Ryan Lufkin, the vice president of global strategy for Instructure, examines how the focus on AI in education will move from experimentation to accountability.
Fulfilling the promise of AI in higher education does not require massive budgets or radical reinvention. By leveraging existing infrastructure, embracing edge and localized AI, collaborating across institutions, and embedding AI thoughtfully across the enterprise, universities can move from experimentation to impact.
Universities aim to be ready to turn new technologies and practices into opportunities for innovation and ultimately, ROI on the institution's investment in wireless infrastructure.
Microsoft researchers recently uncovered a large-scale, sophisticated AI-driven phishing campaign that uses automation and legitimate authentication processes to compromise accounts more effectively than traditional phishing attacks.