Fintech funding round-up: 18 January 2018
Featuring BB&T Corporation, Solgari and Tinkoff Bank.
Featuring BB&T Corporation, Solgari and Tinkoff Bank.
They beat humans using the Stanford Question Answering Dataset – aka SQuAD.
Implementation of first uses cases around real-time contextual added-value banking notifications and offers to make their appearance in 2018.
With wildly conflicting views from experts on the topic, and given that most of us had our first interaction with artificial intelligence whilst watching The Terminator, it isn’t hugely surprising that there is a fear of the rise of the robots.
How secure will the cloud be in the coming 12 months?
2017 ends with the Bitcoin having surpassed the $19,000 mark. Could this perhaps be a taste of our future?
Are you suspicious? This is a key question at the heart of efforts to tackle money laundering: if you work for a bank or other financial institution and have suspicions money laundering is happening, you have a legal duty to speak up.
With concerns that AI will make human employment obsolete, research firm Gartner is looking to counter that narrative.
The Financial Stability Board has stated in its first report on AI that the risks they pose need monitoring.
Risk and data science firm Jaywing has unveiled Archetype, a new risk technology product that uses artificial intelligence (AI), machine learning and deep neural nets to help lenders generate statistical models.
IBM is ready to start shipping the first commercial server systems built around its recently released Power9 processor. Dubbed the AC922 Power Systems, these servers will ship by the end of December, and are specifically designed for artificial intelligence (AI) workloads.
Advisory tools tech company BondIT landed $14 million in funding from China-based Fosun Group.
Microsoft and Amazon Web Services (AWS) have teamed up to launch an open-source, deep learning library called Gluon which will make machine learning (ML) more accessible to a wider range of developers, reports Telecoms.com (Banking Technology’s sister publication). That will be the key to winning the machine learning race. Not making the most complex and […]
This is a moment to celebrate 20 years of independence during which the Bank of England has been a stabilising force for the UK economy, inspiring others in the world of central banking.
Pindrop, an Atlanta-based voice security and authentication firm, says its latest technology release is improving clarity and accuracy and increasing fraud detection by 20 percent.
Cut through the noise and examine the payment trends most likely to affect your bottom line.
State Street has launched its Quantextual Idea Lab, a hybrid of machine learning and human knowledge, for improved investment research. According to the firm, investment professionals are inundated with research reports from the sell side, the buy side and academia. It reckons financial research teams can produce enough content to consume 24 reams or 12,000 […]
As big data just keeps getting bigger, banks, retailers and every other kind of company must have more sophisticated tools to understand and predict what customers want and need.
There’s a new fintech challenger in town. Toronto-based STACK announced its partnership with Mastercard two weeks ahead of the beta launch of its mobile financial services app and companion prepaid card.
Before you get too excited about the down and dirty world of cloud security, we should warn you this is more of a light-hearted report on the quirky things our sister publication Telecoms.com picked up at the CloudSec conference.
After two years of stealth technology development and $3.6 million in venture capital backing, New York City-based Petal has announced a credit card that uses machine learning to underwrite customers instead of traditional credit scores.
Get a sneak peek at what trends will shape the discussion at FinovateFall, including a few things you might not expect.
The CardLinx Association announced four new members—Capital One, JCB, Yahoo! Japan and Dentsu—as well as the launch of a “groundbreaking forum” on Retail in the Age of Artificial Intelligence (AI) on Sept. 12, 2017, in Chicago.
Machine learning continues to take center stage in fraud prevention for the payments industry. Mexico-based payments processor MIT will use U.K.-based Featurespaces’ real-time, machine-learning platform to detect anomalies in individual behavior for fraud and risk management for its 17,000 merchant partners.
Mastercard has entered into an agreement to acquire Brighterion, a software company specialising in artificial intelligence (AI), reports Banking Technology‘s sister publication Paybefore. This acquisition follows Mastercard’s March acquisition of NuData Security and will further expand Mastercard’s capabilities to “deliver an enhanced customer experience and security”. Brighterion’s portfolio of AI and machine learning technologies provide real-time […]
Mastercard has entered into an agreement to acquire Brighterion Inc., a software company specializing in artificial intelligence. This acquisition follows Masterdard’s March acquisition of NuData Security and will further expand Mastercard’s capabilities to “deliver an enhanced customer experience and security.”
Many have proclaimed that 2017 will be “the year of artificial intelligence (AI)”, with a 300% increase in investment in its technologies predicted compared with 2016. Start-ups with AI at the core of their business in particular will be looking to benefit from this surge in investment capital, as they did last year when 550 raised $5 billion in funding.
Parth Desai, CEO and founder of Pelican, discusses why artificial intelligence (AI) is already fact not a fantasy, but cautions that we need to be realistic about what can really be achieved on the journey to true AI adoption in transaction banking and payments.
In recent years we have seen a strong trend for institutional trading desks to leverage their data to improve trade execution results and become more recognised as active participants in portfolio performance. Two important applications of predictive analytics have arisen, both aiming to improve the manner in which trading algorithms are used and controlled. It […]