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Tuesday, May 04, 2021 / 11:00 AM - 11:30 AM EDT

(03:00 PM - 03:30 PM GMT)

Gartner Opening Keynote: Learn, Unlearn, Relearn: The Key to D&A Success

Gareth Herschel, VP Analyst, Gartner

"You should sit in meditation for 20 minutes a day, unless you’re too busy. Then you should sit for an hour." We live in busy times, and we need to take the time to think about what is important. What is important in Data and Analytics is Change. If your organization doesn't need or want change, then you don't need data and analytics. But it does. So you do. This is what to do to be successful.

Tuesday, May 04, 2021 / 11:45 AM - 12:15 PM EDT

(03:45 PM - 04:15 PM GMT)

Ask the Expert: Why Diversity is Important for Digital Business Transformation

Debra Logan, Distinguished VP Analyst, Gartner

The business case for diversity and inclusion is well established: superior financial results, higher rates of innovation, and greater levels of employee engagement. Yet many companies and functions within those companies struggle to recruit and retain nontraditional employees. With the best intentions and active diversity programs, the rate of participation by nontraditional employees remains low. Ask the expert how new thinking can change the way data and analytics leaders approach the challenges of diversity and inclusion to change the composition of their workforce to facilitate digital transformation and reap the business benefits. *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.

Tuesday, May 04, 2021 / 01:15 PM - 01:45 PM EDT

(05:15 PM - 05:45 PM GMT)

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. Here. Now. D&A leaders should extend their toolkit with Scenario Planning to further increase the strategic impact they have.

Tuesday, May 04, 2021 / 01:15 PM - 01:45 PM EDT

(05:15 PM - 05:45 PM GMT)

The Foundation of an Effective Data and Analytics Operating Model

Mike Rollings, Distinguished VP Analyst, Gartner

This session details the foundation of an effective data and analytics operating model.

Tuesday, May 04, 2021 / 01:15 PM - 01:45 PM EDT

(05:15 PM - 05:45 PM GMT)

Ask the Expert: Graph 101

Jim Hare, Distinguished VP Analyst, Gartner

Join this Ask the Expert session to learn more about Graph 101.

Tuesday, May 04, 2021 / 01:15 PM - 02:00 PM EDT

(05:15 PM - 06:00 PM GMT)

Roundtable: Data and Analytics Value Management: Real World Example, Success Stories and Lessons Learned

Simon Greener, Expert Partner, Practice, Gartner

Join Gartner Consulting D&A Expert Partner, Simon Greener and AstraZeneca Vice President and Head of Data Office, Peder Blomgren, in this Roundtable session to learn more about data and analytics value management. Following a recently successful pilot using the Gartner ROAR model and data asset valuation techniques they will share experiences and lessons learned. The Roundtable will discuss leveraging external and internal best practices and how taking a fast fail approach could work for your organization.

Tuesday, May 04, 2021 / 02:45 PM - 03:15 PM EDT

(06:45 PM - 07:15 PM GMT)

The Foundation and Future of Organization and Roles: From Control to Collaborate

Jorgen Heizenberg, Sr Director Analyst, Gartner

Fresh hot roles for the information-savvy organization are emerging to help organizations become more data-driven. New skills and competencies are required for existing roles to adapt to the changing role of data and analytics. This session will highlight the organizational design and key roles and responsibilities in data and analytics to be ready for the digital business. Key issues: What’s happening in data and analytics that is forcing change? What’s the impact on the organization? What’s the impact on roles and skills?

Tuesday, May 04, 2021 / 02:45 PM - 03:30 PM EDT

(06:45 PM - 07:30 PM GMT)

Roundtable: Achieving Pay Equity in IT by 2025: How Can We Make it Happen?

Debra Logan, Distinguished VP Analyst, Gartner

Rita Sallam, Distinguished VP Analyst, Gartner

Join this Roundtable session to learn more about how we can achieve pay equity in IT by 2025.

Tuesday, May 04, 2021 / 03:30 PM - 04:00 PM EDT

(07:30 PM - 08:00 PM GMT)

Crafting a CDO Narrative That Aligns, Informs and Inspires

Debra Logan, Distinguished VP Analyst, Gartner

The articulation of the CDO role, its function and its intended impact is a challenge, given the breadth of the mission, the perspectives of stakeholders and the lack of a shared language. This session will enable new and seasoned CDOs in communicating the essence of their roles and strategies. How to draft a compelling narrative for data and analytics? How to test the narrative with stakeholders? How to use the narrative to set context for your data and analytics strategy and roadmap?

