November 11, 2022
Last Updated:
November 15, 2022

Data Science and Machine Learning conferences to attend in 2023

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Planning for 2023 and looking for the conferences to attend? There is a myriad of great events focused on Data Science, applied Machine Learning, and MLOps! 

We made the research and selected the most interesting events and conferences happening in 2023. And the best part? Some of the conferences are free to attend or publish the content after the event. We hope the list will help you plan your schedule for 2023. If we’re missing some great events, please let us know (our Discord is the best place to do it)! We’ll update this post at least once per quarter. 

Disclaimer: information about listed events comes from their websites. We simply put it together.

DataCouncil

Austin, March 28-30, 2023
Organized by: Data Council
Price: $, content freely available afterward
Program: not yet available, here is the
program from 2022.

The event covers the entire data stack: from data infrastructure to data engineering, data science, machine learning, and data analytics. The conference aims to bridge the gap between them. Organizers invite open-source contributors and industry experts from data-related projects for deeply technical content. After the event, all content is published.

Previous talks are freely available on the Data Council YouTube Channel.

MLconf

MLconf NYC: New York, March 30, 2023
MLconf SF: San Francisco, dates to be confirmed

Organized by: MLconf
Price: $, content freely available afterward
Program: not yet available, here is the 2022 program for
New York and San Francisco.

MLconf is devoted to machine learning and data science and agnostic of any tool, platform, or company. The conference topics cover data science, data engineering, computer vision, AI research, and machine learning. The attendees are data practitioners, startup founders, professors, and students. 

Past sessions are freely available on MLconf website.

PyDATA

PyCon DE & PyDATA Berlin: Berlin, April 17-19, 2023
PyDATA NYC
: New York, dates to be confirmed
PyDATA Global
: virtual, dates to be confirmed
Organized by: NumFOCUS
Price: $, content freely available afterward
Program: not yet available, here is the 2022 program for New York and Berlin and the 2021 program for PyDATA Global.

PyDATA conferences are dedicated to data analysis tools and provide an opportunity for their users and developers to share ideas and learn from each other. Topics cover best practices, new approaches, and emerging technologies for data management, processing, analytics, and visualization. The program also includes workshops and networking with fellow members of the Python and PyData communities. 

Previous talks are freely available on the PyData YouTube Channel.

Want to see an example of the talk? Here is one from PyCon DE & PyDATA Berlin by Emeli Dral, Co-founder & CTO of Evidently AI: Detecting drift: how to evaluate and explore data drift in machine learning systems.

ODSC 

ODSC East: Boston, May 9-11, 2023
ODSC Europe
: London, June 2023
ODSC West
: San Francisco, dates to be confirmed
Organized by: Open Data Science Conference
Price: $, content freely available afterward

As organizers put it, the goal of the conference is to bring together the global data science community to encourage the exchange of innovative ideas and the growth of open source software. Conference focus areas: machine learning, deep learning, NLP, MLOps, and data engineering. The program includes training sessions, workshops, talks, networking reception, and a career expo. 

Selected talks are available on the ODSC YouTube channel.

apply (conf)

Virtual, dates to be confirmed
Organized by: Tecton
Price: FREE, content freely available afterward
Program: not yet available, here is the
program from 2022.

It is a free virtual event on data engineering for applied machine learning that targets data and ML teams. During the conference, participants will share best practice development patterns, tools of choice, and emerging architectures they use to build and manage production ML applications. Other topics include managing labeling pipelines, transforming and serving features in real-time, and serving at scale. 

Previous talks are freely available on Tecton’s YouTube channel.

MLOps World

Virtual, dates to be confirmed
Organized by: Toronto Machine Learning Society (TMLS)
Price: $, content freely available afterward
Program: not yet available, here is the
program from 2022.

As organizers put it, the goal for MLOps World is to help companies put more models into production environments. It explores the best practices, methodologies, and principles of effective MLOps and will be interesting to those working towards a live production environment or currently working in production. 

Check out previous talks on the MLOps World YouTube channel or read the recap blog by James Le, where he summarises content from the talks he found most useful.

MLOps Summit

San Francisco, dates to be confirmed
London, dates to be confirmed
Organized by: RE-WORK
Price: $, content freely available afterward
Program: not yet available, here is the 2022 program for
San Francisco and London.

The summit’s focus is creating efficient ML workflows and decreasing time to production. Participants from industry and academia will discuss how to optimize the ML lifecycle and streamline pipelines for better production. Among the covered topics are automation, architectural practices, data efficiency, ML pipelines and workflows, and deployment. 

Selected talks are available on the RE-WORK YouTube channel.

Data + AI Summit

San Francisco, dates to be confirmed
Organized by: Databricks
Price: $, content freely available afterward
Program: not yet available, here is the
program from 2022.

