Data and Analytics Conferences

Data & analytics is now central to the success of the modern business

All over the world, organizations are harnessing the true power of data and analytics strategies to optimize decision-making during this time of ever present disruption. As a chief data and analytics officer (CDAO), it’s up to you and your team to scale cohesive ecosystems across your organization while using AI to ethically manage data and privacy. 

Join us at the Gartner Data and Analytics Summit, where we’ll provide solutions to the most significant challenges you are facing. This will equip you to create and  empower the innovative and adaptable organizations of the future. 

Gartner Data & Analytics Summit
11 – 13 March 2024 | Orlando, FL
26 – 27 March 2024 | São Paulo, Brasil
24 – 25 April 2024 | Mumbai, India
13 – 15 May 2024 | London, U.K.
21 – 23 May 2024 | Tokyo, Japan
29 – 30 July 2024 | Sydney, Australia

Save the date for one of our 2024 Data & Analytics Summits! View the global conference calendar now. 

Gartner Data & Analytics Summit

Build and execute a data and analytics strategy as you drive business innovation. Join a community of trailblazers and industry experts pushing the bounds of data and analytics.
What’s covered at the Data & Analytics Summit

Discover what matters most now and how to prepare for what’s ahead:

  • Track A: Leadership
  • Track B: Business Value
  • Track C: AI
  • Track D:Analytics 
  • Track E:Data Management 
  • Track F: Trust, Governance and Culture 
  • Special Program: The CDAO Circle
Who should attend the Data & Analytics Summit

Explore how we help you address your top challenges:

Heads of data and analytics, chief data officers (CDOs), and chief analytics officers (CAOs)
Leverage data as a key asset to construct frameworks to build and execute on a successful strategy.

Data and analytics program lead (VP, director, manager) 
Define and execute on strategy by aligning to business value and closing the data, technology, organization and skills capabilities gaps necessary for success.

Data governance and master data management (MDM)
Learn best practices for building an effective data governance strategy and how to communicate the value of MDM to the organization.

Build the right information strategy and architecture to help the business exploit data and analytics to improve business outcomes.

The CDAO Circle

Designed specifically for chief data officers (CDOs) and chief analytics officers (CAOs), the CDAO Circle offers a curated executive experience, delivering presentations, discussions and networking opportunities throughout the conference. We recommend applying for this program when you register for the conference as seats for CDAO Circle sessions are limited and fill up quickly. Make sure you don’t miss out on this exclusive experience, available only to verified CDOs and CAOs attending Gartner Data & Analytics Summit. 

Apply in North America | 11 - 13 March in Orlando, FL 
Apply In India | 24 - 25 April  in Mumbai, India
Apply In Europe | 13 - 15 May in London, U.K.

The one-on-one was amazing. Time on my cutting edge issue with a leader in the field would have been impossible to do otherwise.

David Kessler

Supervisory Data Scientist, NA Attendee

Gartner data and analytics conferences give you the unbiased advice to create an agile data and analytics strategy

Our team of Gartner experts conducts thousands of interactions every year with data and analytics leaders like you. They use this knowledge to help you address your biggest challenges in areas such as culture, digital trust, data literacy, augmented analytics and more. Take a deep dive into the technologies and best practices that will help you create new opportunities and prepare your organization for the future.

Join us for thought-leading guidance and practical tools on how to:

  • Learn the tools and how to build the skills and communities needed to encourage your organization to drive their own business value with analytics
  • Overcome data and analytics complexity and ambiguity to drive business value
  • Unleash innovation through leading technologies: AI, ML, virtual/augmented reality (AV/AR), the Internet of Things (IoT) and digital twins
  • Protect your customers, partners and employees by building a foundation of trust, accountability, governance, security and privacy
  • Identify and capitalize on trends to drive AI and machine learning operationalization at scale.
  • Develop a clear line of sight to concrete objectives and results
  • Foster new roles, (such as Chief Data Scientist) new ways of working and new data-driven thinking
  • Build a portfolio of innovative and relevant business, and industry-specific analytic applications
  • Exploit diverse data, thinking and teams to spark creativity and unleash innovation
  • Harness the right organization, skills, strategy and technologies to build a data-centric culture to support digital business

Find content aligned to your roles below

Organize for success

Understand how to lead cultural change, leverage data and analytics technologies, and upskill existing staff to deliver real business value.

