Gartner Data & Analytics Summit
March 20 – 22, 2023 | Orlando, FL
Lead With Purpose, Make an Impact
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DRAFT
Gartner IT Infrastructure, Operations & Cloud Strategies Conference 2020
Today’s rapidly evolving business landscape continues to drive both the opening up of new opportunities and the emergence of new challenges for data and analytics (D&A) leaders. Now is the time to focus on improving productivity and transforming organizational culture, while also continuing to invest in new D&A roles.
Gartner Data & Analytics Summit 2023
addresses the most significant challenges D&A leaders face while navigating disruption and building the adaptable, innovative organizations this shifting environment demands.
Harnessing the full power of D&A today requires D&A leaders to guide their teams with purpose and scale their scope beyond organizational silos as companies push to transform and accelerate their data-driven strategies.
Keynotes
Our powerful lineup of keynote speakers helps you expand your thinking and discover new approaches to make smarter business decisions.
Gartner keynotes
How to Tell Your Story Like a Pro
Leigh McMullen, Distinguished VP Analyst
Guest keynote
Accelerate learning and build a shared vision by attending as a group.
Teams
Find Out More
Save on registration when you attend the conference with your colleagues:
1 for every 3 paid registrations 2 for every 5 paid registrations 3 for every 7 paid registrations 4 for every 10 paid registrations
Opening Keynote: Lead for Purpose. Connect With Trust. Make an Impact.
Debra Logan Distinguished VP Analyst
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Group Rate Discount
Kurt Schlegel VP Analyst
Data and analytics leaders can deliver increasing value to their organizations. This keynote uncovers new research and trends that will enable you to find new powerful ways to connect with stakeholders, address skills shortages and build trust to overcome cultural resistance to change. Learn how to attract and retain a world-class data and analytics team and lead with purpose to ensure the data-driven transformation required for success.
Gartner keynote
Daryl Plummer Distinguished VP Analyst and Gartner Fellow
In a fast-changing digital world, CIOs and CDAOs must be able to decide which trends should be prioritized first for investment. The rise of geospatial data and the use of data in large language models for AI represent two phase shifts in how technology economics will evolve. This presentation examines the indicators and economic phase shifts that are associated with the digital revolution.
The New Economics of Technology and Data
Tracks
Gain actionable insight from six topic-based tracks and four spotlight tracks that span the entire agenda.
Tracks covering your top priorities
Spotlight tracks
View Full Agenda
CDO Circle
40% of boards of directors will have a dedicated cybersecurity committee overseen by a qualified board member, up from less than 10% today.
Source: Gartner
By 2025,
30% of all security teams will have increased the number of employees working remotely on a permanent basis.
By 2022,
A. Leadership, Skills and Culture B. Data Management C. Analytics D. Strategy and Value E. Data Science, Machine Learning and Artificial Intelligence F. Trust, Governance and Privacy
Master Data Management Technical Insights for Data and Analytics Practitioners Environment, Social, Governance Innovation Recession-Proofing Your D&A Strategy
The CDAO Circle
As the role evolves, CDAOs must focus on creating business value, nurturing data and analytics talent, creating a data-driven culture, and providing the supporting technology infrastructure. The CDAO Circle provides targeted content, workshops and networking opportunities. Join us and form valuable connections with peers and Gartner experts.
Access to the CDAO Circle is by invitation only and dependent on space availability. Conference attendees can request admission to the CDAO Circle. All qualified registrants will be considered and confirmed based on eligibility requirements defined below.
Find out if you qualify here.
Chief data and analytics officers (CDAOs) and D&A leaders must be purposeful in driving the organizational and cultural transformation necessary to become a data-driven enterprise. This track explores how to hire and retain individuals and lead teams for business productivity, employee retention and professional growth.
A. Leadership, Skills and Culture
Data is now widely recognized as the most important asset of an organization, central to applications, analytics, AI and machine learning (ML). This track highlights the full set of tools for data management, covering database management, data integration, data quality, metadata management and master data management (MDM).
B. Data Management
To increase the impact of analytics on an organization, data and analytics leaders must change their mindsets, shifting their focus beyond the implementation of analytics capabilities toward the delivery of business outcomes. This track navigates those analytics capabilities, how to organize and plan to deliver them, and how to align them to stakeholder needs.
C. Analytics
Data and Analytics is part of every business discussion about digital transformation. This requires creating a D&A strategy that can make an impact to the organization’s mission-critical priorities, establish and manage value expectations, and build an operating model to execute. This track explores how to identify, assign value and prioritize D&A investments as well as develop a coordinated strategy and operating model to ensure success.
D. Strategy and Value
Scaling and operationalizing data science, ML and AI is critical to driving value and impacting how decisions within the organization are made. This track explores the technology trends, organizational requirements, skill development and talent needed for successful deployment.
E. Data Science, Machine Learning and Artificial Intelligence
In order to exploit business opportunities and challenges, organizations must establish the right foundations for data and analytics governance. Trust, privacy, ethics and accountability are central to this foundation. This track provides guidance for putting trusted, agile data and analytics and AI governance practices in place.
