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Top sherpa.ai News

Artificial Intelligence · Bilbao

A scoping review of the governance of federated learning in healthcare

100% Center coverage: 1 sources

In healthcare, federated learning (FL) is emerging as a methodology to enable the analysis of large and disparate datasets while allowing custodians to retain sovereignty. While FL minimises data-sharing challenges, concerns surrounding ethics, privacy, maleficent use, and harm remain. These concerns can be managed by effective data governance. Data governance specifies procedural, relational, and structural mechanisms governing how data is capt…See the Story

Bilbao · Bilbao

How Insurance Companies Can Benefit from Sherpa.ai and Federated Learning: Four Key Use Cases

The insurance sector is undergoing a profound digital transformation. The emergence of technologies such as Artificial Intelligence, the Internet of Things (IoT), and predictive analytics is completely reshaping how insurance policies are designed, marketed, and managed.In this new landscape, data has become the most valuable asset for insurance companies: it enables more accurate risk assessment, personalized offers, fraud detection, and the de…Read Article

Privacy · Bilbao

Federated Learning vs Synthetic Data: Which Is the Best Solution to Protect Privacy?

In a world increasingly driven by artificial intelligence and data, privacy has become one of the greatest technological, ethical, and regulatory challenges. Companies, governments, and organizations across all sectors are seeking ways to extract value from data without compromising the confidentiality of individuals or entities involved.Among the many approaches that have emerged to address this dilemma, two technologies stand out: synthetic da…Read Article

Federated Learning vs Data Clean Rooms: Why Sherpa.ai Offers the Most Advanced Solution for Secure and Efficient Data-Driven Collaboration

The current economy is data-driven, but access to that data is increasingly restricted by regulation, privacy concerns, and technological fragmentation. So how can different organizations — such as banks, insurers, telecom operators, or public institutions — collaborate without compromising privacy or violating regulations like the GDPR or the upcoming EU AI Act?Two technologies have emerged as viable alternatives: Data Clean Rooms (DCRs) and Fe…Economy · Spain Read Article

How Banks Can Leverage Sherpa.ai Federated Learning platform: Three High-Impact Use Cases with Sherpa.ai

In today’s data-driven landscape, banks face an urgent challenge: how to fully leverage their data to improve performance and personalization while safeguarding customer privacy and complying with regulations like the GDPR and the upcoming EU AI Act.The pressure to collaborate with third parties—such as insurers, fintechs, telecom operators, or merchants—is growing rapidly. These partnerships unlock value, but sharing sensitive data across organ…European Union · Spain Read Article

Federated Learning vs. Data Anonymization: Why Sherpa.ai Is the Most Advanced Privacy-Preserving AI Solution

In today’s data-driven economy, protecting individuals’ privacy is no longer just a legal obligation — it’s a strategic priority. Whether in healthcare, banking, telecom, or public institutions, organizations face a common challenge: how to extract value from data without compromising privacy or violating regulations.For years, data anonymization has been the standard method to tackle this issue. However, recent advances in AI and data protectio…Privacy · Bilbao Read Article

Sherpa.ai, selected as one of the World’s Top 5 AI Implementers by The AI Summit London

We are proud to announce that Sherpa.ai has been selected as one of the 5 global finalists for the “AI Implementer of the Year” award at The AI Summit in London, the world’s leading event for applied artificial intelligence.This prestigious recognition places us among global tech leaders and validates our continued work to build AI solutions that are not only powerful and effective but also ethical, secure, and privacy-preserving. Fed…London, England · London Read Article

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