The Wall Street Journal recently published "Pressure Mounts on CIOs to Build More AI Apps," stating ChatGPT's popularity is causing business leaders to ask for more AI apps. The demand is so high chief information officers say they cannot keep up since building, training and rolling out AI models is so expensive and takes too much time.

In this episode, we talk about the challenges when deploying AI and how you can use a process oriented approach to create more models and more value without needing a data scientist for every project.

• Challenges of implementing AI projects
• How to deliver more AI projects faster
• Generate faster time to value by focusing on smaller, easier-to-build models
• Generate clean data as part of your business process workflow
• Optimizing your AI projects for Impact
• Using a platform approach to prioritize AI projects

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