This panel is going to discuss the evolution of AI usage within organizations of different sizes, talk about best practices and limitations of AI currently, best utilizations that folks can find, and some of the tips and tricks and pieces of how folks are building their own harnesses or utilizing harnesses or other open source tooling that boost productivity within AI.
No coding or data skills required. Rather than focusing on a specific tool or platform, this presentation provides practical, research-backed design and psychological principles that can be applied in Tableau, Power BI, Excel, or any other data visualization environment.
Saeb Ahsan
Portfolio Manager for AI and Automation
Henry Ford Health
Saeb Ahsan is a Portfolio Manager for AI and Automation at Henry Ford Health, focused on cost savings and revenue through Epic, ServiceNow, and the Microsoft ecosystem. He previously led data governance at the U.S. Department of Transportation and advised Fortune 500 and public-sector clients at Accenture and ZS Associates. An organizer with AI Collective Detroit, he is leading Hack for Humanity at Henry Ford Health later this month. Saeb is a Fulbright Scholar and Pearson Institute Fellow, and holds an MPP from the University of Chicago.
Linkedin: https://www.linkedin.com/in/saebahsan
Donovan C. Brown
Technical Consultant
Computer Support Technician turned self-taught developer and AI Integration Specialist, Donovan blends hands-on technical expertise with a passion for continuous learning. Grounded in IT support and software development, he solves complex problems and adapts quickly to evolving technologies. His work spans troubleshooting systems, building solutions, and exploring practical applications of artificial intelligence. A committed community educator, Donovan serves as chapter lead of the AI Collective Detroit chapter, helping others understand and engage with emerging tech. By pairing real-world experience with instructional leadership, he bridges the gap between technical concepts and accessible learning in the growing field of AI.
Alex Gaesser
Software Engineer
Parable
Software Engineer with deep experience building scalable platform services and APIs across multiple startups. Specialized in Go, distributed systems, and API design with strong emphasis on observability, testing, and operational excellence. Proven track record building shared libraries, establishing engineering standards, and delivering reliable systems serving thousands of enterprise customers.
Jason Touleyrou
Data Engineer & Architect
With experience spanning healthcare, gaming, and digital marketing, Jason brings a systems-thinking approach to modern data infrastructure—optimizing cloud platforms, integrating AI-driven analytics, and accelerating delivery through automation and governance. From architecting resilient pipelines to aligning engineering roadmaps with business goals, he focuses on future-ready, outcome-driven solutions.