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Learning innovation and education leader Yakut Gazi, PhD, will share insights on creating innovative online programs while aligning institutional mission, priorities, business and instructional models to expand the impact of institutions. ��The challenges with the future of work and education are indeed issues of scale and inclusion, especially in a technology-driven post-COVID world. Higher education institutions have an opportunity, and arguably a social responsibility, to utilize effective digital learning and create partnerships for affordability, scale, and impact to reach all corners of the globe. A variety of innovative business and learning models developed within the last decade have already changed the equation for many institutions and learners. These institutions exemplify a relentless commitment to affordability and access that led to impact at scale. What is the next impactful innovation that will enable our institutions to touch many more learners beyond those that walk on our campuses?��
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Discover how generative AI is revolutionizing creativity and innovation in the workplace. This session explores practical ways to harness AI for streamlining workflows, generating fresh ideas, and developing unique solutions. Learn to craft persona-driven content, refine voice prompts, and leverage AI for brainstorming. Dive into creating personalized AI assistants, enhancing productivity, and transforming teaching and learning. Whether you're an educator, learner, or creative professional, Dr. Means will share actionable insights to boost efficiency and inspire innovation.

Generative AI represents a new paradigm in computing—one that centers human ideas as the starting point for computational action. Rather than relying on traditional programming, this approach allows people to express complex goals in natural language, making it possible to “compute on thought” across disciplines. This talk explores how generative AI reshapes our relationship with technology by enabling systems that respond to intent, refine outputs through dialogue, and integrate diverse tools and data. The result is a more interdisciplinary model of innovation, where domain experts, creatives, and technologists collaborate through shared language. At its core, this shift is about augmented intelligence: amplifying human creativity, reasoning, and problem-solving—not replacing it—so that computing becomes a more fluid extension of human thought.