AI Model Security Best Practices
AI model security means protecting machine learning models from vulnerability and misuse. This includes everything related to an AI model: the data used to train it, the infrastructure it runs on, the algorithms it uses, and the outputs it produces. A model’s behavior is shaped by its training data and runtime inputs in ways that […]
Anaconda Support and Maintenance Policy
This Anaconda Support and Maintenance Policy (“Support Policy”) describes the terms and conditions applicable to the support and maintenance services (“Support Services”) to be provided by Anaconda, Inc. (“We” or “Anaconda”) to the person or entity with a purchased Subscription (“You” or “Customer”) for the Anaconda Offering(s) and Support Services set forth in Your applicable […]
Master Subscription Agreement
This Master Subscription Agreement (“Agreement”) is entered into as of the date of the last signature below (“Effective Date”) by and between Anaconda, Inc., with its principal place of business at 1108 Lavaca Street Suite 110-645, Austin, TX 78701 (“Anaconda”), and the entity identified in the signature block below (“Customer”). This Agreement governs Customer’s use […]
AI Governance Platforms: The 2026 Buyer’s Guide
A four-layer framework for evaluating AI governance platforms across agents, applications, models, and the software supply chain Organizations use AI governance platforms to ensure their AI systems meet regulatory and security requirements across the complete AI lifecycle, from design to production. AI governance has shifted from a compliance consideration to a procurement criterion, driven by […]
Optimizing Freight Logistics with Machine Learning
Flexport leverages Outerbounds to streamline machine learning workflows, improving freight logistics through optimized cost prediction, fraud detection, and enhanced operational efficiency.
Optimizing Asset-Backed Lending with Machine Learning
Setpoint modernizes the credit industry by automating complex financial processes using innovative platforms like Asset OS and Capital OS, enhanced by Outerbounds’ scalable infrastructure.
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 […]