2022 track highlights

Our Gartner experts, who are at the top of their fields, helped attendees address their most critical challenges. These key topics kickstarted conversations around priorities and initiatives so that attendees could tackle what was most important to them.

Track A: Leadership and Skills: Be the Change Maker

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

Track B: Business Strategy and Value: Optimize impact

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

Track C: Trust, Governance and Privacy: An Urgent Imperative

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

Track D: Analytics Everywhere: Better Decisions, Realize Value

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

Track E: Data Science and Machine Learning: Unleash Innovation

Developing and operationalizing data science and machine learning (ML) can be daunting. This track was dedicated to exploring the strategies, tools, skills and talent needed for successful deployment.

Track F: Artificial Intelligence: Delivering Value at Scale

To realize its great potential, AI must go beyond experimentation and prototyping. This track addressed value opportunities, operating models, roles and skills, technology trends and best practices to turn AI’s promise into a reality.

Track G: Data and Analytics Architecture: Your Digital Acceleration Ecosystem

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.

Track H: Emerging Technologies and Trends: Reach Beyond

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.

Spotlight Track: Master Data Management: Build the Foundation

Master data management (MDM) alone does not address the needs of the business. This spotlight track addresses the shared fundamentals across MDM and data and analytics governance as well as advanced topics.

Spotlight Track: Technical Insights: The Art of the Pragmatic

Determining how to architect the right products and solutions to deliver against your business objectives is paramount to success. Based on Gartner for Technical Professionals research, this track provides actionable insights into best practices and methodologies.

Spotlight Track: Data Management — Data Everywhere for Every Use

Data has become the most important asset of an organization, and the management of data is now pervasive throughout the entire organization. This spotlight track highlights all the specific content about data management.

A look back at 2022's agenda

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A look back at 2022's agenda

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.

Monday, 09 May, 2022 / 09:30 AM - 10:15 AM BST

Gartner Opening Keynote: Unleash Innovation, Transform Uncertainty

Erick Brethenoux, Distinguished VP Analyst, Gartner

Alys Woodward, Sr Director Analyst, Gartner

Our organizations have gone through dramatic changes in the last two years. Data and analytics has simultaneously been a driver, enabler and response to these changes. Although it is tempting to think things will "return to normal", there will be no old or new normal. In a world of continuous uncertainty, we must use data and analytics innovation to deliver the outcomes our organizations require.

Monday, 09 May, 2022 / 11:00 AM - 11:30 AM BST

The Foundation of Organization and Roles: From Control to Collaborate

Jorgen Heizenberg, VP Analyst, Gartner

This session will highlight the optimal data and analytics organization model to help organizations become more data-driven balancing centralized and decentralized functions. It will also help you understand how to support digital business with the must-have roles and emerging skills for your D&A teams. Key issues: What’s happening in data and analytics forcing change? What’s the impact on the DA organization? What’s the impact on DA roles, skills and culture?

Monday, 09 May, 2022 / 02:30 PM - 03:00 PM BST

Data-Driven Foundations: Getting Started With Data Literacy and Data-Driven Business Transformation

Donna Medeiros, Sr Director Analyst, Gartner

The increasingly pervasive nature of data makes it crucial for all employees to learn to “speak data.” This foundational session will provide data and analytics leaders with the basis to start a data literacy program as a key enabler of data-driven business. How to champion data literacy awareness and craft a clear case for change? How to conduct data literacy pilots test the value proposition? How to partner with other executive stakeholders to align the data literacy program and collectively create a data-driven culture?

Monday, 09 May, 2022 / 02:30 PM - 04:00 PM BST

CDO Circle Leadership Exchange: The State of D&A in 2022 and Beyond

Mike Rollings, Distinguished VP Analyst, Gartner

Jitendra Subramanyam, VP, Team Manager, Gartner

Key insights from Gartner’s 7th Annual CDO Survey on the current state of the D&A function and where it’s headed. Benchmark your priorities, challenges and operating model with your peers. Learn about the key practices that separate good from great Data & Analytics organizations on their journey from data to digital and beyond.

Please Note: Based on availability and eligibility you may sign-up for the session via Conference Navigator after you register for this conference.

Tuesday, 10 May, 2022 / 10:00 AM - 10:45 AM BST

Roundtable: What Should Your D&A Organizational Model Look Like and What are the "Must-Have" Roles?

Jorgen Heizenberg, VP Analyst, Gartner

The optimal organizational model for data and analytics requires balancing centralized and decentralized functions as well as business and IT capabilities. In this roundtable, we will discuss how data and analytics leaders must take one of several possible approaches to create an organizational model that strikes the ideal balance.

Please Note: Based on availability and eligibility you may sign-up for the session via Conference Navigator after you register for this conference.

Tuesday, 10 May, 2022 / 01:45 PM - 02:15 PM BST

Leading a Data-driven Transformation Program

Mike Rollings, Distinguished VP Analyst, Gartner

Introducing Gartner's data-driven attribute model that guides the creation of your data-driven transformation program. Why is it critical to formalize your transformation program? What are the seven core attributes and twenty-two subattributes of a data-driven enterprise? How can you take initial steps to establish a transformation program?

Tuesday, 10 May, 2022 / 01:45 PM - 02:30 PM BST

CDO Circle Roundtable: How to Build Strong Relationships with Other C-Level Leaders

Saul Judah, VP Analyst, Gartner

CDOs need to have strong relationships with business executives. The difference between who you like working with and who you should be working with can make all the difference! Benchmark your approach with your peers in this interactive session.

Please Note: Based on availability and eligibility you may sign-up for the session via Conference Navigator after you register for this conference.

Tuesday, 10 May, 2022 / 01:45 PM - 03:15 PM BST

CDO Circle Leadership Exchange: Creative Solutions to the D&A Talent Crisis

Leinar Ramos, Sr Director, Advisory, Gartner

Jitendra Subramanyam, VP, Team Manager, Gartner

Looking in places no one else is, and looking for competencies no one else is looking for are two ways to address the Data & Analytics talent crisis. How well do these and other creative approaches work? A lively discussion amongst D&A leaders on creative techniques to recruit and retain talent.

Please Note: Based on availability and eligibility you may sign-up for the session via Conference Navigator after you register for this conference.

Tuesday, 10 May, 2022 / 03:15 PM - 03:45 PM BST

Scenario Planning: How D&A Leaders Can Provide Insight Into the Future

Frank Buytendijk, Distinguished VP Analyst, Gartner

There is one area in business there is no data about: The future. So, the future doesn't sound like an appropriate domain for D&A leaders — none of their toolbox works. Scenario planning is a powerful methodology that is being rediscovered for businesses to deal with extreme uncertainty, which is the situation you are probably in. D&A leaders should extend their toolkit with scenario planning to increase the strategic impact they have.

Tuesday, 10 May, 2022 / 03:15 PM - 04:00 PM BST

Roundtable: Unlock Digital Business Value With Data Literacy and Data-Driven Culture

Debra Logan, Distinguished VP Analyst, Gartner

Successful digital businesses require a data-literate workforce and data-driven culture. This roundtable will allow CDOs and other data and analytics leaders to exchange ideas and practices with their peers and colleagues. Discover and share how to act as a change agent who promotes the transformational impacts of data-driven culture and data literacy as enablers of measurable business outcomes.