Tuesday, May 04, 2021 / 03:30 PM - 04:00 PM EDT

(07:30 PM - 08:00 PM GMT)

Ask the Expert: Digital Ethics

Frank Buytendijk, Distinguished VP Analyst, Gartner

Join this Ask the Expert session to learn more about digital ethics.

Wednesday, May 05, 2021 / 11:45 AM - 12:15 PM EDT

(03:45 PM - 04:15 PM GMT)

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

Alan D. Duncan, VP 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. Why do we need “data literacy” for digital business? The case for change: what do we really mean by “data literacy”? How to kick-start Data Literacy Programme Planning?

Wednesday, May 05, 2021 / 01:15 PM - 02:00 PM EDT

(05:15 PM - 06:00 PM GMT)

Roundtable: How to Select the Right Data and Analytics Organizational Model and Supporting Key Roles

Jorgen Heizenberg, Sr Director Analyst, Gartner

Kurt Schlegel, VP Analyst, Gartner

David Mayer, Leadership Partner, Gartner

Data and analytics leaders such as chief data officers (CDO) are responsible for deriving measurable business value from their organization's information assets. As such, the data and analytics function is under the spotlight to produce high-quality results quickly and efficiently.
Key issues: In this workshop, we will explore: What skills and competencies are needed for data and analytics excellence? How to organize and structure the team for success? What are the pitfalls to avoid when developing a high-performance data and analytics organization? *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.

Wednesday, May 05, 2021 / 01:15 PM - 02:00 PM EDT

(05:15 PM - 06:00 PM GMT)

Workshop: How to Measure and Improve Data and Analytics Maturity

Nate Novosel, Sr Director, Advisory, Gartner

Sarah Turkaly, Sr Specialist, Advisory, Gartner

Gartner's IT Score maturity model provides a clear process for measuring and improving the maturity of your organization's data and analytics program. Attendees will understand the key objectives and activities of the data and analytics function including: How to benchmark their maturity against other organizations. *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. *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.

Wednesday, May 05, 2021 / 02:45 PM - 03:15 PM EDT

(06:45 PM - 07:15 PM GMT)

Why Every Organization Should Have a Chief Data Officer

Andrew White, Distinguished VP Analyst, Gartner

This research demonstrates the value to an organization of having a CDO, and is augmented with other advice to explain why every organization should have a chief data officer. The question is not if, but when. Then again, you may already have a CDO and not even know it! Come find out what that means
- What Can a CDO Do For Your Organization?
- What Is the Impact of Not Having a CDO?
- Why Does Every Organization Need a CDO?

Wednesday, May 05, 2021 / 02:45 PM - 03:15 PM EDT

(06:45 PM - 07:15 PM GMT)

Cost Optimize Your Data Fabric

Mark Beyer, Distinguished VP Analyst, Gartner

Data Fabric requires multiple traditional and emerging technologies for realizing the design. Every pillar of a data fabric has a technology cost. We will identify and describe these technology cost considerations for building a Data Fabric. This session will also add directions on how to cost-optimize your journey in reaching to a data fabric design from a short-term and long-term perspective.

Wednesday, May 05, 2021 / 02:45 PM - 03:30 PM EDT

(06:45 PM - 07:30 PM GMT)

Workshop: The Foundations of Data Literacy and Data-Driven Culture Are the Basis for Digital Business Success

Alan D. Duncan, VP Analyst, Gartner

Donna Medeiros, Sr Director Analyst, Gartner

A critical success factor for CDOs is their ability to foster the organization's capability for improved data literacy and a more data-driven culture, in support of new digital business opportunities. In this foundational workshop, participants will have the opportunity to gauge their own data literacy, their organization’s data literacy and develop approaches to bridge the gap to raise literacy levels. Based on stories and examples of leading practices, this workshop will examine: What is data literacy and how does it help me identify and communicate my organization’s needs? How does this help foster a data-driven culture? *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.

Wednesday, May 05, 2021 / 03:30 PM - 04:00 PM EDT

(07:30 PM - 08:00 PM GMT)

Ask the Expert: So You Want to Be a CDO?

Debra Logan, Distinguished VP Analyst, Gartner

Join this Ask the Expert session to learn more about becoming a Chief Digital Officer.

Wednesday, May 05, 2021 / 03:30 PM - 04:00 PM EDT

(07:30 PM - 08:00 PM GMT)

Data and Analytics in Times of Crisis: Lessons Learned

Donna Medeiros, Sr Director Analyst, Gartner

The pandemic accelerated the uptake of data and analytics and put its use front and center as a vital capability for driving decision making and even survival. This continues as the world gets vaccinated. How did organizations across industries and the public sector adapt by utilizing data and analytics to address the many COVID-19 related health and economic challenges? What are the key lessons learned and insights gained?

