The Waterfall project methodology tilted the software engineering process too far towards the needs of business managers. Agile tilts the balance too far towards the needs and risk-averse nature of engineers. What is needed is a better balance between the two.

The issues with Machine Learning mean that it is not a scalable technology -- a point of view that is supported by Gartner's Hype Cycle for Artificial Intelligence 2020. What's your point of view?