Please Note: Based on availability and eligibility you may sign-up for the session via Conference Navigator after you register for this conference.

Wednesday, 11 May, 2022 / 09:00 AM - 09:45 AM BST

Roundtable: What Are the Implications of Diversity, Equity and Inclusion Programs for Data and Analytics Teams and Leaders?

Debra Logan, Distinguished VP Analyst, Gartner

Join CDOs and other data and analytics leaders to share lessons learned and practices for encouraging diversity, equity, and inclusion. Discuss how data and analytics teams can take a leadership role to enable DEI improvements on the team and enterprise levels.

Please Note: Based on availability and eligibility you may sign-up for the session via Conference Navigator after you register for this conference.

Wednesday, 11 May, 2022 / 10:45 AM - 12:15 PM BST

CDO Circle Leadership Exchange: Enhancing the Culture of Data-Driven Decision Making in Your Organization

Debra Logan, Distinguished VP Analyst, Gartner

Mike Rollings, Distinguished VP Analyst, Gartner

Jitendra Subramanyam, VP, Team Manager, Gartner

A showcase for select case studies from practitioners who have changed the culture of data-driven decision making. Followed by a discussion with your peers on practical techniques for improving the use of D&A in making business decisions.

Please Note: Based on availability and eligibility you may sign-up for the session via Conference Navigator after you register for this conference.

Wednesday, 11 May, 2022 / 01:30 PM - 03:00 PM BST

Workshop: How to Measure and Improve Data and Analytics Maturity

Gareth Herschel, VP Analyst, Gartner

Gartner's IT Score maturity model provides a framework for measuring and improving the maturity of data and analytics programs. This workshop will enable data and analytics leaders to better understand the components of Gartner's maturity model, how it provides benchmarks for maturity against other organizations, and how to get the most value out of the assessment based on lessons learned from other organizations.

Please Note: Based on availability and eligibility you may sign-up for the session via Conference Navigator after you register for this conference.

Wednesday, 11 May, 2022 / 03:00 PM - 03:30 PM BST

Selecting a D&A Service Provider — How to Choose the Right One for Your Organization

Jorgen Heizenberg, VP Analyst, Gartner

Your choice of consulting partner can make or break your data and analytics project. This session will provide practical guidance to help you make the best selection of service providers to maximize the chances of success.

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.

Monday, 09 May, 2022 / 12:30 PM - 01:00 PM BST

The Foundation of a Modern Data and Analytics Strategy

Mike Rollings, Distinguished VP Analyst, Gartner

“What should my data and analytics strategy look like” is one of the most common inquiries Gartner’s D&A research community gets. This is because the role of D&A is changing. From being a discipline of itself, to becoming a set of capabilities in support of the wider digital strategy or transformation. Best practices will be shared in the session.

Monday, 09 May, 2022 / 12:30 PM - 01:15 PM BST

Roundtable: Monetize Your Data Assets With Data-Driven Innovation

Alan D. Duncan, Distinguished VP Analyst, Gartner

Data monetization refers to the process of using data to obtain quantifiable economic benefit. This session will explain how CDOs must adopt a deliberate and systemic approach to discover and implement new monetization opportunities, if they are to introduce the data-driven innovation necessary for their organizations

Please Note: Based on availability and eligibility you may sign-up for the session via Conference Navigator after you register for this conference.

Monday, 09 May, 2022 / 02:30 PM - 04:00 PM BST

Workshop: How to Identify and Select Data and Analytics Consulting and System Integration Services That Match Your Needs

Jorgen Heizenberg, VP Analyst, Gartner

Finding external support for data and analytics initiatives is a critical yet complex process. In this workshop, we will explore how data and analytics leaders can get external support from system integrators and consultancies for their internal D&A initiatives, by focusing on the desired capabilities, existing deficits and constraints, rather than the service providers.

Please Note: Based on availability and eligibility you may sign-up for the session via Conference Navigator after you register for this conference.

Monday, 09 May, 2022 / 04:00 PM - 04:30 PM BST

The Future of Data and Analytics — Reengineering the Decision, 2025

Frank Buytendijk, Distinguished VP Analyst, Gartner

Decision making is a core capability for every organization, and it is becoming more complex. Decisions are becoming more connected, more contextual and more continuous. D&A leaders must prepare to reengineer decision making, and ultimately make business decision making a competitive differentiator.

Tuesday, 10 May, 2022 / 09:00 AM - 09:30 AM BST

The Foundation of an Effective Data and Analytics Operating Model

Donna Medeiros, Sr Director Analyst, Gartner

To be effective at implementing a modern D&A strategy, D&A leaders need to deploy an operating model to help drive effectiveness and efficiency through all their programs, projects and products. This session shares the best practices to create an effective D&A operating model, how to translate vision and strategy to practical objectives, and what capabilities you need to account for in your delivery model.

Tuesday, 10 May, 2022 / 09:00 AM - 10:30 AM BST

Workshop: How to Link Data to Outcomes

Andrew White, Distinguished VP Analyst, Gartner

This workshop introduces a new toolkit which can be used to diagnostically connect data, analytics, their governance, and their impact on business processes, decisions and their outcomes. Key issues include: How to link data to outcome with Gartner’s Business Value Pyramid. How to start demonstrating business value from data and analytics tomorrow?

Please Note: Based on availability and eligibility you may sign-up for the session via Conference Navigator after you register for this conference.

Tuesday, 10 May, 2022 / 09:30 AM - 10:15 AM BST

CDO Circle Roundtable: Constructing Compelling Data & Analytics Value Stories

Alan D. Duncan, Distinguished VP Analyst, Gartner

How do you shift the discussion from enablement to value-based delivery? In this session we will explore how you as a CDO and your peers are changing the value conversation inside your enterprise.

Please Note: Based on availability and eligibility you may sign-up for the session via Conference Navigator after you register for this conference.

Tuesday, 10 May, 2022 / 11:45 AM - 12:15 PM BST

How to Drive the Business Value of Data and Analytics

Alan D. Duncan, Distinguished VP Analyst, Gartner

Alignment of data and analytics with measurable business outcomes should be straightforward, right? Yet articulating, tracking and capturing business value remains a challenge. We know that “showing measurable value is hard.” But we also know that it can be done. This session will show how to build value stories, how to rank and prioritize initiatives and how to quantify value.

Tuesday, 10 May, 2022 / 01:45 PM - 02:15 PM BST

Keeping SCORE, Understanding Your D&A Maturity

Gareth Herschel, VP Analyst, Gartner

Gartner's self-assessment tool for data and analytics maturity has been taken by over 2,000 organizations. This session will look at some of the findings and provide best practices in how you can use the IT Score for data and analytics to improve your maturity. (This session will be helpful for organizations irrespective of whether they have already taken the assessment.)

