Putting machines to work for portfolio managers and traders

The upward mobility of artificial intelligence and machine learning in the mass consciousness can be described by the competitions they’ve competed in and won against humans.

The companies and games are well known: IBM Watson for chess and Jeopardy, Google DeepMind for the Chinese game Go; and the relatively new entrant OpenAI for video game Dota 2 against amateur and semi-pro players (human pros remain victors, for now).

As the wins progressed over the years, so too did the sophistication and combination of machine learning techniques, briefly: natural language processing, and supervised, unsupervised and reinforcement learning. The resulting headlines were predictably hyperbolic about the impending robot invasion and generally accompanied by “Terminator” graphics.

This is, of course, silly. Virtually every expert across the board of numerous industries, certainly in finance, will acknowledge that the true winning combination is human-machine, not one versus the other, albeit a very useful demonstration.

The “man versus machine” milestones over the years came hand in hand with putting those artificial intelligence technologies to work for humans. And though there may be a lot of cynicism about what AI can’t do (yet), what it is doing isn’t exactly chopped liver.

This content requires a Finadium subscription. Articles with an unlocked symbol can be accessed with free registration. Log in or create a free account by signing up here..

Related Posts

Previous Post
Get the weekly SFM update – our August 31 2018 newsletter is online
Next Post
SWIFT hooks up first fintech to new gpi payments standard

Fill out this field
Fill out this field
Please enter a valid email address.


Reset password

Create an account