Big data refers to the process of analyzing and extracting insights from large, complex, and diverse data sets using various tools and techniques. Big data analytics is a process of examining data to discover knowledge-based decisions and opportunities to understand potential for research and practice. It involves using various tools and techniques, such as data mining, machine learning, and statistical analysis, to identify patterns, trends, and relationships in the data. Big data analytics can help organizations make data-driven decisions, optimize their operations, and improve their research experience.

Big data analytics and artificial intelligence are two complementary technologies that are transforming various industries, including healthcare, finance, retail, and manufacturing. Many promising artificial intelligence techniques can be used for big data analytics, including representation learning, optimization, machine learning, deep learning, neural networks and natural language processing. Big data and artificial intelligence produce accurate and insightful decisions, predict future trends and behaviour, automate complex processes, and enhance customer engagement in various subfields, such as machine learning, natural language processing, computer vision, and robotics. artificial intelligence can be used to automate routine and repetitive tasks, improve the accuracy and speed of decision-making, and enhance the overall efficiency of business processes.

BDCC 2023 addresses the issues and challenges posed by data analytics and artificial intelligence problems and gives an overview of the future research opportunities. BDCC 2023 is open for high quality research contributions from wide range of professions including scholars, researchers, academics, and people from the industry. Papers of original research and reviews on the state of art will be accepted.