Fast-Tracking Gen AI Use Cases – Pilot to Production
Generative AI adoption in higher education is rapidly advancing, but institutions face challenges in moving from pilots to scalable, secure production deployments. This session delivers a practical, action-focused framework to plan, prioritize, and execute AI use cases—addressing solution design, data readiness, infrastructure, and governance. Discover how to apply reference architectures, pre-built solutions, and modular strategies to accelerate your path to production. We’ll outline deployment models, platform/infrastructure options, and essential steps to operationalize AI at scale with measurable impact.
Speaker/Host
Primary/Host Speaker
Jeremy Sloss
AI Strategist at Cisco
Jeremy Sloss is an AI Strategist and the AI Account Executive for U.S. Public Sector (SLED West) at Cisco, where he helps K-12 schools, higher education institutions, and state and local governments navigate the path to responsible and impactful AI adoption. With nearly three decades in technology - including 17 years in executive leadership roles - Jeremy brings a unique blend of operational experience, technical depth, and real-world perspective to every conversation. He works closely with public sector organizations to demystify AI and guide them through data readiness, infrastructure planning, governance frameworks, and use case development in areas such as education equity, public service optimization, and healthcare efficiency.
Jeremy's background as a former CIO, U.S. Air Force veteran, and humanitarian technology leader equips him with uncommon insight into both the risks and the transformative potential of AI. Through his work, he challenges fear-based narratives and empowers leaders to embrace AI with creativity, intentionality, and confidence - always with a focus on achieving meaningful outcomes.
Co-speaker(s)
Additional Speakers
Jay Kyathsandra
Senior Solutions Architect at ePlus
Jay Kyathsandra is a seasoned AI Solutions Architect and technical leader with over 25 years of experience driving enterprise technology transformation. He is one of the leaders driving the AI practice at ePlus Technology, where he helps organizations adopt generative/agentic AI and advanced infrastructure across computer, networking, and storage. Jay previously held leadership roles at Intel and AMD, where he guided platform development and cloud transformation for hyperscale’s and Fortune 100 firms. He holds a master’s in engineering from UT El Paso and is an NVIDIA-certified AI Advisor. Jay brings deep expertise in AI adoption strategies, especially in complex environments like Higher Education.
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