10 Data Analytics Conferences to Attend in 2026

Conferences offer a fast way to see how organizations are using data analytics to make decisions and run their operations, with opportunities to learn from real-world case studies and the teams building modern data systems.

And with several major events scheduled for the remainder of 2026, there’s still time to explore the latest trends, tools, and strategies shaping the industry.

91% of Companies Call Data and AI a Top Priority and Conferences Are Catching Up

Organizations are under growing pressure to turn data investments into measurable business outcomes, pushing data and analytics leaders to prioritize governance, operational AI, and scalable infrastructure.

At data analytics conferences, 2026 agendas reflect exactly this tension between strategic priority and practical execution, centered on enterprise AI deployment, analytics modernization, and real-world implementation as organizations look for scalable, lower-risk paths forward.

And the business case for analytics continues to strengthen. According to the CX Network’s industry research, 79% of organizations investing in data analytics report positive impacts on profits.

In the same study, 78% of respondants said it improves customer loyalty. That clearly shows the growing business value of data-driven decision-making.

At the same time, the AI & Data Leadership Executive Benchmark Survey found that 91% of companies consider investments in data and AI a top organizational priority, showing how central data capabilities have become to modern business strategy.

Ivan Burban, head of marketing at Coupler.io, emphasizes the importance of data analytics in modern marketing.

He says: “...making data accessible and simple for analysis increases the value of data management strategy,” adding that “it promotes a data-driven culture within the organization.”

Industry conferences help by giving teams access to:

• Real implementation case studies from companies deploying AI and analytics.
• Direct insights from data leaders on governance, architecture, and strategy.
• Hands-on technical sessions covering modern data platforms, ML systems, and data engineering.
• Peer networking that accelerates problem solving and partnership building.

If you’re evaluating new technology, you can also compare AI data analytics tools before attending, making it easier to identify the platforms and capabilities worth exploring during demos and technical sessions.

1. Disney Data and Analytics Conference: Best for Enterprise Analytics Leaders

Suited to data leaders, analysts, and decision science professionals working with enterprise analytics.

• Date: September 14-16, 2026
• Medium: In-person
• Location: Disney Coronado Springs Resort, Orlando
• Key speakers:
  • Eric Siegel, Founder, Machine Learning Week
• Price: $2,799 (Early Bird ends on July 31)

If you’re curious about how data and analytics operate inside large organizations, the Disney Data & Analytics Conference offers a behind-the-scenes look.

You’ll hear how teams apply analytics to areas like pricing, forecasting, marketing, and decision science, with speakers from Disney and other organizations sharing how they turn data into operational decisions.

The event typically gathers over 2,000 executives, managers, and analysts from hundreds of organizations, creating a mix of practical case studies and cross-industry conversations.

Register to secure your spot and explore the sessions planned for the conference.

2. Data Innovation Summit: Best for Enterprise Data and AI Leaders

For data leaders, analytics professionals, and executives looking to turn data and AI into real business outcomes.

• Date: September 17, 2026
• Location: Sydney, Australia
• Medium: In-person
• Key speakers:
  • Krishna Feron, chief data analytics officer, L’Oreal Malaysia
  • William Tjhi, head of applied research for foundation models at AI Singapore
• Price (starting at): From ~$107 (super early bird)

The Data Innovation Summit is one of the largest global gatherings focused on data, analytics, and AI, bringing together practitioners, tech leaders, and researchers to share real-world case studies and transformation stories.

Across multiple stages and workshops, the event dives into everything from data engineering and governance to machine learning, generative AI, and building data-driven products.

Find the nearest Data Inovation Summit and secure your ticket today.

3. TDWI Transform: Best for Enterprise Analytics and AI Teams

For data leaders, BI professionals, analytics managers, architects, and teams responsible for scaling AI and analytics initiatives across the enterprise.

