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The best AI, analytics, and big data conferences of 2021

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Linda Rosencrance Freelance writer/editor
 

As in 2020, most conference organizers are once again opting to hold their events virtually, althoug some events scheduled for the latter half of the year are optimistically scheduled to be in-person events.

But whether events are online or in-person, they're still one of the best ways to learn and develop new skills. Additionally, you can meet interesting people and discover how others are applying AI, analytics, big data, and machine learning in their work.

Here's TechBeacon's 2021 A-list of AI, analytics, and big data conferences.

January

Subsurface: The Cloud Data Lake Conference

Twitter: @dremio

Web: subsurfaceconf.com/winter2021

Date: January 27-28

Location: Virtual

Cost: Free

 

This conference explores the latest innovations and offers real-world use cases. Attendees will hear firsthand from technology leaders at companies including Netflix, USAA, Adobe, Microsoft, and AWS about their experiences 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

Deep Learning 2.0 Virtual Summit

Twitter: @teamrework

Web: re-work.co/summits/deep-learning-virtual-summit-2021

Date: January 28-29

Location: Virtual

Cost: $199 (Last chance pass $249)

 

This event brings together the latest technology advancements as well as practical examples of applying AI to solve challenges in business and society. Attendees will hear about advances in deep learning and 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

 

February

Data2030 Summit 2021

Twitter: @Data2030Summit

Web: data2030summit.com

Date: February 8-11

Location: Virtual

Cost: 2,490 SEK

 

Data2030 Summit is an annual strategy roundtable event that gathers the data management community to discuss ways to allow faster data innovation and AI deployment across the enterprise. The 2021 program focuses on the most business-critical data management challenges, as well the latest methodologies, strategies, and tools that organizations use to address those challenges.

 

Who should attend: Chief data officers and data practitioners working with information management, data governance, master data management, data quality, enterprise architecture, and DataOps

 

Datanova

Twitter: @starburstdata
Web: events.starburst.io/datanova
Date: February 9-10
Location: Virtual
Cost: Free

This conference is focused on analytics acceleration, with an eye toward new and newly critical data. The event is dedicated to helping data teams quickly unlock the value in all their data. 

Who should attend: Data leaders, data engineers, data architects, platform administrators, data scientists, and data analysts

Data Science Salon Virtual: General Machine Learning Practices (Healthcare, Technology, Finance)

Twitter: @datascisalon

Web: datascience.salon/healthcare-finance-technology/

Date: February 16-17

Location: Virtual

Cost: Free to $295

 

This event brings together data science specialists in the healthcare, technology, and finance fields to educate one another, illuminate best practices, and develop new solutions. Attendees will learn from practitioners, technical experts, and executives about how to solve real-world problems by harnessing disruptions in data, AI, machine learning, and cutting-edge technologies.

Who should attend: Senior data scientists and data decision makers

March

ODSC East

Twitter: @odsc

Web: odsc.com/boston

Date: March 30-April 1

Location: Virtual

Cost: $129 to $479 (time-sensitive discounts available); virtual bootcamp, $599

 

ODSC East 2021 is billed as one of the largest applied data science conferences in the world. Speakers at this year's event include core contributors to many open-source libraries and languages. Attendees will learn about the latest AI and data science topics, tools, and languages from some of the best and brightest minds in the field.

 

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

April

Deep Learning Summit London

Twitter: @teamrework

Web: re-work.co/events/deep-learning-summit-london-2021

Date: April 15-16

Location: Hybrid: London, United Kingdom, and online

Cost: TBD

 

This event brings together the latest technology advancements as well as practical examples to solve challenges in business and society by using AI. Attendees will hear about advances in deep learning 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

 

Enterprise Data World

Twitter: @EnterpriseData

Web: edw2021.dataversity.net

Date: April 18-23

Location: Hybrid: San Diego, California, USA, or online

Cost: $499 to $1,499

 

For more than 24 years, this conference has been recognized as one of the most comprehensive when it comes to data management. The forum covers a wide range of topics, including data architecture, enterprise information management, data engineering, AI, machine learning, and data and information quality. This event features live, instructor-led workshops, tutorials, product demos, case studies, and keynotes.

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

May

Gartner Data & Analytics Summit

Twitter: #GartnerDA

Web: gartner.com/en/conferences/emea/data-analytics-uk

Date: May 18-20

Location: Virtual

Cost€1,275 (public-sector and group discounts available)

 

Attendees at this event will learn how to tie data and analytics strategy to business outcomes and promote the adoption of technologies such as AI, while creating a culture that accelerates change. The event offers participants a deep dive into the latest data and analytics trends and tools.

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

World Data Summit

Twitter: @WorldDataSummit

Web: worlddatasummit.com

Date: May 19-21

Location: Amsterdam, Netherlands

Cost: Conference, €1,295.00; workshop day, €495; conference and workshop, €1,595.00

 

The three-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 of data analytics and modeling, data science, customer and market insight analytics, data integration and AI, business analytics, predictive analytics, data architecture, and statistics

Data Summit 2021

Twitter: @infotoday

Web: dbta.com/DataSummit/2020/Default.aspx

Date: May 24-26

Location: Boston, Massachusetts, USA

Cost: TBD

This conference is organized by Information Today Inc., a publisher of Internet and technology magazines, newsletters, and books, as well as a stager of large-scale conferences and trade shows. The forum typically has four conference tracks, including one about the latest trends in analytics and another on the latest advances in data architecture.

