ML at Adept.ai, Autodesk, and Epignosis

A summary of recent talks from enterprises building machine learning platforms with Metaflow at Adept, Autodesk, and Epignosis.
ML at Amazon Prime Video, DTN, and Realtor.com

A summary of recent talks from enterprises building machine learning platforms with Metaflow at Amazon, DTN, and Realtor.com.
One-Third Identify as LGBTQIA+ in State of Data Science Survey Results

October is LGBT history month, and while we look back at the huge strides made so far, it’s important to remember just how much is left to be done. Founded by a Missouri teacher in 1994, LGBT history month focuses on teaching queer history and continuing to shine a light on issues of diversity, equity, […]
New in Metaflow: The Long-Awaited @pypi Decorator

You can now install dependencies from PyPI as well as Conda in your Metaflow steps.
Introducing Pandata: The Scalable Open-Source Analysis Stack

It is no secret that every scientific, engineering, or analytical discipline has its own specialized computing needs. In fact, many of these disciplines have developed entirely separate sets of tools for working with data, covering data storage, reading, processing, plotting, analysis, modeling, and exploration. Unfortunately, most of these existing stacks are based on outdated architectures […]
ML at DeliveryHero, Ramp, and Dell

A summary of recent talks from enterprises building machine learning platforms with Metaflow at DeliveryHero, Ramp, and Dell.
Anaconda Assistant Brings Generative AI to Cloud Notebooks

Anaconda is excited to announce the public release of Anaconda Assistant, an AI-powered Jupyter notebook extension designed to enhance the productivity of data scientists, developers, and researchers. Anaconda Assistant is now available to all users of Anaconda cloud notebooks. Powered by the same large language model behind ChatGPT, the Assistant provides an intuitive chat interface […]
Secure ML with Secure Software Dependencies

Engineers from Chainguard and Outerbunds discuss their common philosophy around security and machine learning workflows.
Securing Your AI Supply Chain webinar Transcript

Access the recording of this webinar here. Host: We are so excited to welcome Frank Yang to today’s webinar. Frank is Anaconda’s Principal Solutions Architect. With a wealth of experience designing and implementing solutions for some of the world’s largest financial institutions, Frank helps organizations leverage open-source software to execute high-value initiatives without compromising on security and […]
Implementing a Full ML Lifecycle with Anaconda Distribution on AWS Graviton

Introduction In this blog, we will do a walk-through of implementing a complete machine learning (ML) lifecycle on AWS-Graviton-based Amazon EC2 instances (AWS Graviton for short from now on) for a real-world fraud detection dataset use case. This is an example, and you can use Anaconda Distribution on AWS Graviton to work on various kinds […]