Thursday, May 06, 2021 / 11:45 AM - 12:15 PM EDT

(03:45 PM - 04:15 PM GMT)

Decisions: They Are What You Make Them

Gareth Herschel, VP Analyst, Gartner

We talk about data-driven decisions, but is that really what we want? Combining survey data with broader research in behavioral psychology, this session will provide an overview of how decisions are viewed within organizations, and how they can be improved using a combination of hard data and soft nudges.

Thursday, May 06, 2021 / 01:15 PM - 01:45 PM EDT

(05:15 PM - 05:45 PM GMT)

How to Have an Engaging Conversation With Your CEO About Data and Analytics

Saul Judah, VP Analyst, Gartner

Better engagement with senior business leaders requires data and analytics leaders to have sharper communication skills. This short session shows how improving the power of your listening, influencing and persuasion will lead to more engaging and actionable business conversations.

Thursday, May 06, 2021 / 01:15 PM - 01:45 PM EDT

(05:15 PM - 05:45 PM GMT)

How to Select the Right Professional Services Provider for Your Data and Analytics

Jorgen Heizenberg, Sr Director Analyst, Gartner

Data and analytics leaders need support from system integrators or consulting firms as they often lack the internal resources or skills to speed up and scale D&A. The market for D&A services is mature and well-established but it is also facing disruption. How do D&A leaders find and choose from thousands of possible partners?
Key issues discussed:
Why do I need a D&A service provider?
How do I select a D&A service provider?
How do I scale the value of the relationship?

Thursday, May 06, 2021 / 03:30 PM - 04:00 PM EDT

(07:30 PM - 08:00 PM GMT)

Ask the Expert: Data and Analytics in Times of Crisis

Donna Medeiros, Sr Director Analyst, Gartner

Alan D. Duncan, VP Analyst, Gartner

Join this Ask the Expert session to learn more about D&A in times of crisis.

Thursday, May 06, 2021 / 03:30 PM - 04:00 PM EDT

(07:30 PM - 08:00 PM GMT)

Use Sports Analytics to Communicate the Value of Business Analytics

Kurt Schlegel, VP Analyst, Gartner

Sports leagues around the world have adopted analytics to improve the performance of their players and teams. These efforts offer business analytic leaders a treasure trove of best practices and lessons learned. In particular, this 30 minute presentation will cover how to use sports analytics as a way to communicate the value and importance of business analytics to their organization.

Tuesday, May 04, 2021 / 11:45 AM - 12:15 PM EDT

(03:45 PM - 04:15 PM GMT)

How to Create Metrics That Matter

Kurt Schlegel, VP Analyst, Gartner

Getting your performance indicators right helps build a successful organization. As they say, what gets measured, gets done. So what is new in creating the metrics that matter? What are the right metrics for organizations that are undergoing digital optimization and transformation? How can data and analytics do more than just measure the right KPIs, but also tangibly improve them. And how does measurement drive the right behaviors?

Tuesday, May 04, 2021 / 11:45 AM - 12:15 PM EDT

(03:45 PM - 04:15 PM GMT)

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 Data and Analytics research community gets. This is because the role of data and analytics is changing. From being a discipline of itself to becoming a set of capabilities in support of the wider digital strategy or transformation, this presentation will share the best practices that have emerged from hundreds of document reviews and thousands of inquiries.

Tuesday, May 04, 2021 / 02:45 PM - 03:15 PM EDT

(06:45 PM - 07:15 PM GMT)

How to Get Started with Advanced Analytics that Rapidly Generate Business Value

Nate Novosel, Sr Director, Advisory, Gartner

This presentation will showcase practical techniques from D&A organizations to get started and rapidly generate business value with advanced analytics. Topics include how to promote the benefits of advanced analytics to business partners and how you escape the expectation hype so you can communicate and execute on the real promise of advanced analytics.

Tuesday, May 04, 2021 / 02:45 PM - 03:15 PM EDT

(06:45 PM - 07:15 PM GMT)

Ask the Expert: Decision Management and Decision Models

W. Roy Schulte, Distinguished VP Analyst, Gartner

Erick Brethenoux, VP Analyst, Gartner

Decision management techniques, including business rules, machine learning and optimization, help data and analytics leaders operationalize analytics. This interactive session will discuss attendee questions on trends, industry standards and best practices. What kind of business decisions should use a decision management approach? Which vendors are delivering innovative decision management tools? *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.

