http://technology.eurekajournals.com/index.php/GJADSIT <p style="text-align: justify;">Global&nbsp;Journal on Application of Data Science and Internet of Things (GJADSIT) is Scholarly open access, high citation leading scientific journal. Now a days, it is seen that operations of today’s world become knowledge intensive and reliability of system became the top criterion for selection of particular system, therefore there is increase in demand for High quality novel research. Also, from industrial point of view, Continuity of&nbsp;Data Science and Internet of Things is the major factor for increases industrial production of finished goods. Therefore, the objective is to spread research work to mitigate problems of&nbsp;Data Science and Internet of Things arise during day to day operations around the world. The journal focused on fast peer review process of submitted paper to ensure accuracy, relevance of article and originality of paper.</p> <p style="text-align: justify;">Our journals are indexed in&nbsp;Google Scholar, International Institute of Organized Research (I2OR), Academic Keys,IIJIF,Cosmos Impact Factor, J-Gate.</p> Eureka Journals en-US Global Journal on Application of Data Science and Internet of Things [ISSN: 2581-4370 (online)] 2581-4370 http://technology.eurekajournals.com/index.php/GJADSIT/article/view/750 <p>Recent advances in data science have revolutionized the way we collect, analyze, and interpret data. This has been made possible through breakthroughs in machine learning, artificial intelligence, big data analytics, and data visualization techniques. These advancements have enabled us to process large volumes of data quickly and efficiently, uncover hidden patterns and insights, and make data-driven decisions with confidence. Some of the recent developments include the rise of deep learning, natural language processing, and reinforcement learning, which have transformed fields like image recognition, speech recognition, and game playing. Moreover, the advent of cloud computing and distributed computing has made it easier for businesses to leverage data science for their operations. As data science continues to evolve, we can expect further breakthroughs in areas like predictive modeling, causal inference, and automated machine learning. Overall, recent advances in data science have opened up new opportunities for innovation and discovery across industries and domains.</p> <p><strong>Keywords:</strong> Data Science, Artificial Intelligence, NLP, Deep Learning, Applications of Data Science.</p> Manuj Takkar Preet Deshwal Ojus Jaiswal Yuvraj Singh 7 1