Name: Towards AI Legal Name: Towards AI, Inc. Description: Towards AI is the world's leading artificial intelligence (AI) and technology publication. Read by thought-leaders and decision-makers around the world. Phone Number: +1-650-246-9381 Email: [email protected]
228 Park Avenue South New York, NY 10003 United States
Website: Publisher: https://towardsai.net/#publisher Diversity Policy: https://towardsai.net/about Ethics Policy: https://towardsai.net/about Masthead: https://towardsai.net/about
Name: Towards AI Legal Name: Towards AI, Inc. Description: Towards AI is the world's leading artificial intelligence (AI) and technology publication. Founders: Roberto Iriondo, , Job Title: Co-founder and Advisor Works for: Towards AI, Inc. Follow Roberto: X, LinkedIn, GitHub, Google Scholar, Towards AI Profile, Medium, ML@CMU, FreeCodeCamp, Crunchbase, Bloomberg, Roberto Iriondo, Generative AI Lab, Generative AI Lab Denis Piffaretti, Job Title: Co-founder Works for: Towards AI, Inc. Louie Peters, Job Title: Co-founder Works for: Towards AI, Inc. Louis-François Bouchard, Job Title: Co-founder Works for: Towards AI, Inc. Cover:
Towards AI Cover
Logo:
Towards AI Logo
Areas Served: Worldwide Alternate Name: Towards AI, Inc. Alternate Name: Towards AI Co. Alternate Name: towards ai Alternate Name: towardsai Alternate Name: towards.ai Alternate Name: tai Alternate Name: toward ai Alternate Name: toward.ai Alternate Name: Towards AI, Inc. Alternate Name: towardsai.net Alternate Name: pub.towardsai.net
5 stars – based on 497 reviews

Frequently Used, Contextual References

TODO: Remember to copy unique IDs whenever it needs used. i.e., URL: 304b2e42315e

Resources

Take our 85+ lesson From Beginner to Advanced LLM Developer Certification: From choosing a project to deploying a working product this is the most comprehensive and practical LLM course out there!

Publication

The best MLOps events and conferences for 2022
Latest

The best MLOps events and conferences for 2022

Last Updated on January 27, 2022 by Editorial Team

Author(s): Ed Shee

Originally published on Towards AI the World’s Leading AI and Technology News and Media Company. If you are building an AI-related product or service, we invite you to consider becoming an AI sponsor. At Towards AI, we help scale AI and technology startups. Let us help you unleash your technology to the masses.

DevOps

Photo by Chris Montgomery onΒ Unsplash

2021 was, quite rightly, touted as β€œThe Year of MLOps”. The MLOps scene exploded with thousands of companies adopting practices and tools aimed at helping them get models into production faster and more efficiently. A multitude of new vendors, consultancies and open source tooling entered the field making it more important than ever to stay on top of what’s happening.

Throughout January I’ve been asking around to find out the best MLOps events people attended last year. There were loads of great suggestions to go through but a handful kept coming up over and over again. I’ve combined those with my own experiences to create a list of the events and conferences you definitely don’t want toΒ miss:

AIIA

AIIA (The AI Infrastructure Alliance) is a non-profit foundation with the goal of bringing together the best individual MLOps tools to build β€œcanonical stacks”. In 2022, AIIA is going to be running a series of events covering different aspects of the MLOps life cycle. The talks will be highly interactive, mostly comprised of technical demonstrations rather than endless slideware

The schedule for their first 4 events looks likeΒ this:

March 3rdβ€Šβ€”β€ŠExperiment Tracking
April 7thβ€Šβ€”β€ŠModel Deployment
May 5thβ€Šβ€”β€ŠMonitoring and Tracking Models
June 2ndβ€Šβ€”β€ŠOrchestration and Pipelines for MachineΒ Learning

Events are virtual and will be published soon on the AIIAΒ site.

