In a recent discussion, Dr. Elena Alikhachkina, Chief Data and AI Officer at TE Connectivity, argued that artificial intelligence is no longer a side project but a fundamental shift in business model. She emphasized that organizations must adopt a product mindset to succeed with AI, treating data not as "the new oil" but as a living, learning asset embedded in business processes.
Dr. Alikhachkina highlighted the critical role of "learning data" to power continuous AI loops, where models improve over time through iterative feedback. She warned that technical skills alone are insufficient; leaders must bridge engineering and business strategy to build trust and governance around digital employees.
Looking ahead, she predicted 2026 will be a turning point for data, governance, and enterprise transformation as AI agents join the workforce. Boards must evolve their oversight to ensure responsible AI deployment, with performance accountability that spans both human and machine contributors.
The discussion challenges conventional wisdom, urging product leaders to embed themselves deeply in operations and governance to harness AI's full potential.