AutoAI: Humans and machines better together

In recent years, data-driven decision making has become critical to the success of corporations. There are many benefits of using technology for data-driven practices including the optimization of production and manufacturing, reductions in customer attrition, reductions in data redundancy, increased profitability, and the creation of competitive advantage. So data science has become popular as organizations embrace data-driven decision-making approaches. Data scientists need a wide range of skills including mathematics and statistics, machine learning and artificial intelligence (AI), databases and cloud computing, and data visualization. However, it is difficult to recruit enough data scientists, particularly with sufficient domain knowledge, such as banking, healthcare, human resources, manufacturing, and telco, for the tasks to be performed and decisions to be made.