By Tasbiha Fatima Hasan  

Writer/Reporter 

On May 15, I had the opportunity to volunteer and participate in Data Tech 2026, hosted by Minne Analytics. The conference brought together students, professionals, speakers, sponsors, recruiters, organizers, and technology leaders in one energetic space focused on analytics, artificial intelligence, data, business intelligence, and emerging technology. I was also was able to represent the Metro Analytics Club with other club leaders. 

As a student in Environmental Science with an MIS background, I entered the conference curious about how data, technology, analytics, and sustainability continue to connect. What I found was more than technical learning. Data Tech 2026 showed me that conferences are also spaces for communication, networking, adaptability, teamwork, and professional development. 

One of the most meaningful parts of my experience was volunteering in the theater room. Volunteering allowed me to see the operational side of the conference. Behind every session, there are people helping speakers with technology, guiding attendees, keeping rooms on schedule, supporting logistics, and making sure the overall experience runs smoothly. 

I also really appreciated the collaborative volunteer structure. Each room had multiple volunteers, which meant responsibilities could be shared while still allowing volunteers to attend and enjoy sessions themselves. There is sometimes a misconception that volunteering at conferences means only working the entire time without learning or experiencing the event. Honestly, that was not true at all. I was still able to learn from speakers, observe industry conversations, interact with professionals, and enjoy the overall conference atmosphere while contributing to event operations. 

The sponsor booths also added another layer to the experience. It was great seeing organizations from different industries engage with attendees and share insights, including companies such as IBM, Best Buy, Starburst, and many others across the analytics and technology space. These interactions helped me see how data and analytics are being used across industries, from enterprise technology to business strategy and innovation. 

Several sessions explored important themes related to AI, analytics, enterprise systems, and the future of data-driven decision-making. One session that stood out to me was “The Calibration Blindspot: Why AI Models Can’t See Their Own Errors” presented by Emmanuel Chea. The session explored how frontier AI models can detect errors in other models while often failing to recognize their own inaccuracies, raising important discussions around metacognition, uncertainty calibration, and reliability in AI systems. As someone interested in both technology and analytical thinking, I found the conversation especially thought-provoking because it highlighted the importance of trust, evaluation, and accountability in AI development. 

This experience reminded me that learning does not only happen inside classrooms. Coursework, projects, and technical skills are important, but conferences add another layer that classrooms alone cannot fully teach, namely communication, teamwork under real-time conditions, networking, adaptability, and exposure to emerging ideas and industries. 

One thing I am beginning to realize is that volunteering is not “just helping.” It is also professional development. From coordinating logistics to interacting with attendees and professionals, the experience helped me better understand how large-scale events operate and how interdisciplinary fields like technology, analytics, sustainability, and communication continue to connect. A major takeaway for me was that technical skills alone are not enough in today’s rapidly changing environment. The ability to communicate ideas, adapt, collaborate across disciplines, and continue learning may be just as important as learning tools or software itself. 

Most importantly, Data Tech 2026 helped me step outside my comfort zone. It gave me information overload in the best way possible, but it also gave me clarity. I saw how much opportunity exists at the intersection of data, technology, environmental science, and communication. 

I am grateful for the opportunity to contribute, learn, and grow through this experience. Conferences like Data Tech 2026 do more than share knowledge. They create momentum, confidence, curiosity, and new possibilities for students and emerging professionals navigating their career journeys. 

A huge thank you to the entire Minne Analytics organization, the event leadership team, sponsors, speakers, volunteers, and everyone working behind the scenes to make this possible. Special appreciation to Jill Atkins, Event Director at Minne Analytics, and the organizing team for coordinating such a large-scale conference experience. Events like this require incredible planning, communication, teamwork, and operational effort that attendees may not always fully see.