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CBA and Microsoft deepen Gen AI partnership
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EasyA to launch learning modules on the XRPL Ledger’s EVM Integration
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Lond-based LHV Bank has signed a deal with OpenAI to licence ChatGPT Enterprise, providing unlimited access to the GenAI toolset for all of its employees.
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Matt Ryan - Reef - London
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Speaking at MPE 2024, Ugne Buraciene, Group CEO at payabl., discusses the responsibilities of merchants, payment facilitators and the marketplace in online payments, as well as the benefits and drawbacks of each model for businesses. We explore the challenges fraud creates for merchants, the importance of technology in mitigating these challenges, and future plans for seamless payment infrastructure.
11 h
In this episode of Predict 2024, Edward Harding, Director of Global Strategic Partnerships at Mambu, discusses the upcoming webinar on Mambu’s 2024 partner predictions report, highlighting how trends are shaping financial services and influencing strategies in the year ahead. We learn about Mambu's partnership-driven approach to industry challenges, examine rising trends such as embedded finance and generative AI, and get a preview of what to expect from the webinar on March 6th.
27 Feb
Mads Steinmüller, Head of Climate & Nature, Danske Bank Asset Management, discusses what Danske Bank found when they reviewed the quality of companies' management of their impact and dependencies on biodiversity on 100 of the largest companies in the Nordics, and unpacks what’s needed next to fulfil the recommendation and guidance that the Taskforce on Nature-Related Financial Disclosures (TNFD) have set out in 2023.
21 Feb
Yogesh Patel, CTO, Outseer, discusses how the evolving capabilities of artificial intelligence are reshaping fraud detection and prevention, particularly in banking. We delve into the difference between generative and predictive AI and their surprising applications, such as the rising impact of predictive AI on payment fraud mitigation, and generative AI for operational efficiency and case marking. Additionally, we discuss the importance of data quality in AI for algorithms, feature engineering, and model adaptability, to optimize security against fraudulent behaviours and enhance model efficiency. Watch to learn more about how AI will impact the future of fraud.
16 Feb
Ketharaman Swaminathan
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