Wednesday, 11 May, 2022 / 09:00 AM - 10:30 AM BST

Workshop: Creating an Effective Data and Analytics Strategy

Mike Rollings, Distinguished VP Analyst, Gartner

The potential for data-driven business strategies and information products is like never before, and for some enterprises, data and analytics have become a primary driver of their business. In this workshop, we will discuss a framework for creating a modern data and analytics strategy, key considerations and ways to start. Workshop outcome: Review and start developing key outcomes of a data and analytics strategy.

Please Note: Based on availability and eligibility you may sign-up for the session via Conference Navigator after you register for this conference.

Wednesday, 11 May, 2022 / 10:45 AM - 11:30 AM BST

CDO Circle Roundtable: D&A Operating Models: An Executive-Level Discussion

Donna Medeiros, Sr Director Analyst, Gartner

Bring your Data & Analytics operating model to stress test and improve it with your peers.

Please Note: Based on availability and eligibility you may sign-up for the session via Conference Navigator after you register for this conference.

Wednesday, 11 May, 2022 / 03:00 PM - 03:30 PM BST

How to Create Metrics That Matter

Kurt Schlegel, VP Analyst, Gartner

This presentation describes how data and analytic leaders can bolster their organization's performance measurement capabilities and shows how to communicate the business value that good metrics create. How can your organization move beyond descriptive metrics to become more diagnostic, predictive, and prescriptive? How can we use AI, Data Science, and IoT to create more precise and accurate systems of measurement?

Wednesday, 11 May, 2022 / 04:00 PM - 04:45 PM BST

Keynote: Gartner Global Scenarios: How Every D&A Leader Must Sense and Respond to Societal Change

Pieter den Hamer, Sr Director Analyst, Gartner

Frank Buytendijk, Distinguished VP Analyst, Gartner

Society is polarizing, people live in filter bubbles, and business is suffering as a result. The social fracture can be witnessed all around us. It might come as a surprise to D&A leaders how incredibly relevant this is to D&A as well. In this keynote, we'll explore four provocative scenarios on how society could turn, and what D&A leaders must do to adapt to this situation, and succeed in the process.

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.

Monday, 09 May, 2022 / 11:00 AM - 11:30 AM BST

The Foundations and Essentials of Master Data Management

Sally Parker, Sr Director Analyst, Gartner

This session explains the foundational concepts for the discipline of master data management. What is master data and why is it important? What are the business benefits? What are the discipline and technology components of a successful program and what are the future trends for MDM?

Monday, 09 May, 2022 / 11:00 AM - 11:45 AM BST

Ask the Expert: Effective Data and Analytics Governance: From Fundamentals to Adaptive Governance

Andrew White, Distinguished VP Analyst, Gartner

Data and analytics leaders often struggle with the basics and finding the right starting points for governance-focused activities. This interactive Q&A session will highlight key things to know and to do regarding scoping, roles and organizational approaches, metrics, policies, and the role of tools — the foundational pillars for a healthy data and analytics governance program.

Please Note: Based on availability and eligibility you may sign-up for the session via Conference Navigator after you register for this conference.

Monday, 09 May, 2022 / 02:30 PM - 03:00 PM BST

Data and Analytics Governance: Foundations & Prospects

Saul Judah, VP Analyst, Gartner

Traditional data and analytics governance that focuses only on policy, compliance and enforcement, is now obsolete for digital business. Adaptive governance practices that are contextual and elastic are urgently needed for successful digital business initiatives. This session discusses why current practices are now inadequate and how adaptive governance practices can be adopted to enable better outcomes.

Monday, 09 May, 2022 / 02:30 PM - 03:15 PM BST

CDO Circle Roundtable: How CDOs are Enabling Effective Data Sharing Practices

Leinar Ramos, Sr Director, Advisory, Gartner

A conversation about practical steps CDOs are taking to build a thriving market for sharing and monetizing data across organizational silos.

Please Note: Based on availability and eligibility you may sign-up for the session via Conference Navigator after you register for this conference.

Monday, 09 May, 2022 / 02:30 PM - 03:15 PM BST

Ask the Expert: How Can You Go Beyond Data Cleansing for Your Data Quality Initiatives?

Jason Medd, Director Analyst, Gartner

This Ask the Expert session is to discuss what else we can do to improve data quality? Data quality is often treated as an after-thought inconvenience. Typically, organizations focus primarily on data cleansing, which may be too late. In this session, we will discuss more preventative approaches and practices to ensure data quality.

Please Note: Based on availability and eligibility you may sign-up for the session via Conference Navigator after you register for this conference.

Monday, 09 May, 2022 / 04:00 PM - 04:30 PM BST

Metadata Is the Key to Self-Learning, Augmented Data Governance

Guido De Simoni, Sr Director Analyst, Gartner

Data governance must evolve from a concept of restriction, monitoring and resolution into a self-learning model that detects benefits and identifies risks. By balancing the design expectations of how systems should work with the actual experiences, a metadata analysis component educates and enables governance.

Tuesday, 10 May, 2022 / 09:00 AM - 10:30 AM BST

CDO Circle Research Discussion: Data & Analytics Governance for Humans

Jitendra Subramanyam, VP, Team Manager, Gartner

Leinar Ramos, Sr Director, Advisory, Gartner

Data & Analytics governance is not new. Yet it continues to dominate our time and sap our energy. At its core, successful governance requires making humans (our business partners) do something they are not currently doing. Using case studies from Royal Bank and Canada and Exact Sciences, this session showcases practical approaches to change the way humans behave to successfully govern D&A.

Please Note: Based on availability and eligibility you may sign-up for the session via Conference Navigator after you register for this conference.

Tuesday, 10 May, 2022 / 11:45 AM - 12:15 PM BST

Built for Speed — How to Bootstrap an MDM Initiative

Helen Grimster, Sr Principal Analyst, Gartner

Successful MDM requires a best practices approach across people, processes and technology. Due to constraints beyond their control, Data and Analytics leaders are often forced to forego conventional best practices to solve MDM challenges as quickly and cheaply as possible. This presentation shows how data and analytics leaders can take an ultra-lean approach to provide value through MDM insights.

Tuesday, 10 May, 2022 / 11:45 AM - 12:30 PM BST

Ask the Expert: Frame the Metadata-Driven Opportunity in Your Organization

Guido De Simoni, Sr Director Analyst, Gartner

Metadata fuels data-driven organizations by providing visibility and context around data and its characteristics, such as location and use. To become more data-driven, data and analytics leaders must engage with the business to build on the metadata opportunity. Have an effective Q&A session on this relevant topic.

Please Note: Based on availability and eligibility you may sign-up for the session via Conference Navigator after you register for this conference.

Tuesday, 10 May, 2022 / 01:45 PM - 03:15 PM BST

Workshop: How to Measure and Improve Data Quality?

Jason Medd, Director Analyst, Gartner

This workshop walks through practical steps of measuring and improving data quality. Attendees will understand the key objectives and activities of measuring data quality including how to define and select data quality metrics, develop the actual measurement jobs, and identify the benchmark. The workshop will also discuss possible solutions for the data quality problems.

Please Note: Based on availability and eligibility you may sign-up for the session via Conference Navigator after you register for this conference.

