Traditional analytics methods have worked perfectly fine for the data-driven retail industry for decades. However, Artificial Intelligence (AI) and Machine Learning (ML) have established an entirely new level of data processing which leads to richer business insights and customer relations. Data scientists could open a new world of opportunities to business owners to extract correlations and
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Deploying applications have always been a source of struggles and challenges for development teams everywhere. Then, when you add loads of data and machine learning mechanisms to the mix, you have full-blown chaos at your hand. There is no well-built infrastructure or methodology that can simplify the development and deployment of data-intensive applications. Considering the importance of Machine
We live in a hyper-competitive era, in which change happens in the blink of an eye with new technologies, and at the heart of this is Artificial Intelligence (AI). Cutting-edge technologies like AI, predictive analytics, machine learning, and other digital disruptions are transforming the business models, processes, and customer experiences across every industry. Organizations increasingly find