Top AI Conferences of 2024: Generative AI and Beyond

As we prepare for another remarkable year in artificial intelligence, the importance of keeping up with the latest advancements, trends, and breakthroughs cannot be overstated. In 2024, leaders across the global AI landscape will participate in conferences across the globe that will predict and help shape the future. Whether you’re an industry veteran, an AI enthusiast, or an industry leader eager to harness the power of AI, any of these conferences offer a great opportunity to dive in.

It’s no secret that conferences can provide extensive networking opportunities, allowing you to engage with leading experts, professionals, researchers, and entrepreneurs from all over the world. Attending the right conferences allows you the chance to network with like-minded individuals, establish new contacts, and maybe even spark valuable collaborations.

There are also lots of opportunities to build new skills on everything from LLM evaluations to traces and spans, get insights from workshops, and learn about new strategies. Honing your expertise in the latest tools, frameworks, and methodologies allows you to stay competitive.

We’ve compiled a list of some of the most anticipated AI conferences of 2024. Whether you’re looking for something that leans academic or is more industry-focused, there’s something for everyone here.

AI Engineer World’s Fair

• When: TBA, 2024
• Where: San Francisco
• Cost: $99-$700+ (Tickets bought before dates are announced are fully refundable)
• Size: ~1000 attendees
• Who Attends? Software Engineers, AI Engineers (of course)
• About: The AI Engineer World’s Fair is led by the same team who brought you the AI Engineer Summit in 2023 (and will be the precursor event for the 2024 Summit). There will be an Expo floor with over 100 companies, multi-track general session keynotes & breakout sessions across multiple stages.

Cerebral Valley

• Where: San Francisco Bay Area
• Who attends? AI Engineers, Founders, AI Enthusiasts
• About: We thought Cerebral Valley deserved a mention at the top of our list because it’s a fast-growing community at the center of the current AI renaissance in the Bay Area. They host hackathons and community events-and they also run a Slack community, newsletter, job list, and list of virtual AI events and events in the Bay Area. The goal is to bring builders and founders together to share knowledge, experiences, and solutions, and continue the development of AI and the creation of startups.

World AI Conference

• When: February 8-10
• Where: Cannes, France (and Virtual)
• Cost: Free-1290€
• Size: 16,000+ attendees
• Who Attends? Enterprise, Startups, AI Enthusiasts, Researchers
• About: Every year, World AI Conference features lots of workshops, opportunities for founders to pitch, and receptions for networking. The last day of the conference is open to the public, where attendees can walk around a large exhibition hall featuring the latest in AI. To give you an idea of the lineup, speakers this year will include top AI leaders and thinkers like Nick Bostrom (Oxford), Yann LeCun (Meta), Francesca Rossi (IBM).

AI Summit West

• When: Feb 13-14
• Where: Santa Clara, CA
• Cost: $449-$1600+
• Size: ~200 attendees
• Who attends? Data Scientists, Data Engineers, Machine Learning Scientists, CTOs, Founders, Directors of Engineering, CEOs.
• About: One of this year’s Re-Work conferences, participants will enjoy two days of talks, presentations, panel discussions, and access to reports exclusive to attendees. You also get on-demand access after the event. Regular speakers at Re-Work events include Google, Apple, DeepMind, Amazon, and Facebook, researchers from leading academic institutions, government leaders, startups, and investors.

Data Science Salon Austin

• When: Feb 21
• Where: Austin, TX + Virtual
• Cost: $295 (On-Demand), $695 (In Person)
• Size: ~500 attendees
• Who Attends? Executives, senior data science practitioners, data science managers, analysts, engineering professionals
• About: The topic for this one-day conference this year is “Using Generative AI and Machine Learning in the Enterprise.” Industry leaders and specialists talk face-to-face about innovative new innovations in AI, ML, analytics, and best practices.

