How to Improve Fraud Detection?
In sectors like banking, insurance, telecommunications, or public administration, fraud causes billions in losses every year. Organizations invest heavily in prevention, but traditional methods often fall short when facing increasingly sophisticated techniques. So how can detection and prevention capabilities be improved without compromising data privacy or competitive advantage?
This article explores current approaches to fraud detection, their limitations, and how technology can help organizations stay ahead of the threat.
Swarm Intelligence vs Federated Intelligence
In the rapidly evolving landscape of artificial intelligence (AI), two paradigms stand out for their unique approaches and applications: Swarm Intelligence and Federated Intelligence.
These methodologies, while distinct in nature, each offer significant potential in solving complex problems by leveraging collective data and decision-making processes. As we delve into the intricacies of these systems, it becomes imperative to understand their foundational principles and how they can be applied in various domains.
Sherpa.ai: The Basque Strategy Turning Privacy into the Secret Weapon Against AI Titans
In the fast-paced world of Artificial Intelligence, where massive data access and processing seem to be the only path to success, a Basque startup is rewriting the rules of the game. Sherpa.ai, far from trying to compete directly in the race to accumulate more information, has opted for a bold and differentiating strategy: making privacy its main stronghold and, surprisingly, its secret weapon against tech giants.
𝙄𝙨 𝙙𝙖𝙩𝙖 𝙖𝙣𝙤𝙣𝙮𝙢𝙞𝙯𝙖𝙩𝙞𝙤𝙣 𝙩𝙧𝙪𝙡𝙮 𝙚𝙣𝙤𝙪𝙜𝙝 𝙛𝙤𝙧 𝙥𝙧𝙞𝙫𝙖𝙘𝙮 𝙥𝙧𝙤𝙩𝙚𝙘𝙩𝙞𝙤𝙣? 🤔
Recent studies and regulations like GDPR show that anonymized data often carries a residual risk of re-identification (remember the Netflix case?). Plus, the process can degrade data quality and is often inflexible and energy-intensive.Enter Federated Learning (FL). 🚀
🇪🇺 𝙀𝘿𝙋𝙎 𝙃𝙞𝙜𝙝𝙡𝙞𝙜𝙝𝙩𝙨 𝙁𝙚𝙙𝙚𝙧𝙖𝙩𝙚𝙙 𝙇𝙚𝙖𝙧𝙣𝙞𝙣𝙜 𝙖𝙨 𝙖 𝙋𝙧𝙞𝙫𝙖𝙘𝙮 𝙂𝙖𝙢𝙚-𝘾𝙝𝙖𝙣𝙜𝙚𝙧: 𝙎𝙝𝙚𝙧𝙥𝙖.𝙖𝙞, 𝙩𝙝𝙚 𝙄𝙙𝙚𝙖𝙡 𝙀𝙣𝙩𝙚𝙧𝙥𝙧𝙞𝙨𝙚 𝙎𝙤𝙡𝙪𝙩𝙞𝙤𝙣
Last June 10, 2025, the European Data Protection Supervisor (EDPS), in collaboration with the Spanish Data Protection Authority (AEPD), published its latest report: TechDispatch #1/2025, focused on Federated Learning (FL).
𝐄𝐧𝐬𝐮𝐫𝐢𝐧𝐠 𝐆𝐃𝐏𝐑 𝐂𝐨𝐦𝐩𝐥𝐢𝐚𝐧𝐜𝐞: 𝐓𝐡𝐞 𝐄𝐬𝐬𝐞𝐧𝐭𝐢𝐚𝐥 𝐑𝐨𝐥𝐞 𝐨𝐟 𝐃𝐚𝐭𝐚 𝐌𝐢𝐧𝐢𝐧𝐠 𝐓𝐨𝐨𝐥𝐬
Understanding the importance of GDPR is crucial for any organization dealing with personal information. It not only safeguards privacy but also builds trust with consumers, who are increasingly aware of their rights regarding data protection.
𝐅𝐞𝐝𝐞𝐫𝐚𝐭𝐞𝐝 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠 𝐯𝐬. 𝐇𝐨𝐦𝐨𝐦𝐨𝐫𝐩𝐡𝐢𝐜 𝐄𝐧𝐜𝐫𝐲𝐩𝐭𝐢𝐨𝐧
In this article, we analyze these two techniques in depth, their differences, and why Federated Learning is often the best option in real-world scenarios.
🩺 -𝐀𝐈-𝐩𝐨𝐰𝐞𝐫𝐞𝐝 𝐬𝐭𝐞𝐭𝐡𝐨𝐬𝐜𝐨𝐩𝐞 𝐝𝐞𝐭𝐞𝐜𝐭𝐬 𝐡𝐞𝐚𝐫𝐭 𝐝𝐢𝐬𝐞𝐚𝐬𝐞𝐬 𝐢𝐧 𝐣𝐮𝐬𝐭 𝟏𝟓 𝐬𝐞𝐜𝐨𝐧𝐝𝐬 🩺
The device, tested on over 12,000 patients in the United Kingdom, multiplies the diagnosis of heart failure, arrhythmias, and valvular diseases in primary care.