The WhyLogs Blog
Our ideas and thoughts on how to run AI with certainty
FEATURED POST
by Isaac Backus, PhD
Applied Data Scientist at WhyLabs
In traditional software, logging and instrumentation have been adopted as
standard practice to create transparency and to make sense of the health of a
complex system. When it comes to AI applications, the lack of tools and
standardized approaches mean that logging is often spotty and incomplete. Here,
I compare two approaches to data logging: sampling and profiling.
I have two goals in this post. First, I will demonstrate that profiling i
Isaac Backus
Oct 29, 2020
- MLOps
- Data Science
- Logging
- Artificial Intelligence
- Machine Learning
- MLOps
- Data Science
- Logging
- Artificial Intelligence
- Machine Learning
OTHER POSTS
WhyLabs: The AI Observability Platform
Alessya Visnjic
Sep 23, 2020
As companies across industries adopt AI applications in order to improve products and stay competitive, very few have seen a return on their investments. That’s because AI operations are expensive...
- AI
- Machine Learning
- Data Science
- Data Visualization
- Artificial Intelligence
Introducing WhyLabs, a Leap Forward in AI Reliability
Alessya Visnjic
Sep 23, 2020
Pandora’s box, according to Greek mythology, was a consequence of mankind’s
first technological revolution. It was because humans harnessed the power of
fire that the gods sent them a package of misfortunes. The moral of the story
seems to be that together with the advantages created by every technological
leap forward, there also come unexpected difficulties.
Over the past decade, my co-founders and I have experienced first hand the
tremendous advantages as well as the difficulties of AI adop
- AI
- Machine Learning
- Startup
- Seattle
whylogs: Embrace Data Logging Across Your ML Systems
Andy DangBernease Herman
Sep 23, 2020
Fire up your MLOps with a scalable, lightweight, open source data logging library
Co-author: Bernease Herman
We are thrilled to announce the open-source package whylogs. It enables data logging for any ML/AI pipeline in a few lines of code. Data logging is a critic...
- Data Science
- MLOps
- DevOps
- Machine Learning
- Logging
Run AI with Certainty
We take the pain out of model and data monitoring so that you spend less time
firefighting, and more time building models.