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Attending AI, analytics, big data, and machine-learning conferences helpsyou learn about the latest advancements and achievements in these technologies, things that would likely take too long and too much effort to research and master on your own. And you get this information from keynote speakers who are tops in their fieldsinformation you can use to help you in your work.

These events allow you to develop your skills in these areas while interacting with others who share the same interests and who can help you solve problems.

To that end, TechBeaconhascreated the following shortlist of AI, analytics, big data, and MLconferences for 2022.

Twitter:@WAICannesWeb:worldaicannes.comDate:February 1012Location:Cannes, France, and virtualCost:Free or up to 1,490

A high-level conference program will hostover 100 speakers from around the world and from rich and diverse backgrounds. Attendees will get a complete vision of AI in all its complexity and challenges through the conference's five tracks.

Who should attend:AIprofessionals and enthusiasts

Twitter:@datascisalonWeb:datascience.salon/miami//Date:February 16Location:Miami, Florida, USA, and virtualCost: $595

The Data Science Salon is a focused conference that grew into a diverse community of data scientists, machine-learning engineers, analysts, and other senior data specialists. Attendees can improve their data skills viaengaging live presentations and panel discussions, learn how to apply state-of-the art AI and ML techniques in the enterprise, and meet and connect with leading data scientists in a casual atmosphere.

Who should attend: Senior data scientists anddata decision makers

Twitter:@teamreworkWeb:re-work.co/events/ai-ethics-summit-2022Date:February 1718Location:San Francisco, California, USA, and virtualCost: In-person, $1,695 to$2,095; virtual pass, $249

At this event, attendees will learn aboutresponsible and ethical approaches to developing AI for the common good. They will also hear from expert speakers on recent, relevant developments and the progression of AI ethics.

Who should attend: AI ethicists, AI strategists, AI technologists, data engineers, fellows, lead for responsible AI, professors, PhD students, program leads, andresearch scientists

Twitter:@teamreworkWeb:re-work.co/events/deep-learning-landscape-summit-2022Date:February 1718Location:San Francisco, California, USA, and virtualCost: Varies

This event brings together the latest technology advancements as well as practical examples to apply AI to challenges in business and society. Attendees will hear about advances in deep learning and smart AI from leading innovators. They will also learn from industry experts in speech and image recognition, neural networks, and big data.

Who should attend: Developers, data scientists, DevOps specialists, IT decision makers, and anyone interested in combining DevOps practices with machine learning

Twitter: @weCONECTMediaWeb: industryofthingsworldusa.comDate: March 1718Location: San Diego, California, USA, and virtualCost: Standard ticket, $3,995; digital ticket, $695

Organizers say that this event is the leading business platform for smart manufacturing and industrial IoT. The event focuses on real world, end-user case studies on how smart manufacturing technologies are changing businesses and industries. Speakers from around the world offer insights intoconcepts and present current strategies. Topics include automation, machine-to-machine communication, interoperability, analytics, and new business models.

Part of the Industry of Things World global event series, this conference has become the meeting point for senior executives who want to learn more about the industrial Internet. A sister conferenceis scheduled for September inBerlin, Germany.

Who should attend: IoT specialists and strategists, IoT novices, cloud computing adopters, big data analytics experts, and anyone else involved in digital transformation

Twitter: @EnterpriseDataWeb: edw2022.dataversity.netDate: March 2025Location: San Diego, California, USACost: $995 to $3,395

For 26 years now, Enterprise Data World has been recognized as the most comprehensive educational conference on data management in the world. This year's event will offer in-depth training opportunities for data-driven professionals from around the world. Industry experts will share case studies, experiences, and knowledge about various topics, including data governance, data architecture, blockchain technology, data integration, data modeling, metadata management, data and information quality, business analytics, data science, big data and enterprise information management, and more.

Who should attend: Chief data officers; data and information architects; vice presidents and directors of analytics, business intelligence, and data governance; information quality professionals; data scientists; and big data engineers

Twitter: @odscWeb: odsc.com/bostonDate: April 19 21Location: Boston, Massachusetts, USA, and virtualCost:In-person, $799 to $4,663; virtual, $299 to $2,663

ODSC East 2022 will be more inclusive than everfrom in-person sessions to digital experiences available for everyone, attending from anywhere. The idea is to combinesmall, immersive, in-person experiences with innovative and insightful digital ones. ODSC East will help attendees stay current with the most recent and exciting developments in data science.

