Insights

This short paper, recently issued by the EBA Liquidity Management Working Group (LMWG), highlights the major trends that the pandemic helped crystallise in the liquidity management ecosystem and outlines the questions that financial institutions will have to address as they continue to support their corporate clients.

TAS Group has been part of EBA’s Liquidity Management Working Group for several years already, in order to contribute with its domain expertise to the group’s mission to improve liquidity managers’ understanding and ability to face ongoing market developments as well as related technical, operational, regulatory and organisational challenges.

The migration of liquidity management practices into the digital area and to real-time processes can’t wait longer. The pandemic crisis has shown that, going forward, corporates need technologies and services that can be more readily adopted or more easily adapted to handle unforeseen situations.

TAS conducted a survey, in partnership with Bobsguide, to learn how PSPs, including Credit Institutions and other Payment organisations around the world, are reacting to the changes and challenges in today’s emerging payments landscape.

The report highlights the themes having a big impact on the payments industry right now: instant payments, ISO 20022, and liquidity management, and contains insights into global technology investment strategies, cloud adoption trends, the main challenges currently seen by the payments community and more.

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TAS Group has proudly sponsored two key EU conferences in June, Payments CEE Summit and EBAday 2021, that have clearly shown how deeply the acceleration in digitalization was able to positively impact the banking DNA.

With over 1000 professionals registered at the CEE Summit, connecting primarily but not only from the Balkans, and over 2000 delegates participating to EBAday 2021, the paramount annual conference curated by the European Banking Association, all hot payment trends were deeply debated by speakers coming from all segments of the stakeholders landscape: incumbent banks, challengers, paytechs, payfacs, regtechs, regulators, corporate clients, market infrastructures, academics and market research companies.

Hottest in the agenda: Instant Payments and their convergence with card payments, Request to Pay, Buy Now Pay Later, Fraud Detection in the Real-time era, ISO 20022 migrations, API enablement, and many more core topics, including the power of the Payments as a Service paradigm as a way to accelerate the banking modernization journey.   

In case you missed our speeches at the conferences, by Dragan Spanovic, VP Sales TAS Eastern Europe, and and Mario Mendia, SVP TAS International, you may learn more about TAS Group’s 35+ years expertise as a PayFac in the evolving European Financial Services Market on our website.

In this video Marco Pozzo, Senior Business Development Global Payments of TAS Group, shares his point of view regarding the changing scenarios and the arising challenges in the Open Banking era…

WEBINAR

Detecting fraud within payment systems is one of the top challenges for IT organizations. Integrating fraud detection applications with payment systems can be complex and impact SLAs. IBM and TAS/Mantica have just simplified this effort.

IBM has partnered with TAS/Mantica to bring together the power of their Adaptive Intelligence Platform and Fraud Protection Solution with IBM Watson Machine Learning for z/OS. This impressive combination helps organizations monitor and detect payment fraud in real-time, before a transaction completes, with minimal impact to SLAs.

TAS/Mantica models can be readily deployed through the Watson Machine Learning for z/OS scoring service. The sophisticated models can help organizations drastically reduce the implementation effort of a customized fraud prevention/detection system.

Watson Machine Learning for z/OS scoring includes RESTful APIs and Java and CICS integration that benefit from the high security and performance of the IBM Z platform. Mantica Spark and customized machine learning models, ported to Watson Machine Learning for z/OS, enable scoring directly within an IBM Z application. IBM testing showed performance, measured against different CPU capacity, revealed single-digit millisecond response times and a complete exploitation of available specialized engines. The solution also maintains model quality and performance over time as new fraud patterns emerge.

Join this IBM webinar to learn how these innovative technologies help deliver valuable insight, at the point of transaction, by readily deploying fraud detection models within IBM Z transactional payment applications.

The webinar will be presented by Eberhard Hechler, Executive Architect, IBM and special guest speaker Amedeo Borin, CEO Mantica Italia.

Watch on demand

In this video Gianpiero Caretti explains how connectivity needs have evolved for businesses…

In this video Alessandra Riccardi, Business Analyst Capital Markets and Treasury of TAS Group, explores in more depth the adequacy of BCBS248 metrics...

Retail payments have historically belonged to one of two distinct groups: those that are card-based…

Enabling new and incumbent players to meet today’s challenges.

Across the board, whether you are an established financial institution, a PSP, an intermediary, a fintech or a challenger bank, one thing remains true: a desire for simplicity, flexibility and speed when it comes to performing global payments and a need to reduce the impact of compliance obligation and operational complexity.

In this white paper we explain how Last Mile Connectivity offers an attractive cost-effective solution.

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