Apply()

• When: March 14
• Where: Virtual
• Cost: Free
• Who Attends? ML practitioners
• About: Apply(Conf) is Tecton’s event for machine learning and data teams to discuss challenges they face when building operational ML systems. It’s a virtual, practitioner-focused event for data and ML teams to discuss data engineering challenges. Participants share best practices for development, tools, and new architectures for building and managing AI and ML applications. Last year speakers came from Uber, databricks, Pinterest, HelloFresh and more.

KubeCon + CloudNativeCon (Europe)

• When: March 19-22
• Where: Paris, France
• Cost: Free-$2000+
• Size: 3000+ in-person attendees, 19000+ virtual
• Who Attends? Developers, architects and technical leaders, CIOs, CTOs, press and analysts
• About: KubeCon + CloudNativeCon brings together adopters, developers, and practitioners to collaborate and engage with leaders interested in open-source. Topics presented on typically include ML, Research, I/O Networking and Storage, Observability, Security, and many more.

NVIDIA GTC

• When: March 17-21
• Where: San Jose, CA, and Virtual
• Cost: Free-$2,000+
• Size: 100,000+ (Last year: 319K virtual registrations)
• Who Attends? Developers, engineers, researchers, IT professionals
• About: Hundreds of sessions that focus on deep learning, robotics, data science, data centers, high-performance computing, and related topics. Speakers and attendees come from all industries including finance, healthcare, transportation, manufacturing, retail, and more. Last year the conference was fully virtual, but this year it’s back in person with a virtual component.

Data Council

• When: March 26-28
• Where: Austin, TX
• Cost: $599+
• Size: 900 attendees
• Who Attends? Data scientists, lead engineers, CTOs, founders, AI researchers, Heads of Data, executives, investors, and community organizers
• About: A “No Bullsh*t Data Conference.” The event covers the entire data journey: Data Infrastructure, Data Engineering, Data Science, Machine Learning, AI, and Data Analytics. Data Council prides itself on engaging talks, free workshops, no sponsors, and a “Speaker Office Hours” that allows attendees to interact with each speaker after their talk.

MLconf

• When: March 28
• Where: New York, NY
• Cost: $263 (Early Bird)
• Size: ~1000 attendees
• Who Attends? Machine learning & AI enthusiasts; Enterprise and Startups
• About: MLconf is a single-day conference targeted at practitioners and ML enthusiasts in the industry. The day focuses on 25-30 minute presentations with an educational focus that discuss technical challenges, innovations, and motivation for the development of models, algorithms, and statistical models. Topics include everything from AI/MLOps to Quantum Computing. There are speakers from Google Brain, Red Hat, Spotify, Startups, and Universities.

QCon (Europe)

• When: April 8-10
• Where: London, England
• Cost: 2115€ (Early Bird pricing until January 16th)
• Who Attends? Software Developers, Software Architects, Team Leads, Senior Developers
• About: If you can’t make it to San Francisco, QCon is also held in London with a similar focus. This year, senior software developers and engineers from companies like Netflix, Elastic, Microsoft, and others will be in attendance and giving talks. There are talks that explore real-world case studies

Google Cloud Next

• When: April 9-11
• Where: Las Vegas, NV
• Cost: $999 (Early Bird)-$1999
• Who Attends? Leaders and decision-makers, developers, engineers, enthusiasts
• About: In addition to the keynotes and 500+ breakout sessions, participants get exclusive access to the latest in AI, immersive learning, and training. You’ll also have the opportunity to meet with Google experts to fine-tune your team’s approach to any project you’re working on in collaborative training sessions. This year, there will be deep dives into generative AI with sessions geared towards helping IT and business leaders, security professionals, and developers tap into this rapidly evolving technology.