Tuesday, May 04, 2021 / 02:45 PM - 03:15 PM EDT

(06:45 PM - 07:15 PM GMT)

Why You as a Data and Analytics Leader Should Care About the Future of Applications

Dennis Gaughan, Distinguished VP Analyst, Gartner

Every business is a technology business and applications are at the core of every organization. Business models, customer demands, and the competitive landscape are all undergoing significant change which will require a new approach to how application leaders need to develop and deliver their application strategy to meet business goals. This session will focus on the strategy, architectures, people and culture changes required to embed application capabilities into the DNA of your business.

Tuesday, May 04, 2021 / 03:30 PM - 04:00 PM EDT

(07:30 PM - 08:00 PM GMT)

Create a Business Case for Metadata Management to Enable Transformational Data and Analytics Initiatives

Guido De Simoni, Sr Director Analyst, Gartner

Data and analytics leaders should use Gartner’s seven-step process to develop a business case that drive business stakeholders engagement and demonstrate business value leveraging KPIs for key metadata management initiatives. What are the critical steps to address in a business case for metadata management? How do you select relevant metrics? How do you communicate value with stakeholders focus?

Wednesday, May 05, 2021 / 11:45 AM - 12:15 PM EDT

(03:45 PM - 04:15 PM GMT)

Digital Ethics: From “Why” to “How”

Frank Buytendijk, Distinguished VP Analyst, Gartner

Digital Ethics is a mainstream topic now and every D&A leader needs to address this. Many executives worry about the unintended consequences of the use of data and technology, particularly concerning AI. Some have even defined their set of principles. But how you do operationalize these principles? And how do you address the dilemmas that come with digital ethics?

Wednesday, May 05, 2021 / 11:45 AM - 12:30 PM EDT

(03:45 PM - 04:30 PM GMT)

Workshop: Creating an Effective Data and Analytics Strategy

Mike Rollings, Distinguished VP Analyst, Gartner

Andrew White, 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. *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.

Wednesday, May 05, 2021 / 01:15 PM - 01:45 PM EDT

(05:15 PM - 05:45 PM GMT)

Advanced Data and Analytics: What Do Leading Organizations Do?

Jitendra Subramanyam, VP, Team Manager, Gartner

What are leading organizations in Data and Analytics doing that others can learn from? How do they organize? How do they find and retain the right skills? What does their delivery model look like? How do they focus on creating business value? Attend this session and learn from the interviews Gartner has been conducting.

Wednesday, May 05, 2021 / 01:15 PM - 01:45 PM EDT

(05:15 PM - 05:45 PM GMT)

Optimize and Control Your Cloud Spend for Data Management

Adam Ronthal, VP Analyst, Gartner

Data and analytics leaders using cloud-based data management solutions are often surprised by cost overruns. A comprehensive approach combining proactive, reactive and product-specific measures is essential for predictable budgeting for cloud data management environments. We will explore financial governance approaches including choosing the best cloud pricing models for given workloads and the emerging practice of FinOps.

Wednesday, May 05, 2021 / 03:30 PM - 04:00 PM EDT

(07:30 PM - 08:00 PM GMT)

Your Data and Analytics Platform: The Role it Plays in Your Digital Business Success

Andrew White, Distinguished VP Analyst, Gartner

This updated research explains the status and evolving set of data and analytics platforms and how they will increasingly drive every business moment and outcome improvement. The emerging data and analytics platform will be defined and presented, and a clear road map for how to assemble it in your organization will be shared. Don’t panic and buy some AI yet.

Thursday, May 06, 2021 / 11:45 AM - 12:15 PM EDT

(03:45 PM - 04:15 PM GMT)

How to Optimize Data and Analytics Value: The New Strategic Imperative

Rita Sallam, Distinguished VP Analyst, Gartner

Data and analytics is a strategic business function that fuels digital acceleration. Yet, most organizations don’t have a systematic way to assess, optimize and articulate data and analytics value. This presentation highlights how CDOs, CIOs, and data and analytics leaders across the organization can use Gartner's D&A Value Management Framework to identify, prioritize and select D&A portfolios that optimize business impact and align to key business initiatives.

