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, enthusiasts 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.
What Are the Top AI Conferences and Generative AI Focused Events in 2024?
AI Engineer World’s Fair
When: June 25th through June 27th, 2024
Where: San Francisco
Cost: $0 (remote) $199 – $1499
Size: >1000 attendees
Who Attends? VPs, founders, software engineers, and (of course) AI Engineers
About: The AI Engineer World’s Fair is where the leading companies, founders, software engineers, & AI Engineers meet. Featuring an Expo floor showcasing 50+ companies pioneering the AI Engineering landscape, and over 100 speakers delivering talks and workshops across 9 tracks, with sponsorships and talks from Microsoft, OpenAI, AWS, Google, Anthropic, and many more. From the team behind the AI Engineer Summit 2023.
Arize:Observe
When: July 11, 2024
Where: San Francisco @ Shack 15 (Cerebral Valley)
Cost: Early-Bird Pricing Starts at $300
Size: 600+ Attendees
Who Attends? AI engineers, industry practitioners, executives
About: Someday you may ask yourself where you were during the generative AI revolution and whether you were a part of it. Here’s your chance. The next AI woodstock for engineers and builders who want to take that next step — evaluating their LLM apps and having successful production deployments — is here. Presented in partnership with Cerebral Valley at Shack 15 in San Francisco, Arize:Observe 2024 is taking place on July 11th. The soon-to-be-released speaker list is a who’s-who of foundation model builders, researchers, hackers, open-source builders showing off useful tools, and enterprises from all over the globe — all on a mission to help make your gen-AI use cases a successful reality. Last year’s speakers include OpenAI, Meta AI, LlamaIndex, HuggingFace, MosaicML, Etsy, NVIDIA, Shopify, Spotify, Uber and many more. Some events are just worth flying out for (or hopping on BART).
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. All platforms that presentations discuss must be open-source, and sales and marketing pitches are generally rejected.
Website: https://events.linuxfoundation.org/kubecon-cloudnativecon-europe/
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 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. In other words, this one-day conference is jam-packed with opportunities for meeting people and learning something.
Q Con (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 (some may be curated to your role), 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.
Epic AI Agents Summit
When: April 16-17
Where: Virtual
Cost: Free – $149
Who Attends? Engineers and product leaders working with agents and orchestration frameworks
About: Event focused on orchestration put on by Epic AI Dev, a community and summit series focused on AI professionals and enthusiasts. Features two tracks, one with inspiring talks by industry leaders and the other hands-on workshops to boost your skills. Speakers include Meta, Microsoft, Google, GitHub, Databricks, Hugging Face, Weaviate, and others.
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.
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 (it’s pretty unique in this way). These policies allow for a unique conference experience that enables people attending to be present, to connect, and to gather intentionally about data science without the fluff. No pictures or recording are allowed and there is no virtual component.
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 internally-renowned academic conference for presenting and publishing ML research, and one of the longest-running ML conferences (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 contributing 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
Good to Know: Single-track allows you to catch all the talks and workshops
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. Featured speakers last year included Chip Huyen (ClaypotAI), Joseph Spisak (Meta AI), Aishwarya Stinivasan (Google), and others.
Ray Summit
When: Usually September, TBA
Where: San Francisco
Cost: TBA
Size: Large
Who Attends? Engineers and ML practitioners, developers, data scientists, and 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. 2023 speakers included Jerry Liu (LlamaIndex), Richard Socher (You.com), Albert Greenberg (Uber), Robert Nishihara (Anyscale), and others.
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. Topics suggested for this year’s conference include: Speech and Health, Animal Sound Recognition, Speech for Interacting with Machines, Robots, and Apps (including VR/AR/XR), Speech for Memory & Heritage, and Communication Across Ages.
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. Attendees can expect a dynamic agenda featuring insightful keynote speakers, hands-on workshops, and interactive sessions that delve into the transformative power of dbt (data build tool) in driving efficient and scalable data workflows.
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”)
Good to know:
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. Past sessions have spanned AI ethics to applied AI to hands-on workshops. There is lots of opportunity for networking, many high-profile plenary sessions, lots of curated panels, and even smaller board-room style meetings. 1-on-1 meetings can be organized through an AI-powered matchmaking tool. Virtual (on-demand) attendance is lower and they have academic and startup discounts; there’s an (Ai-powered) networking tool
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, bootcamps 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: At the 2023 event there were talks by Rajiv Shah (Hugging Face), Anouk Dutree (UbiOps), 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. Workshops last year included sessions on 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. Last year half of attendees were advanced practitioners, and the rest were a mix of expert researchers and more beginning researchers.
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. As such, attendees and speakers span industries; last year there were speakers from OpenAI, Walmart, Descript, Accenture, the Washington Post, and more.
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
Good to know: Nice student discount
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 on 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 trends, explore use cases, and get ideas for implementation that you can take with you. It’s a conference for professionals and a great place to accelerate progress.
DevIntersection & Microsoft Azure + AI Conference
When: December 5–7
Where: Orlando, FL
Cost: Free–$1000+
Who Attends? Practitioners, Policy Makers and Business Leaders
About: Microsoft’s annual conference where speakers are mostly Microsoft leaders and partners. Microsoft engineers and industry experts fill a session lineup that includes deep dives into technologies like .NET 8, Visual Studio 2022, C# 12, .NET MAUI, and the latest in AI, Azure, web technologies, and Power Platform. There will be over 60 speakers, 100 sessions, 20 workshops, and 20 exhibitors. This year there will be a big focus on LLMs and Generative AI, of course.
NeurIPS
When: December, TBA
Where: Vancouver, Canada
Cost: $25–$175
Size: Large
Who Attends? Researchers, Academics
About: Organizers include top researchers from major universities, Google Research, DeepMind, etc. NeurIPS has become one of the premiere ML conferences. While Machine Learning and neuroscience are the primary fields represented, other focus areas include cognitive science, psychology, computer vision and linguistics. There are keynotes, poster sessions, competitions, a journal showcase, an expo, and opportunities to learn from the latest research and top minds in ML, AI, and neural information processing.
The AI Summit New York
When: Usually December, TBA
Where: New York, NY
Cost: Free–$1000+
Size: 5000
Who Attends? Practitioners, Policy Makers and Business Leaders
About: AI Summit gathers experts, practitioners, policy makers and business leaders in the field. The purpose of the AI Summit New York brings together technical leads from a vast range of industries. Discuss AI through the lens of ethics, culture, and development, whilst still considering the ROI of AI.