ARTICLES
A Data-Centric Perspective on Ethical AI
AI Fairness in the EU AI Act Fairness and non-discrimination are two topics of critical importance for the ethical use of artificial intelligence. Time and again, AI has been portrayed negatively in the news because the careless use of technology resulted in unfair...
Build or buy? Choosing the right strategy for your model observability
If you’re using machine learning and AI as part of your business, you need a tool that will give you visibility into the models that are in production: How is their performance? What data are they getting? Are they behaving as expected? Is there bias? Is there data...
AI Infrastructure Alliance Announces DataRobot as a Partner
The AI Infrastructure Alliance (AIIA) announced today that DataRobot joined the Alliance, expanding the rapidly growing list of industry-leading AI companies and communities working together across the world. With its expertise across the entire AI lifecycle, from...
Machine Learning Monitoring: why it matters and how to get it right
Avoid these common ML monitoring mistakes – your model’s success hangs in the balance. So you’ve built a machine learning model that works well in the lab. You’ve validated it, gotten the green light from the internal stakeholders, ensured that it met any regulatory...
Fix your models by fixing your Datasets
By: Atindriyo Sanyal, Vikram Chatterji, Nidhi Vyas, Ben Epstein, Nikita Demir, Anthony Corletti Abstract The quality of underlying training data is very crucial for building performantmachine learning models with wider generalizabilty. However, current machinelearning...
What is MLOps?
Machine learning (ML) becomes effective once models are in production. Organizations, on the other hand, usually underestimate the complexity and challenges of implementing machine learning in production, devoting the majority of their resources to ML development and...
Designing APIs for AI
It’s estimated that anywhere from 50-90% of AI models developed never make it past the AI “valley of death” that exists between the lab and production deployment. This tech talk covers how an API-based approach to building and maintaining AI-enabled applications can...
A Modern Approach to Versioning Large Files for Machine learning and more
Original article (Mandarin) written by ArtiV developer Chen-en Lu (Popcorny) for the MLOps Taiwan Facebook community. Translated and adapted to English by Dave Flynntl;dr ArtiV is smart version control system for large files, especially suited for use on machine...
How to use Duplicate Detection to create Unique Entries
What happens when you have two records which are really meant to be one? Most people with a cell phone have encountered this problem with duplicate contacts. The problem of recognizing them is tricky, but when you find the duplicate, you’ve got another problem:...
Zillow Offers: A Case for Model Risk Management
In the past three years, Zillow invested hundreds of millions of dollars into Zillow Offers, its AI-enabled home-flipping program. The company intended to use ML models to buy up thousands of houses per month, whereupon the homes would be renovated and sold for a...
Connect with Us
Follow US








