ARTICLES
Best Practices In ML Observability for Click-Through Rate Models
Total digital ad spending is expected to reach $455.3 billion this year. Of that, 55.2% will go to display advertising and 40.2% will go to search. With digital formats commanding the lion’s share of ad dollars, marketers need to continuously optimize the...
How to Validate the Quality of Your Synthetic Data
In this article, we take you through an end-to-end use-case where you use the original data to train a model that synthetic data, validate the synthetic data quality standards against original data using the Great Expectations library.
AI Infrastructure Alliance Announces NVIDIA as Platinum Sponsor
The AI Infrastructure Alliance (AIIA) today announced that NVIDIA has joined as a platinum sponsor, expanding the growing list of industry-leading AI companies and communities working with the alliance. With its expertise across multiple industries and technologies, NVIDIA plans to work with the AIIA community to accelerate AI deployments and simplify AI/ML for all enterprise and community practitioners.
![An Introduction to Bounding Boxes [+ Best Practices]](https://ai-infrastructure.org/wp-content/uploads/2022/03/Feature-image-400x250.jpeg)
An Introduction to Bounding Boxes [+ Best Practices]
Introduction These days, artificial intelligence is a part of our everyday lives. Whether it’s the sensors in our cars telling us not to switch lanes or a camera filter on our smartphones, machine learning algorithms are being put to work. In the past 20 years, we’ve...
Deep dive into deepfake detection
A combination of “deep learning” and “fake media,” a deepfake is manipulated video content that is nearly indistinguishable from authentic video. Deepfake creators often target celebrities, world leaders, and politicians, manipulating the video to portray the subject...
Why We Started the AIIA and What It Means for the Rapid Evolution of the Canonical Stack of Machine Learning
A detailed discussion of why we started the AIIA, what our work means for you and what it all means for the rapid evolution of a standardized platform for machine learning.
The New Landscape of Machine Learning for the New Year
Before the holiday seasons, we reached out to AIIA members and researched many of the companies outside the AIIA to build a comprehensive understanding of their capabilities. You may recall that in the early days of AIIA we built a similar graphic but with...
How to Monitor Machine Learning Models in Production like a Pro
More and more machine learning models are deployed to production every day. These models play a crucial role in deciding whether an individual will be authorized a loan they applied for, whether an intrusion detection system will detect suspicious network activity and...
Strategies that Deliver a Big Boost to Your Machine Learning Computational Efficiency
How companies can decrease the cost and increase efficiency of specialized hardware for their machine learning efforts.
Seldon and Pachyderm – Two Foundational Pieces of the Machine Learning Loop Come Together to Take Your Model from Training to Production
In this tutorial we walk through two key pieces of the Machine Learning loop, data versioning and model serving, using Pachyderm and Seldon.
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