Global Big Data Conference

Machine learning has impressive capabilities in the enterprise, but with high-data requirements and struggles with explainability, it remains unable to reach widespread use. While machine learning has a variety of use cases and the capability of deep analysis it is not without limitations. With large data requirements coupled with challenges in transparency and explainability, getting the most out of machine learning can be difficult for organizations to achieve. Understanding these realities of machine learning and establishing realistic expectations is the only way to put your organization in a stronger position. Data is the core of machine learning. The very nature of machine learning is to train an algorithm on clean and prepared sample data.