This interactive masterclass will provide you with the opportunity to actively learn the building blocks to begin developing your AI toolbox providing learnings to action long after the summit ends. The value of AI is no longer in question, therefore it’s imperative that organizations learn from the challenges and obstacles encountered by organizations of high AI level maturity. The opportunity to learn from your peers and share insightful takeaways to not only your executive team but all key business units involved in implementing AI strategies, is paramount to successful creation, implementation and adoption. This masterclass will focus on:

• The importance of creating an AI roadmap, including success metrics, resource allocation and business value alignment
• Creating a proof-of-concept environment to test AI models for hallucinations and unreliable results to ensure successful enterprise-wide operationalization with reduced friction
• Understanding data requirements for your specific AI use cases and the optimal data strategy that matches organizations objectives (futureproofing, time to operationalize, avoiding getting stuck in an endless data cleansing project)
• Creating correct oversight & governance frameworks internally to avoid wild west outcomes
• Ensuring AI readiness of infrastructure and talent to assess requirements and costs associated to modernize systems and upskill workers
• Guard railing data to ensure a secure environment to build and operationalize AI models
• Factors to consider when deciding on whether a vendor-partnership model fits your organizations business model and goals 

• Defining a strategic AI roadmap that aligns with evolving business needs, operational realities, and sustainability goals, while also ensuring the right technological foundation is in place
• Evaluating build vs. buy decisions by weighing speed, cost, talent, and long-term control
• Empowering frontline teams and aligning operational timelines with AI deployment goals
• Leveraging partnerships and hybrid models to overcome talent shortages, accelerate innovation, and balance scalability with ownership