Wednesday, 11 May, 2022 / 09:00 AM - 09:30 AM BST

Connected Governance Needs a Data and Analytics Governance Platform

Saul Judah, VP Analyst, Gartner

Connected governance can help organizations address difficult cross-enterprise, interenterprise, and multigeographic governance challenges. However, it requires a data and analytics governance platform to operationalize it. This session explains what connected governance is and how data and analytics governance platform capabilities can enable it.

Wednesday, 11 May, 2022 / 10:45 AM - 11:15 AM BST

12 Quick Actions to Improve Your Data Quality

Jason Medd, Director Analyst, Gartner

High-quality, trusted data is critical for successful digital business initiatives. If data and analytics leaders are to enable a data-driven organization, they must take pragmatic and targeted actions to improve their enterprise data quality. There are 12 quick actions which help organizations achieve their data quality goals.

Wednesday, 11 May, 2022 / 02:15 PM - 02:45 PM BST

Digital Ethics: Where Are You Now and What Will Be Next?

Frank Buytendijk, Distinguished VP Analyst, Gartner

Digital ethics has become a mainstream topic at the top of the Hype Cycle. The main question has moved from “what should we do” to “how are we doing”. Learn through many real-world examples about how to self-assess your maturity in digital ethics. And if this is a new topic for you, learn what will be on your path. We'll also discuss what will be next in digital ethics, in terms of cloud, blockchain and augmented/virtual reality.

Wednesday, 11 May, 2022 / 03:00 PM - 03:30 PM BST

Trusted Data Sharing for Optimal Business Value — Top Best Practices to Get It Right

Alan D. Duncan, Distinguished VP Analyst, Gartner

Sharing data is a must for revenue growth, cost optimization, improved risk mitigation and accelerating digital business. The session focuses on the business imperative of data sharing, so less about tools and technology and more about global strategic best practices, helping D&A leaders modernize and align data sharing with stakeholder priorities, enterprise goals and organization benefit.

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.

Monday, 09 May, 2022 / 11:00 AM - 11:30 AM BST

Scaling Analytics for Everyone Through Automation

Rita Sallam, Distinguished VP Analyst, Gartner

D&A leaders are experiencing the decline of the dashboard as automated insights, data stories and natural language generation drive a majority to adopted augmented analytics as consumers. Learn the capabilities that enable organization to augment and automate their analytics workflow. Discover how to scale up to increase the reach, transmission speed and comprehension of data-driven decisions.

Monday, 09 May, 2022 / 04:00 PM - 04:30 PM BST

Data Storytelling: A Better Way to Engage Decision Makers With Data

Kurt Schlegel, VP Analyst, Gartner

Data storytelling offers a more engaging means of communicating findings than ML algorithms or data visualization alone. This trend is an extension of the now dominant self-service model of BI, combining data visualization with narrative techniques. What is a data story? When and how should data storytelling be used? What new skills and techniques are needed to create compelling data stories?

Tuesday, 10 May, 2022 / 09:00 AM - 10:30 AM BST

Bake-Off: Analytics and BI

Rita Sallam, Distinguished VP Analyst, Gartner

Modernize your analytics and BI capabilities by selecting the products that best meet your needs. See side-by-side, scripted demonstrations of four leading vendors. What are the key features to consider and how do they compare in action? How can you improve your own evaluation process and internal proofs of concept? What are the main strengths and weaknesses of these vendors?

Tuesday, 10 May, 2022 / 11:45 AM - 12:15 PM BST

Use Composable Data and Analytics to Build Modular Business-Oriented Analytics Experiences

Carlie Idoine, VP Analyst, Gartner

Analytics capabilities become modular with low- and no-code capability introduced into solutions enabled by data fabric. Organizations can compose the building blocks to build tailored analytics experiences rather than monolithic applications. This session will help data and analytics leaders use composable data and analytics to bridge with application development, bringing insights into actions.

Tuesday, 10 May, 2022 / 03:15 PM - 03:45 PM BST

How to Govern Self-Service Analytics

Georgia O'Callaghan, Sr Principal Analyst, Gartner

Self-service analytics empowers employees across your organization to leverage data for insights. But unchecked proliferation of data and analytics increases security risk, creates analytical silos and leads to inconsistent findings across reports, negatively impacting business decision making. This session dives into implementing self-service governance in common analytical tools.

Wednesday, 11 May, 2022 / 10:45 AM - 11:30 AM BST

Ask the Expert: Decision Intelligence, Decision Thinking and Decision Models

Pieter den Hamer, Sr Director Analyst, Gartner

Decision thinking improves the way BI, analytics and AI are used in business decision-making. This interactive session will discuss attendee questions on trends, industry standards and best practices.
How do data and analytics teams support different kinds of business decisions?
Which vendors are delivering innovative decision intelligence tools?
Are business rule engines obsolete?

Please Note: Based on availability and eligibility you may sign-up for the session via Conference Navigator after you register for this conference.

Wednesday, 11 May, 2022 / 01:30 PM - 02:00 PM BST

Rethink Self-Service: Establish Analytic Franchises to Drive Adoption, Break Bottlenecks and Maximize Value

Kurt Schlegel, VP Analyst, Gartner

Data and analytics leaders can use the concept of a “franchise” as a metaphor to communicate the optimal self-service strategyl. Analytic franchises can improve the collaboration and shared best practices required across a large enterprise.

Developing and operationalizing data science and machine learning (ML) can be daunting. This track is dedicated to exploring the strategies, tools, skills and talent needed for successful deployment.

Monday, 09 May, 2022 / 11:00 AM - 11:30 AM BST

The Foundation of Data Science and Machine Learning: Delivering Value in the Age of AI

Afraz Jaffri, Director Analyst, Gartner

This session will provide a high-level introduction to data science and machine learning (ML) and their proper function in a data-driven organization. It will include key definitions, major trends, data science talent personas and an overview of leading technologies. How do data science and ML fit within both the organization’s analytics and AI strategies? What are the early steps D&A leaders should take to invest in data science and ML? What do successful data science and ML initiatives look like?

Monday, 09 May, 2022 / 02:30 PM - 03:00 PM BST

Technical Insights: Develop Your MLOps Playbook to Accelerate Machine Learning Deployment

Georgia O'Callaghan, Sr Principal Analyst, Gartner

It is possible to manage 10 ML models manually. It may be possible to manage 100 models through scripts and alerts. But, managing 1000+ models requires an entirely different approach. The MLOps playbook provides a cohesive approach to bring together the three key elements toward a successful implementation.

Monday, 09 May, 2022 / 04:00 PM - 04:30 PM BST

Technical Insights: Struggling With Establishing Trust in AI? Reduce Model Bias and Incorporate Explainable AI

Sumit Agarwal, Sr Director Analyst, Gartner

The use of predictive models creates trust challenges for enterprises. Model bias and lack of transparency are primary challenges for the trust gap. This session will demystify the approaches to mitigate bias and making the models explainable leveraging organizational people, improved processes and platform enhancements.

Tuesday, 10 May, 2022 / 11:45 AM - 12:15 PM BST

Technical Insights: Leveraging Agile Best Practices to Build a Collaborative Data Science Practice

Soyeb Barot, VP Analyst, Gartner

Data science teams fail to adopt agile methods and struggle to deliver the AI-based systems required in an innovative and dynamic environment. Delivering data science solutions iteratively and incrementally requires the data engineers, data scientists, and ML engineers to work closely and fully understand their roles and responsibilities as part of operationalizing the platform.