The event brings together data teams to discuss data analytics, data engineering, data lakehouses, data science, machine learning, MLOps, data security, and governance, as well as academic and advanced industrial research. 

Talks from DATA + AI Summit 2022 are freely available on Databricks YouTube channel.

Data Natives

Berlin, dates to be confirmed
Organized by: Data Natives
Price: $, past talks are available for a fee
Program: not yet available, here is the
program from 2022.

The conference is a meeting point for those excited by the boom in data science, machine learning, and all data-infused tech. The program includes talks, workshops, and startup showcases. The 2022 conference covered data economy, NLP, transformer networks, AutoML, graph databases, and augmented analytics.

Coalesce

San Diego or online, October 16-20, 2023
Organized by: dbt Labs
Price: $ but free if you attend online, content freely available afterward
Program: not yet available, here is the
program from 2022.

It is the analytics engineering conference that covers all facets of working with data. Topics include automation, data pipelines, data change management and accessibility, data observability, analytics career, data teams routine, and more. The conference’s focus is on the higher leverage and higher impact data work. The program also includes training sessions, workshops, and community networking.

Previous talks are freely available on the dbt YouTube Channel.

TMLS Summit

Toronto, dates to be confirmed
Organized by: Toronto Machine Learning Society (TMLS)
Price: $
Program: not yet available, here is the
program from 2022.

TMLS Summit is a blend of cutting-edge research, workshops, and industry case studies. Last year’s topics included ML observability and monitoring, deployment, Kubernetes for MLOps, NLP, data analytics, and more. Though you need a ticket for the conference, there is a free career fair and startup showcase.

Summing up

There are so many Data and Machine Learning conferences out there that choosing which to attend may be overwhelming. We listed the most interesting events to participate in 2023 . Hope that helps to navigate the space and select the ones that suit your needs. Of course, the list is not the ultimate, so do not hesitate to jump to our Discord and let us know what is missing! 

We’ll be revisiting the list to keep the information up-to-date and add your suggestions.

[fs-toc-omit]While you are here
Evidently is an open-source tool for ML monitoring. It helps evaluate, test, and monitor the performance of ML models from validation to production. 

Check out the project on GitHub ⟶

Join our ML in production Discord channel ⟶
https://www.linkedin.com/in/dmaliugina/
Dasha Maliugina

Community Manager

You Might Also Like:

ML in production newsletter

Get a roundup with the best blogs, links and events every month. No spam.

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November 11, 2022
Last Updated:
November 15, 2022

Data Science and Machine Learning conferences to attend in 2023

Community
Get EVIDENTLY UPDATES
New features, integrations, and code tutorials.
Thank you! Please check your email to confirm subscription!
Oops! Something went wrong while submitting the form.

Planning for 2023 and looking for the conferences to attend? There is a myriad of great events focused on Data Science, applied Machine Learning, and MLOps! 

We made the research and selected the most interesting events and conferences happening in 2023. And the best part? Some of the conferences are free to attend or publish the content after the event. We hope the list will help you plan your schedule for 2023. If we’re missing some great events, please let us know (our Discord is the best place to do it)! We’ll update this post at least once per quarter. 

Disclaimer: information about listed events comes from their websites. We simply put it together.

DataCouncil

Austin, March 28-30, 2023
Organized by: Data Council
Price: $, content freely available afterward
Program: not yet available, here is the
program from 2022.

The event covers the entire data stack: from data infrastructure to data engineering, data science, machine learning, and data analytics. The conference aims to bridge the gap between them. Organizers invite open-source contributors and industry experts from data-related projects for deeply technical content. After the event, all content is published.

Previous talks are freely available on the Data Council YouTube Channel.

MLconf

MLconf NYC: New York, March 30, 2023
MLconf SF: San Francisco, dates to be confirmed

Organized by: MLconf
Price: $, content freely available afterward
Program: not yet available, here is the 2022 program for
New York and San Francisco.

MLconf is devoted to machine learning and data science and agnostic of any tool, platform, or company. The conference topics cover data science, data engineering, computer vision, AI research, and machine learning. The attendees are data practitioners, startup founders, professors, and students. 

Past sessions are freely available on MLconf website.

PyDATA

PyCon DE & PyDATA Berlin: Berlin, April 17-19, 2023
PyDATA NYC
: New York, dates to be confirmed
PyDATA Global
: virtual, dates to be confirmed
Organized by: NumFOCUS
Price: $, content freely available afterward
Program: not yet available, here is the 2022 program for New York and Berlin and the 2021 program for PyDATA Global.

PyDATA conferences are dedicated to data analysis tools and provide an opportunity for their users and developers to share ideas and learn from each other. Topics cover best practices, new approaches, and emerging technologies for data management, processing, analytics, and visualization. The program also includes workshops and networking with fellow members of the Python and PyData communities. 

Previous talks are freely available on the PyData YouTube Channel.

