First look at the Gartner Data & Analytics Summit agenda

We’re currently curating the full agenda for Gartner Data & Analytics Summit 2022, 7 – 8 November, in Sydney, Australia. We are covering the most pressing topics in data and analytics, such as artificial intelligence (AI), machine learning (ML), augmented analytics, data fabrics, governance, privacy, leadership, culture and so much more.   

Below is a sample of the sessions we’ve already selected for the 2022 agenda.

Preliminary agenda sessions

Data and analytics leaders are expanding their sphere of influence and impact on the business. This track investigates critical topics such as unleashing innovation, redefining culture, and building and managing creative teams.

Recommended sessions

  • Data-Driven Foundations: Getting Started With Data Literacy and Data-Driven Business Transformation
  • Scenario Planning: How D&A Leaders Can Provide Insight Into the Future
  • The Foundation of Organization and Roles: From Control to Collaborate
  • Driving a Data-Driven Transformation Program
  • How to Have an Engaging Conversation With Your CEO About Data and Analytics

Data and analytics functions have always been critical to organizations, but now they have taken center stage as vital to business strategy. This track explores how to prioritize data and analytics investments and develop a strategy to ensure success.

Recommended sessions

  • How to Drive the Business Value of Data and Analytics
  • The Future of Data and Analytics: Reengineering the Decision, 2025
  • How to Leverage Customer Data Management Technologies for Better Customer Experiences
  • The Foundation of an Effective Data and Analytics Operating Model
  • The Foundation of a Modern Data and Analytics Strategy
  • Where and How MDM Adds Value to the Business

Diversity, privacy, sustainability and other societal concerns are now top of mind with consumers. This track provides guidance for putting trusted, agile data and analytics, and AI governance practices in place.

Recommended sessions

  • Digital Ethics: Where Are You Now and What Will Be Next?
  • Metadata Is the Key to Self-Learning, Augmented Data Governance
  • The Foundations of Master Data Management
  • The Foundation and Future of Data and Analytics Governance
  • Data and Analytics Everywhere Needs Connected Governance

Digital acceleration and agility require analytics to be infused into every role, business process, decision and action. This track addresses how to make analytics fundamental to all parts of the business in a trusted way.

Recommended sessions

  • How to Govern Self-Service Analytics
  • Data Storytelling: A Better Way to Engage Decision Makers With Data 
  • Rethink Self-Service: Establish Analytic Franchises to Drive Adoption, Break Bottlenecks and Maximize Value
  • Scaling Analytics for Everyone Through Automation

Developing and operationalizing AI, data science and ML can be daunting. This track is dedicated to exploring the strategies, tools, technology trends, skills and roles needed for successful deployment.

Recommended sessions

  • Maximize Value by Extending to Predictive and Prescriptive Analytics
  • Embed Data Privacy Within Data Science Solutions Using Synthetic Data and Other Techniques
  • Struggling With Establishing Trust in AI? Reduce Model Bias and Incorporate Explainable AI
  • The Future of Data Science and Machine Learning: Critical Trends You Can’t Ignore
  • How to Find Winning AI Use Cases
  • Use AI Maturity Model to Do The Right Things at the Right Time

Harnessing innovative technologies to change business models and define new ways to interact with and serve customers, partners, suppliers and employees is a top priority. This track explores emerging trends reshaping business today.

Recommended sessions

  • How to Design a Data Fabric for Augmented Data Management and Integration
  • Adaptive Systems: The Next Stage of AI Solutions
  • Top Trends in Data and Analytics for 2022
  • Decision Making and Optimization Across Your Enterprise and Ecosystem
  • Edge Computing and Internet of Things Solutions: What to Know and How to Prepare

Digital acceleration requires that enterprises transition from being data-driven to being data-and-analytics-centric. This track explores how to architect disparate data and analytics capabilities across your various data and analytics vendors and solutions.

Recommended sessions

  • The Evolution of Data Management Beyond 2022
  • Maximize Business Outcome by Adopting Modern Data Catalog with AI-enabled Metadata Capabilities
  • Twelve Quick Actions to Improve Your Data Quality
  • Data Lakes, Data Warehouses and Data Hubs Aren’t the Same: Know Their Capabilities and Purpose