Develop Faster with Guided Journeys and Fast Bakery
Today, as part of our release week, we’re launching two major features to help you develop ML/AI faster: Guided Journeys and Fast Image Building.
Outerbounds for the Next Decade – and This Week!
Get a look at our vision for the next decade of ML/AI and the major feature launches happening this week.
350M Tokens Don’t Lie: Love And Hate In Hacker News
We analyzed topics covered by 100k Hacker News posts and the sentiments they evoke using Metaflow.
Introducing Evaluations Driven Development: Building AI Assistants That Deliver Real Value
At Anaconda, we’ve developed a rigorous new approach to AI development called Evaluations Driven Development (EDD). By continuously testing AI models using real-world cases and user feedback, EDD enables us to create AI assistants that are reliable, relevant, and truly impactful for users. Our Anaconda Assistant, an AI coding companion for data scientists, exemplifies the […]
New Release: Anaconda Distribution 2024.06
We are excited to announce the 2024.06 release of Anaconda Distribution, Anaconda’s free data science distribution installer, which includes: Python – the most widely used programming language for data science and machine learning conda – the open-source, cross-platform package and environment manager Anaconda Navigator – our desktop application, built on conda, that enables you to […]
How To Organize Continuous Delivery of ML/AI Systems: a 10-Stage Maturity Model
This article outlines ten stages of operational maturity for deploying ML/AI systems, providing a framework for organizations to assess where they are and what to do next.
Build Reproducible and Scalable Computational Biology Systems
This post introduces high-level trends at the intersection of biology and AI, discusses new (and old) technical challenges in building reproducible and scalable systems for AI-driven computational biology, and how frameworks like Metaflow can help address them.
Outerbounds Platform on All Clouds
Outerbounds Platform now runs on all major cloud providers: AWS, GCP, and Azure. This means you can deploy the same production-grade ML platform regardless of your primary cloud provider.
Anaconda Joins IBM, Meta, and More in AI Alliance to Advance Open-Source AI Adoption, Safety, and Accessibility
February 8, 2024 – Anaconda Inc., the leading provider of the world’s most popular source code for AI, machine learning, and data science, today announced its membership in the AI Alliance, an international community of developers, researchers, and organizations dedicated to promoting open, safe, and responsible artificial intelligence (AI). Joined by industry leaders like IBM, […]
Visual Data Analysis with Python in Excel: Using Histograms
Many types of professionals analyze data using different skills. Microsoft Excel users analyze data using Excel PivotTables, while data scientists use statistical and machine learning models. Despite this diversity, Excel users, data scientists, and statisticians share one universal data analysis skill: visually analyzing data. This is the first in a five-part blog series introducing you […]