Who should attend: Data scientists, software engineers, analysts, managers, and CxOs

Twitter: @Gartner_inc,#GartnerDAWeb: gartner.com/en/conferences/emea/data-analytics-ukDate:May 911Location: London, UKCost:2,650 to3,550

This conference addresses the most significant challenges that data analytics leaders face as they build the innovative and adaptable organizations of the future. Attendees will learn how to deliver continued value in an uncertain world with strategies and innovations backed by data and analytics.

Who should attend: Analytics and business information practitioners,business analysts,data scientists,analytics and business information program leaders,enterprise information leaders,andMDM program managers

Twitter: @ai_expoWeb: ai-expo.net/northamerica/Date:May 1112Location: Santa Clara, California, USACost:TBA

This event is for the enterprise technology professional seeking to explore the latest innovations, implementations, and strategies to drive businessforward. It will provide insight from more than 250 speakers sharing their industry knowledge and real-life experiences in solo presentations, expert panel discussions, and in-depth fireside chats. Topics includedemystifying AI, creating an AI-powered organization, machine learning, decision science, RPA and automation, data analytics, chatbots, and computer vision.

Who should attend: IT decision makers, CTOs, developers and designers, heads of innovation, chief data officers, chief data scientists, brand managers, data analysts, people from startups, tech providers, C-level executives, andventure capitalists

Twitter: @infotodayWeb: dbta.com/DataSummit/2022/default.aspxDate:May 1718Location: Boston, Massachusetts, USACost:Showcase only, $50 ($25, early bird); per-workshop fee,$395($295, early bird); various keynote, boot camp, and summit combos, $495(early bird)to $1,095

At Data Summit 2022, attendees will hear about approaches the world's leading companies are taking to solve key challenges in data management. Whether attendees' interests lie in the technical possibilities and challenges of new and emerging technologies or inusing big data for business intelligence, analytics, and other business strategies, Data Summit 2022 has something for everyone, according to organizers.

Who should attend: CIOs, chief data officers, database administrators, application developers, IT directors and managers, software engineers, data architects, technology specialists, data analysts, project managers, data scientists, and business directors and managers

Twitter: @WorldDataSummitWeb: worlddatasummit.comDate:May 1820Location: Amsterdam,NetherlandsCost:Conference, 1,295; workshop day, 795; conference andworkshop, 1,595

Thisthree-day conference will help attendees get a better understanding of developing an analytical model for their business and customer growth. Experts will discuss all aspects of data analysis, how to work with unstructured data, and how to upgrade data visualization and interpretability to the next level. Attendees can also dig deeper into customer analytics or increase their technical knowledge by attending a workshop.

Who should attend: Directors and managers ofdata analytics and modeling,data science,customer and market insight analytics,data integration and artificial intelligence,business analytics,predictive analytics,data architecture,andstatistics

Twitter: @Monitorama,#monitoramaWeb: monitorama.com/2022/pdx.htmlDate: June 2729Location: Portland, Oregon, USACost: $700

This conference focuses on techniques and tools used to monitor complex applications and infrastructure. Attendees can hear talks by industry experts and community leaders about the newest approaches to monitoring and observability, including AIOps. Past conferences have covered topics such as rethinking user experiencefor AI-driven monitoring toolsand how AI helps observe decentralized systems.

Who should attend: Monitoring engineers, developers, production engineers, software architects and engineers, reliability engineers, and network architects

Twitter: @scienceppWeb: mldm.deDate: July 1621Location:New York, New York, USACost: TBA

The aim of thisconference is to bring together researchers from all over the world who deal with machine learning and data mining. They willdiscuss the status of the recentresearch and other topics.

Who should attend: Anyone interested in ML and data mining

Twitter: @dremioWeb: dremio.com/subsurface/events/summer-2021/Date (2021): July 21Location (2021):New York, New York, USACost (2021): Free

This event explores the latest open-source innovations and offers real-world use cases. Attendees will hear firsthand from technology leaders at companies includingNetflix, USAA, Adobe, Microsoft, and AWS about their experiences architecting and building modern data lakes. Participants will also learn how to innovate with open-source technologies, such as Apache Iceberg, Amundsen, InfluxDB IOx, Apache Parquet, and more.

