As AI becomes integral to business strategy, many organizations have struggled to navigate the delicate balancing act between technical complexity and business value, especially with the advent of generative AI. This is especially true in high-risk settings such as healthcare, defense, and financial services.
In this session, actionable strategies for enhancing AI and data literacy among stakeholders, aligning AI projects with business objectives, and fostering trust between AI builders and users will be explored. Although many strategies are applicable to both traditional machine learning and generative AI projects, special considerations for projects incorporating generative AI will also be discussed.
Attendees will walk away with practical insights to propel AI projects from the design board to real-world impact and pave the way for a culture of informed and responsible AI innovation within their organizations.
Participants will learn how to:
- Develop greater AI and data literacy among stakeholders and users
- Align business outcomes with AI project goals
- Build trust and effective communication channels between AI builders and users
- Identify and communicate the potential risks and unintended consequences that arise from both traditional and generative ML models