• Date: September 20–25, 2026
• Medium: In-person
• Location: JW Marriott, Anaheim, California
• Key speakers:
  • Theresa Ancick, CBIP, data governance strategist/consultant, Accura Business Services
  • Julia Bardmesser, CEO, Data4Real
  • Brittni Barnett, IT & AI Leader, Boston Dynamics
  • Stephen Brobst, managing partner, Sampo Technologies & Systems
• Price:
  • Three-day pass: $1,795 (super early bird)
  • Four-day pass: $2,095 (super early bird)
  • Five-day pass: $2,395 (super early bird)
  • Six-day pass: $2,695 (super early bird)

If your organization is moving beyond AI experimentation and looking to build analytics programs with measurable business impact, TDWI Transform offers one of the more practical agendas on the 2026 conference calendar.

This data analytics event focuses heavily on applied learning, combining executive strategy sessions with hands-on workshops, bootcamps, and technical masterclasses covering AI governance, BI modernization, analytics engineering, enterprise data management, and modern data architecture.

A key highlight is the co-located Data & AI Leaders Summit, which explores how organizations operationalize AI while managing governance, risk, data quality, and organizational change.

The focus on real implementation challenges makes the conference especially relevant for business and analytics leaders responsible for delivering outcomes from data investments.

The vendor-neutral format is another advantage, as attendees can expect exposure to practical frameworks and implementation strategies without being tied too closely to a single technology platform.

Secure your spot at TDWI Transform 2026 now.

4. Big Data LDN: Best for Enterprise Analytics and Data Strategy Professionals

For analytics leaders, BI professionals, data architects, engineers, and enterprise teams focused on data-driven transformation.

• Date: September 23-24, 2026
• Medium: In-person
• Location: Olympia, London, United Kingdom
• Key speakers: TBA
• Price: Free

Big Data LDN is one of Europe’s largest conferences dedicated to data, analytics, and AI. It draws technology providers, enterprise teams, and data professionals from across multiple industries.

The conference emphasizes practical implementation and real-world analytics use cases, with sessions on topics like data governance, AI adoption, cloud analytics, data engineering, business intelligence, and modern data architecture.

Big Data LDN offers attendees exposure to a broad range of technologies, frameworks, and enterprise strategies, which makes it especially valuable for organizations that are currently evaluating tools and approaches.

Alongside technical sessions and leadership discussions, there will be workshops, live demos, and networking opportunities to help teams better understand how to operationalize analytics and AI at scale.

Register now to explore the latest enterprise analytics and AI trends at Big Data LDN 2026

5. AI & Big Data Expo Europe: Best for Enterprise AI & Data Strategy Leaders

Best for technology executives, data leaders, AI practitioners, and business teams exploring enterprise-scale AI and analytics adoption.

• Date: October 19-20, 2026
• Medium: In-person
• Location: RAI Amsterdam, Netherlands
• Key speakers:
  • Ambica Rajagopal, group chief data & AI officer, Michelin
  • Nathalia Beekman, chief data officer, Shell
  • Altaf Patel, VP data analytics & AI, PepsiCo
  • Frank Kartmann, VP big data & cloud architecture, Deutsche Bank
• Price:
  • Free pass available
  • Gold pass: ~$865.75
  • Startup pass: ~$755.50

Instead of treating AI as a standalone innovation topic, AI & Big Data Expo Europe focuses on how organizations are applying AI and analytics in real business environments.

The conference covers enterprise AI, machine learning, data ecosystems, governance, analytics infrastructure, NLP, and generative AI through a mix of strategy sessions, case studies, and technical discussions.

The event brings together more than 8,000 attendees, 200+ speakers, and several co-located enterprise technology conferences that span cybersecurity, cloud, digital transformation, IoT, and data centers.

Expect a useful blend of strategic insight and practical enterprise case studies aimed at organizations balancing AI adoption with governance, infrastructure modernization, and measurable business outcomes.

Register for AI & Big Data Expo Europe today

6. CDAO Fall: Best for Enterprise Data and AI Strategy

For CDOs, CAOs, CIOs, VPs, directors, and senior data and analytics leaders.

• Date: October 26-27, 2026
• Medium: In-person
• Location: Renaissance Boston Seaport District, Boston, Massachusetts
• Key speakers:
  • Manajit Barman, chief data officer, United States Air Force
  • Yvonne Li, chief AI and data officer, Starr Insurance
  • Ash Dhupar, chief AI & data officer, Honeywell Aerospace Technologies
• Price:
  • End-user ticket: $499
  • Vendor ticket: $2,499

CDAO Fall will return for its 13th edition in Boston, with more than 500 attendees and 100 speakers expected.

