- The industry needs to deliver new services quickly and efficiently.
- A shared understanding of intelligent networking needed to optimize interoperability.
- Some AI/ML is in place, but more research and development needed to establish best practices.
- The Open Source community can play a key role in furthering the development of frameworks and best practices.
- Start simple – Learn to trust your data and results
- Address the low hanging fruit first -- Anomalies, Forecasts, Statistical Models
- Creating the data lakes is difficult
- Within a company across business units
- Security and privacy concerns hamper data gathering efforts
- Need to create cross industry anonymized data. Creating a shared data model to test the algorithms
Be prepared for bias and unintended or unexpected results if the AI/ML system is too much of a black box.