F. Trust, Governance and Privacy
MDM is a foundational building block for digital transformation but also for the business agility required to navigate uncertain times more broadly. A technology-enabled business initiative, this spotlight track addresses the fundamentals across people, process, technology and the MDM market.
Master Data Management
Gartner for Technical Professionals research explores insights into the best practices, methodologies, tools and infrastructure needed to ensure operational success. This spotlight track provides actionable insights into architecting, implementing and operationalizing data and analytics and AI.
Technical Insights for Data and Analytics Practitioners
Data, analytics and AI increasingly play a pivotal role in supporting ESG topics such as sustainability, diversity and human rights. On the other hand, attention is needed for the growing environmental footprint of data processing and machine learning. This spotlight track offers a much-needed ESG perspective on D&A.
Environment, Social, Governance
Explore Sessions
D&A is both a driver and enabler of innovation across the organization. This spotlight track clarifies innovative D&A technologies as well as best practices in using D&A to drive innovation.
Innovation
In times of economic uncertainty, executive decision making is always looked at acutely. Critical business decisions range across cost optimization (for cash-strapped organizations) to strategic investments to “win in the turns” and exploit the opportunity (for those with funds). Data, analytics and AI will be more important than ever to every organization.
Recession-Proofing Your D&A Strategy
Interactive
This conference is designed so you can engage with and learn from peers and Gartner experts in myriad ways:
Workshops
One-on-one sessions
Bake-Offs
Roundtables
Ask the Expert sessions
Topic-driven end-user forums moderated by Gartner experts. Learn what peers are doing around particular issues and across industries. (Preregistration is required.)
Where Next — Women in IT How to Organize Your Data and Analytics? What Are the Must-Have Roles for Data and Analytics and Where to Find Them? Happy (and Horror) Stories From Data and Analytics Governance Initiatives Address Both “Skill” and “Will” to Deliver Data-Driven Business Change Leverage Knowledge Engineering for a Knowledgeable Workforce
• • • • • • •
Small-scale, interactive sessions for you to drill down on specific topics with a how-to focus. (Preregistration is required.)
How to Measure and Improve Data Quality Create a RACI Matrix of Skills for Your Data and Analytics Organization How to Measure and Improve Data and Analytics Maturity How to Link Data to Business Outcomes How to Identify the Right Use Case for Your AI Project How to Combat Inflation During Vendor Negotiations Using the Gartner Four-Step Approach Engaging Decision Makers Through Data Visualization and Storytelling How to Build Happy Data Science Teams With High Value and Low Attrition
• • • • • • • •
How to Evaluate the Most Optimal Data Integration Tool for Your Data and Analytics Use Case?
Topic-driven sessions providing a more intimate discussion forum featuring one Gartner expert and end-user peers posing questions.
How to Use the Gartner S-A-V-E Methodology to Launch and Sustain Your Cost Optimization Program
• • • • • • • • • • • • •
Reduce Risks and Costs in AI and RPA Software and SaaS Deal Everything You Wanted to Know About the Data Fabric But Were Afraid to Ask! Everything You Wanted to Know About Cloud Data Management But Were Afraid to Ask! Data Catalog to Data Fabric: Understanding Modern Technology Components
How to Use the Gartner 9-Step Process to Manage Software Audits and Tips and Tactics to Negotiate Audit Settlements
How Can You Leverage Technology to Save Data Quality Challenges? NLP and Customer Service: Technologies and Use Cases Annoying People: How to Take Them on Your Data Journey Trends and Best Practices for Decision Thinking Demystifying Quantum, AI Chips, GPUs and Other Advanced Computing Infrastructures for AI Stream Analytics Trends, Tools and Best Practices What Is Data Observability, and Anything About Data Observability?
Two 30-minute private sessions with the Gartner expert of your choice. Get targeted, personalized advice to help you plan proactively and invest wisely.
View All Experts
See side-by-side, scripted demonstrations using a common ‘data for good’ data set of three leading modern analytics and BI solution providers. Learn key features to consider, how they compare in action, and how to improve your own evaluation process.
This year’s data for good topic is “Natural Disaster Recovery and Mitigation: Reasons for Optimism.”
Get unparalleled, expert guidance to tackle your biggest priorities at Gartner Data & Analytics Summit.
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View Exhibitors
Exhibitors
In a tech-driven world, access is everything — and Gartner Data & Analytics Summit gives it to you. Connect and engage with solution providers at the forefront of technology.
Premier
Platinum
Archer Safe Security Thycotic Software Tripwire
Secureworks SessionGuardian
Silver
Explorium OneTrust Profisee ZenOptics
Register before June 24 to save $350 on the standard rate.
Premier Plus
When you’re looking to address a specific issue, these strategic roadmap presentations and user case studies provide real-world advice.
Ways to engage
Solution Provider sessions
Make educated investment decisions based on unbiased insights from Gartner, case studies and live interactions with solution providers.
Interactive sessions
Get a snapshot of the solution landscape, driven by Gartner research. Create your solution provider shortlist based on your assessment criteria.
Gartner Magic Quadrant™ sessions
Meet with exhibitors and receive individual guidance tailored to your goals and challenges. You’ll be offered tangible next steps to immediately implement solutions and achieve business priorities.
Exhibitor meetings
Updated as of 1/6/23.
