Data Analytics Summit 2025

This year’s theme is:

Empowering Tomorrow: Data Analytics and Integrating Advanced Technologies for Impact

The call for proposals is now open.

Keynote proposals for this summit should be engaging. The keynote should set the tone for the day and inspire attendees to “Empowering Tomorrow: Data Analytics and Integrating Advanced Technologies for Impact”. 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.

Topic 1: 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.  Examples of preferred submissions would include Case studies, implementation, Explainable Analytics, Custom/Domain Specific Creation, and Chat Bot Training.

Topic 2: Data Visualization and Data Story Telling 
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. Examples and uses cases of Edge Analytics and Data Observability. Sessions should include Analytics Tools, Prescriptive Analytics, Descriptive Analytics, Predictive Analytic, Data Science, Statistical Analysis, Exploratory Data Analysis, and/or Data Mining.

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, Data Mesh and Fabric, Data Observability, Data Operations. Privacy and Security.

Topic 4:  Case Studies and Practical Applications
Proposals which provide case studies and real-world examples of how organizations are leveraging these technologies to drive innovation, reduce costs, predict future trends and include lessons learned from implementation. We are seeking demonstrations and case studies of chatbot implementation and demonstrations of chatbot response training and prompting such as a “How to train your chatbot” demonstration.  This includes practical, applied use cases in Government, Business, Healthcare, Education, Advance Agriculture, and/or Advanced Manufacturing and all things IoT (Internet of Things). We encourage submissions sharing cost benefit of creating an organizational M/L Database and full implementations of Data Observability Models.

Topic 5: Spatial Analytics 
We are accepting proposals for presentations and case studies on spatial analytics and GIS solutions. Topics of interest include current application development, workflows, tools, and innovative implementations across industries. GIS professionals and those interested in spatial technologies are encouraged to share insights and practical knowledge through real-world examples.