Generative AI has got the world talking with applications that have the potential to transform industry. However, there are still a number of roadblocks that need to be overcome before generative AI can be widely deployed in practical applications. As many will know, taking an idea from the whiteboard and into the real world is no easy task. In this talk, our panelists will discuss some of the key challenges that need to be addressed in order to make generative AI more easily applicable, including: → The need for more data → The need for more powerful hardware → The need for better evaluation metrics → Improving model refinement This is an interactive panel session - be part of the conversation by asking questions live to our panelists, and get the feedback you need.