AI INFRASTRUCTURE ALLIANCE
Building the Canonical Stack for Machine Learning
Our Work
At the AI Infrastructure Alliance, we’re dedicated to bringing together the essential building blocks for the Artificial Intelligence applications of today and tomorrow.
Right now, we’re seeing the evolution of a Canonical Stack (CS) for machine learning. It’s coming together through the efforts of many different people, projects and organizations. No one group can do it alone. That’s why we’ve created the Alliance to act as a focal point that brings together many different groups in one place.
The Alliance and its members bring striking clarity to this quickly developing field by highlighting the strongest platforms and showing how different components of a complete enterprise machine learning stack can and should interoperate. We deliver essential reports and research, virtual events packed with fantastic speakers and visual graphics that make sense of an ever-changing landscape.
Download the Enterprise Generative AI Adoption Report
Oct 2023
Our biggest report of the year covers the wide world of agents, large language models and smart apps. This massive guide dives deep into the next-gen emerging stack of AI, prompt engineering, open source and closed source generative models, common app design patterns, legal challenges, LLM logic and reasoning and more.
Get it now. FREE.
AI Landscape
Check out our constantly updated AI Landscape Graphic that shows the full range of capabilities for major MLOps tools instead of just pigeonholing them into a single box that highlights only one aspect of their primary characteristics.
Today’s MLOps tooling offers a broad sweep of possibilities for data engineering and data science teams. You can’t easily see those capabilities in typical graphics that show a bunch of logos so we’ve engineered a better info-graphic to let you quickly figure out if a tool does what you need now.
Events – Past and Future
Check here for our upcoming events and to watch videos from past events. We put on 3 to 4 major events every year and they’re packed with fantastic speakers from across the AI/ML ecosystem.
MEMBERS
ARTICLES
Machine Learning Isn’t Models, It’s Features
Why feature engineering and feature management is as important to your ML project as the algorithm you choose There are endless articles and tutorials on topics in Data Science and ML, from Scikit-learn to Keras to PyTorch. In just a few hours, you can create a GAN to...
How to set up an ML Data Labeling Pipeline: Best Practices and Examples
Supervised Machine Learning projects typically require labeled data to train the algorithms. You want to use high-quality data that corresponds to the problem you are trying to solve. But how do you obtain this kind of data? In this session, Magdalena Konkiewicz shows...
What’s the difference: JSON diff and patch
What will the distributed data environment in Web3 look like? How will we have a distributed network of data stores which allow updates and synchronizations? What is it that allows git to perform distributed operations on text so effectively? Is it possible to do the...
Best Practices in ML Observability for Monitoring, Mitigating and Preventing Fraud
Every year, fraud costs the global economy over $5 trillion. In addition to taking a deeply personal toll on individual victims, fraud impacts businesses in the form of lost revenue and productivity as well as damaged reputation and customer relationships. AI...
5 Ways to Prevent Data Leakage Before it Spills Over to Production
Data leakage isn’t new. We’ve heard all about it. And, yes, it’s inevitable. But that’s exactly why we can’t afford to ignore it. If data leakage isn’t prevented early on it ends up spilling over into production, where it’s not quite so easy to fix. Data leakage in...
Getting in Shape with a Raspberry Pi, an OAK-1 and ClearML
Locking your screen from a raspberry pi and only unlocking it again when you did enough pushups, what a world we live in. The whole solution in action This is the more in-depth, accompanying blogpost of this youtube video, go check it out first if you haven’t already....
Connect with Us
Follow US