AI INFRASTRUCTURE ALLIANCE

Building the Canonical Stack for Machine Learning

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 establishing clean APIs, integration points, and open standards for how different components of a complete enterprise machine learning stack can and should interoperate.  That lets organizations make better decisions about the tools they’ll deploy in the AI/ML application stacks of today and tomorrow.

About

OUR MISSION

The AI Infrastructure Alliance’s mission is to help organizations:

1) Establish a canonical stack for Artificial Intelligence (AI) and Machine Learning (ML) Operations (MLOps)

2) Develop ideal best practices and architectures for doing AI/ML at scale in enterprise organizations

3) Foster openness for algorithms, tooling, libraries, frameworks, models and datasets in AI/ML

4) Advocate for technologies, such as differential privacy and homomorphic encryption, that helps anonymize data sets and protect privacy

5) Work towards universal standards to share data between AI/ML applications

MEMBERS

ARTICLES

Lead with DevSecOps to Lower Risk and Raise Value

Lead with DevSecOps to Lower Risk and Raise Value

Developing and deploying AI-powered systems and applications is a complex business, especially in our extended remote reality. You’re likely facing an uphill climb and let’s face it, huge risks. The way to clear the obstacles, lower the risks, and raise the value you...

What are AI attacks?

What are AI attacks?

What are AI attacks? Introduction AI is the gamechanger of this decade. It is rapidly transforming our world and everyday life. The underlying technology, called Machine Learning (ML), is all around us. It’s ML that decides whether you get a loan sanctioned, how much...

Model Monitoring for Financial Fraud Classification

Model Monitoring for Financial Fraud Classification

Every $1 of fraud loss costs financial services firms $4 in losses [1]. These losses stem from incurred interest, fines and legal fees, labor and investigation costs, and external recovery expenses. To avoid this, financial services firms deploy machine learning...

Data Exchange Podcast (Episode 79) Hyun Kim

Data Exchange Podcast (Episode 79) Hyun Kim

This week’s guest is Hyun Kim, co-founder and CEO of Superb AI, a startup building tools to help companies manage data across the entire machine learning application lifecycle. This includes tools to label, store, and monitor data assets that power all computer vision...

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