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
Building an AI Red Team – Talk at Red Hat OpenShift Commons
At my keyote for the Red Hat OpenShift Commons AI Conference I talked about building an AI Red Team whose job it is to fix AI when it goes wrong. With algorithms making more and more decisions in our lives, from who gets a job, to who gets hired and fired, and even...
Congratulations to Core Pachyderm Member for Raising 16M with Microsoft Venture Arm M12
The AI Infrastructure Alliance congratulates Pachyderm on their successful series B, which saw them raise 16M, led by Microsoft's venture arm, M12, among others. Excerpt below: *** Today, we’re excited to announce we’ve raised $16 million in Series B financing led by...
Building and End-to-End MLOPs platform with Pachyderm, Determined AI and Seldon.
In this excellent tutorial, we walk through how to build and end to end MLOps platform with Determined, Seldon and Pachyderm.
Open Source Myths and Half-Truths: Part 1
In this article from Seldon evangelist, Ryan Dawson, we get a fantastic history of open source and how it's changed in the years since the early Linux revolution. Over time, we've seen a dramatic prolifertion of the new open source models and licenses. In the early...
Will AutoML Replace Data Scientists?
In this article, KD Nuggets authors Joseph Chin, Aifaz Gowani, Gabriel James, and Matthew Peng ask if AutoML services from Amazon, Google and Microsoft will replace data scientists in the long run. The data science pipeline is a complicated one with a lot of manual...
Top Books to Make Yourself a Deep Learning Hero
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