AWS AI Expo

• When: April 12
• Where: Austin, TX
• Cost: $29 (Expo Pass)-$75 (Regular Pass)
• Size: ~2000 attendees
• Who Attends? Entrepreneurs, industry leaders, data scientists, engineers, AI enthusiasts
• About: At the AI EXPO, attendees will learn from experts in the field, discover innovative products and services, and network. The program has keynote speakers, panels, and interactive sessions focused on the latest in AI. There’s a trade show with vendors showcasing the latest AI products and services, as well as startups demonstrating innovative new technologies.

AI In Finance Summit

• When: April 18-19
• Where: New York, NY
• Cost: $449 (On-Demand access)-$2695 (Vendor pass)
• Who Attends? Practitioners and leaders working in and with the financial sector
• About: Small conference that focuses on insights and technical use cases from AI specialists and data scientists in Financial Services. Speakers discuss the current AI landscape in finance, trends, the ROI of AI in financial services, AI advancements in fintech, and niche ML applications, among other things.

ODSC EAST

• When: April 23-25
• Where: Boston, MA
• Cost: $579-$4000 (Early Bird pricing available in January)
• Size: ~3800 (Includes hybrid attendees)
• Who Attends? Data scientists, academics and researchers, enterprise
• About: ODSC East has big-name speakers, great workshops, hands-on training sessions, and tons of networking opportunities. There’s a big focus on ML, NLP, data analytics, responsible AI, and more. Attendees can apply for an AI bootcamp prior to the event to build skills. There are hands-on workshops and training sessions, recruiting sessions, and tons of opportunities for networking, of course.

CDAO Spring

• When: April 23-24
• Where: San Francisco, CA
• Cost: $499 for end-users, $2499 for vendors
• Size: 100+ attendees
• Who Attends? Data and analytics leaders
• About: CDAO covers topics across data security, AI, and digital transformation. In 2023, attendees will receive access to curated content to optimize cross-industry learnings & collaboration. There will be a chance to solve shared problems during round table discussions, have Q&As with speakers and schedule 1:1 meetings. Attendees can connect during interactive networking sessions. There are specialized tracks for leaders in data and analytics based on topics that are most important to your focus area.

Arize:Observe

• When: TBA
• Where: San Francisco and Virtual
• Cost: Free
• Size: 1000+ Attendees (more virtually)
• Who Attends? Engineers, industry practitioners, executives
• Good to know: All talks are available afterward
• About: Arize:Observe is our one-day virtual summit dedicated to LLM observability. There will be presentations and panels from thought leaders and AI teams across industries. We often tackle challenging questions about performance monitoring and troubleshooting, data quality and troubleshooting, AI observability, explainability, ROI, and more.

World Data Summit

• When: May 15-17
• Where: Amsterdam, Netherlands
• Cost: 1695€ +
• Who Attends? Industry leaders, data scientists and engineers, policymakers
• About: The World Data Summit tackles the big data ecosystem, with an emphasis on analytics. Over three days, the conference brings together experts and innovators from around the world to explore the latest trends and opportunities. Attendees will walk away with valuable insights, practical knowledge, and networking opportunities.

NLPML

• When: May 20-21
• Where: Melbourne, Australia
• Cost: TBA
• Size: Mid-size
• Who Attends? Academics and researchers
• About: The 5th International Conference on Natural Language Processing and Machine Learning is on sharing knowledge and results in theory, methodology, and applications of Natural Language Computing and Machine Learning. Topics are geared toward a more technical and research-focused audience and emphasize areas of NLP like Chunking/Shallow Parsing, Semantic Processing, Lexical Semantics, Ontology, Text Mining, and more.

Enterprise Generative AI Summit

• When: May 21-22
• Where: Bay Area, TBA
• Cost: $799-$1099 (Early Bird pricing available as of January)
• Who Attends? Generative AI Practitioners, Business Leaders, VCs, Startups
• About: The Enterprise Generative AI Summit is for AI practitioners, data scientists, and business leaders who want to adopt Generative AI capabilities within organizations. There are two tracks: data science and business-level decision-making. If you’re a practitioner, there are opportunities to learn from AI model builders and how they create systems for data compliance and navigate proprietary/private and public data sources while considering weights and biases.

