Events and talks
Find details about our upcoming events—trade shows, meetups, webinars—as well as past events and speaking sessions.
Join the Algorithmia team at Ai4 2021 to learn how MLOps can transform your business in the second half of 2021.
Cementing ML success with AI governance
Learn how one of the leading cement companies in the world uses Algorithmia to drive security and governance in their data science initiatives.
Ai4 2021 Healthcare Summit
Join Algorithmia leaders at the Ai4 2021 Healthcare Summit to explore applications of artificial intelligence in healthcare, and how MLOps can help.
Gartner Data & Analytics Summit
Join the Algorithmia team at the Gartner Data & Analytics Summit to learn how MLOps can transform your business in 2021.
apply(): The ML data engineering conference
Join Algorithmia leaders at apply(), an event for data and ML teams to discuss the practical data engineering challenges faced when building ML for the real world.
The hidden technical debt in Machine Learning Systems
Join the discussion on the 9 areas of functionality that make up model deployment and operations.
Join Algorithmia and industry leaders at ODSC East 2021 to learn how MLOps can accelerate your time-to-value for machine learning.
7 steps to effective AI governance
Join Algorithmia and AI Powered Banking for a webinar about the 7 steps to put an effective governance strategy in place.
2021 enterprise trends in machine learning
Discover the top 10 trends in enterprise machine learning for 2021—and our tips for companies that want to succeed with AI/ML in the coming year.
Algorithmia Insights demo
Learn how to get started with Algorithmia Insights for ML model performance monitoring.
2020 enterprise trends in the new normal
Learn how large enterprises are changing their ML initiatives in reaction to the pandemic and how the industry is trending for the rest of 2020 and beyond.
Machine learning out-of-the-lab and into production
Join industry analyst Michael Azoff and Algorithmia CEO Diego Oppenheimer as they explore the disruption and collaboration between data science and AI engineering on the road to ML production.
Eight must-haves for MLOps success and when to use them
Join Mike Gualtieri, Forrester VP, and Diego Oppenheimer, CEO of Algorithmia, as they discuss the eight critical areas of machine learning operations.
How EY prevents financial crimes using AI/ML
Join Carl Case, Principal at EY, and Diego Oppenheimer, CEO of Algorithmia, to hear how Algorithmia supports EY in delivering a scalable ML service that allows EY's clients to deploy models quickly and securely.
A comprehensive guide to MLOps
Join Patchen Noelke, Senior Director of Product Marketing at Algorithmia, as he presents a framework for understanding enterprise machine learning in the next normal.
Advanced actions on Algorithmia: Governance and security with GitHub Actions
Join James Sutton, Senior Customer Engineering Architect, for an instructional webinar on using GitHub Actions to enable continuous integration for machine learning.
Building versus buying: how to achieve ML operations and management
Join Sam Charrington, TWIML AI podcast host, and Kenny Daniel, Algorithmia CTO, as they discuss what goes into building an MLOps platform and how to evaluate off-the-shelf ML management solutions.
10 measures and KPIs for ML success
Gain leverage and mitigate risks in the enterprise machine learning journey in this webinar.
5 missteps of ML every operations manager can avoid
There’s a lot of excitement right now in the market for machine learning. Many companies view it as integral to the move toward digital transformation and a key competitive advantage. But common missteps can happen along that road.