Tuesday, 10 May, 2022 / 01:45 PM - 02:15 PM BST

Technical Insights: Embed Data Privacy Within Data Science Solutions Using Synthetic Data and Other Techniques

Sumit Agarwal, Sr Director Analyst, Gartner

Organizations are often concerned with sharing of sensitive data internally (and definitely externally). The existing data privacy techniques, however, are counter-productive to the data science effort. Emerging techniques such as synthetic data, differential privacy and federated learning provide a best-of-both-worlds approach. This session provides in-depth insights into these techniques.

Wednesday, 11 May, 2022 / 09:00 AM - 09:30 AM BST

Maximize Value by Extending to Predictive and Prescriptive Analytics

Afraz Jaffri, Director Analyst, Gartner

This presentation provides practical advice on how to extend from traditional descriptive and diagnostic analytics to include predictive and prescriptive approaches. The session defines how to take the next steps to leverage the analytics solutions you might already have and provides examples of real case studies that demonstrate the approach.

Wednesday, 11 May, 2022 / 01:30 PM - 03:00 PM BST

Bake-Off: Data Science and Machine Learning

Carlie Idoine, VP Analyst, Gartner

The bake-offs are fast-paced, informative sessions that let you see vendors side-by-side using scripted demos and a common data set in a controlled setting.

To realize its great potential, AI must go beyond experimentation and prototyping. This track addresses value opportunities, operating models, roles and skills, technology trends and best practices to turn AI’s promise into a reality.

Monday, 09 May, 2022 / 11:00 AM - 12:30 PM BST

Workshop: How to Select the Right Design and Technologies to Derisk AI

Sumit Agarwal, Sr Director Analyst, Gartner

Georgia O'Callaghan, Sr Principal Analyst, Gartner

AI is increasingly affecting a wide range of risk types, including model, compliance, operational, legal, reputational and regulatory risks. Reports of AI models gone awry due to the disruptions like the COVID-19 crisis have only served as a reminder that using AI can create significant risks. Many of the risks introduced by AI are new and unfamiliar in industries without a history of widespread analytics use and established model management. In this introductory-level workshop, attendees will collaborate to understand design and technology choices to rerisk AI, and leave the session with practical guidance on how to help their organizations succeed with AI.

Please Note: Based on availability and eligibility you may sign-up for the session via Conference Navigator after you register for this conference.

Monday, 09 May, 2022 / 12:30 PM - 01:00 PM BST

Synthetic Data: Why, When and How to Use It

Alys Woodward, Sr Director Analyst, Gartner

This session will describe the synthetic data space, particularly the rapidly evolving uses of synthetic data for AI, the options available, when and when not to use it, and best practices based on a broad set of organization interviews.

Monday, 09 May, 2022 / 04:00 PM - 04:45 PM BST

Ask the Expert: How to Operationalize AI and ML Projects — Key Considerations, Best Practices and Lessons Learned

Erick Brethenoux, Distinguished VP Analyst, Gartner

Organizations often struggle with operationalizing ML and AI projects. In this session, we'll focus on the key considerations for operationalization, best practices from around the world and lessons learned from some case studies.

Please Note: Based on availability and eligibility you may sign-up for the session via Conference Navigator after you register for this conference.

Tuesday, 10 May, 2022 / 03:15 PM - 03:45 PM BST

Use AI Maturity Model to Do the Right Things at the Right Time

Svetlana Sicular, VP Analyst, Gartner

How can organizations identify their own AI maturity level, find the next best actions and avoid common mistakes? Use Gartner AI maturity model to accelerate and optimize your AI strategy and implementations to achieve the best value, reduce risk and get to scalability quicker in AI programs. Learn how advancing the AI maturity is beneficial not just for the AI teams but also to the business.

Wednesday, 11 May, 2022 / 09:00 AM - 09:30 AM BST

Technical Insights: AI Engineering — Moving the AI Needle to the Next Level

Soyeb Barot, VP Analyst, Gartner

AI must be applied effectively and widely to create significant value. It requires business engagement, best ML and AI practices alongside innovation, scaling and accelerating automation and operationalization practices. AI engineering helps bring in operational efficiency and economies of scale by ensuring reliability, reproducibility, and reusability toward building an augmented digital workspace.

Wednesday, 11 May, 2022 / 10:45 AM - 11:15 AM BST

Bring It All Together — NLT, Computer Vision and More to Create Emotional Virtual Beings!

Erick Brethenoux, Distinguished VP Analyst, Gartner

This session explores cutting edge use cases in terms of emotion AI, multiexperience and psychographic analysis to gain novel insights from unstructured data. Technology advances enable new use cases, such as “emotional virtual beings,” empathic chatbots and facial microexpressions. Discussing the various underlying technologies, we will highlight unique challenges of computer vision technology.

Wednesday, 11 May, 2022 / 10:45 AM - 11:15 AM BST

How to Find Winning AI Use Cases

Svetlana Sicular, VP Analyst, Gartner

AI use case prioritization is still a daunting task involving multiple skills and storytelling craft. We show how the use-case prism helped in prioritizing over 200 AI use cases for over 24 different vertical and horizontal domains.

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.

Monday, 09 May, 2022 / 11:00 AM - 11:30 AM BST

The Foundation of Data and Analytics Is Cloud!

Adam Ronthal, VP Analyst, Gartner

The new data and analytics platform is the cloud. In this session, we will explore the state of the data and analytics platform (data management, BI/analytics/data science, data and analytics governance), the transition to cloud and its implications, and what it means to operate successfully in the cloud, or more likely, in multiple clouds.

Monday, 09 May, 2022 / 12:30 PM - 01:00 PM BST

Data Lakes, Data Warehouses and Data Hubs Aren't the Same: Know Their Capabilities and Purpose

Ted Friedman, Distinguished VP Analyst, Gartner

Philip Russom, Director Analyst, Gartner

Confusion persists regarding the role of data warehouses, data lakes and data hubs -- as well as emerging terms like “lakehouse.” They are not the same. While the names and terminology are less important than the principles and capabilities, D&A leaders need to know the capabilities and the value they provide.
• What are data warehouses, data lakes and data hubs?
• What are the key differences between these concepts?
• How can they be used in combination to meet modern data and analytics needs?

Monday, 09 May, 2022 / 02:30 PM - 03:00 PM BST

The Future of Data Management is Always Active, Always On, and In the Cloud

Adam Ronthal, VP Analyst, Gartner

Data management to support analytics or operations has always had a significantly manual approach. Now, analytics and millions of sensors, devices and systems collecting data from operations are demanding even more data preparation, validation, assurance and trust. We explain how augmented data management is becoming real and what to expect in the next 3-5 years.

Monday, 09 May, 2022 / 04:00 PM - 04:30 PM BST

How to Design a Data Fabric for Augmented Data Management and Integration

Ehtisham Zaidi, VP Analyst, Gartner

The data fabric is an emerging data management design to enable flexible and automated data access, integration and sharing. However, most organizations struggle with foundational questions regarding the data fabric:
1. What is the definition of a data fabric and how does it differ from the data mesh?
2. What are the key steps in designing a data fabric?
3. Can we buy the data fabric as a platform or should we build it?
This session will aim at answering for D&A leaders.