The Data Science Conference

• When: May 23-24, 2025
• Where: Chicago, IL
• Cost: $1500 (half-day passes available)
• Size: Mid-size
• Who Attends? Data science practitioners
• About: Always vendor-free, sponsor-free, and recruiter-free. No pictures or recording are allowed, and there is no virtual component. This conference experience enables people attending to be present, to connect and to gather intentionally about data science without the fluff.

ODSC Europe

• When: Usually June, TBA
• Where: Europe, TBA
• Cost: TBA
• Size: ~1500 (+more online)
• Who Attends? Data scientists, academics and researchers, enterprise
• About: ODSC Europe has conference focus areas in Machine Learning & Deep Learning, NLP, Data Engineering & MLOps, Machine Learning for Finance, a Kick Start Bootcamp, and Vector Search. Like the other ODSC events, there’s a pre-conference bootcamp followed by two days of keynotes, talks, and workshops.

Deep Learning World

• When: Usually June, TBA
• Where: Las Vegas, NV
• Cost: 1895+
• Size: ~800+
• Who Attends? Enterprise, ML practitioners
• Good to Know: Virtual component is free
• About: An industry-focused event that covers the deployment of Deep Learning. This year there will be hands-on generative AI and ML workshops, and some are listed as of January 2024. The conference covers a wide range of application areas including autonomous vehicles, computer vision, manufacturing, document classification, economic forecasting, language generation, sensitive content detection, fraud protection, network security, and more.

Big Data + Analytics Summit Canada

• When: June 5-6
• Where: Toronto, Ontario
• Cost: TBA
• Size: Large
• Who Attends? C-Suite, enterprise, practitioners, strategists
• About: This is a big in-person event where leaders and practitioners can explore the latest trends across the big data landscape, including security, architecture and transformation, cloud migration, governance, storage, AI and ML, and more. The conference focuses on leading organizations in Canada, and this year, the conference will be streamed virtually.

CVPR

• When: June 17-21, 2023
• Where: Seattle, WA
• Cost: Varies widely; $75 (Students)-$1,080
• Size: Large, 10,000+
• Who Attends? Half academic, half industry practitioners
• About: This is a major annual computer vision and pattern recognition conference, with a balanced mix of industry practitioners and researchers. There’s a high standard for papers presented here, where topics of interest include all aspects of computer vision and pattern recognition, including machine learning, deep learning architectures, biometrics, computational imaging, and much more.

MLCon

• When: June 19-22
• Where: Germany + Virtual
• Cost: 503€-1699€+ (Early Bird available until March 14)
• Who Attends? Leading ML experts from startups and enterprise
• About: MLCon is a two-day conference where attendees can expect lots of networking opportunities, 30+ international speakers, 35+ sessions and workshops, and lots of opportunities to discover the latest technologies and approaches like NLP and deep learning. There is also first-class catering, which is always a plus. Whether you want to understand your data, optimize your models, or enhance your business with ML, there’s something here for you.

ICML

• When: June 21-July 27
• Where: Vienna, Austria
• Cost: $0-$1500+
• Size: Large
• Who Attends? Academics/researchers and industry practitioners
• About: The International Conference on Machine Learning is an internationally renowned academic conference for presenting and publishing ML research, and one of the longest-running ML conferences (since 1980). Research spans all areas, including artificial intelligence, statistics, and data science, as well as application areas such as machine vision, computational biology, speech recognition, and robotics.

VentureBeat Transform

• When: July, TBA
• Where: San Francisco, CA + Virtual
• Cost: Free-$999
• Size: Large
• Who Attends? C-suite
• About: VentureBeat Transform is an AI and data conference that brings together business and technology leaders to discuss the latest advances in AI, big data, analytics, and more. This annual gathering serves as a platform for discussions, presentations, and networking opportunities that delve into the latest advancements in AI, machine learning, automation, and digital transformation. Attendees can expect to gain valuable insights from industry experts, explore emerging trends shaping the future of technology, and engage in thought-provoking conversations about the ethical implications and societal impact of AI.

