Machine learning

158 articles tagged with this keyword

/ai

NatWest taps AI to simulate future market outcomes

UK bank NatWest is teaming up with Microsoft and AI specialist DreamQuark to simulate financial markets, transport networks and other environments and then use the information to spot risks and opportunities.

/ai

AI permeates capital markets - study

Nearly half of capital markets professionals around the world say their firms are already using AI in their trading processes, according to a Greenwich Associates report.

/ai

Kreditech targets India after EUR20m funding boost

Kreditech, a German-based online lender and POS financing provider focused on "near prime" borrowers, is looking to the Indian market after raising EUR20 million in funding.

/ai

ING invests in machine learning-based credit decisioning startup

Dutch bank ING has invested in Flowcast, a startup that uses machine learning algorithms to create predictive models that reduce risk and unlock credit to businesses.

/security

Sibos 2019: Cyber-attackers operate like serial killers

Riffing on the risks involved with thriving in a hyper-connected world, Sibos 2019 in London explores the dangers of cyber attacks and how they can have a contagion effect across broader financial systems and impact financial stability.

/cloud

Atom Bank transitions to Google Cloud

Atom bank announces today at Sibos in London that the mobile-only bank will be shifting from third-party data centres to Google Cloud in order to keep pace with digitally savvy customers and offer new services.

/cloud

Sibos 2019: Cloud, AI and privacy are the building blocks of a new digital world

How does an organisation decide if cloud and AI is right for them? This question was hotly debated at Sibos 2019 in London and discussions were also had around how IT leaders need to constantly assess the benefits of the cloud and AI in the context of the businesses they serve.

/Machine learning

Incumbents vs neobanks: Leverage new technology or risk crumbling

Financial institutions are focusing heavily on digital transformation driving innovation, better customer experience and cost reduction as they shift gears from simply meeting regulatory and compliance needs to remain relevant in a digital world.

/Machine learning

With AI and cloud, legacy systems no longer impede real-time intraday liquidity

The BCBS28 monitoring requirement asks banks to gather, process and report on a significant amount of data on a monthly basis. Finextra spoke to industry experts Richard Morris, product manager, cash and liquidity management at SmartStream; Henrik Lang, head of global liquidity, global transaction services, Bank of America Merrill Lynch and Daniel Moon, a risk consultant with over 10 years of liquidity risk experience about how technology can prevent legacy systems from impeding the progress of real-time intraday liquidity.

/payments

AI and cloud remove barriers to entry for real-time intraday liquidity

Financial institutions must actively manage their intraday liquidity but getting to this point continues to be a challenge, as banks are required to capture the information they need in real-time while at the same time meeting increased regulatory reporting obligations.

/ai

Bank sales platform Numerated raises $15m

Numerated, the Boston-based startup behind a real-time sales platform for banks, has raised $15 million in a Series B funding round led by Patriot Financial Partners and joined by Venrock, Fintop Capital, and Hyperplane.

/ai

AI and enhancing the human element in financial services

At SIBOS 2019, industry experts will be discussing how the financial services sector is in the vanguard of deploying AI on a global scale and whether the technology will be a transformative force or has the potential to act as an existential threat.

/ai

Filtering the ethics of AI

As decision-making factors using AI become more accepted, pure economics might not align with the softer strategies of a bank. Many financial institutions are questioning how artificial intelligence must be governed within an organisation and how it can be taught to align with a bank’s brand and ethos, but without influence from human judgement.

/Machine learning

Aussie regulator turns to tech in new strategy

Australia's capital markets regulator has vowed to expand its use of new technology and behavioural data as part of a strategic plan to strengthen its enforcement.

/ai

Avoiding artificial stupidity

While most financial applications of artificial intelligence have been in the customer service space, there are other areas that banks are working with to improve through implementation of innovation technology.

/Machine learning

Northern Trust applies machine learning to securities lending

Northern Trust has developed a pricing engine for securities lending that utilises machine learning and advanced statistical techniques to forecast lending rates for 34 global markets.

/cloud

Is RegTech encouraging a cloud revolution?

The deployment of new applications and the migration of core systems onto the cloud is in full swing, and financial institutions (FIs) could arguably soon be free of the legacy shackles that prevent them from moving forward into the age of digitalisation.

/cloud

The old rules no longer apply: Risk management and regulatory reporting in the cloud

Deploying new applications on the cloud is now the default. The question is not if applications should be built in the cloud or existing workloads should be migrated, but how fast can financial institutions (FIs) remove traditional IT constraints in the age of digitalisation.