AI is not just a side project—it's a fundamental shift in business models. In a recent discussion, Dr. Elena Alikhachkina, Chief Data and AI Officer at TE Connectivity, director, board advisor, and author, explains why AI requires a product mindset, how "learning data" powers continuous AI loops, and what boards must do to govern AI responsibly.
Dr. Alikhachkina argues that technical skills alone are no longer sufficient. Trust is being redefined in the age of digital employees, and she predicts that 2026 will be a turning point for data, governance, and enterprise transformation. She challenges the notion that data is "the new oil," instead reframing it as a living, learning asset embedded in business processes.
The conversation covers what it really means to build AI loops, why product leaders must be deeply embedded in operations, and how governance, data readiness, and performance accountability must evolve as AI agents join the workforce.