Establish an operating model to integrate AI products into business applications without losing their value.
How to transition a project from innovation (0-1/risk taking teams) to operation (1 - production / risk neutral teams) to systematic / long-term project (1 – N / risk averse teams). The core value of the delivery team for each phase of the project shift and changes. How recognising and respecting the value and differences between stages and teams can boost efficiency of collaboration and improve overall impact of AI projects.
Securing Internal Buy-In and Resources: Cultivate support across the organisation by clearly communicating the value of the AI product strategy, ensuring stakeholders understand its benefits and are committed to investing the necessary resources for successful implementation.
Team collaboration and cross-function innovation: Interactions between product, data science, engineering, and user experience teams to streamline the development and launch of AI applications. Enabling these teams to innovate and scale AI initiatives, integrating AI capabilities into business processes.
Check out the incredible speaker line-up to see who will be joining Ahmed.
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