The first step in engineering new software is to make some decisions and don't worry I won't go too much in to them. One API exposes schedules of individuals and another would be able to ingest 'shift' data that it would use to forward and re-route alerting and monitoring features of our expansive landscape to the responsible engineer or analyist on-call. We recently saw an opportunity to write a new piece of scheduling software that would connect and integrate between several API's. Not only will this continuous exercise broaden understanding of true intelligence in software machines, it will hopefully also speed up productivity and free up time and effort that it can take to solve (complex) challenges. I'm not talking about letting a program run with rules to automaticaly solve issues FOR me, but rather use it's intelligence together with mine to solve issues WITH me. I am most curious about how we can solve problems together with AI.

However, next from the ethical debates which are endless in and of themselves. We now have AI as a new hammer that we can apply to a multitude of different day-to-day problems and let it solve things for us. Don't want to read 3 books before making your final essay? Just have AI write you a summary. Have a big data silo? Apply AI to make sense of it.

Have customers complain? Institute an AI to categorize their emotions to get heaps of feedback. Is a popular saying with regards to applying AI into software projects.

' If the only tool you have is a hammer, it is tempting to treat everything as if it were a nail.' ~ Maslow's law of instruments.

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