Data Analytics Summit 2025

Name: Data Analytics Summit 2025
Start: 2025-02-27
End: 2025-02-27
Location: Harrisburg University of Science and Technology

Empowering Tomorrow: Data Analytics and Integrating Advanced Technologies for Impact

Welcome to Data Analytics Summit XI, the premier conference in Central Pennsylvania for professionals, innovators, and visionaries in the data analytics field. This year’s theme, “Empowering Tomorrow: Data Analytics and Integrating Advanced Technologies for Impact,” invites you to explore how data-driven strategies can revolutionize industries, solve complex challenges, and spark groundbreaking advancements.

Why Attend?

The Data Analytics Summit is more than just a conference—it’s a movement. Dive into a dynamic agenda filled with:

Expert-Led Sessions: Hear from industry pioneers who are reshaping the world with analytics.
Hands-On Workshops: Gain actionable insights with practical skills to apply immediately.
Cutting-Edge Technology: Experience the latest tools and solutions transforming the data landscape.
Networking Opportunities: Connect with peers, thought leaders, and potential collaborators.

Who Should Attend?

This event is designed for:

Data Scientists and Analysts
Business Leaders and Decision-Makers
AI and Machine Learning Enthusiasts
Academics and Researchers
Students passionate about data-driven careers

Key Highlights

Keynote Speaker: Mike Bechtel of Deloitte will be delivering this yer’s keynote. More information to come.
Interactive Panels: Engage in thought-provoking discussions on emerging trends.
Case Studies: Real-world success stories demonstrating analytics in action.

Event Tracks

Track 1: Generative AI and Machine Learning

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. Includes Case studies, implementation, Explainable Analytics, Custom/Domain Specific Creation, and Chat Bot Training.

Track 2: Data Visualization and Data Story Telling

Sessions will include 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 include Analytics Tools, Prescriptive Analytics, Descriptive Analytics, Predictive Analytic, Data Science, Statistical Analysis, Exploratory Data Analysis, and/or Data Mining.

Track 3: Data Management, Governance, Privacy & Security

Addressing 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 included. This includes Data Warehousing, Data Governance, Data Quality, Data Mesh and Fabric, Data Observability, Data Operations. Privacy and Security.

Track 4: Case Studies and Practical Applications

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. Topics like chatbot implementation and demonstrations of chatbot response training and prompting.. This includes practical, applied use cases in Government, Business, Healthcare, Education, Advance Agriculture, and/or Advanced Manufacturing and all things IoT (Internet of Things). Including cost benefit of creating an organizational M/L Database and full implementations of Data Observability Models.

Track 5: Spatial Analytics & HU Student Presentations
Presentations and case studies on spatial analytics and GIS solutions. GIS professionals and those interested in spatial technologies share insights and practical knowledge through real-world examples.

Speaker and Presenter Information

Speaker Bios available on our online platform:

Expected Number of Attendees

250

Relevant Government Agencies

Office of the President (includes OMB), Dept of Commerce, Dept of Education, Dept of Homeland Security, Dept of the Interior, Dept of Labor, Other Federal Agencies, State Government, County Government, Municipal Government, Federal Government, State & Local Government