Tuesday, 10 May, 2022 / 09:00 AM - 09:30 AM BST

Technical Insights: Database Migration to the Cloud or Elsewhere — the Good, the Bad and the Ugly

Henry Cook, Sr Director Analyst, Gartner

Database migration remains a nontrivial thing to do. However, sometimes they are necessary in order to refresh your IT estate and gain additional benefits. The move to the cloud has triggered a wave of database migrations. Migration products are liable to overrun or fail and it is essential to take a best practice approach to ensure success. This session tells you how.

Tuesday, 10 May, 2022 / 10:00 AM - 10:45 AM BST

Ask the Expert: Choosing the Right DBMS for Your Project

Adam Ronthal, VP Analyst, Gartner

There are literally hundreds of choices for a DBMS — Relational, nonrelational, open source, multimodel, dbPaaS. The confusion in the market grows daily about how to choose a DBMS, what is available, should I use open source and how to decide between relational and nonrelational. We will answer your questions on these topics and best practices for making a DBMS decision.

Please Note: Based on availability and eligibility you may sign-up for the session via Conference Navigator after you register for this conference.

Tuesday, 10 May, 2022 / 11:45 AM - 12:15 PM BST

What to Do With Your D&A Platforms? Leverage Data and Analytics Ecosystems for Adaptability, Speed and Lower Cost

Rita Sallam, Distinguished VP Analyst, Gartner

Data and analytics platforms are emerging everywhere from data management to data science and now D&A governance. But greater forces, namely cloud, will force those platforms to converge further into seamlessly integrated data and application workflows. In this session, you will learn how the world of D&A collides with this market dynamic and how the result will help you scale digital business and drive business impact.

Tuesday, 10 May, 2022 / 03:15 PM - 03:45 PM BST

Driving Analytics Success With DataOps Enriched Data Engineering Practices

Robert Thanaraj, Director Analyst, Gartner

Analytics relies on successful data foundation; it must be backed with right data and processes. Data engineering is the discipline of translating data into usable forms. Specifically, this session covers:
1. Data Engineering, DataOps, Data Engineer: The Basics
2. Three Emerging Best Practices You Must Investigate
3. How To Formalize and Scale Data Engineering Practice

Wednesday, 11 May, 2022 / 09:00 AM - 09:30 AM BST

Avoid Data Lake Failures by Addressing Modern Lake Requirements

Philip Russom, Director Analyst, Gartner

Most data lake failures result from underestimating project resources or omitting required technologies. Organizations underestimate skills, time, data volumes, design requirements, governance, and adjusting their traditional experience to the new paradigm of the data lake. This presentation discusses the many requirements of the modern, multi-use data lake, so organizations can avoid failures.

Wednesday, 11 May, 2022 / 09:00 AM - 09:45 AM BST

Roundtable: Adopt Data Virtualization for Improving the Flexibility and Agility of Your Data and Analytics Use Cases

Henry Cook, Sr Director Analyst, Gartner

Data virtualization continues to be a much sought after data integration style by organizations looking to impart some much needed agility and flexibility in their data management infrastructure.
1. What are the most appropriate use cases for data virtualization
2. What are some of the cautions and best practices to successfully adopt data virtualization
3. What are the most mature tools in this market.

Please Note: Based on availability and eligibility you may sign-up for the session via Conference Navigator after you register for this conference.

Wednesday, 11 May, 2022 / 10:45 AM - 11:15 AM BST

Database Management Systems — Accelerate to the Cloud

Adam Ronthal, VP Analyst, Gartner

The database management market is undergoing a rapid transition. Cloud and dbPaaS have become the platform of choice and pricing models are under pressure from both the open-source and the cloud.
- What is driving the data infrastructure transformation to new technologies?
- How are existing technologies changing and what new technologies are emerging to support this transformation?
- How are vendors addressing the shift to the cloud and how will the market evolve?

Wednesday, 11 May, 2022 / 01:30 PM - 02:00 PM BST

Utilize Self-Service Data Preparation to Augment Rising Data Engineering Challenges

Ehtisham Zaidi, VP Analyst, Gartner

Data preparation has matured rapidly from being focused on self-service analytics to now becoming an integral component and a critical capability in all enterprise data and analytics tools. Key topics:
-What is augmented data preparation and how has it evolved?
-What is the current state of the market and how will it evolve?
-How can you leverage data preparation capabilities ensuring governance and control?

Wednesday, 11 May, 2022 / 02:15 PM - 02:45 PM BST

Maximize Business Outcome By Adopting Modern Data Catalog with AI-enabled Metadata Capabilities

Guido De Simoni, Sr Director Analyst, Gartner

Demand for data catalogs is soaring as organizations continue to struggle with finding, inventorying and analyzing vastly distributed and diverse data assets. D&A leaders must investigate and adopt modern data catalogs with AI-enabled metadata as part of their overall data management solutions strategy. This session addresses how to leverage modern data catalogs as a first step in enabling new data management for maximum business outcome.

Wednesday, 11 May, 2022 / 03:00 PM - 03:30 PM BST

Technical Insights: Deploying Data and Analytics Architecture in AWS, Azure and GCP Cloud Platforms

Henry Cook, Sr Director Analyst, Gartner

Cloud platforms provide unique challenges and opportunities to design and architect an optimal Data and Analytics architecture resolving through complex data management and analytics use cases such as logical data warehouse, serverless and streaming technologies, analytics and data science tools. This session provides detailed insights into the various components of AWS, Azure and GCP to create reference architectures for deploying an integrated and cohesive data and analytics ecosystem that includes native, hybrid and multicloud use-case scenarios.

Wednesday, 11 May, 2022 / 03:00 PM - 03:45 PM BST

Ask the Expert: Choosing the Right Data Integration Tool for Your Data and Analytics Projects

Ehtisham Zaidi, VP Analyst, Gartner

There are literally hundreds of choices for a data integration tool — ETL/ELT, streaming integration, data virtualization, API integration, change data capture for data replication, message-oriented middleware — among several other. The confusion in the market grows daily about how to evaluate and select the right data integration tool, what is available, should companies use open source and how to decide between the various choices. We will answer your questions on these topics and best practices for making a data integration selection decision.

Please Note: Based on availability and eligibility you may sign-up for the session via Conference Navigator after you register for this conference.

Wednesday, 11 May, 2022 / 03:00 PM - 03:45 PM BST

Ask the Expert: What Is DataOps, What Value Does It Create, and Do You Need to Adopt It?

Robert Thanaraj, Director Analyst, Gartner

Data and analytics leaders are seeking ways to more effectively, rapidly and reliably deliver data pipelines in support of business requirements. The traditional ways of working can't provide the levels of flexibility and collaboration required today. DataOps approaches hold the promise of addressing these challenges. This interactive Q&A session will help provide a basic understanding of the concepts and value of DataOps.

Please Note: Based on availability and eligibility you may sign-up for the session via Conference Navigator after you register for this conference.

