large volumes of data, AI Machine Learning (ML) models get a larger playground to develop precision. One problem that may hinder this learning process is the lack of quality data in the production environment. Access to historical data and related… Continue reading Feature Store for AI – Should one Build or Buy?