Welcome to ICIDS 2025
Hello and welcome to ICIDS 2025 – where ideas converge and innovations shine! The 2nd International Conference on Innovations in Data Science (ICIDS) brings together a stellar lineup of R&D presentations from leading experts in the field. This conference is an excellent opportunity for researchers, practitioners, and industry professionals to explore new techniques, share insights, and discuss the latest advancements and trends in data science.
We are thrilled to host the ICIDS on November 27th and 28th, 2025, in the vibrant city of Jaipur, India. The event will be conducted in a hybrid mode: the first day (November 27th) will be held in physical mode, and the second day (November 28th) will be in digital mode.
We look forward to seeing you there!
Objective of ICIDS 2025
The objective of the 2nd edition of International Conference on Innovations in Data Science (ICIDS 2025) is to foster a dynamic environment where researchers, practitioners, and industry experts can collaboratively explore and discuss the forefront of data science innovations. Our goal is to:
1. Promote Knowledge Exchange: Facilitate the exchange of cutting-edge research, ideas, and practices in data science, providing a platform for presenting novel findings and innovative techniques.
2. Encourage Collaboration: Build networks among academia, industry, and practitioners to encourage collaboration on solving complex data science problems and advancing the field.
3. Highlight Advancements: Showcase the latest trends, tools, and technologies that are shaping the future of data science, from theoretical developments to practical applications.
4. Inspire Innovation: Inspire participants to think creatively and develop new approaches and solutions to the challenges faced in data science.
5. Support Professional Development: Provide opportunities for attendees to enhance their skills and knowledge through workshops, panel discussions, and keynote sessions led by distinguished experts.
ICIDS 2025 aims to be a landmark event that significantly contributes to the advancement of data science and fosters a global community dedicated to the field’s growth and innovation.