The rapid rise of generative AI is compelling organizations to adapt their working methods, decision-making, and collaboration. Leaders face challenges such as redefining workforce roles, ensuring ethical AI practices, and managing cross-functional teams that understand AI's business and technological aspects. Yet, these challenges also offer significant opportunities for streamlined workflows, enhanced innovation, and new avenues for employee growth. To navigate this changing landscape, leaders must play a pivotal role in reshaping organizational structures to empower agile decision-making while maintaining strategic alignment. They should create a culture that motivates employees to upskill and actively engage with AI-driven processes. Moreover, they must develop governance models that address the ethical and societal impacts of GenAI solutions. So, how can they reorganize structures to foster agility without compromising strategic goals? How can a culture of upskilling and innovation be built around AI-driven processes? What governance strategies can ensure ethical and responsible AI adoption?
Guest: Lori Bieda, Chief Data and Analytics Officer, BMO, North American Personal and Business Bank, BMO Financial Group
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