Machine Learning

Data protection is a critical concern in today’s digital world. As more and more data are collected and processed, the need for effective data protection measures becomes increasingly important. Structured, semi-structured, and unstructured data all present unique challenges for data protection, and it’s essential to understand the differences between them in order to implement effective … Read more

At Private AI, we are building a privacy suite centered around personally identifiable information (PII) detection and remediation in unstructured data, such as text. Users interact with our system via a REST API, but what makes us different is that we distribute our system as a container that our customers themselves run. It’s counterintuitive to send data to … Read more

In the previous episode of Private AI’s ML Speaker Series, Patricia Thaine (CEO of Private AI) sat down with Dr. Aida Nematzadeh (Staff Research Scientist at DeepMind) to discuss machine learning models and multimodal learning.  Before joining DeepMind, Dr. Nematzadeh was a postdoctoral researcher at UC Berkeley advised by Tom Griffiths and affiliated with the … Read more

There are several resources available on the internet on how to scale your Kubernetes pods based on CPU, but when it comes to Kubernetes pods based on GPU, it’s hard to find a concise breakdown that outlines each step and how to test. In this article, we outline the steps to scale Kubernetes pods based … Read more

In the previous episode of Private AI’s ML Speaker Series, Patricia Thaine (CEO of Private AI) sat down with Arvid Frydenlund (PhD candidate at the University of Toronto in the Computer Science Department and Vector Institute) to discuss his latest paper Language Modelling via Learning to Rank, presented at AAAI-2022 and published at the 6th Workshop on Structured Prediction for … Read more

In the latest episode of Private AI’s ML Speaker Series, Patricia Thaine (CEO of Private AI) sits down to chat about MLOps and Machine Learning Deployment at Scale with Luke de Oliveira from Twilio. Luke de Oliveira is the Director of Machine Learning at Twilio, working at the intersection of technology and product. He is building Twilio Intelligence, a … Read more

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.

Previously on Private AI’s Speaker Series, our CEO Patricia Thaine sat down with data privacy law expert Carol Piovesan to talk about the legal ramifications ML teams should be aware of and what most people misunderstand about data governance. This past week on Private AI’s ML webinar, we sat down with Professor Graham Taylor to … Read more

There’s a saying ‘the last 20% of the work takes 80% of the time’ and nowhere is that more true than AI systems.