Interview with Adina Grigoriu and Hala Najmeddine on the Impact of AI in Asset Management at Active Asset Allocation
Interview with Adina Grigoriu, Founding President, and Hala Najmeddine, Director of Research and PhD in AI at Active Asset Allocation (AAA) Interview conducted by Pascale Caron Active Asset Allocation (AAA) is a financial engineering firm. It specializes in designing custom asset allocation strategies, with a particular focus on risk management and active capital loss...
How AI Simplifies E-commerce at WiziShop
AI Entrepreneur Interview: René Cotton, CEO of WiziShop Group, simplifies e-commerce through AI Interview conducted by Pascale Caron To start, what is WiziShop? WiziShop is an e-commerce platform that allows any merchant to create, manage, and run their online store. We support them with a system that's easy to set up and carries no...
Laurent Alexandre: The Stakes of Artificial Intelligence in the Era of Technological Disruption
Laurent Alexandre is a French entrepreneur, speaker and essayist, specializing in topics related to technology, artificial intelligence (AI) and biotechnology. A graduate of the École nationale d'administration (ENA), he is also a trained physician, which gives him cross-disciplinary expertise in the fields of health and innovation. Co-founder of Doctissimo in 2000, a major health information...
Cross Data: AI Serving Businesses – Interview with Jean-Charles Rongére
Cross Data supports companies in integrating AI to transform their operations and processes. By leveraging company data and high-performance algorithms, they reveal hidden performance potential. Experts in designing and deploying artificial intelligence solutions, they work in key sectors such as industry, energy, transportation, retail, and healthcare. Their expertise in Machine Learning, Deep Learning, AI Vision,...
AI Pitfalls: Bias, Hallucinations, and Managerial Implications
Bias, Hallucinations, and Managerial Implications of AI Artificial intelligence, while innovative and promising, has significant limitations that raise ethical, operational, and managerial questions. Among the main challenges are cognitive biases, hallucinations, and organizational impacts related to its adoption. Biases in AI reflect the imperfections of the data and algorithms that process them. Confirmation bias, for...
Big Pharma and AI: A Revolution Underway in Drug Discovery
Since 2023, the pharmaceutical industry has intensified its commitment to artificial intelligence (AI) to revolutionize drug discovery. The world's 10 largest pharma companies are actively collaborating with AI-specialized startups while developing their own AI-powered discovery engines. This dual strategic movement reflects a unanimous awareness: AI can transform a costly and lengthy process into a faster,...