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.

Monday, 09 May, 2022 / 12:30 PM - 01:00 PM BST

Seven Future AI Scenarios

Pieter den Hamer, Sr Director Analyst, Gartner

Artificial Intelligence is only just beginning. Given all the innovations taking place — from composite AI to neuromorphic hardware — and concerns about the responsible use of AI, how will AI continue to impact your organization and society? In this presentation we will discuss seven future AI scenarios, providing insights about what to focus on in the short term and what to realistically expect in the long term.

Monday, 09 May, 2022 / 02:30 PM - 03:00 PM BST

Top Trends in Data and Analytics for 2022

Carlie Idoine, VP Analyst, Gartner

Ted Friedman, Distinguished VP Analyst, Gartner

AI is not the only thing driving rapid change in data and analytics. From the next generation of augmented user experiences and beyond, composing and operationalizing data and analytics at scale, engineering decision intelligence, and relating everything, to enabling data and analytics at the edge, there is a rapid evolution in how and where analysis can be deployed. Understanding the business impact of these changes will allow organizations to resource optimize, accelerate change, drive innovation and transform society over the next three years.

Tuesday, 10 May, 2022 / 09:00 AM - 09:45 AM BST

Ask the Expert: Everything You Wanted to Know About the Data Fabric but Were Afraid to Ask!

Ehtisham Zaidi, VP Analyst, Gartner

In this analyst/user discussion, we'll be talking all things Data Fabric. Data and analytics leaders should bring their questions and topics for exploration including how to get started, what are the best practices, and more. *Access to this session is restricted to those that are not part of an organization/company that provides services, products or solutions to professionals in the industry.

Please Note: Based on availability and eligibility you may sign-up for the session via Conference Navigator after you register for this conference.

Tuesday, 10 May, 2022 / 10:00 AM - 10:30 AM BST

AI and Climate Change: The Challenge, the Complexity and the Criticality

Pieter den Hamer, Sr Director Analyst, Gartner

AI holds great promise in the fight against global warming. Recent advances in AI open the door to new approaches for logistics optimization at the ecosystem scale, reducing energy consumption and waste in manufacturing, inventing sustainable materials and many other innovations. Although no miracle cure exists, both society and companies cannot permit themselves to ignore the incredible potential power of AI to face the most complex and most pressing issue of our time.

Tuesday, 10 May, 2022 / 10:00 AM - 10:30 AM BST

Relating Data Fabric Fundamentals to the Business Drivers

Robert Thanaraj, Director Analyst, Gartner

Data fabrics are generally discussed regarding the technical benefits, efficiency, even elegance at times. We cover those design fundamentals, but we also answer the question--what does the business get out of it? We explain how data fabric implementations evolve slowly and how to align it with measured business benefits that can signal to continue or slow down.

Tuesday, 10 May, 2022 / 01:45 PM - 02:15 PM BST

Raise Your AI Game With Graph Analytics and Machine Learning

Afraz Jaffri, Director Analyst, Gartner

Top tech companies have utilized the power of graphs to power everything from fraud detection systems to recommendation engines and are now finding their way into use cases across industries. This session will introduce the concept of graph analytics and the algorithms used for finding hidden insights in your data that enhance decision making by making context king.

Tuesday, 10 May, 2022 / 01:45 PM - 02:15 PM BST

Decision Intelligence and Optimization Across Your Enterprise and Ecosystem

Pieter den Hamer, Sr Director Analyst, Gartner

Competitive decision-making in the digital age must be contextual, continuous and connected. Silo data, silo decisions and silo mentality are not cutting it in today's global and highly interconnected business ecosystems. But how to overcome these and other hurdles? Which capabilities are needed? How do AI, decision modeling, real-time analytics, data fabrics and optimization come together in decision intelligence, the next big thing in data & analytics?

Wednesday, 11 May, 2022 / 01:30 PM - 02:00 PM BST

Edge, Internet of Things and Streaming Data: What to Know and How to Prepare

Ted Friedman, Distinguished VP Analyst, Gartner

Edge and IoT hold massive promise for innovation through new business models that monetize data and analytic insight. While it’s a huge opportunity for CDOs and their teams, it also puts pressure on existing capabilities due to massive data volumes, fast-moving event streams, new governance challenges and digital twins. Key points: How do edge and the IoT create new opportunities and challenges? What must D&A leaders do to drive adaptation? Which new capabilities will be critical to success?

Monday, 09 May, 2022 / 11:00 AM - 11:30 AM BST

The Foundations and Essentials of Master Data Management

Sally Parker, Sr Director Analyst, Gartner

This session explains the foundational concepts for the discipline of master data management. What is master data and why is it important? What are the business benefits? What are the discipline and technology components of a successful program and what are the future trends for MDM?

Tuesday, 10 May, 2022 / 11:45 AM - 12:15 PM BST

Built for Speed — How to Bootstrap an MDM Initiative

Helen Grimster, Sr Principal Analyst, Gartner

Successful MDM requires a best practices approach across people, processes and technology. Due to constraints beyond their control, Data and Analytics leaders are often forced to forego conventional best practices to solve MDM challenges as quickly and cheaply as possible. This presentation shows how data and analytics leaders can take an ultra-lean approach to provide value through MDM insights.

Monday, 09 May, 2022 / 02:30 PM - 03:00 PM BST

Technical Insights: Develop Your MLOps Playbook to Accelerate Machine Learning Deployment

Georgia O'Callaghan, Sr Principal Analyst, Gartner

It is possible to manage 10 ML models manually. It may be possible to manage 100 models through scripts and alerts. But, managing 1000+ models requires an entirely different approach. The MLOps playbook provides a cohesive approach to bring together the three key elements toward a successful implementation.

Monday, 09 May, 2022 / 04:00 PM - 04:30 PM BST

Technical Insights: Struggling With Establishing Trust in AI? Reduce Model Bias and Incorporate Explainable AI

Sumit Agarwal, Sr Director Analyst, Gartner

The use of predictive models creates trust challenges for enterprises. Model bias and lack of transparency are primary challenges for the trust gap. This session will demystify the approaches to mitigate bias and making the models explainable leveraging organizational people, improved processes and platform enhancements.

Tuesday, 10 May, 2022 / 09:00 AM - 09:30 AM BST

Technical Insights: Database Migration to the Cloud or Elsewhere — the Good, the Bad and the Ugly

Henry Cook, Sr Director Analyst, Gartner

Database migration remains a nontrivial thing to do. However, sometimes they are necessary in order to refresh your IT estate and gain additional benefits. The move to the cloud has triggered a wave of database migrations. Migration products are liable to overrun or fail and it is essential to take a best practice approach to ensure success. This session tells you how.

Tuesday, 10 May, 2022 / 11:45 AM - 12:15 PM BST

Technical Insights: Leveraging Agile Best Practices to Build a Collaborative Data Science Practice

Soyeb Barot, VP Analyst, Gartner

Data science teams fail to adopt agile methods and struggle to deliver the AI-based systems required in an innovative and dynamic environment. Delivering data science solutions iteratively and incrementally requires the data engineers, data scientists, and ML engineers to work closely and fully understand their roles and responsibilities as part of operationalizing the platform.

