Leaders working at the intersection of education and data examine how AI, generative AI, and machine learning expand analytical capacity and accelerate insight—while deploying human discernment to ask the right questions, interpret outputs, and turn intelligence into action. Learn how leaders working across high-quality materials and assessments are viewing both supply and demand actors integrating human and AI efforts to build, implement, and measure quality of the strongest tools for students. Hear how market innovations like the Knowledge Graph from Learning Commons is enabling wide access to humans at the forefront of effective instruction.