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Azure is growing significantly as a platform in the enterprise space and becoming the de-facto choice for retail analytics. This is particularly appealing to those customers who have large amounts of data which is growing quickly but may not need compute to scale at the same pace.
AI/ML-Based Automation & Integration: AI or ML (Machine Learning)- based algorithms help automate tasks such as datadiscovery, retrieval, structure recognition, and data analysis. Automating tasks facilitates data integration activities, helping your organization manage high volumes of complex data from disparate sources.
Retail and Wholesale are the next that are best represented. Amazon also provides data and analytics – in the form of product ratings, reviews, and suggestions – to ensure customers are choosing the right products at the point of transaction. Tradition BI has been a popular way for large businesses to launch their data analytics.
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