Data Conferences to Attend in 2023
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Data Conferences to Attend in 2023

Steven Johnson
Steven Johnson

As the data industry continues to grow and evolve, attending conferences is a great way to stay up-to-date on the latest trends, tools, and techniques. In this post, we've curated a list of conferences that cover a wide range of topics, from big data and machine learning to data governance and data culture. Whether you're a data scientist, data engineer, or just someone interested in the field, these conferences are sure to provide valuable insights and networking opportunities. So mark your calendars, book your tickets and get ready to learn, grow, and connect with the data community.

1) Data Teams Summit

  • Dates: Jan 25
  • Location: Online

Data Teams Summit is a virtual conference that focuses on the teams and individuals who manage and monitor data pipelines. The conference, which is held annually and lasts for one day, features discussions led by data professionals from forward-thinking organizations. They will share their experiences and insights on how they work to improve predictability, reliability, and economic efficiency in their data pipelines. The conference aims to empower data teams and provide a platform for them to share their knowledge and learn from one another.

2) Data Science Salon Austin

  • Dates: February 21-22
  • Location: Austin, TX or Online

Data Science Salon Austin is a two-day conference tailored to bring together industry leaders and specialists in the field of AI and machine learning. The conference is designed to host 500 attendees, making it an intimate event that provides a platform for data science practitioners and professionals to share their knowledge and expertise in innovative solutions in artificial intelligence, machine learning, predictive analytics and best practices. Attendees of the conference are expected to be executives, senior data science practitioners, data science managers, analysts, and engineering professionals. The conference comprises of a combination of talks, workshops, and panel discussions, along with an expo, and ample opportunities for networking in a casual and entertaining setting.

3) Convergence

  • Dates: March 7-8
  • Location: Virtual

Machine learning is rapidly gaining popularity as a powerful tool for companies across various industries to gain valuable insights, improve products and services, and increase efficiency. However, the field is still in its early stages and new advancements are constantly being made to create more reliable, ethical, and explainable ML models. The Convergence conference brings together data scientists, ML engineers, and researchers to share knowledge, learn about the latest technology and trends in the field, and connect with like-minded individuals. The conference is a platform for the community to gather and explore the exciting new approaches being developed in ML and AI.

4) Gartner Data & Analytics Summit

  • Dates: March 20-22
  • Location: Orlando, FL

Companies are facing a challenging and rapidly changing business environment, and leaders and their teams have been working hard to navigate it. As organizations strive to implement data and analytics (D&A) in order to transform and accelerate their operations, it falls on data and analytics leaders to develop effective strategies to make the most of these capabilities. To fully leverage the power of D&A, it's crucial to build cohesive ecosystems across the organization, use AI responsibly to manage data and protect privacy, and take a people-focused approach to recruiting and retaining talent.

At the Gartner Data and Analytics Summit, Gartner will be discussing the most pressing challenges facing data and analytics leaders as they work to build innovative and adaptable organizations. Join us to gain valuable insights and strategies to help you drive success in this dynamic and ever-changing field.

5) Data Council Austin

  • Dates: March 28-30
  • Location: Austin, TX

Data Council Austin will bring together some of the most influential makers, doers, and thinkers in the data industry. This conference will provide a unique opportunity for attendees to engage with leaders in the field and explore the latest advancements and trends in data innovation. With 10 different conference tracks covering a wide range of topics, you are sure to find something that will directly apply to your work and help you stay on the cutting edge of the industry. Whether you're a data scientist, engineer, or business leader, this event will provide valuable insights and networking opportunities that can help you drive innovation in your organization.

6) Modern Data Stack Conference

  • Dates: April 4-5
  • Location: San Francisco, CA

The Modern Data Stack Conference is an opportunity for data experts and technology leaders to come together and explore the potential of data and data infrastructure. Attendees will have the chance to engage in discussions and share ideas with other professionals in the field about the latest developments in data architecture and related topics such as cloud computing and AI/ML. Join us in San Francisco for a stimulating and informative conference that will give you new perspectives on the future of data and help you stay at the forefront of the industry.

7) PyData

  • Dates: April 26-28
  • Location: Seattle, WA

The PyData Seattle Conference is a gathering for the community of users, contributors, and those new to the field of data analysis to come together, share their knowledge and experiences, and learn from one another. This event provides a platform for the international community of data analysis tool users and developers to exchange ideas and best practices, explore new approaches and emerging technologies for data management, processing, analytics, and visualization.

The conference is a 3-day event, held at the Microsoft Conference Center in Seattle, WA, featuring talks, tutorials, and discussions that will showcase the latest developments in the field, as well as cutting-edge use cases. It's a great opportunity to stay up-to-date with the latest trends and learn from experts in the field.

8) ODSC East

  • Dates: May 9-11
  • Location: Boston, MA or Online

ODSC East is a three-day conference that offers expert-led training on a variety of data science topics such as machine learning, deep learning, NLP, MLOps, and more. The conference includes a mix of hands-on training sessions, immersive workshops, and talks that allow attendees to gain new skills and deepen their understanding of these topics. In addition to the educational opportunities, attendees will also have the chance to connect with others in the field through a variety of networking events such as the ODSC Networking Reception and the Ai+ Career Expo, making it an ideal platform to share insights and build new professional connections.

9) Snowflake Summit

  • Dates: June 26-29
  • Location: Los Vegas, NV

Snowflake Summit 2023 is a must-attend event for those looking to unlock the full potential of data, tools, models, and applications. The conference will provide attendees with the knowledge and resources to access, build, and monetize data seamlessly, enabling collaboration and alignment across different functions in the Data Cloud.

At the Summit, attendees will learn about the latest advancements in the Data Cloud and gain insights from hundreds of experts in technical, data, and business fields. The conference will provide attendees with the knowledge and tools to transform nearly every aspect of their organization in a world where data collaboration is key. Attendees will leave the conference with a clear understanding of what is possible for them and their organizations in the data-driven world.

10) Data + AI Summit

  • Dates: June 26-29
  • Location: San Fracisco, CA or Online

The global data, analytics and AI community will gather again in San Francisco on June 26-29 for a premier event. The conference will feature a packed schedule of keynotes by industry leaders and visionaries, technical sessions, hands-on training and networking opportunities over four days. This event will provide an invaluable opportunity for attendees to learn from industry experts, exchange ideas with peers, and stay up-to-date on the latest trends and advancements in the field. Whether you're a data scientist, engineer, or business leader, this conference will offer valuable insights and resources that can help you drive innovation and success in your organization. Don't miss this chance to connect with the wider data, analytics and AI community and gain new perspectives on the industry.

11) DataConnect Conference

  • Dates: July 20-21
  • Location: Columbus, OH or Online

The DataConnect Conference is an annual event that brings together industry leaders, technical experts and entrepreneurs to discuss the latest trends and advancements in data, analytics, machine learning and AI. Attendees can learn from keynote speeches, presentations, panel discussions, and workshops led by industry experts, as well as collaborate with peers and network with experts in the field. The conference also provides ample opportunities for attendees to connect with the global data community.

12) Coalesce

  • Dates: October 16-20
  • Location: San Diego, CA or Online

Attend Coalesce 2023 with dbt Labs and thousands of other data professionals to rethink the way the world handles data. Whether you are just starting out, experienced, or have big aspirations in the field of data, Coalesce welcomes you. Create your own path and connect with like-minded individuals at the largest analytics engineering conference.