GDPR

GDPR at Beyond Market Intelligence is a file of 3 stories. The newest of them: “Uber's €825M GDPR fine signals new accountability for automated systems”, “Build offline data collection forms that feel simple and familiar”, and “Building trusted AI for regulated industries at global scale”. Uber's latest regulatory headache is a big one: the Dutch Data Protection Authority has slapped the ride-hailing giant with a €825 million fine, the second largest ever issued under Europe's GDPR. Building a simple data collection form in Excel is absolutely doable, and it sounds like the right fit for your group. Acme AI is the next-generation, AI-powered spreadsheet platform built to replace Excel and redefine how analysts, data scientists, and enterprise teams work… The list below is every GDPR story on Beyond Market Intelligence, newest first.

Uber's €825M GDPR fine signals new accountability for automated systems
TechCrunch

Uber's €825M GDPR fine signals new accountability for automated systems

Uber's latest regulatory headache is a big one: the Dutch Data Protection Authority has slapped the ride-hailing giant with a €825 million fine, the second largest ever issued under Europe's GDPR. The penalty stems from automated driver suspensions, a practice that clearly clashes with the transparency and fairness Europe demands. For a company built on data, this is a stark reminder that automation without human oversight carries real costs. It's a bold move, and one that signals regulators are watching closely.

Microsoft Excel | Help & Support with your Formula, Macro, and VBA problems | A Reddit Community

Build offline data collection forms that feel simple and familiar

Building a simple data collection form in Excel is absolutely doable, and it sounds like the right fit for your group. You can use form controls to create a clean interface with labeled fields, a submit button, and a linked table on a separate tab. Macros can handle the data transfer securely, and password-protecting the file adds a layer of GDPR compliance. It's a practical upgrade from Access, offering familiarity without the complexity.

Building trusted AI for regulated industries at global scale
VentureBeat

Building trusted AI for regulated industries at global scale

Building production-ready AI in healthcare isn't just about getting the model right, it's about engineering trust from the ground up. Heidi, an Australian-founded AI Care Partner, proves this by automating clinical documentation across 190 countries, handling 2.7 million patient interactions weekly. The company's success rests on infrastructure decisions made years ago, prioritizing data residency, auditability, and safety by default. As CTO Yu Liu puts it, trust is architectural.