Toronto Machine Learning Summit

• When: July, TBD
• Where: Toronto, Canada
• Cost: Free-$700
• Size: 1000+
• Who Attends? 50% ML practitioners and a mix of researchers and business leaders
• About: TMLS takes an explorative approach to address the needs of ML researchers, professionals, and entrepreneurs. There’s a big emphasis on community, inclusion, and support, and there’s room for collaboration across academia and industry, so people with a range of technical backgrounds participate. Take a workshop, learn from case studies, hear about cutting-edge research, and join the discussion. The summit creates an environment conducive to networking, fostering connections that transcend organizational boundaries and contribute to ML expertise in the vibrant tech community of Toronto.

Ai4

• When: August 12-14
• Where: Las Vegas, NV
• Cost: Free-$2895 (Early Bird tickets available as of January)
• Size: 4500+
• Who Attends? Executives, Industry Practitioners
• About: Ai4 brings together business leaders and data practitioners to facilitate the responsible adoption of artificial intelligence and machine learning technology. It bills itself as the world’s largest gathering of artificial intelligence leaders in business, drawing thousands of executives and technology innovators at the epicenter of the AI community. If you attend, you’ll get access to a private networking app, along with breakfast, lunch, and daily happy hours. This year they’re expecting over 350 speakers from 75 countries.

Southern Data Science Conference

• When: Usually September, TBD
• Where: Atlanta, GA
• Cost: $300-$550
• Size: 500+
• Who Attends? Industry, academia, government
• About: A small but mighty two-day event focused on machine learning in production. There are speakers from major companies and startups, and no sessions overlap. Last year, workshops provided comprehensive introductions to deep learning, computer vision, AI-powered search, and more.

Ray Summit

• When: Usually September, TBA
• Where: San Francisco
• Cost: TBA
• Size: Large
• Who Attends? Engineers and ML practitioners, developers, data scientists, students, and academics
• About: Ray Summit is an event for software engineers, machine learning practitioners, data scientists, developers, MLOps professionals, and architects — and anyone else who wants to learn about building and deploying large-scale applications, especially in AI and machine learning. The event is all about scalable machine learning and scalable Python and highlights new developments in AI scaling and open source.

INTERSPEECH

• When: September 1-5
• Where: Greece
• Cost: TBA
• Size: 1000+ attendees
• Who Attends? Academics, spoken language processing practitioners
• About: The theme for the 25th Interspeech Conference is “Speech and Beyond.” Interspeech gathers researchers and practitioners who work on the science and technology of spoken language processing. Interspeech emphasizes interdisciplinary approaches to speech science and technology, from theory to application.

Coalesce

• When: October 7-10
• Where: Las Vegas, NV
• Cost: Free (Virtual)-$595+(Super Early Bird Tickets available as of January)
• Size: Large
• Who Attends? Popular conference for analytics engineers and data professionals
• About: The Coalesce conference, hosted annually by dbt Labs, stands as a premier event in the realm of data analytics and transformation. This gathering brings together data professionals, analysts, engineers, and industry leaders to explore the latest trends, best practices, and innovations in the world of analytics engineering.

World Summit AI

• When: October 9-10
• Where: Amsterdam, Netherlands
• Cost: 319 €+ (Super Early Bird Tickets available in January)
• Size: Large
• Who Attends? Enterprise, FAANG, research, government, investors (“the full AI ecosystem”)
• About: World Summit AI hosts a large AI ecosystem of enterprise, startups, investors, and researchers to discuss pressing AI issues and set the global AI agenda. There are lots of opportunities for networking, high-profile plenary sessions, curated panels, smaller boardroom-style meetings, and 1-on-1 meetings organized through an AI-powered matchmaking tool. There is also a virtual component for on-demand attendance.