Communicate value to business leaders

Data and analytics leaders have to build an effective data and analytics strategy that will lead to significant business value. Gartner helps you understand the fundamentals for customizing a data and analytics vision and strategy for your enterprise that will engage key stakeholders.

Make data governance and MDM
actually “stick”

Governance and master data management form the foundation of robust data and analytics strategies for customers, partners and employees. Get guidance and best practices to move your information governance and MDM efforts from theory to action.

Build the right strategy and architecture

Leverage existing infrastructure and innovation by aligning information capabilities, architecture and technology to support the data and analytics strategy.

Get the tools to make better decisions.

Join us at Gartner Data & Analytics Summit to discover how to reduce complexity, develop new tools and methods to drive innovation and deliver business value. 

Gartner top trends in data and analytics

Gartner top data and analytics trends help accelerate renewal, drive innovation and rebuild organizations and society over the next three to five years. Leverage these trends into must-have investments to enable recovery.

By the end of 2024, 75% of enterprises will shift from piloting to operationalizing AI, driving a fivefold increase in streaming data and analytics infrastructures.

What does smarter, faster and more responsible AI look like? First, AI systems will grow more adaptable to complex business situations. AI techniques such as ML, optimization and natural language processing (NLP) are providing vital insights and predictions for the future of business. AI and ML are critical for realigning supply and the supply chain to new demand patterns.

As organizations increase investments in new chip architectures such as neuromorphic hardware, they’re reducing reliance on centralized systems that require high bandwidths. Eventually, this could lead to more scalable AI solutions that have greater business impact.

Finally, AI security and explainability is a concern, with AI data pipelines at risk. Responsible AI that enables model transparency is essential to protect against poor decisions, and to enable better human-machine collaboration and trust.

By 2025, data stories will be the most widespread way of consuming analytics, and 75% of stories will be automatically generated using augmented analytics techniques.

As a result of the shift to more dynamic, in-context data stories for insight monitoring and analysis, the percentage of time users spend in predefined dashboards will decline. With the amount of data increasing exponentially all the time, it can be difficult to identify and separate the valuable insights. Typical analysis currently requires a person with a specialized skill set, which limits the business impact of data.

However, over the next few years, augmented analytics will enable ML and AI techniques to automate certain data and analytics tasks. This, combined with NLP and business monitoring capabilities, will allow personalized data insights to be delivered to relevant business partners, increasing the business impact and decreasing the amount of predefined data dashboards in use.

By 2023, more than 33% of large organizations will have analysts practicing decision intelligence, including decision modeling.

Decision intelligence brings together a number of disciplines, including decision management and decision support. It encompasses applications in the field of complex adaptive systems that combine multiple traditional and advanced disciplines.

It provides a framework to help data and analytics leaders design, compose, model, align, execute, monitor and tune decision models and processes in the context of business outcomes and behavior.

Explore using decision management and modeling technology when decisions need multiple logical and mathematical techniques, must be automated or semiautomated, or must be documented and audited.

By 2025, AI for video, audio, vibration, text, emotion and other content analytics will trigger major innovations and transformations in 75% of Fortune 500 global enterprises.

Gartner coined the term “X analytics” to be an umbrella term, where “X”  is the data variable for a range of different structured and unstructured content such as text analytics, video analytics, audio analytics, etc.

X analytics enable organizations to combine content types and create a richer situation awareness beyond the insights that can be derived from only highly structured/transactional data. These new insights can then lead to a transformation or other innovation.

Data and analytics leaders are using X analytics to solve society’s toughest challenges, including climate change, disease prevention and wildlife protection.

During the pandemic, AI was critical in combing through thousands of research papers, news sources, social media posts and clinical trials data to help medical and public-health experts predict disease spread, capacity-plan, find new treatments and identify vulnerable populations. X analytics, combined with AI and other techniques such as graph analytics, will play a key role in identifying, predicting and planning for natural disasters and other business crises and opportunities in the future.

By 2023, organizations utilizing active metadata, ML and data fabrics to dynamically connect, optimize and automate data management processes will reduce time to integrated data delivery by 30%.

Augmented data management uses ML and AI techniques to optimize and improve operations. It also converts metadata from use in auditing, lineage and reporting to powering dynamic systems.

Augmented data management products can automatically discover metadata from operational data, including actual queries, performance data and schemas. Using the existing usage and workload data, an augmented engine can tune operations and optimize configuration, security and performance.

Data and analytics leaders should look for augmented data management enabling active metadata to simplify and consolidate their architectures and connect data silos, and also increase automation in their redundant data management tasks.

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