Data & AI for Financial Services

Transforming and creating value for Banking, Insurance, Investment Management, and Private Equities through the power of data & AI.

By 2023, 90% of banks report that integrating AI into customer service solutions has enhanced user experience.(MarketSplash) (Meniga).
Financial institutions deploying chatbots have achieved a 30% reduction in customer service costs, resulting in savings of over $8 billion annually.

AI systems have reduced fraud detection times by up to 70%, with some banks reporting a 50% reduction in fraud-related losses. (McKinsey & Company).
Predictive analytics has enabled banks to reduce loan default rates by 20%.

Robotic Process Automation (RPA) is leading to a 40% reduction in processing times and a 50% decrease in operational costs. (McKinsey & Company) (Meniga).
Error Reduction: AI and automation have reduced human errors in financial transactions by 37%, enhancing accuracy and reliability in operations.

BNP PARIBAS An AI Efficiency program to accelerate the transformation...

ARDIAN A three-day hackathon to enhance a leading investment firm’s...

ORANGE BANK enhances its data marketing with rapid deployment of...

MAIF Using Topic Modelling to reduce contact centre bottlenecks.

HOMESERVE Using speech analytics to improve customer satisfaction

MAIF Segmentation Marketing -Artificial Intelligence to Enhance Insurance Customer Understanding

September 17th, 2024. Paris,
Palais Brongniart.

Market Data Costs Are Rising in Financial Services – Here’s How to Get Them Under Control
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Unveiling the Path: Why Data Lineage is Crucial for Building Effective AI Products
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Opening Speech: AI in Financial Services: Key Market Trends and Insights for 2024 by ARTEFACT
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SCOR & SOCIETE GENERALE at AI for Finance by Artefact – Managing Data Management: Challenges in a Fast-Evolving AI Landscape
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