The event is centered on the issues senior data leaders are dealing with now, including AI adoption, governance, organizational change, and the need to turn data strategy into concrete business results.

Its 2026 themes include the human side of data transformation, AI architecture and governance, data strategy execution, and the changing role of AI leadership.

Sessions will look at how enterprises are structuring data teams, managing risk, modernizing their technology foundations, and integrating AI initiatives into day-to-day operations.

Rather than focusing primarily on tools or technical training, CDAO Fall places greater emphasis on leadership decisions, operating models, and the practical challenges of running enterprise-wide data and AI programs.

Register for CDAO Fall 2026.

7. ODSC AI West: Best for Hands-On AI and Data Science Training

For AI engineers, data scientists, developers, technical leaders, and professionals building practical AI skills.

• Date: October 27-29, 2026
• Medium: Hybrid
• Location: Hyatt Regency SFO, San Francisco, California
• Key speakers:
  • Peter Norvig, researcher, Recursive
  • Dr. Jon Krohn, host and co-founder, SuperDataScience Podcast and Y Carrot
  • Nouha Dziri, PhD, senior research scientist, Cohere Labs
• Price:
  • Silver: $649
  • Gold: $859
  • Platinum: $1,099
  • AI Accelerator: $1,299
  • VIP: $1,799

ODSC AI West will pack more than 180 sessions into three days, with eight technical tracks, 250+ speakers, and around 300 hours of content.

Its program is hands-on, covering areas such as data science and machine learning, AI engineering and evaluation, agentic AI, data infrastructure, software development, robotics, and workflow automation.

Training is a major part of the event. Attendees can choose from 80+ workshops and sessions on topics such as AI agents, MLOps, autonomous systems, physical AI, model evaluation, and building production-ready AI applications.

An AI Accelerator program will also begin six weeks before the conference for participants who want more structured preparation.

Business and leadership topics have their own place through the co-located AI X Leadership Summit.

Its tracks will address AI leadership, workplace adoption, governance and risk, and demonstrating ROI, giving technical attendees the option to explore the organizational side of implementation as well.

Explore ODSC AI West passes to find the training and access level that fits your goals.

8. Big Data Conference Europe: Best for Distributed Data Engineers

For data engineers, architects, developers, and technical data practitioners working with large-scale data systems.

• Date: November 24-27, 2026
• Medium: In-person and virtual
• Location: Vilnius, Lithuania
• Key speakers:
  • Alex Campos, Digital Data Strategist, Ververica
  • Thomas Peluritis, Head of Data, Mediatech
  • Cvetanka Eftimoska, Senior Data Engineer, IWConnect
  • Hannes De Smet, Data Engineer, Dataminded
  • Silvan Jongerius, Managing Partner, TechGDPR
• Price: Starting at ~$931.50

If you’re interested in how large-scale data systems are actually built, Big Data Conference Europe offers a technical look behind the scenes.

Across several days of talks and workshops, you’ll explore topics like distributed data processing, data engineering, machine learning pipelines, and modern data architectures.

Many sessions focus on real production environments, giving you a clearer view of the tools, frameworks, and design choices teams use to manage complex data workloads.

Register and review the technical sessions and workshops planned for the conference.

9. AWS re:Invent: Best for Cloud Data Analytics & AI Infrastructure

For data engineers, analytics leaders, cloud architects, developers, and teams building data and AI workloads on AWS.

• Date: November 30-December 4, 2026
• Medium: In-person
• Location: Las Vegas, Nevada
• Key speakers: To be announced
• Price:
  • Early bird: $1,299 through August 25
  • Full price: $2,499
  • Group purchase: 10% discount for 10+ tickets

AWS re:Invent will feature more than 2,200 sessions, including a substantial program for teams working with analytics, cloud data platforms, and AI.

The first wave of sessions covers data lakehouse architecture, Apache Iceberg, analytics performance, data interoperability, and AI agents that can work with enterprise data.

For analytics professionals, the appeal is the depth of the technical content.

