Integrating Deep Learning, Machine Learning, AI, IoT and Data Science for Future Innovations

Machine Learning (ML), Deep Learning (DL), Internet of Things (IoT), Artificial Intelligence (AI) and Data Science are integrated to create innovative solutions that are powering industries today like never before. This paper reviews these technologies and how they can work together to transform industries like healthcare, finance, and manufacturing, as well as the immensely important space of smart cities. With ML and DL-driven analytics for predictions, IoT-based real-time data capture mechanisms, AI making informed decisions along data science generating insights from the data makes organizations efficient in every aspect as well as reliable and innovative. Some example applications are predictive maintenance in manufacturing, personalized medicine in healthcare, algorithmic trading in finance and the development of smart/sustainable urban environments. While these potboilers offer a hopeful advantage, they also come with some hurdles, data privacy/security, integration complexity and the need for high-end technical skills being the topmost. In this manuscript, some case studies of success are highlighted in the belonging field and discuss the challenges for incorporation today along with future directions for seamless integration aimed at promoting even greater innovation.