WHAT IS THE AI INFRASTRUCTURE ALLIANCE?
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.
SHORT MISSION STATEMENT
Version 20200827-002
Read the full mission statement right here.
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
KEY MEMBERS
(full list on the partners page)
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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
Google Cloud Introduces Advanced AI Pipelines Packages
Machine Learning at scale is a complex web of glued together software. Building an enterprise pipeline that's seamless and easy to use is a challenge most companies never seem to get right. The tools that support AI seem like they're almost a decade behind software...
When to Use CPU, GPUs or TPUs
It's an amazing time for data scientists everywhere, as the hardware needed to crunch numbers like never before comes online. It wasn't long ago that there were only a few chip manufacturers in the world, Intel and AMD, working on essentially the same architecture for...
Keras Creator Francois Chollet Tells Us Why Games are a Terrible Measure of AI Intelligence
In this interview with the Verge, well respected machine learning researcher and Keras creator Francois Chollet talks about why games like Go and DOTA2 don't get us any closer to real, artificial general intelligence. That's why he created a new kind of Turing style...
Roads, Where We’re Going We Don’t Need Roads
There’s an exciting side to AI. Intense, multi-million dollar research over many years that leads to a billion dollar algorithmic breakthrough that keeps self-driving cars from crashing or detects lung cancer better than ever is glamorous part of intelligent...