Want to see an example of the talk? Here is one from PyCon DE & PyDATA Berlin by Emeli Dral, Co-founder & CTO of Evidently AI: Detecting drift: how to evaluate and explore data drift in machine learning systems.

ODSC 

ODSC East: Boston, May 9-11, 2023
ODSC Europe
: London, June 2023
ODSC West
: San Francisco, dates to be confirmed
Organized by: Open Data Science Conference
Price: $, content freely available afterward

As organizers put it, the goal of the conference is to bring together the global data science community to encourage the exchange of innovative ideas and the growth of open source software. Conference focus areas: machine learning, deep learning, NLP, MLOps, and data engineering. The program includes training sessions, workshops, talks, networking reception, and a career expo. 

Selected talks are available on the ODSC YouTube channel.

apply (conf)

Virtual, dates to be confirmed
Organized by: Tecton
Price: FREE, content freely available afterward
Program: not yet available, here is the
program from 2022.

It is a free virtual event on data engineering for applied machine learning that targets data and ML teams. During the conference, participants will share best practice development patterns, tools of choice, and emerging architectures they use to build and manage production ML applications. Other topics include managing labeling pipelines, transforming and serving features in real-time, and serving at scale. 

Previous talks are freely available on Tecton’s YouTube channel.

MLOps World

Virtual, dates to be confirmed
Organized by: Toronto Machine Learning Society (TMLS)
Price: $, content freely available afterward
Program: not yet available, here is the
program from 2022.

As organizers put it, the goal for MLOps World is to help companies put more models into production environments. It explores the best practices, methodologies, and principles of effective MLOps and will be interesting to those working towards a live production environment or currently working in production. 

Check out previous talks on the MLOps World YouTube channel or read the recap blog by James Le, where he summarises content from the talks he found most useful.

MLOps Summit

San Francisco, dates to be confirmed
London, dates to be confirmed
Organized by: RE-WORK
Price: $, content freely available afterward
Program: not yet available, here is the 2022 program for
San Francisco and London.

The summit’s focus is creating efficient ML workflows and decreasing time to production. Participants from industry and academia will discuss how to optimize the ML lifecycle and streamline pipelines for better production. Among the covered topics are automation, architectural practices, data efficiency, ML pipelines and workflows, and deployment. 

Selected talks are available on the RE-WORK YouTube channel.

Data + AI Summit

San Francisco, dates to be confirmed
Organized by: Databricks
Price: $, content freely available afterward
Program: not yet available, here is the
program from 2022.

The event brings together data teams to discuss data analytics, data engineering, data lakehouses, data science, machine learning, MLOps, data security, and governance, as well as academic and advanced industrial research. 

Talks from DATA + AI Summit 2022 are freely available on Databricks YouTube channel.

Data Natives

Berlin, dates to be confirmed
Organized by: Data Natives
Price: $, past talks are available for a fee
Program: not yet available, here is the
program from 2022.

The conference is a meeting point for those excited by the boom in data science, machine learning, and all data-infused tech. The program includes talks, workshops, and startup showcases. The 2022 conference covered data economy, NLP, transformer networks, AutoML, graph databases, and augmented analytics.

Coalesce

San Diego or online, October 16-20, 2023
Organized by: dbt Labs
Price: $ but free if you attend online, content freely available afterward
Program: not yet available, here is the
program from 2022.

It is the analytics engineering conference that covers all facets of working with data. Topics include automation, data pipelines, data change management and accessibility, data observability, analytics career, data teams routine, and more. The conference’s focus is on the higher leverage and higher impact data work. The program also includes training sessions, workshops, and community networking.

Previous talks are freely available on the dbt YouTube Channel.

TMLS Summit

Toronto, dates to be confirmed
Organized by: Toronto Machine Learning Society (TMLS)
Price: $
Program: not yet available, here is the
program from 2022.

TMLS Summit is a blend of cutting-edge research, workshops, and industry case studies. Last year’s topics included ML observability and monitoring, deployment, Kubernetes for MLOps, NLP, data analytics, and more. Though you need a ticket for the conference, there is a free career fair and startup showcase.

Summing up

There are so many Data and Machine Learning conferences out there that choosing which to attend may be overwhelming. We listed the most interesting events to participate in 2023 . Hope that helps to navigate the space and select the ones that suit your needs. Of course, the list is not the ultimate, so do not hesitate to jump to our Discord and let us know what is missing! 

We’ll be revisiting the list to keep the information up-to-date and add your suggestions.

[fs-toc-omit]While you are here
Evidently is an open-source tool for ML monitoring. It helps evaluate, test, and monitor the performance of ML models from validation to production. 

Check out the project on GitHub ⟶

Join our ML in production Discord channel ⟶
https://www.linkedin.com/in/dmaliugina/
Dasha Maliugina

Community Manager

You Might Also Like:

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