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We’ve talked a lot about how technology is transforming healthcare. From ambient listening devices to voice-based assistants, we’re seeing a data explosion. This shift (what many call a “data revolution”) is especially visible in the rise of AI scribes: tools that automatically generate clinical notes from doctor-patient conversations.The promise is big: faster diagnoses, more personalized care, and a lighter admin load for clinicians. But there’s a catch: most of this data never gets used.

We’ve said it before, and we’ll say it again: healthcare data has the power to transform care. It can personalize treatments and speed up diagnoses in ways we’ve only dreamed of.But here’s the part nobody really likes to talk about: most healthcare data strategies fail before they even get off the ground.

Toronto, Canada – [February 20, 2025] – Private AI, a leader in privacy-preserving artificial intelligence, is proud to announce its integration with NVIDIA NeMo Guardrails to bring advanced privacy and compliance capabilities to enterprises leveraging large language models (LLMs), enabling them to unlock the potential of generative AI while safeguarding sensitive data.

Anonymized and pseudonymized medical data are at the heart of cutting-edge research and innovation in healthcare. By stripping away personal identifiers and adding additional privacy-preserving measures, these data allow for advanced studies without compromising the privacy of individuals.In Japan, as elsewhere, the path to leveraging this valuable resource has been complex due to the need to balance large-scale data use with privacy protection. Thus, under the Act on the Protection of Personal Information (APPI) healthcare providers have faced challenges in sharing and processing medical data for research and innovation purposes, primarily due to strict consent requirements.

The European Data Protection Board (EDPB) has recently provided critical guidance on ensuring GDPR compliance during the development and deployment of AI models.

The US insurance industry operates under a complex landscape of privacy laws and regulations designed to protect consumers’ personal information. At the heart of this regulatory framework are standards developed by the National Association of Insurance Commissioners (NAIC), alongside federal and state laws like the Gramm-Leach-Bliley Act (GLBA).

The Office of the Superintendent of Financial Institutions (OSFI) has set forth guidelines to ensure that Federally Regulated Financial Institutions (FIs) maintain robust data security, risk management, and operational resilience. Private AI’s advanced machine learning and natural language processing technologies provide helpful tools that can help FRFIs meet these requirements efficiently and effectively.

For the longest time, the US was one notable outlier in the global trend of developing federal-level comprehensive privacy laws.

China’s Personal Information Protection Law (PIPL) that come into force November 1, 2021 sets out stringent requirements for the handling,

User reviews have become a crucial element for businesses seeking to understand consumer sentiment, improve products, and build trust with their audience.

AI has undoubtedly taken over the world, becoming an indispensable tool for companies looking to maintain a competitive edge. The global artificial intelligence market size was estimated at USD 196.63 billion in 2023 and is projected to grow at a CAGR of 36.6% from 2024 to 2030.

Under the APPI, businesses must adhere to strict rules regarding the processing of personal information, in particular when it comes to the disclosure or transfer of such information.

As the European Union continues to strengthen its data protection and artificial intelligence (AI) regulations, organizations are seeking innovative ways to ensure compliance. Private AI, a cutting-edge approach to machine learning that prioritizes data privacy, has emerged as a powerful tool in this landscape.

Personally identifiable information (PII) is any data that can be used to identify an individual directly or indirectly, such as their name, social security number, date of birth, gender, ZIP code, and more.

Ontario’s Bill 194, formally known as the Strengthening Cyber Security and Building Trust in the Public Sector Act, 2024, represents a crucial legislative shift, aiming to fortify digital security and elevate trust within public sector entities.

Being able to manage the data and information within a company’s infrastructure is critical for properly assessing when sensitive information is either being mismanaged or to report an “all clear” when company policies are being followed as intended.

The landscape of data protection and privacy has undergone significant transformations worldwide, with Quebec’s Law25 emerging as a pivotal legislative piece within Canada.