Read the Latest From Limina

MLOps & Machine Learning Deployment at Scale

9 Companies to Help You Get Your Privacy $hit Together

Deploying Transformers at Scale

Transformer networks have taken the NLP world by storm, but the sheer size of these networks presents new challenges for deployment, such as how to provide acceptable latency and unit economics.

Parameter Prediction & Training Without SGD with Prof. Graham Taylor

5 Facts You Probably Didn’t Know About Data Privacy

Data Privacy, Law, and Cybersecurity with Carole Piovesan

Carole Piovesan discusses legal responsibilities, what companies are getting wrong with data governance, and more.

An interview with Sheila Jambekar, CPO at Plaid

GDPR compliance, privacy and engineering team collaboration, and common mistakes companies make with their data.

Private AI Secures $3.15 Million Seed Round to Streamline Privacy Compliance for Enterprises

TORONTO, ONT., Sept. 15, 2021— Private AI, a developer of privacy-preserving machine learning and natural language processing tools, is pleased to announce that it has secured $3.15 million in seed funding to improve their product offering, expand the team, and accelerate their acquisition of domestic and international customers.

Anonymized Data is Useless: Fact or Fiction

“When is anonymization useful?” is a tricky question, because the answer is highly data-type- and task-dependent.

Data Anonymization: Perspectives from a Former Skeptic

On the misleading ways journalists and industry use the term "anonymization."

Demystifying De-identification

Understanding key tech for data protection regulation compliance

What It Really Takes to Build An AI System: It’s more complicated than many think

Building an AI system sounds straightforward until it isn't. From sourcing quality training data to handling real-world edge cases, productionizing models, and maintaining them over time, the true cost of building your own is far greater than most teams anticipate. Here's an honest breakdown of what it actually takes.

Natural Language v. Regex: The Context wars

Regexes are highly effective in the perfect world of computer data, but unfortunately the real world is much more complicated.

Customers Are Demanding Privacy

In the past three years there has been a massive wake-up in customer awareness about privacy. Many customers are now refactoring how they buy, taking their business elsewhere if they don’t trust a company’s data practices.

Privacy Enhancing Technologies Decision Tree

Privacy Enhancing Technologies Decision Tree: for developers, managers, and founders looking to integrate privacy into their software pipelines and products.