Art In ARTificial Intelligence

How many times it happens that after developing a great Machine Learning model, we hear'Good Job', which is first followed by hurdles to deploy then ultimately leaving it as a'showcase model'. How many times we get Business Approval to pilot a model, but we face constraints related to systems or data which leaves us wanting. With current upsurge of Machine learning and new computing technologies, business are demanding deployments of analytics solutions rather than just focusing on showcase models. To bridge the gap, we can follow few easy steps during formulation of our machine learning model and take massive step forward for deploying the solutions. The whole journey of Analytics starts with defining what we are planning to achieve.