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

June

The Responsible AI Forum

Twitter: @TRAIF2021

Web: responsibleaiforum.com

Date: June 7-9

Location: Munich, Germany

Cost€800 (student, startup, and early discounts available)

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

Who should attend: Anyone involved the field of AI

 

Gartner Data & Analytics Summit

Twitter: #GartnerDA

Web: gartner.com/en/conferences/apac/data-analytics-australia

Date: June 8-9

Location: Virtual

Cost: $1,325 (public-sector and group discounts available)

Attendees will learn how to tie data and analytics strategy to business outcomes and promote the adoption of technologies such as AI, while creating a culture that accelerates change. The event offers participants a deep dive into the latest data and analytics trends and tools.

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

Monitorama

Twitter: @Monitorama / #monitorama
Web: monitorama.com/2021/pdx.html
Date: June 21-23
Location: Portland, Oregon, USA
Cost: $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 UX for AI-driven monitoring tools and how AI helps observe decentralized systems.

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

AIOPs Expo

Twitter: @AIOpsExpo
Web: aiopsexpo.com
Date: June 22-25
Location: Miami, Florida, USA
Cost: $599 to $1,995 (time-sensitive discounts available)

AIOps Expo offers attendees a deep dive into how AI and machine learning can improve application performance, network performance, and security. The forum focuses specifically on AI for IT operations platforms that build and improve upon application performance monitoring, network performance monitoring, and diagnostic tools.

Who should attend: IT operations analysts, IT operations assistants, IT operations managers, business systems analysts, CRM and sales force experts, industrial engineers, network admins and engineers, performance management experts, process engineers, service management team members, and others

July

Industry of Things World USA

Twitter: @IoTClan / #IoTClan
Web: industryofthingsworldusa.com
Date: July 12-13
Location: Hybrid: San Diego, California, USA, and online
Cost: Varies

Organizers say that this event is the leading business platform for smart manufacturing and the industrial IoT. The event focuses on real-world case studies of end users, looking at how smart manufacturing technologies are changing businesses and industries. Speakers from around the world offer insights into their concepts and present current strategies. Topics include automation, machine-to-machine communication, interoperability, analytics, and new business models. Sister conferences are scheduled for Berlin, Germany, and Singapore.

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

MLDM 2021: International Conference on Machine Learning and Data Mining

Twitter: @sciencepp
Web: mldm.de
Date: July 17-22
Location: New York City, New York, USA
Cost: Varies

This conference aims to bring together researchers from all over the world who deal with machine learning and data mining to discuss the recent status of the research and to direct further developments.

Who should attend: Anyone interested in machine learning and data mining

August

Ai4 2021

Twitter: @Ai4Conferences

Web: ai4.io/2021/

Date: August 17-19

Location: Virtual

Cost: $395 (general registration)

 

This event brings together business leaders and data practitioners to facilitate the adoption of AI and machine-learning technologies. Organizers say their mission is to help provide a common framework for what AI means to the enterprise as well as the future of the world in the face of a new era of responsible human-machine collaboration.

 

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

September

Real Business Intelligence Conference

Twitter: @RealBIEvent / #REALBIEVENT

Web: realbusinessintelligence.com

Date: September 21-22

Location: Hybrid: Cambridge, Massachusetts, USA, and online

Cost: $299 to $499

 

Organized by Dresner Advisory Services, this conference is designed for IT and business leaders looking for strategies for success with business 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

AI & Big Data Expo North America

Twitter: @ai_expo

Web: ai-expo.net/northamerica/

Date: September 22-23

Location: Santa Clara, California, USA

Cost: TBD

 

This event will provide insight from over 500 speakers sharing their industry knowledge and real-life experiences in solo presentations, expert panel discussions, and in-depth fireside chats. Topics include demystifying AI, creating an AI-powered organization, machine learning, decision science, RPA and automation, data analytics, and chatbots.

Who should attend: CTOs, heads of innovation and technology, IT directors, developers, investors, and professionals from the government and automotive sectors

October

SRECon Europe, Middle East, Africa

Twitter: @SREcon / #SREcon
Web: usenix.org/conference/srecon21emea
Date: October 12-14
Location: Amsterdam, Netherlands
Cost: TBD

The SRE conferences are a series of forums for site reliability engineers. The forums focus on resilience, reliability, and performance in complex distributed systems.

Who should attend: SREs, software architects, and developers

November

AI for Good Summit

Twitter: @teamrework
Web: re-work.co/events/ai-for-good-summit-seattle-2021
Date: November 11-12
Location: Seattle, Washington, USA
Cost: $1,095 to $1,495 (time-sensitive discounts apply)

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

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

ODSC West

Twitter: @odsc
Web: odsc.com/california/
Date: November 15-18
Location: San Francisco, California, USA
Cost: $299 to $1,299 (time-sensitive discounts available)

The ODSC West Conference 2021 is billed as one of the largest and only applied data science training conferences in the world. Instructors include some of the core contributors of many 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 individuals in the field.

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

 

Mark your calendars and make your choices soon! 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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