Fintech lends itself to specialization and cooperation among small startups.
"There is a need to respond to change rapidly and update and maintain correct state internally," Thalesians founder says.
"If I think back maybe 10 or 15 years ago, there simply weren't as many tools out there," Saeed Amen says.
There are many different components and systems for solving big data problems and one of the big challenges is interoperability.
CEO Rado Lipuš is more interested in small companies than big firms who already are mining their in-house data.
"A nice, big, hairy data set, and if you analyze it you can learn all kinds of interesting things," CEO Tammer Kamel says.
"If you've actually got to make a snapshot based on the data you've got today and understand what predictability there is about what happens next, that is a much harder problem."
"There is some wonderful technology out there," director of the UCL financial computing center says.
The tech community responded with disbelief following an interview with Trump Treasury Secretary Steve Mnuchin in which he suggested AI wouldn't affect jobs in the United States for 50-100 years.
Researchers at the Oxford University and Google's DeepMind AI firm develop system that lip-reads better than humans by studying BBC videos.
In the future when you go looking for matches on Tinder, you might be able to get an assist from artificial intelligence, according to the app's CEO.
During a talk at the World Government Summit in Dubai, Elon Musk warned that humans were at risk of being made obsolete by artificial intelligence.