Builder sessions, workshops, 500-level deep dives, and expert Q&As will give attendees opportunities to examine how AWS services are being used to modernize data infrastructure, improve query performance, connect data sources, and support advanced analytics workloads.

AI will also be closely tied to the data agenda, with sessions exploring agentic AI, governance, platform engineering, security, and production use cases, including examples in manufacturing and regulated industries.

With many of the sessions being interactive, re:Invent is useful for teams that want practical guidance they can apply to current analytics projects.

Register for AWS re:Invent 2026 to explore the latest AWS data, analytics, and AI capabilities firsthand.

10. The AI Summit New York: Best for Data-Driven Enterprise AI

For data leaders, analytics executives, AI decision-makers, and enterprise teams responsible for turning data into production-ready AI.

• Date: December 9-10, 2026
• Medium: In-person
• Location: Javits Center, New York City
• Key speakers:
  • Ipshita Chakraborty, director, data science & applied AI, HelloFresh
  • Iwao Fusillo, chief data & analytics officer, New York Jets
  • Jennifer Yang, global head of data governance, CDO delegate, global privacy officer, HR and employee experience, Global Bank
• Price:
  • Expo: $49
  • Delegate: $1,799
  • VIP All Access: $2,499

The AI Summit New York will bring more than 7,500 attendees to the Javits Center for two days of enterprise AI, featuring 11 content tracks and a speaker lineup of 350+ global executives.

For analytics teams, the standout track is Data Excellence, which will focus on the data architecture, governance, observability, and operational resilience needed to support reliable AI.

That makes the event relevant to organizations working to bridge the gap between experimentation and production.

Sessions will examine AI-ready data environments, enterprise governance, operational AI, infrastructure, and the challenges that arise as models begin to influence real business processes.

The wider program will also cover AI ROI, scaling, leadership, emerging technologies, and hands-on implementation.

You will be able to compare approaches from enterprise practitioners and solution providers, which can be great for teams evaluating how their current data stack needs to evolve to support more advanced AI use cases.

Explore passes for The AI Summit New York 2026.

How To Choose the Right Data Analytics Conferences To Attend in 2026

The best data analytics conference to attend really depends on your goals. Some events focus on executive strategy and governance, while others are geared toward technical implementation, AI operations, or enterprise analytics modernization.

1. For Data and AI Executives

These conferences are best suited to senior leaders focused on governance, data strategy, AI adoption, and business impact.

• CDAO Fall 2026
• Data Innovation Summit 2026
• The AI Summit New York 2026

2. For Enterprise Analytics and AI Modernization

These events focus on modern data platforms, cloud infrastructure, analytics transformation, and enterprise AI deployment.

• TDWI Transform 2026
• AI & Big Data Expo Europe 2026
• AWS re:Invent 2026

3. For Technical Data and AI Teams

For data engineers, data scientists, developers, architects, and machine learning teams that want deeper technical content and practical training.

• ODSC AI West 2026
• Big Data Conference Europe 2026
• AWS re:Invent 2026

4. For Applied Analytics and Decision Science

These conferences are a good fit for professionals interested in analytics use cases, forecasting, decision-making, and turning data into business action.

• Disney Data and Analytics Conference 2026
• Data Innovation Summit 2026

5. For Broad Data and Analytics Discovery

These larger events are useful for exploring new vendors, platforms, tools, and trends in data, analytics, and AI.

• Big Data LDN 2026
• AI & Big Data Expo Europe 2026
• The AI Summit New York 2026

6. For Hands-On Learning and Training

These events put more emphasis on workshops, technical sessions, masterclasses, and practical skills development.

• TDWI Transform 2026
• ODSC AI West 2026
• Big Data Conference Europe 2026

Each conference offers a different mix of strategic insight, technical expertise, and industry networking, so the right choice depends on your role, business priorities, and the challenges your organization is trying to solve.

Our team ranks agencies worldwide to help you find a qualified partner. Visit our Agency Directory for the Top Big Data Companies, as well as: 

1. Top Big Data Consulting Companies
2. Top Data Science Companies
3. Top AI Companies
4. Top Cloud Consulting Companies
5. Top Big Data Companies in Dallas