In a modern system, not all data is tables, not all data is real-time, not all data must persist, not all areas of a business needs to see all the data. Choosing the best data architecture for your company can be challenging - make use of the experience of someone who has tried it all, at all scales (from billions of ticks of stock data, to data-visualising of business spreadsheets)
Software delivery, whether 3rd party or internally, will benefit from the separation of concerns and better infrastructure management containerization brings. If you don't have a strategy for this, you should.
"Artificial Intelligence" is moving mainstream (just ask Alexa!)
Having specialized in this field in college I've recently been involved in a project involving number plate recognition using OpenCV 3.0
I've recently designed and built a custom PCB based on the Arduino Pro Mini and communicating via the SigFox network
Have kept up to speed on Bitcoin and it's underlying Blockchain algorithm, as well as it's stronger competitors (Ethereum & Ripple in my opinion)
I have spent many years involved in designing ways to make complex data easier to understand via visualisation, both 2d and 3d
Real-world knowledge of various database types, coupled with years of experience of both statistical techniques and data management, helps me find answers to questions based on very large datasets