We’re currently curating the full agenda for Gartner Data & Analytics Summit 2023, 22 – 24 May 2023 | London, U.K. We are covering the most pressing topics in data and analytics (D&A), such as data storytelling, data literacy, data architectures, data fabrics, governance, AI, machine learning (ML), leadership, culture and so much more.
Your first look at the agenda
Below is a sample of the sessions we’ve already selected for the 2023 agenda
Track A: Leadership, Skills and Culture
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.
Recommended sessions:
- 5 Hacks to Drive Pervasive D&A Usage
- Advanced D&A Strategy: Learn From Top CDAOs How to Make the Biggest Difference
- Ask the Expert: People — How to Take Them on Your Data Journey
- CDAOAGENDA 2023 — Presence, Performance and Persistence
- Change Management and Communication Unlock Data-Driven Business Value
- How to Attract, Sustain and Retain Talent for Your Data, Analytics and AI Teams
- How to Measure and Communicate the Value of Data Literacy
- Pragmatic Techniques to Foster a Data-Driven Culture
- Roundtable: AUR: Address Both the Skill and Will to Deliver Data-Driven Business Change
- Roundtable: AUR: How to Obtain Buy-In and Sell Data and Analytics to Stakeholders
- Roundtable: What Are the Must-Have Roles for Data and Analytics and Where to Find Them?
- So You Want to Be CDAO?
- The Foundation of Organization and Roles: From Control to Collaborate
- What Do CDAOs Need to Work on in 2023? People Skills!
- Five Steps to Create a Productive Analytics and AI COE
Track B: Data Management
Data is now widely recognized as the most important asset of an organization, central to applications, analytics, AI and ML. This track highlights the current and future data management strategies, such as data ecosystems and financial governance, as well as the full set of tools, metadata management and master data management.
Recommended sessions:
- Ask the Expert: Data Catalog to Data Fabric: Understanding Modern Technology Components
- Ask the Expert: Everything You Wanted to Know About Cloud Data Management but Were Afraid to Ask
- Ask the Expert: How to Evaluate and Select the Most Optimal Data Integration Tool?
- Avoid Data Lake Failures by Addressing Modern Lake Requirements
- Be Equipped to Face the Emerging Trends in the Data Management Market
- Data Ecosystems — Data Management in a Box; No Assembly Required
- Data Fabric or Data Mesh: Debate on Deciding Your Future Data Management Architecture
- Data Lakes, Data Warehouses, Data Hubs and Now Lakehouses: What Are They and How to Choose
- Data Observability: A New Trend You Need to Know for Building Reliable Data Landscapes
- Five Ways to Mature Your Data Engineering Practice
- Foundations of Self-Service Data Management
- The Active Metadata Helix: the Benefits of Automating Data Management
- The Practical Data Fabric — How to Architect the Next Generation Data Management Design
- What Every CDAO Should Learn About Data Management
- Forbidden Questions Bold Data Engineers Should be Discussing With AI Aficionados
Track C: Analytics
To increase the impact of analytics on an organization, D&A 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 and how to organize them, plan to deliver them and align them to stakeholder needs.
Recommended sessions:
- Decisions: Can Data and Analytics Make Them Better?
- 7 Fatal Flaws of Self-Service Analytics
- Ask the Analyst: Stream Analytics Trends, Tools and Best Practices
- Ask the Expert: Trends and Best Practices for Decision Thinking
- Data Storytelling: A Better Way to Engage Decision Makers With Data
- Decision Intelligence and Optimization Across Your Enterprise and Ecosystem
- Emerging Practices for Decision Intelligence: The Next Leap for Data, Analytics and AI
- How Language Technologies Are Reshaping the Foundation of Analytics and What to Do About It
- How to Rationalize and Consolidate Analytics Tooling
- Real-Time Stream Processing and Data in Motion
- Top Trends for Data and Analytics in 2023
- Use Composable Data and Analytics to Build Modular Business-Oriented Analytics Experiences
- Workshop: Engaging Decision Makers Through Data Visualization and Storytelling
- Smart Analytics for Even Smarter Cost Optimization
- Ten Great Examples of Analytics in Action
Track D: Strategy and Value
This track explores how to identify, assign value and prioritize data and analytics investments as well as develop a coordinated strategy and operating model to ensure success
Recommended sessions:
- Ask The Expert: How to Launch and Sustain a Cost Optimization Program
- Contract Negotiation Clinic: 3 Steps to Strategic Negotiation With Your Top Tier Software and SaaS Vendors
- Evaluating & Selecting D&A Service Providers
- Gartner Futures Lab: Reengineering Decision Making, 2025
- Leverage Data and Analytics Ecosystems for Adaptability, Speed and Lower Cost
- Practical Guide for Evaluating and Selecting Service Providers
- Rethinking Your Elusive Quest for Business Value
- Scale Data Reuse and Resharing for Business Value Without Perfect Trust
- Technical Insights: Deploying D&A Architecture in Cloud Platforms of AWS, Azure and GCP
- Technical Insights: Developing an Effective Cloud D&A Migration Strategy
- The Foundation of a Modern Data and Analytics Strategy
- Top Data and Analytics Predictions, 2023
- Workshop: How to Link Data, and Analytics to Business Outcomes (Updated)
- Workshop: How to Measure and Improve Data and Analytics Maturity
- Achieve Strategic Value in AI With Seven Practices
- Decision Intelligence Platforms — No Excuses for Bad Decisions Anymore
Track E: Data Science, Machine Learning and Artificial Intelligence
This track explores the technology trends, organizational requirements, skill development and talent needed for successful deployment
Recommended sessions:
- AI Implementation: The Path Toward Greener Future
- Ask the Expert: Demystifying Quantum, AI Chips, GPUs and Other Advanced Computing Infrastructures for AI
- Ask the Expert: Graph Fundamentals
- Foundations of AI — Still Confused? A Minimal Viable Knowledge Set to Get Started With AI
- How to Improve the Performance of Stalled AI Projects
- Real-Time AI and Decision Intelligence
- Roundtable: How Can We Leverage Knowledge Engineering for a Knowledgeable Workforce?
- The Foundation of Data Science and Machine Learning: Delivering Value in the Age of AI
- The Future of AI
- The Future of Data Science and Machine Learning: Critical Trends You Can't Ignore
- The Logical Feature Store: Managing Data for ML
- Why Your Next Data Science Project Should Use Graph Analytics and Machine Learning
- Workshop: AI Strategy — From Plan to Execution
- Workshop: How to Identify the Right Use Case for Your AI Project
Track F: Trust, Governance and Privacy
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.
Recommended sessions:
- Foundations and Essentials of Master Data Management
- Twelve Actions to Improve and Sustain Your Data Quality
- Workshop: How to Measure and Improve Data Quality?
- Data and Analytics Governance: Foundations and Prospects
- Ask the Expert: Governing Self-Service Analytics
- Dangerous Data: Can’t Live With It, Can’t Live Without It
- Deploy Data and Analytics Governance Effectively to Drive Better Decisions
- Develop an AI Governance Strategy to Balance Value and Risk
- Financial Governance and FinOps in Cloud: Avoid an Unpleasant Conversation With Your CFO
- Responsible AI: From Bias and Privacy to Compliance and Risk Management
- Roundtable: Happy (and Horror) Stories From Data and Analytics Governance Initiatives
- Trends in Privacy, and How PETs Can Help