Navigating the complex automation landscape demands a strategic roadmap that guides the planning and execution of diverse automation programs. As automation leaders, you are most likely tasked to develop short and long-term automation program roadmaps, and most notably, are measured on how effectively you and your team stick to them – and even more importantly, if the automation roadmaps you crafted and the programs you executed upon provided their intended value to your organization.

In this session, topics of discussion will include, yet will not be limited to:

• Developing highly impactful and realistic automation program roadmaps
• Strategies to identify/manage potential risks & program hiccups associated with a variety of IA program rollouts
• Navigating stakeholders buy-in and adoption – and infrastructure, data, technical, and workforce obstacles

The autonomous enterprise refers to an organizational framework where intelligent automation and AI-driven technologies are seamlessly integrated across operations, enabling self-optimizing processes, data-driven decision-making, and enhanced innovation to achieve unprecedented levels of efficiency and agility. 

In this session, topics of discussion will include, yet will not be limited to:

• What the term "autonomous enterprise" signifies and how it redefines traditional business models
• Key components that constitute an autonomous enterprise, from AI-driven decision-making to self-optimizing processes
• Does the vision and promises of an autonomous enterprise align with current and near future organizational structures, and technology capabilities
• Challenges and factors that impact the timeline for achieving an autonomous enterprise, from data quality, regulatory compliance, AI ethics, and socio-economic considerations