Thursday, May 06, 2021 / 11:45 AM - 12:15 PM EDT

(03:45 PM - 04:15 PM GMT)

Ask the Expert: Why Metadata Matters, Stories from the Real World

Ankush Jain, Sr Principal Analyst, Gartner

The objective of this Ask the Expert is to steer a discussion around metadata management with a focus on three things:

-People - Metadata Roles - Shared roles - EIM or D&A Governance
-Process - setting up an enterprise metadata management discipline, categorizing metadata. Recent trend- active metadata management
-Technology - Usage of specific enterprise metadata management solutions

Thursday, May 06, 2021 / 01:15 PM - 01:45 PM EDT

(05:15 PM - 05:45 PM GMT)

What You Need to Do About Customer Analytics

David Norrie, Sr Principal Analyst, Gartner

Improving customer experiences and relationships is one of the largest drivers of analytic adoption. The diversity of opportunities to apply analysis to drive improved understanding of customers can be daunting so this session will help organizations prioritize their customer analytic strategy.
- What should you be doing already?
- What should you be doing next?
- What should you be planning for?

Thursday, May 06, 2021 / 01:15 PM - 02:00 PM EDT

(05:15 PM - 06:00 PM GMT)

Roundtable: Getting more from the Data Lake

Donald Feinberg, Distinguished VP Analyst, Gartner

Merv Adrian, VP Analyst, Gartner

Adam Ronthal, VP Analyst, Gartner

Many organizations have created a data lake but find it difficult to use and maintain. In this roundtable we will discuss the issues around the data lake and what can be done to realize greater value from the data lake. The discussion will encompass: 1. What the issues seen with a data lake; 2. How to change the infrastructure to make the data lake less complex; and 3. How do we gain more business value from the data lake. *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.

Thursday, May 06, 2021 / 01:15 PM - 02:00 PM EDT

(05:15 PM - 06:00 PM GMT)

Workshop: The Art of Articulating and Quantifying the D&A Business Value

Rita Sallam, Distinguished VP Analyst, Gartner

David Pidsley, Sr Director Analyst, Gartner

Join this workshop to learn about the art of articulating and quantifying the D&A business value.

Thursday, May 06, 2021 / 02:45 PM - 03:15 PM EDT

(06:45 PM - 07:15 PM GMT)

How to Buy Data and Analytics Technologies in a Changing World

Merv Adrian, VP Analyst, Gartner

With the move to cloud-based Data Management Systems and Analytic Platforms, Data and Analytics Leaders need to rethink how they buy technology. Prices are falling. Subscription replaces perpetual. Try before you buy proof of concepts (POCs) supersede request for proposals (RFPs). In this 30-minute break-out session, Gartner analysts will discuss how to stay ahead of these trends.

Thursday, May 06, 2021 / 02:45 PM - 03:15 PM EDT

(06:45 PM - 07:15 PM GMT)

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.

Thursday, May 06, 2021 / 02:45 PM - 03:30 PM EDT

(06:45 PM - 07:30 PM GMT)

Workshop: Data and Analytics Licensing Strategy and Negotiations can Make or Break Your Initiatives

Ankush Jain, Sr Principal Analyst, Gartner

Merv Adrian, VP Analyst, Gartner

With an ever increasing focus on cost optimization across data and analytics software portfolios, and the need to investigate and adopt new technologies, data and analytics leaders are often caught in a conundrum on how to balance the two. This two-part session will guide them on:

1. The most popular and upcoming pricing trends, license models and best practices to negotiate with new and upcoming vendors

2. What are the best practices to negotiate with vendors across data integration, data quality, Master data management, Data Governance, Analytics/BI tools, Hadoop Distribution, NoSQL DBMS, cloud and Data Lakes enablement vendors to save millions *

*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. *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.

Tuesday, May 04, 2021 / 11:45 AM - 12:15 PM EDT

(03:45 PM - 04:15 PM GMT)

How to Organize for Innovation with Data and Analytics/AI: From Experimentation to Enterprise Scale

Jorgen Heizenberg, Sr Director Analyst, Gartner

Organizations are gearing up their multidisciplinary teams to innovate with data and analytics or implement a variety of AI techniques in ever more business areas. Data and analytics leaders often struggle to identify which capabilities, roles and skills go together, and which organizational designs to pursue AI- and data-driven innovation.

Tuesday, May 04, 2021 / 11:45 AM - 12:15 PM EDT

(03:45 PM - 04:15 PM GMT)

The Foundation and Future of Data and Analytics Governance

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.

Tuesday, May 04, 2021 / 01:15 PM - 01:45 PM EDT

(05:15 PM - 05:45 PM GMT)

The Elusive Data (and Analytics) Governance Platform — Where is It? It's Not for Sale.

Andrew White, Distinguished VP Analyst, Gartner

This forward looking and provocative research explores and explains the state of the market for data and analytics governance capabilities and supporting technologies. We will review the market overall and discuss how organizations should look at technology; and where, when and if a market for data (and analytics) governance will emerge.

