Systems | Development | Analytics | API | Testing

Machine Learning

Bringing ML Pipelines to Production - Challenges & Solutions - MLOPs Live #1 - With S&P Global

The session — featuring Ganesh Nagarathnam, Director Analytics & ML Engineering at S & P Global Market Intelligence, and Yaron Haviv, Co-Founder and CTO at Iguazio — goes beyond theory, with industry leaders sharing challenges and practical solutions that involve running Al experiments at scale, versioning, delivery to production, reproducibility and data access.

How to Save Costs (& Time) on Bringing AI to Production - MLOps Live #2 - With Quadient

The session — featuring Jason Evans, Director of DXP Innovation at Quadient, and Yaron Haviv, Co-Founder and CTO at Iguazio — goes beyond theory, with industry leaders sharing challenges and practical solutions that involve running AI experiments at scale, versioning, delivery to production, reproducibility and data access.

Git-Based CI CD for Machine Learning & MLOps - MLOps Live #3 - With Microsoft & GitHub

The session — featuring David Aronchick, Head of OSS ML Strategy at Microsoft; Marvin Buss, Azure Customer Engineer at Microsoft; Zander Matheson, Senior Data Scientist at GitHub; and Yaron Haviv, Co-Founder and CTO at Iguazio — goes beyond theory, with industry leaders sharing challenges and practical solutions that involve running AI experiments at scale, versioning, delivery to production, reproducibility, and data access.

MLOps Automation From A to Z | Jupyter + KubeFlow + MLRun + Nuclio

Short but comprehensive end-to-end pipeline demo using the Iguazio real-time data science platform. MLOps (also known as DevOps for machine learning) is the practice of collaboration and communication between data scientists and data engineers to help manage the production machine learning (ML) lifecycle. Presented by Yaron Haviv, CTO & Co-Founder of Iguazio.

Why Every Web Developer Should Explore Machine Learning

If software's been eating the world for the past twenty years, it's safe to say machine learning has been eating it for the past five. But what exactly is machine learning? Why should a web developer care? This article by Julie Kent answers these questions. I don't have kids yet, but when I do, I want them to learn two things: Whether or not you believe that the singularity is near, there's no denying that the world runs on data.