Merging Human Intelligence with Artificial Intelligence the next generation of AML investigation and detection

Artificial Intelligence is powerful but is unable to use the Human Intelligence effectively. Entity Resolution and Network analytics is the bridging technology that effectively combines Human Intelligence with Artificial intelligence and is enabling organisation to reduce false positive as well as finding criminal elements such as Human Trafficking, Terrorist cells and Ivory Smugglers. It also provides a mechanism to effectively monitor Trade, Markets and Correspondent Banking

Meet Dr Kimmo Soramaki - How to best benefit from your data using AI and machine learning

In this data-driven world, Artificial Intelligence (AI) is redefining the financial services industry in the recent years. An increasing number of financial institutions are adopting a machine learning-based approach and shifting towards using technologically-enabled intelligence. In this session, we will explore how to use AI and machine learning in order to get the most benefits from your data

Using AI to shift large organisation's culture towards data literacy

Combining AI with Data Analytics is opening new opportunities for large organisations to develop their employee’s ability to read, understand and ultimately make better decisions with data.
Building up Data Analytics capability has been a major priority for most large organisations within the last decade.
As organisations become more data mature, they become more and more aware of the need to transform their company culture to truly leverage the potential of data-driven insights.

Automation at work: The future for trade operations

The process of Trade Finance Operations has long enough been overlooked and has become more complex and prone to high risks due to regulatory and market trends. Commerzbank, one of the largest German banks with a strong focus on Trade Finance, is one of the first banks to upgrade to the future by implementing advanced automation. Currently, their Trade Finance Operations depend on a strictly manual workforce, but by 2022 their target is to automise 80% of their processes.

Advanced Machine Intelligence

Ever since John McCarthy coined the term Artificial Intelligence (AI) in 1950s, we have been trying to emulate human intelligence using machines. This past decade, the dramatic increase in affordable processing power and storage have led to the modern era of data-intensive AI and robotics, ushering in the 4th industrial revolution.

Looking further out, we see the progress from intelligent to autonomous and to independent machines. Come and hear from Dr Goh explain how humanity will be represented in this era and what this ultimately means for the financial industry.

SWIFT AI : Transforming legacy into opportunity

The success of ISO 20022 amongst different market infrastructures has led to increasing community interest in using it in the cross-border messaging space. Nevertheless, the migration to this standard can be complex mainly due to large unstructured legacy systems. Discover how the latest SWIFT work on Artificial Intelligence (AI) and natural language can facilitate the migration to ISO 200022, by inferring structure out of unstructured data.

Discover how SWIFT is using AI in order to detect anomalies and prevent frauds

In this newly data-driven world, Artificial Intelligence (AI) is redefining the financial services industry. An increasing number of financial institutions are adopting a machine learning-based approach and shifting towards using technologically-enabled intelligence. In this session, we will share our latest AI research in the area of anomaly and fraud detection. Join us and discover how this could help further secure your institution!

Future proofing next generation FMIs for Artificial Intelligence & machine learning

Financial Markets Infrastructures (FMIs) generate large amounts of data that is valuable for many purposes ranging from optimising liquidity to enabling better risk management and generating insights about the economy. This presentation, by Dr. Kimmo Soramäki, demonstrates practical outcomes that can be achieved with advanced analytics using artificial intelligence (AI) and machine learning (ML) algorithms, and how to get there.

The rise of Artificial Intelligence in financial services

AI technologies are set to transform business in ways we’ve not seen since the Industrial Revolution. Opportunities are enormous and cover multiple fronts, from sophisticated fraude detection, through hyper-customization of services, to identifying untapped business opportunities. To ride the emerging wave of AI, financial services companies have to navigate evolving standards, regulations and risk dynamics.
During this session, we will discuss how financial services integrate AI into their operations and harness its potential.