This is a tentative agenda not finalized yet, if you have any topic related in your mind, we are happy to add that topic and proposal of your talk.
Data Science Fundamentals & Applications
Introduction to the event and overview of the topics
Data Science & Technology
Explore the intersection of data science and technology, including its evolution and future trends.
Applications of Data Science
Discuss real-world applications of data science across various industries and sectors.
AI & Machine Learning
Insights into the fundamentals of AI and machine learning, including algorithms and methodologies.
Coffee Break
Generative AI and ChatGPT
Understanding generative AI models and their applications, particularly in natural language processing.
AI Ethics
Addressing the ethical implications of AI technologies, including bias, privacy, and accountability.
Data Visualization & Data Analytics
The importance of data visualization in analytics and decision-making processes.
Big Data & Analytics
Understanding big data technologies and their impact on data analysis and business intelligence.
Closing Remarks
Summary of the day's discussions and a preview of the next day.
Advanced Techniques & Technologies
An introduction to neuromorphic computing and its implications for AI and machine learning.
Deep Learning
A deep dive into deep learning architectures and their applications in various domains
Reinforcement Learning
Understanding reinforcement learning concepts and their use in developing intelligent systems.
Lunch Break
Predictive Analytics
Techniques for making predictions based on data analysis and modeling.
Research Frontiers
Latest advancements and emerging trends in data science research.
Quantum Computing
An exploration of quantum computing and its potential impact on data science and AI.
Neuroinformatics
Understanding the integration of neuroscience and data science.
Closing Remarks
Summary of the day's insights and preparation for the final day
Future Directions in Data Science
A recap of AI and machine learning advancements and their future trajectories.
Human-Computer Interaction
Discussing the importance of HCI in enhancing user experience in data-driven applications.
Advanced Analytics
Exploring advanced analytics techniques and tools.
Lunch Break
Bayesian Analysis
Understanding Bayesian methods and their applications in data science.
Data Integration via AI Techniques
Discussing methodologies for integrating data using AI.
Closing Panel Discussion
A panel discussion with industry experts on the future of data science and AI.
Networking Session
An opportunity for attendees to network and discuss insights from the event.
Final Remarks & Conclusion
Wrapping up the event with key takeaways and acknowledgments.