Big Data & AI Toronto

• When: October 18-19
• Where: Toronto, Canada
• Cost: TBA
• Size: 5000+
• Who Attends? Practitioners, entrepreneurs, C-suite and decision-makers from Fortune 500 companies.
• About: The conference has been running since 2016, providing a platform for IT decision-makers and practitioners to explore and discuss insights, showcase the latest innovative projects, and connect with the best and brightest minds in the industry. The conference happens over two days in both in-person and virtual formats. There’s an exhibition, panels and talks, boot camps to give attendees technical skills, and networking opportunities.

Generative AI Summit

• When: October 25-26
• Where: Austin, TX
• Cost: TBA
• Size: Unknown
• Who Attends? LLMOps, Open-Source, Enterprise, Academics
• About: This is a brand new conference hosted by MLOps World that will focus on Generative AI. The conference will “look to explore the next wave of integrated Gen AI and explore the advances around its deployment in production environments.”

MLOps World

• When: Usually October, TBA
• Where: TBA
• Cost: TBA
• Size: Large
• Who Attends? MLOps practitioners and leaders, and anyone working in ML/AI
• About: MLOps World is designed to help companies put more models into production environments as effectively, responsibly, and efficiently as possible. There are hands-on workshops, a start-up expo and career fair, sponsored parties, talks, and panels on topics such as treating your data platform link a product, overcoming data infrastructure limitations, building real-time ML features, and creating governance systems that ensure fairness.

AI DevWorld

• When: Usually October, TBA
• Where: TBA
• Cost: TBA
• Size: 790+
• Who Attends? Data scientists, Directors, ML Engineers, CEOs + CTOs, VPs
• About: AI DevWorld advertises itself as the world’s largest artificial intelligence dev conference. Though subject matter often leans more technical, this is a good one for engineers looking for an introduction to AI, as well as AI dev professionals.

VOICE & AI

• When: October 28-30
• Where: Arlington, VA
• Cost: TBA
• Size: 1000+
• Who Attends? Anyone working on conversational AI
• About: The goal of this conference is to bring together leaders and practitioners around the world working on, developing, or researching conversational AI. The conference focuses on Contact Center Modernization, CX and CX Automation, and Custom Assistant Development and Implementation.

ODSC WEST

• When: October 29-31
• Where: Burlingame, CA
• Cost: TBA
• Size: 5000 (Includes hybrid attendees)
• Who Attends? Data scientists, academics and researchers, enterprise
• About: ODSC’s Western conference also has (like ODSC East and ODSC Europe): big-name speakers, great workshops, hands-on training sessions, and tons of networking opportunities. ML, NLP, data analytics, responsible AI,MLOPs, Ml safety and security and research frontiers are some of the focuses. There is a bootcamp for ML training prior to the event that covers programming, deep learning, data visualization, tools, and more. Also features hands-on workshops and training sessions, recruiting sessions, and tons of opportunities for networking.

KubeCon + CloudNativeCon (North America)

• When: November 12-14
• Where: Chicago, IL
• Cost: TBA
• Size: 14,000+
• Who Attends? Developers, architects and technical leaders, CIOs, CTOs, press and analysts
• About: This is the Cloud Native Computing Foundation’s flagship conference that brings together adopters and technologists from open source and cloud-native communities. Topics presented typically include ML, Research, I/O Networking and Storage, Observability, Security, and more.

QCon (San Francisco)

• When: November 18-22
• Where: San Francisco, CA
• Cost: $2150-$3660 (Early Bird pricing available as of January)
• Who Attends? Software Developers, Software Architects, Team Leads, Senior Developers
• About: QCon helps senior software engineers, architects, and leaders adopt the right patterns and practices so that they can drive innovation in software. At this conference held every year in San Francisco, you can learn more about emerging