Who should attend: Data architects and data engineers

Twitter: @Gartner_inc,#GartnerDAWeb: gartner.com/en/conferences/apac/data-analytics-australiaDate: July 2526Location:Sydney, AustraliaCost:A$2,750 toA$3,475(group discounts available)

Attendees at this event will learn how to establish the strategy, organization, culture, and skills needed to align to business priorities and outcomes, and leverage key data and analytics trends.

Who should attend: Chief data officers, chief analytics officers, andsenior data, and analytics and business leaders

Twitter: @Ai4ConferencesWeb: ai4.io/2021/Date (2021): August 1719Location (2021):VirtualCost (2021): $395 (general registration)

This event brings together business leaders and data practitioners to facilitate the adoption of AI and machine-learning technology. Organizers say their mission is to help provide a common framework for what AI means to enterprises as well as the future of the world.

Who should attend: Individuals who hold nontechnical, senior-level positions and/or technical roles at their organizations;data scientists;and data practitioners

Twitter: @RealBIEvent,#REALBIEVENTWeb: realbusinessintelligence.comDate (2021): September 2122Location (2021):Cambridge, Massachusetts, USA, and virtualCost(2021): $299 to $499

Organized by Dresner Advisory Services, this conference is designed for IT and business leaders looking for strategies for successfulbusiness intelligence, analytics, and information and performance management. It emphasizes using real-world best practices and proven methods to produce pragmatic and actionable takeaways.

Who should attend: Business and IT leaders, CIOs, chief data officers, business intelligence and data governance practitioners, and data scientists

Twitter: @teamreworkWeb: re-work.co/events/deep-learning-summit-london-2022Date: September 2223Location:London, UK,and virtualCost:TBA

This event brings together the latest technology advancements as well as practical examples for how to apply AI to solve challenges in business and society. The mix of academia and industry allows attendees to meet with AI pioneers at the forefront of research as well as explore real-world case studies to discover the business value of AI.

Who should attend: Developers, data scientists, DevOps specialists, IT decision makers, and anyone interested in combining DevOps practices with machine learning

Twitter: @teamreworkWeb: re-work.co/events/ai-for-good-summit-seattle-2022Date: November 1011Location:Seattle, Washington, USACost:TBA

Thisevent will explore responsible and practical applications of machine learning and deep learning to improve individual lives and society, including achieving environmental sustainability, increasing access to education and healthcare, reducing AI bias, and boosting transparency.

Who should attend:Chief data officers, CEOs, CIOs, founders, government leaders, policy advisors, professors, andchief AI officers

Twitter: @odscWeb: odsc.com/california/Date (2021): November 1518Location (2021):San Francisco, California, USACost(2021):$299 to $1,299 (time-sensitive discounts available)

The ODSC West Conference 2021 is billed as one of the largest applied data science training conferences in the world. Instructors include some of the core contributors tomany open-source tools, libraries, and languages. Attendees will hear about the latest AI and data science topics, tools, and languages from some of the best and brightest in the field.

Who should attend: Data scientists, software engineers, analysts, managers, and CxOs

Twitter: @datascisalonWeb: datascience.salon/finance-and-technology/Date (2021): December 1Location (2021):VirtualCost(2021):Free to $45

Theconference brings together specialists in the finance and technology data science fields to educate one another, illuminate best practices, and innovate new solutions in a casual atmosphere.

Who should attend: Senior data scientists anddata decision makers

Twitter: @TRAIF2021Web: responsibleaiforum.comDate (2021): December 58Location (2021):VirtualCost(2021):45 to 675

This three-day event brings together members of industry, civil society, government, and academia to discuss the most relevant and pressing issues related to the responsible use of AI through shared stories, cutting-edge research, and practical applications. Organizers also aim to encourage exchange between research and practice through productive discussion and demonstration.

Who should attend: Anyone involved the field of artificial intelligence

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Make your choices soon and mark your calendars.Prices may vary based on how early you register. Also, remember that hotel and travel costs are generally separate from the conference pricing.

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The best AI, analytics, and big data conferences of 2022 - TechBeacon