Mozilla’s Journey to Scalable Machine Learning
Mozilla enhanced their ML operations using Outerbounds for scalability and faster deployment, ensuring privacy.
Accelerating Cancer Treatment with Scalable Machine Learning at Artera
Artera streamlined its machine learning workflow and eliminated blockers using Outerbounds’ platform.
Automate Conda Publishing with Anaconda GitHub Actions
Publishing your package is part of an automated workflow What’s New If you’ve built, maintained, and published conda packages, you’ll be familiar with this process: you tag a release (mark the version you’re shipping) and your pipeline takes it from there. It builds the package, runs the tests and (fingers crossed) everything comes back green. […]
Best AI Development Tools for 2026
Identifying the best tools to use for building and training artificial intelligence (AI) applications has become a challenge in 2026 because there have never been as many AI development tool options as there are today. The scope has shifted fundamentally: most AI application development now starts with a pre-trained model that you access via API […]
Top Enterprise AI Use Cases in 2026 By Industry
Enterprise AI has crossed a threshold. Individual AI tools have given way to integrated workflows: organizations embed artificial intelligence into the ways financial analysts model risk, manufacturers reduce downtime, customer support teams resolve issues end-to-end, and HR teams screen candidates at scale. According to Deloitte’s State of AI in the Enterprise 2026 report, 66% of […]
What Are Python Wheels? A Guide to Pre-Built Python Packages
When you type pip install numpy into your terminal, it usually finishes in seconds. What you may not realize is numpy installs so fast because a pre-built wheel exists for your platform. For packages where no wheel is available, or in environments where the wrong version is pulled, that same command can flood your terminal […]
From Compliance Burden to Competitive Advantage
From Compliance Burden to Competitive Advantage How Financial Firms Use Anaconda Table of Contents Financial institutions face a version of this problem constantly: the infrastructure powering modern AI and analytics, including open source libraries, shared development environments, and model deployment pipelines, was not designed with bank-grade compliance in mind. The teams that need to move […]
The Ultimate Guide to AI Model Deployment
Corporate investment in AI has reached a scale that would have seemed implausible just a few years ago. Organizations are channeling billions of dollars into AI infrastructure, driven by the AI race among hyperscalers (Microsoft, Alphabet, Amazon, Meta) and the rapid adoption of agentic AI. Gartner estimates worldwide spending on AI will reach $2.5 trillion […]
Introducing the Next-Gen Anaconda Command Line Interface (CLI)
What’s New If you build with Python, ML, or AI, you’ve spent more hours than you would like setting up your environment instead of using it and figuring out which Python version your machine is actually using. Re-pointing channels every time you switch machines. The Anaconda Command Line Interface (CLI) is a single executable that […]
Main-X Channel: More Packages, Same Trusted Source
Main-x channel is now generally available. Read the latest blog for more information. What’s New Every Anaconda user has hit the same wall. They run conda install, and instead of a package, they get a PackagesNotFoundError. The package is popular on PyPI. But it isn’t in Anaconda’s main channel and now, that means they have […]