Artificial Intelligence in the financial sector: 13 key challenges of the future

May 31, 2019

This white paper presents Bleckwen’s contribution to the request for proposals initiated by the ACPR (French Prudential Supervision and Resolution Authority). This institution, under the auspices of the French central bank (Banque de France), is responsible for approving and monitoring the activities of banks, insurance companies and their brokers, defending the interests of their customers and preserving the stability of the financial system. In February 2019, the ACPR closed a vast debate on the stakes related to artificial intelligence in the financial sector.

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For 17 years, we’ve been obsessed with security. From how attackers target people and organisations, to discovering vulnerabilities in the OSI layer, and producing world-class research and tools, our aim is to bring this obsession to help you find the ways of gaining access to your most valuable assets. As trusted advisors we deliver insight, information and systems to enable our clients to make strong decisions about information security that supports their business performance.

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Four Proven Steps to Integrating Threat Intelligence for Higher-Fidelity Detection and Response

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Modern Risk Management for AI Models

whitePaper | September 15, 2022

The concept of Artificial Intelligence (AI) and Machine Learning (ML) dates back to the 1950s with researchers trying to use machines to simulate human intelligence in machines. However, their use in the financial sector has been limited. With enhanced customer service and mounting cost pressures, financial institutions (FIs) have now started to look at AI as a possible solution for improving cost and operational efficiencies.

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Dell PowerScale: Key Performance Prediction using Artificial Intelligence for IT Operations (AIOps)

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Architecting IT infrastructure has never been more challenging than it is today. Many enduser workloads, such as semiconductor design, autonomous driving development, and life sciences and healthcare are growing more complex every day. With that complexity comes growing demand on IT.

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Certifying Fairness of AI-Applications An Impossible Task?

whitePaper | January 28, 2022

Since more and more decisions that used to be made by humans are nowadays made either with the help of Artificial Intelligence (AI) or by AI alone, it is essential that the AI algorithms are “fair.” In this whitepaper, we discuss issues surrounding the fairness of AI applications, with a special focus on how it can be assessed independently and subsequently certified. We explain why an AI application cannot be classified – and subsequently certified – as “fair” or “unfair” in a general sense and propose an approach that makes it possible to classify it as “fair” or “unfair” under the (application)-specific definition of fairness.

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Unpacking AI Procurement in a Box: Insights from Implementation

whitePaper | May 9, 2022

This document is published by the World Economic Forum as a contribution to a project, insight area or interaction. The findings, interpretations and conclusions expressed herein are a result of a collaborative process facilitated and endorsed by the World Economic Forum but whose results do not necessarily represent the views of the World Economic Forum, nor the entirety of its Members, Partners or other stakeholders

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Spotlight

SensePost

For 17 years, we’ve been obsessed with security. From how attackers target people and organisations, to discovering vulnerabilities in the OSI layer, and producing world-class research and tools, our aim is to bring this obsession to help you find the ways of gaining access to your most valuable assets. As trusted advisors we deliver insight, information and systems to enable our clients to make strong decisions about information security that supports their business performance.

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