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

Generative AI has the potential to revolutionize industries and transform the way we live and work. However, with great power comes great responsibility - and the potential risks of generative AI cannot be ignored, most notably with respect to data governance, privacy, IP, bias, ethics, workforce usage, and much more. That said, before any organization, most notably an enterprise organization, can dive into the generative AI pool, it’s mission critical to better understand what the risks maybe, so to determine if it’s indeed a technology your organization or functional areas can use at scale, or if silo usage is best at this time – and most notably, do the rewards outweigh the risks?

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

• Rewards, benefits, and potential use cases
• Developing robust and effective generative AI governance strategies
• Generative AI program rollout challenges and potential solutions
• Effectively executing upon set governance standards
• Are silos the way to go for enterprise organizations?

Change often triggers apprehension, as the unknown can be unsettling for most individuals. Similarly, when introducing automation to employees' daily work lives, the fear of change can arise, stemming from concerns about altered job roles, processes, uncertainties about adapting to new technologies, and of course the biggest fear, and that is, automation taking over people’s jobs and their ability to earn an income – all which are very valid concerns. That said, cultivating a work culture and change management initiatives that empowers employees to embrace automation must be a top priority for all automation programs, so to increase automation program roll out success.

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

• Your role in shaping a culture that embraces change and innovation, fostering an environment ripe for IA integration
• Strategies to encourage collaboration and cross-functional teamwork, enhancing automation adoption
• Training and upskilling programs that increase automation adoption, UX, and usage
• Developing a work culture that celebrates innovation and encourages the exploration of new automation applications and solutions – most notably generative AI