Credibly reintermediate backend ideas for cross-platform models. Continually reintermediate integrated processes through technically sound intellectual capital. Holistically foster superior methodologies without market-driven best practices.
Are we really at a new stage of so-called industrial development much like how the car replaced the horse and buggy as the main mode of consumer transportation? This would appear to be the case by some thought leaders and practitioner leaders that reinforcement learning (RL) will and should replace traditional prediction analytics as the mode of targeting.
In these most difficult times, the use of analytics is certainly not top of mind for most organizations unless it is being used to combat the virus. The challenging scenarios of meeting payroll and having access to cash are the obvious immediate priorities.
As a practitioner with over 30 years of experience in the field, the discipline of data science has evolved dramatically. As I have discussed at length in previous articles and in my book, the approach and process in conducting data science exercises has not changed.