So, you‘ve got your AI strategy, your Automation talent; you‘ve got your department and they‘ve got a great proof of concept. What‘s next? Companies now spend 80% of their time on preparing data, getting it ready for algorithms to mull over it. You can cut costs significantly by putting a process in place for how to prepare your data and how to deal with parallel data.
• How to structure your data science projects as part of your AI strategy
• Creating a Data Preparation Flow that follows your Business Goals
• Integrating your departmental processes and your Data Flow