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Major AI Events of 2024
Artificial Intelligence is going to change the face of the world; even in its early stages, it is changing, and in coming time, we might address the past and present as pre-AI era and post-AI era. The impact will be gradual, as it has capabilities beyond human speed. AI’s significance can’t be ignored or denied; hence, it is better to accept and use it for the benefit of human race.

Major AI Events of 2024
Researchers and experts from the industry come together on these platforms to present research and showcase new projects or products. Leaders, professionals, and enthusiasts from almost every industry come forward to attend AI events. These events provide an insight into the improvement possible in the efficiency and quality of their respective businesses.

We have combined a list of such outstanding events being organized all over the globe in 2024.

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.

Generative AI for Automotive 2024
Data: February 21-22, 2024
Location: Frankfurt, Germany
Come forward to attend this conference and learn from the best to reduce costs and increase efficiency in automotive industry using generative AI. You get a unique opportunity to learn from the start-ups, vehicle manufacturers, and innovators who have successfully applied generative AI.

Generative AI for Marketing Summit
Date: February 27-28, 2024
Location: London, UK
This is the best opportunity for marketers and creatives to learn and expand their value and efficiency using generative AI. While the conference will indulge in the benefits, it will also emphasize the concerns related to privacy, bias, and security.

Super AI
Date: February 28-29, 2024
Location: Singapore
Link: Super AI
The conference will gather together renowned researchers, industry leaders, heads of state, and entrepreneurs to define the future of AI. This is a not to miss event for leaders, executives, professionals, and enthusiasts from around the globe to witness the discussion.

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.

9th Annual ACM/IEEE International Conference on Human Robot Interaction (HRI)
Date: March 11-14, 2024
Location: Boulder, Colorado, USA
Researchers working on the human robot interaction come forward and present their best work at the conference to discuss ideas about theory, technology, data, and science. The theme of the event is ‘HRI in the real world’, and it aims to bring HRI out of lab and welcome HRI into the real world.

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.

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.

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.

Date: March 27 – 28, 2024
Location: Fontainebleau, Las Vegas
The world’s first cross-industry conference on Enterprise AI is happening at the Fontainebleau Las Vegas, March 27-28, 2024. Secure your spot today!

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.

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

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.

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.

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.

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.

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.

AWS Masterclass
Date: 25-26 April 2024
Date: 13-14 Jun 2024
Location: will be announced
The Principal Dev. is a two-day certification masterclass for tech leads. Here you'll develop skills that every successful, effective, and trusted software development leader needs.

Date: Feb 24 2024
AWS conference in Lahore, Pakistan
Date: Mar 19 2024
AWS conference in London, United Kingdom
Date: May 15-16 2024
AWS conference in Berlin, Germany
Date: May 25-26 2024
AWS conference in Tashkent, Uzbekistan
Date: Jun 10-12 2024
AWS conference in Philadelphia, Pennsylvania, United States
Date: Jun 26-27 2024
AWS conference in Washington, District of Columbia, United States
World Summit AI Americas
Date: April 24-25, 2024
Location: Montreal, Canada
The World Summit AI Americas brings together the brightest minds in AI on the stage to discuss innovative, cutting-edge, topical content and also tackle the arising issues in AI.

8th Middle East Banking AI and Analytics Summit 2024
Date: May 8, 2024
Location: Dubai, UAE
The Kingdom of Saudi Arabia aims to be a global leader in Artificial Intelligence by year 2030. The interactive platform, with well crafted topics, will cater exclusively to the needs of banking industry.

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.

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.

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.

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.

8th AI Expo Tokyo
Date: May 22-24, 2024
Location: Tokyo, Japan
It is Japan’s largest AI trade show to introduce technologies to various industries. Advanced technologies such as AI, blockchain, and quantum computing gather together at the trade show to attract professionals from several industries.

Data Cloud Summit 2024
Date: June 3-6, 2024
Location: San Francisco
An event to explore all that data clouds have to offer and their cutting edge innovations, get to meet experts and leaders in the field, and shed light on all the possibilities of data, AI, and application collaboration needed for your business.

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.

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.

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.

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.

2024 IEEE Conference on Artificial Intelligence
Date: June 25-27, 2024
Location: Singapore
The conference, held on the sunny island of Singapore, welcomes attendees to witness new research and breakthroughs in AI. You also get an opportunity to gain insight into new start-ups and leading industries in AI.

Date: June 25th–5pm, June 27th, 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.

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.

2024 DataConnect Conference
Date: July 11–12, 2024
Location: Columbus, OH
Women in Analytics hosts this conference to bring together industry leaders, technical experts, and entrepreneurs to explore and discuss the current trends, technologies, and advancements in data, analytics, machine learning, and AI.

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.

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.

AI Hardware and Edge AI Summit 2024
Date: September 11–12, 2024
Location: San Jose, CA
The summit covers the design and deployment of ML hardware and software infrastructure all around the cloud edge continuum. This event also provides tools and techniques for training, deploying, and machine learning.

AI and Big Data Expo Europe
Date: October 1-2, 2024
Location: RAI, Amsterdam
Industry leaders and experts from various industries come together to discuss the current developments and showcase next generation technologies and strategies in AI and Big Data.

World Summit AI
Date: October 9-10, 2024
Location: Amsterdam
This is an important summit for developing strategies and their applications around the world, including risks, benefits, and opportunities. World leaders and changemakers will raise important issues and concerns related to AI and its impact on the world.

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.

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

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.

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.”

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.

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.

10th Middle East Enterprise AI and Analytics Summit
Date: November 7, 2024
Location: Dubai, UAE
The summit will address the B2B collaboration and its market needs to secure transparency, fairness, and accountability while using AI to avoid negative impacts and bias.

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.

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.

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.

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.

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 (find last year’s discussions here)
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.

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.

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.

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.

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.

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 (, Albert Greenberg (Uber), Robert Nishihara (Anyscale), and others.

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.

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.

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.

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.

NOTE : We use AI in various aspects to make our work easier, such as our repetitive work in manufacturing, logistics, or customer support. We, as humans, can focus on more complex and creative parts of the work. This will not only automate our work but also increase efficiency and productivity, and it will lead to cheaper products that are accessible to many.

AI is also valuable for problem solving as it can identify patterns, make decisions based on data, and analyze datasets, making it useful in healthcare, finance, and scientific research. It can analyze large amounts of data faster and provide us with insight based on these data; thus, AI also improves our decision-making in many fields, including business, healthcare, and finance. AI is also helping with autonomous systems, such as self-driving cars, which will eventually lead to fewer accidents and optimize our transportation system. There are many other benefits of AI, and its impact on our economic growth is huge, creating new industries, improving overall productivity, and creating job opportunities.
Although AI comes with many benefits, it is also important to discuss the new issues that may arise with it, and AI events are the best platform to discuss both sides of the coin.

Benefits of Attending AI Events
AI events hold various benefits for attendees, whether networking opportunities, hands-on experience, learning opportunities, or collaboration with partners or organizations.

This is a platform to get introduced to the latest technologies in the field and reap the most benefits. Many aspiring entrepreneurs also find these technologies beneficial for their businesses.

It is also possible to develop a new idea as various experts from the industry come forward and share their motivating and inspiring journeys with professionals at all levels of their professional journey. These events are no less than gold mines for industry professionals.

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