Re:AI Beats Four Top Poker Players
by brilliantcode on Wednesday February 01, 2017 @03:21PM
(#13544698)
It's not enough to hire a machine learning expert if you are planning on building out your own capable ML operation confident in competing against the best and the brightest at Azure, Google & AWS. You'd need a team of ML experts.
On the other hand, it's easier to piggy back off the hard work of highly paid experts in this space now commoditized into 1/10th of a cent per application of an ML algorithm from Microsoft or Google or IBM.
Commoditization is going to be in full force as businesses realize they can just have a junior developer to plugin IBM Watson or Azure than hire an expensive PhD student who may know everything under the sun but cannot compete against an army of highly paid experts completely under the control of a highly collusive labor market.
(it cuts the other way too: if an oversupply of labour in a field as difficult-to-learn as ML does arise, the demand shortage causing wages to fall is almost certainly because ML techniques aren't giving companies and traders as much of a financial edge as they hoped for...)
Added bonus for the ML experts: in a lot of the possible areas they can choose to work in, their individual marginal contribution to the company's profitability is at least as quantifiable as that of a salesperson. In many areas of finance you can quantify the impact of an individual line of code!