For most organizations, the key challenges in AI are around understanding and matching where and how AI can help the business and how to get started. The speed of the AI “Big Bang” has made it very challenging to use traditional enterprise project approaches.

This session will focus on how to balance time to deliver value for the best use cases of AI against risk, cost and user adoption.

Key takeaways from this session will include:

• AI Is a Strategic Business Enabler, Not Just a Tech Tool 
  AI should be viewed not merely as a technological advancement but as a pivotal element in achieving business objectives. By aligning AI initiatives with core business goals organizations can ensure that AI investments deliver measurable value and support long-term strategic plans.

• Governance and Risk Management in AI Deployments
  Effective AI risk management is not just about mitigating potential threats but also about strategically positioning the organization to harness the benefits of AI responsibly and sustainably. By proactively addressing these risks, executives can lead their organizations through the complexities of AI adoption, ensuring both innovation and integrity.
• Operationalizing AI: From Pilot to Enterprise Scale
  Transitioning AI projects from pilot phases to enterprise-wide implementations requires a structured approach. Executives will learn practical strategies in order to set up their organization’s AI projects for success.