Before designing an artificial intelligence solution, you must first surmount the real problems of compliance, ethics, and politics.
Join us for an interactive workshop and panel discussion on this topic. Expect to learn:
- What should legacy companies consider when innovating?
- How should data and AI practitioners approach project design?
- How do different industries differ in their approaches to innovation?
- And more!
We wholeheartedly thank our sponsors Georgia State University and Professor Peter Molnar, who will assist in moderating our panel.
Schedule:
6:00 PM Network and Welcome
6:30PM Introductions and Panel Discussion
7:30PM Red Team – Blue Team Workshop
8:00PM Post-Session Networking
Our panel includes:
Kit Plummer: A veteran technology leader with over 30 years in software engineering, distributed systems, and DevSecOps, primarily for U.S. Department of Defense and Intelligence Community missions. As Federal Chief Engineer at Ditto, he leads edge-to-cloud synchronization efforts for national security, securing significant defense innovation awards. His extensive background includes roles as a Principal Research Engineer at GTRI (focusing on secure software supply chains and platforms like F-16/A-10), co-founding Ion Channel (software supply chain security), and leadership positions at Microsoft Federal and Raytheon. His career began in the U.S. Air Force, and he holds software engineering degrees from the University of Maryland, advocating for open-source, agile, and DevSecOps.
Kumar Vellore: Managing Director of Data, Analytics, and Enterprise Intelligence at PreludeSys, where he leads AI-driven transformation and data modernization at scale. With deep expertise in IT transformation, business development, and customer success, Kumar helps organizations maximize revenue, improve operational efficiency, and implement secure, compliant data strategies. His work focuses on building intelligent systems for enhanced decision-making and secure data use, recently demonstrated by leading a data platform transformation for a global retail brand. He serves as a strategic advisor on unlocking value from data.
Dr. Warren Hearnes: An expert with over 30 years of experience applying optimization, machine learning (ML), and artificial intelligence (AI) to solve complex business challenges. He is currently involved with ventures OptiML AI and Sportslytx. His past roles include Chief Data Scientist at Best Buy (leading AI strategy), developing AI/ML platforms at Cardlytics (propelling it through IPO), directing CRM analytics at The Home Depot, and leading optimization projects at UPS and Lucent Technologies, achieving significant savings. A U.S. Army veteran (Airborne, Ranger), he holds a PhD from Georgia Tech focused on reinforcement learning and is actively involved with INFORMS and university analytics advisory boards.
