Goto

Collaborating Authors

Results


7 Uses of Machine Learning in Finance

#artificialintelligence

It has been said that to give a man a fish is to feed him for a day, whereas to teach a man to fish is to feed him for life. Forward-looking financial service companies are similarly finding that giving computers instructions is not nearly as fruitful as teaching them to write their own. From assessing credit risks to beefing-up the security of their own networks, fintech startups, in particular, are turning to machine learning finance-based solutions in order to work smarter rather than harder. Considering that over 200 leading financial institutions will attend the upcoming October 2016 Machine Learning Fintech Conference, investment in this subset of artificial intelligence (AI) seems to be a wise move, indeed, for companies that don't want to be left behind. With leading banks starting to invest in AI, and machine learning in particular, fintech companies will be significantly disadvantaged if they fail to do likewise.


7 Uses of Machine Learning in Finance

#artificialintelligence

It has been said that to give a man a fish is to feed him for a day, whereas to teach a man to fish is to feed him for life. Forward-looking financial service companies are similarly finding that giving computers instructions is not nearly as fruitful as teaching them to write their own. From assessing credit risks to beefing-up the security of their own networks, fintech startups, in particular, are turning to machine learning finance-based solutions in order to work smarter rather than harder. Considering that over 200 leading financial institutions will attend the upcoming October 2016 Machine Learning Fintech Conference, investment in this subset of artificial intelligence (AI) seems to be a wise move, indeed, for companies that don't want to be left behind. With leading banks starting to invest in AI, and machine learning in particular, fintech companies will be significantly disadvantaged if they fail to do likewise.


'Skynet FX' - A. I. Learning Machines will Dominate Financial Markets Finance Magnates

#artificialintelligence

What if five years from now robo-advisors are a thing of the past? That would seem counter-intuitive given the current trend and the enthusiasm for it, with technology accelerating as quickly as the many startups competing in FinTech and related verticals, and as the industry for robo-advisors is still in the very early stages of development. How then, could the future of automated financial advice be further transformed, taking on a different dimension that makes the current approach obsolete? By 2020, the market for machine learning will reach 40 billion, according to market research firm IDC. Combine that with the potential for more than 20% of financial services companies to be at risk of losing business to FinTech firms by 2020, according to a recent PricewaterhouseCoopers (PWC) report from earlier this month, and a change in the landscape may be underway, accelerating as approaches to technology cause industries to converge.