MLOps Summit

This was one of the few conferences in 2021 that were totally dedicated to the theme of MLOps. The summit did a great job of gathering speakers from end-user companies like Chick-fil-A, Capital One, and BBC which meant for some really interesting warΒ stories.

The 2022 edition runs 23rdβ€Šβ€”β€Š24th June in San Francisco (and hopefully onlineΒ too)

KubeCon

You can’t have MLOps without the Ops and it’s no secret that a huge chunk of the Ops (and DevOps) world have adopted Kubernetes as their deployment platform of choice. Kubecon has grown large enough to have its own β€œmachine learning and data” track which will be packed full of MLOps content. Kubernetes users and open-source fans can’t afford to miss thisΒ one.

Kubecon EU takes place in Valencia, Spain on 16thβ€Šβ€”β€Š20th May (alsoΒ Virtual)

Kubecon NA will be in Detroit, Michigan on 24thβ€Šβ€”β€Š28thΒ October

MLOps Salon

The team over at Verta.ai put together a couple of micro-conferences (is that a thing?) focused on MLOps last year. I’m usually pretty skeptical of events run by vendors because, more often than not, they are full of product pitches. Excitingly, that wasn’t the case with these. Their applying MLOps at scale event had some brilliant external speakers who were really knowledgeable.

I can’t find any info on a 2022 schedule for these events but I’m hoping they’ll do more of them forΒ sure!

MLOps Community

If you’re not already a member of the MLOps.community then go and join it right now! Throughout 2021 they ran regular meetups, reading groups, coffee sessions, and podcasts. The speakers are a nice mix of vendors, end-users, and open source contributors. The slack channels are also an awesome place to ask for help orΒ advice.

Expect more of the same excellent content inΒ 2022

ODSC

In the past, ODSC (Open Data Science Conference) might have focussed on traditional data science and included some machine learning content but these days it’s more likely the other way around. With ODSC being so big and having so much ML content, the last couple of years has seen more and more MLOps content being included. The trend is bound to stay the same and we’ll see even more great MLOps talks at the ODSC conferences thisΒ year.

ODSC East is in Boston on 19thβ€Šβ€”β€Š21stΒ April

ODSC West is in San Francisco on 1stβ€Šβ€”β€Š3rdΒ November

ODSC Europe is in London on 15thβ€Šβ€”β€Š16thΒ June

ODSC APAC is planned for 7thβ€Šβ€”β€Š8th September and is currently fullyΒ virtual

MLOps World

As I mentioned earlier, there are only a handful of full-blown conferences that are totally dedicated to MLOps… MLOps World is one of them! The event in 2021 was packed full of interesting talks and I fully expect it’ll be even bigger and better inΒ 2022.

The 2022 conference takes place in Toronto, Canada on 7thβ€Šβ€”β€Š10thΒ June

apply()

This conference kept coming up over and over again when I was collecting opinions for this list. Apply() conf has been put together by the team over at Tecton. ML Engineering is the main focus of the conference so anyone who works in the MLOps space is bound to learn something new.

Apply() is back in May 2022 (18th-19th) and isΒ virtual

MLOps London

I can’t make a list of the best events for 2022 and not include my own? That’d just be rude, right? Jokes and nepotism aside, I genuinely believe the MLOps London meetups belong on thisΒ list.

I’ve taken care to make sure all of these meetups not only have great quality MLOps speakers but also are streamed live online so that people all over the world canΒ attend.

MLOps London takes place every two months. You can attend in person in London or follow the youtube channel to watch them live or on-demand.

If I’ve missed an event you loved from last year, let me know in the comments. I’m always looking for places toΒ learn!


The best MLOps events and conferences for 2022 was originally published in Towards AI on Medium, where people are continuing the conversation by highlighting and responding to this story.

Join thousands of data leaders on the AI newsletter. It’s free, we don’t spam, and we never share your email address. Keep up to date with the latest work in AI. From research to projects and ideas. If you are building an AI startup, an AI-related product, or a service, we invite you to consider becoming aΒ sponsor.

Published via Towards AI

Feedback ↓