Tuesday, 10 May, 2022 / 01:45 PM - 02:15 PM BST

Technical Insights: Embed Data Privacy Within Data Science Solutions Using Synthetic Data and Other Techniques

Sumit Agarwal, Sr Director Analyst, Gartner

Organizations are often concerned with sharing of sensitive data internally (and definitely externally). The existing data privacy techniques, however, are counter-productive to the data science effort. Emerging techniques such as synthetic data, differential privacy and federated learning provide a best-of-both-worlds approach. This session provides in-depth insights into these techniques.

Wednesday, 11 May, 2022 / 09:00 AM - 09:30 AM BST

Technical Insights: AI Engineering — Moving the AI Needle to the Next Level

Soyeb Barot, VP Analyst, Gartner

AI must be applied effectively and widely to create significant value. It requires business engagement, best ML and AI practices alongside innovation, scaling and accelerating automation and operationalization practices. AI engineering helps bring in operational efficiency and economies of scale by ensuring reliability, reproducibility, and reusability toward building an augmented digital workspace.

Wednesday, 11 May, 2022 / 03:00 PM - 03:30 PM BST

Technical Insights: Deploying Data and Analytics Architecture in AWS, Azure and GCP Cloud Platforms

Henry Cook, Sr Director Analyst, Gartner

Cloud platforms provide unique challenges and opportunities to design and architect an optimal Data and Analytics architecture resolving through complex data management and analytics use cases such as logical data warehouse, serverless and streaming technologies, analytics and data science tools. This session provides detailed insights into the various components of AWS, Azure and GCP to create reference architectures for deploying an integrated and cohesive data and analytics ecosystem that includes native, hybrid and multicloud use-case scenarios.

Monday, 09 May, 2022 / 12:30 PM - 01:00 PM BST

Data Lakes, Data Warehouses and Data Hubs Aren't the Same: Know Their Capabilities and Purpose

Ted Friedman, Distinguished VP Analyst, Gartner

Philip Russom, Director Analyst, Gartner

Confusion persists regarding the role of data warehouses, data lakes and data hubs -- as well as emerging terms like “lakehouse.” They are not the same. While the names and terminology are less important than the principles and capabilities, D&A leaders need to know the capabilities and the value they provide.
• What are data warehouses, data lakes and data hubs?
• What are the key differences between these concepts?
• How can they be used in combination to meet modern data and analytics needs?

Monday, 09 May, 2022 / 02:30 PM - 03:00 PM BST

The Future of Data Management is Always Active, Always On, and In the Cloud

Adam Ronthal, VP Analyst, Gartner

Data management to support analytics or operations has always had a significantly manual approach. Now, analytics and millions of sensors, devices and systems collecting data from operations are demanding even more data preparation, validation, assurance and trust. We explain how augmented data management is becoming real and what to expect in the next 3-5 years.

Monday, 09 May, 2022 / 04:00 PM - 04:30 PM BST

How to Design a Data Fabric for Augmented Data Management and Integration

Ehtisham Zaidi, VP Analyst, Gartner

The data fabric is an emerging data management design to enable flexible and automated data access, integration and sharing. However, most organizations struggle with foundational questions regarding the data fabric:
1. What is the definition of a data fabric and how does it differ from the data mesh?
2. What are the key steps in designing a data fabric?
3. Can we buy the data fabric as a platform or should we build it?
This session will aim at answering for D&A leaders.

Tuesday, 10 May, 2022 / 09:00 AM - 09:45 AM BST

Ask the Expert: Everything You Wanted to Know About the Data Fabric but Were Afraid to Ask!

Ehtisham Zaidi, VP Analyst, Gartner

In this analyst/user discussion, we'll be talking all things Data Fabric. Data and analytics leaders should bring their questions and topics for exploration including how to get started, what are the best practices, and more. *Access to this session is restricted to those that are not part of an organization/company that provides services, products or solutions to professionals in the industry.

Please Note: Based on availability and eligibility you may sign-up for the session via Conference Navigator after you register for this conference.

Tuesday, 10 May, 2022 / 10:00 AM - 10:30 AM BST

Relating Data Fabric Fundamentals to the Business Drivers

Robert Thanaraj, Director Analyst, Gartner

Data fabrics are generally discussed regarding the technical benefits, efficiency, even elegance at times. We cover those design fundamentals, but we also answer the question--what does the business get out of it? We explain how data fabric implementations evolve slowly and how to align it with measured business benefits that can signal to continue or slow down.

Tuesday, 10 May, 2022 / 01:45 PM - 03:15 PM BST

Workshop: How to Measure and Improve Data Quality?

Jason Medd, Director Analyst, Gartner

This workshop walks through practical steps of measuring and improving data quality. Attendees will understand the key objectives and activities of measuring data quality including how to define and select data quality metrics, develop the actual measurement jobs, and identify the benchmark. The workshop will also discuss possible solutions for the data quality problems.

Please Note: Based on availability and eligibility you may sign-up for the session via Conference Navigator after you register for this conference.

Wednesday, 11 May, 2022 / 10:45 AM - 11:15 AM BST

12 Quick Actions to Improve Your Data Quality

Jason Medd, Director Analyst, Gartner

High-quality, trusted data is critical for successful digital business initiatives. If data and analytics leaders are to enable a data-driven organization, they must take pragmatic and targeted actions to improve their enterprise data quality. There are 12 quick actions which help organizations achieve their data quality goals.

Wednesday, 11 May, 2022 / 10:45 AM - 11:15 AM BST

Database Management Systems — Accelerate to the Cloud

Adam Ronthal, VP Analyst, Gartner

The database management market is undergoing a rapid transition. Cloud and dbPaaS have become the platform of choice and pricing models are under pressure from both the open-source and the cloud.
- What is driving the data infrastructure transformation to new technologies?
- How are existing technologies changing and what new technologies are emerging to support this transformation?
- How are vendors addressing the shift to the cloud and how will the market evolve?

Wednesday, 11 May, 2022 / 01:30 PM - 02:15 PM BST

Roundtable: How do Organizations Manage the Product Information Supply Chain?

Helen Grimster, Sr Principal Analyst, Gartner

This session will cover the disciplines and associated solutions for supporting the full journey in the product information supply chain. PIM traditionally has been seen as central to solving this but what’s new in this space? Here we will discuss where the newer solution covering product data syndication and product experience management sit and what do they offer in the whole product information lifecycle.

Please Note: Based on availability and eligibility you may sign-up for the session via Conference Navigator after you register for this conference.

Wednesday, 11 May, 2022 / 02:15 PM - 02:45 PM BST

Maximize Business Outcome By Adopting Modern Data Catalog with AI-enabled Metadata Capabilities

Guido De Simoni, Sr Director Analyst, Gartner

Demand for data catalogs is soaring as organizations continue to struggle with finding, inventorying and analyzing vastly distributed and diverse data assets. D&A leaders must investigate and adopt modern data catalogs with AI-enabled metadata as part of their overall data management solutions strategy. This session addresses how to leverage modern data catalogs as a first step in enabling new data management for maximum business outcome.

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