Tag: Machine Learning
Five things financial institutions must know before using AI and machine...
Machine learning and artificial intelligence is often hailed as the next big thing in RegTech, but what can you do to avoid them becoming empty buzz words.
Truera comes out of stealth to fix the “black box” mystery...
Truera claims to be the industry’s first model intelligence platform and has launched from stealth to help the market remove the mystery of machine learning.
How will RegTech evolve in the future?
The financial market is global and constantly dealing with new technologies and weighed down with ever-expanding regulations. So where does that leave the future of RegTech?
XAIN receives investment from IOTA founder
XAIN, which helps businesses make full use of AI without compromising data privacy regulations, has received an investment from IOTA founder Dominik Schiener.
Appen to acquire Figure Eight in a deal which could reach...
Dataset analysis platform Appen has acquired Figure Eight, a developer of machine learning technology, in a deal which could be worth $300m.
RDC: Demystifying artificial intelligence and machine learning
Artificial intelligence and machine learning are changing the regulatory landscape and fueling the rise of RegTech. However, there dependence on data is often overlooked according to a new white paper by RDC.
Tamir collects another $10m for enterprise data unification
Tamir, a company using machine learning and customers’ knowledge to unify and prepare data, has raised an additional $10m in funding.
CybSafe reels in £3.5m for cybersecurity offering
London-based cybersecurity software platform CybSafe has reeled in £3.5m ($4.6m) through its Series A funding round.
Asset management AI company Pagaya closes its Series B on $14m
Pagaya, an asset management support solution powered by machine learning, has closed its Series B round on $14m.
Oak HC/FT and former American Express chairman...
Jumio brings AI Labs to Montreal
Jumio has launched its AI Labs in Montreal, focusing on the creation, experimentation and deployment of machine learning (ML) and deep learning technologies.