The Internet of things (IoT) is a system of interconnected computing devices, objects such as machine, animals or people that are provided with unique identifiers with the ability to transfer data over a network. Computing is being transformed to a model consisting of services that are commoditized and delivered in a manner similar to utilities such as water, electricity, gas, telephony, etc. In such a model, users access services based on their requirements without regard to where the services are hosted. Several computing paradigms have promised to deliver this utility-computing vision. Computing has emerged as one of the buzzwords in the IT industry and turned the vision of “computing utilities” into a reality. Several IT vendors have started offering computation, storage, and application hosting services, and provide coverage in several continents, supporting Service-Level Agreements (SLA) backed performance and uptime promises for their services. It leads to generates huge numbers of structure and unstructured data. Therefore, Enterprise and Big-Data applications need tools and platforms for their rapid construction and deployment on Clouds on-demand meeting user QoS requirements at lower price. This also helps in automation of the system in industry through Science and Technology and Engineering like; Instrumentation, IT, Mechatronic, Telecommunication, Electrical, among few others. However, by and large, companies fail to systematically collect, store, analyze and use such data to improve process efficiency or meet other goals. So, these data sets need to be analyzed using Machine learning concept that has experienced a boost in popularity among both academia and industry. This conference aims at providing an opportunity and platform to present and discuss recent advances in the field of IoT, Machine learning and Big data independently and also as a confluence of ideas.