Conference Theme: Creating Tomorrow’s World: Generative AI, Advanced Machine Learning and Data Visualization Unleashed
Tracks:
Keynote: Keynote proposals for this summit should be engaging. The keynote should set the tone for the day and inspire attendees to Create Tomorrow’s World: through Generative AI, Advanced Machine Learning and Data Visualization. Attendees should leave the Keynote stimulated to spend the day delving deeper into the sessions and tracks of the conference. The Keynote presentation should set the tone for a day of focus on the tracks of the summit.
Track 1: Case Studies and Practical Applications: Proposals should provide case studies and real-world examples of how organizations are leveraging these technologies to drive innovation, reduce costs, and predict future trends. This includes Practical, Applied Use Cases in Government, Business, Healthcare, Education, Advance Agriculture, and/or Advanced Manufacturing
Track 2: Generative AI and Machine Learning: Proposals should demonstrate the power of machines not just learning, but creating. From artistic endeavors to problem-solving, diving into the frontiers of Generative AI and demonstrating the impact on industries and human creativity. Technological trends and insights into the latest developments in Generative AI, Advanced Machine Learning, and Data Visualization. This includes Generative AI, Artificial Intelligence, Machine Learning, Deep Learning, Natural Language Processing, Robotic Process Automation (RPA), Big Data analysis, and/or Computer Vision should be included.
Track 3: Data Visualization and Data Story Telling Revolution: Sessions should immerse attendees in the world of data storytelling and visualization. Demonstrate how visualizing complex data sets can illuminate insights, inform decisions, and drive innovation across diverse sectors. This includes: Data Story Telling, Data Visualization, Business Intelligence, Data-driven Decision Making, and/or Decision Support Systems.
Track 4: Analytics Tools: Session should include Analytics Tools, Prescriptive Analytics, Descriptive Analytics, Predictive Analytic, Descriptive Analytics, Data Science, Statistical Analysis, Exploratory Data Analysis, and/or Data Mining
Track 5: Data Management, Governance, Privacy and Security: Proposals should address the importance of not only managing data but ensuring security and best practices for implementing data systems that meet the regulatory and functional needs of organizations. Case studies and program implementations for meeting the ever-changing data regulations organizations are facing are encouraged. This includes: Data Warehousing, Data Governance, Data Quality, Privacy and Security
