Digital transformation trends have resulted in a data explosion across industries. Enterprises are increasingly leveraging Artificial Intelligence (AI) and Machine Learning (ML) to identify trends, harness insights based on data, and make critical business decisions to gain a competitive advantage in the market.
Even though the data deluge is starting to transform business and everyday life, data science today is extremely labor-intensive. Building and deploying scalable ML models requires expert data scientists who are very scarce and expensive. Most often, these data scientists spend the majority of their time on repetitive tasks. As a result, ML-driven business transformation projects often get delayed and value realization becomes a challenge.