Tuesday, May 04, 2021 / 02:45 PM - 03:15 PM EDT

(06:45 PM - 07:15 PM GMT)

Ask the Expert: Choosing the Right DBMS for Your Project

Donald Feinberg, Distinguished VP Analyst, Gartner

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. *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.

Tuesday, May 04, 2021 / 03:30 PM - 04:00 PM EDT

(07:30 PM - 08:00 PM GMT)

Ask the Expert: Effective Data and Analytics Governance: What are the Must-Have Fundamentals?

Saul Judah, 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.

Wednesday, May 05, 2021 / 11:45 AM - 12:15 PM EDT

(03:45 PM - 04:15 PM GMT)

Adopt a Data Hub Strategy to Unify Data and Analytics Governance and Integration

Ted Friedman, Distinguished VP Analyst, Gartner

Organizations are often confused by vendors who overcomplicate siloed approaches to data and analytics governance and integration. An effective data hub strategy is a synthesis of best practices that can help you succeed with Data and Analytics governance and data integration, while simplifying your infrastructure.

Wednesday, May 05, 2021 / 11:45 AM - 12:30 PM EDT

(03:45 PM - 04:30 PM GMT)

Roundtable: Challenges and Tactics for Starting or Expanding a Data and Analytics Governance Program

Saul Judah, VP Analyst, Gartner

Andrew White, Distinguished VP Analyst, Gartner

Art Johnson, Leadership Partner, Gartner

Data and analytics leaders are faced with many challenges when trying to grow governance maturity -- from politics to past failed attempts, barriers inhibit the necessary engagement and taking the right actions to move forward. Use this interactive session to share issues, ideas and solutions with your peers in order to make progress on your data and analytics governance work. *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.

Wednesday, May 05, 2021 / 01:15 PM - 01:45 PM EDT

(05:15 PM - 05:45 PM GMT)

Five Critical Components for Effective Data Quality Programs

Melody Chien, Sr Director Analyst, Gartner

Quality insights required by digital business depend on trusted, high-quality data. However, data quality is often treated as an after-thought inconvenience. Effective data quality programs involve not just technologies and tools; it requires a comprehensive framework with foundational building blocks in metrics, processes, policies, and roles and responsibilities. This presentation introduces 5 critical components for effective data quality programs.

Wednesday, May 05, 2021 / 01:15 PM - 01:45 PM EDT

(05:15 PM - 05:45 PM GMT)

Where and How MDM Adds Value to the Business

Malcolm Hawker, Sr Director Analyst, Gartner

Master data management programs must be tied to key business drivers to gain end-users' commitment. This session uses case studies to illustrate where and how MDM can deliver clear business value. What are the scenarios where MDM adds value to the business? How can the capabilities that MDM provides be tied to business value? How can your use cases be categorized to best communicate value?

Thursday, May 06, 2021 / 01:15 PM - 01:45 PM EDT

(05:15 PM - 05:45 PM GMT)

Augmented Data Catalogs: Now an Enterprise ​ Must Have to Maximize Data Utilization​

Melody Chien, 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. Data and analytics leaders must investigate and adopt ML-augmented data catalogs as part of their overall data management solutions strategy. This session addresses how data and analytics leaders can investigate and adopt modern ML-enabled data catalogs as a first step in enabling new data management.

Thursday, May 06, 2021 / 03:30 PM - 04:00 PM EDT

(07:30 PM - 08:00 PM GMT)

MDM Role in the Digital Enterprise

Simon Walker, Director Analyst, Gartner

E-commerce has served to drive a voracious appetite for product data. Satisfaction of the "demand side" of product data calls for an end-to-end data strategy and capability. What are the drivers for product data in support of digital commerce? What is the end-to-end product data capability required to satisfy digital commerce requirements? How can organizations deliver against these requirements?

Thursday, May 06, 2021 / 03:30 PM - 04:00 PM EDT

(07:30 PM - 08:00 PM GMT)

Trusted Data Sharing — 5 Insights to Get It Right

Lydia Clougherty Jones, Sr Director Analyst, Gartner

Data sharing without trust can undermine even the most brilliant data and analytics strategy. Trusted-based data sharing done well can create cost savings, improve risk mitigation, and drive new revenue, resulting in a unique, competitive advantage. This session will demonstrate how data and analytics leaders can build thoughtful data sharing programs aligned with business goals, including accelerating digital transformation.

Tuesday, May 04, 2021 / 11:45 AM - 12:30 PM EDT

(03:45 PM - 04:30 PM GMT)

Roundtable: Getting Started with Data Literacy and Data-Driven Business Transformation

Alan D. Duncan, VP Analyst, Gartner

Saul Judah, VP Analyst, Gartner

Brad Erickson, Leadership Partner, Gartner

The increasingly pervasive nature of data makes it crucial for all employees to learn to “speak data.” This roundtable session will provide you with the opportunity to explore successes and pitfalls for starting a data literacy program as a key enabler of data-driven business. How to champion data literacy awareness and make a clear business 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? *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.

Tuesday, May 04, 2021 / 02:45 PM - 03:15 PM EDT

(06:45 PM - 07:15 PM GMT)

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

David Pidsley, Sr Director 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, May 04, 2021 / 02:45 PM - 03:15 PM EDT

(06:45 PM - 07:15 PM GMT)

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

James Richardson, Sr Director Analyst, Gartner

Data storytelling offers a more engaging means of communicating findings than BI reporting 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, May 04, 2021 / 02:45 PM - 03:15 PM EDT

(06:45 PM - 07:15 PM GMT)

Ask the Expert: Data Catalogs 101 — Moving from “Nice-to-Have” to a “Must-Have” — Answers to FAQs!

Ankush Jain, Sr Principal Analyst, Gartner

Ask the Expert session around Data Catalog: Answers to all your FAQs !

- The purpose of data catalogs is to organize the thousands or millions of an organization’s data sets to help users perform searches for specific data and understand its metadata, such as data lineage, uses, and how others perceive the data’s value (or lack of).

- Data catalog implementations can vary depending on the use-case requirements, tool capabilities and maturity of each organization. There are also many vendor solutions and technology options through which companies can add data cataloging capabilities to their existing data management architecture.

-This session will help D&A Leaders & other participants understand the past, present and future of Data Catalogs. Provide answers to their questions, technology trends, available technology options, pricing trends, implementation trends etc. *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.

Tuesday, May 04, 2021 / 03:30 PM - 04:00 PM EDT

(07:30 PM - 08:00 PM GMT)

Cloud Composes Analytics and Data Science Capabilities Together

Julian Sun, Director Analyst, Gartner

The emerging analytics capabilities are becoming cloud-first and cloud-only. To embrace the collision between analytics and BI with data science and machine learning platforms, organizations will inevitably manage the capabilities in the cloud. The session will demonstrate why data and analytics leaders should synergize and evolve analytics in the cloud.
Why now is the time for the cloud analytics?
Key challenges for transitioning to cloud analytics.
Best practices for efficiently operating cloud analytics.

Tuesday, May 04, 2021 / 03:30 PM - 04:00 PM EDT

(07:30 PM - 08:00 PM GMT)

How to Balance Control and Agility in Your Self-Service Analytics

Austin Kronz, Sr Principal Analyst, Gartner

Self-service analytics has become a reality as modern analytics and BI tools are now widely adopted, but organizations struggle to deliver in a way that satisfies both IT and the business. Data and analytics leaders can avoid chaos and increase efficiency by balancing control and agility. How to define the roles, privileges, and responsibilities of individuals when moving toward self-service analytics? How do we create a modern analytics and BI content creation life cycle?

Wednesday, May 05, 2021 / 11:45 AM - 12:15 PM EDT

(03:45 PM - 04:15 PM GMT)

The Foundations of Analytics and BI: A Market in Transition

Austin Kronz, Sr Principal Analyst, Gartner

This presentation highlights the foundations and key trends in analytics and BI, and is a must-attend for all data and analytics leaders and business practitioners involved in analytics who are interested in starting or expanding their subject-matter expertise.

Wednesday, May 05, 2021 / 02:45 PM - 03:15 PM EDT

(06:45 PM - 07:15 PM GMT)

How to Improve Your Organization with Business-Domain-Focused Data and Analytics

Melissa Davis, Sr Director Analyst, Gartner

The future of Data and Analytics requires line of business Data and Analytics to be pervasive in your organization – incorporated into all key decisions across all business functions – such as marketing, HR and industry verticals such as telco, banking for speed, creativity and innovation. What does data and analytics means for the business functions today? How to deepen business function collaboration with IT?

Wednesday, May 05, 2021 / 02:45 PM - 03:15 PM EDT

(06:45 PM - 07:15 PM GMT)

How to Successfully Implement Innovative Data and Analytics Capabilities

Joao Tapadinhas, VP Analyst, Gartner

Some organization seem to master the deployment of innovative and impactful new technologies, while others consistently lag behind and fail to deliver value. Learn the common characteristics of failed and successful implementations of data and analytics capabilities.
- How to implement (the right) Data and Analytics capabilities?
- How to approach for the delivery of new D&A capabilities?

Wednesday, May 05, 2021 / 03:30 PM - 05:30 PM EDT

(07:30 PM - 09:30 PM GMT)

Bake-Off: Modern Analytics and BI Platforms

Rita Sallam, Distinguished VP Analyst, Gartner

James Richardson, Sr Director Analyst, Gartner

Donna Medeiros, Sr Director 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?

Thursday, May 06, 2021 / 11:45 AM - 12:15 PM EDT

(03:45 PM - 04:15 PM GMT)

How to Manage a Portfolio of Analytics, BI and DSML Tools

Afraz Jaffri, Director Analyst, Gartner

Many organizations use multiple analytics, BI and DSML products. Data and analytics leaders must model their set of tools as a portfolio by identifying areas of redundant practice and technology overlap. This will set them free to meet evolving analytics needs and realize economies of scale.

Thursday, May 06, 2021 / 02:45 PM - 03:15 PM EDT

(06:45 PM - 07:15 PM GMT)

When Worlds Collide: Augmented Analytics Combines Analytics and Data Science for High Impact

Carlie Idoine, Sr Director Analyst, Gartner

This presentation describes how augmented analytics is changing the analytic process to bridge the gap between analytics and BI and DSML.
1.) Why is this considered a collision (as opposed to a convergence) and how do we recognize it?
2.) What are the implications for those that use, support and provide these tools?
3.) How should you respond to the collision in a way that launches analytics programs forward?

Thursday, May 06, 2021 / 02:45 PM - 03:15 PM EDT

(06:45 PM - 07:15 PM GMT)

Ask the Expert: Data Management in Multicloud and Intercloud

Adam Ronthal, VP Analyst, Gartner

Donald Feinberg, Distinguished VP Analyst, Gartner

Join this Ask the Expert session to learn more about data management in multicloud and intercloud.

Thursday, May 06, 2021 / 02:45 PM - 03:15 PM EDT

(06:45 PM - 07:15 PM GMT)

What If More People Could Ask “What If?” — How to Support Scenario Thinking

Afraz Jaffri, Director Analyst, Gartner

Analytical outputs delivered as visualizations, dashboards or natural language often fail to incorporate "what-if" analysis, allowing users to test a set of options and understand impact. This session will show data and analytics leaders how to use this technique successfully, the tools available and how to increase usage across the organization.

Thursday, May 06, 2021 / 02:45 PM - 03:30 PM EDT

(06:45 PM - 07:30 PM GMT)

Roundtable: How to Govern Self – Service Analytics

Kurt Schlegel, VP Analyst, Gartner

Austin Kronz, Sr Principal Analyst, Gartner

Daren Brabham, Sr Director Analyst, Gartner

Joe Pignatello, Leadership Partner, Gartner

This roundtable will allow attendees to discuss various techniques that have enabled users to create their own analytic content while still maintaining consistency and consensus of the data.

Wednesday, May 05, 2021 / 11:45 AM - 12:15 PM EDT

(03:45 PM - 04:15 PM GMT)

Ask the Expert: How are You Using AI and ML for Your Customer Analytics?

David Norrie, Sr Principal Analyst, Gartner

Melissa Davis, Sr Director Analyst, Gartner

The session focuses on the state of AI and ML for customer analytics. *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.

Wednesday, May 05, 2021 / 01:15 PM - 01:45 PM EDT

(05:15 PM - 05:45 PM GMT)

Drive Data Scientist Productivity with Data Wrangling Techniques

Daniel Cota, Sr Director Analyst, Gartner

Between 40% - 80% of a data scientist's time is spent in data analysis and finding the right data alignment with the machine learning algorithm. The current ad hoc and iterative nature creates uncertainty with implementation timelines, as well as impact to model output quality and fairness in decision making. This session provides various data wrangling techniques to improve overall productivity.

Thursday, May 06, 2021 / 11:45 AM - 12:15 PM EDT

(03:45 PM - 04:15 PM GMT)

Building Data Lakes Successfully

Sumit Pal, Sr Director Analyst, Gartner

How to build data lakes successfully, handling challenges with best practices, avoiding pitfalls,
What is different in Data Lakes 2.0 and why is it making a comeback
In this session, you’ll learn:
● Current state of Data Lake Architectures - Hybrid and Virtual Data Lakes
● Data Lake Layers and Cross Cutting Components - Ingestion, Storage, Processing, Consumption, Governance, Data Orchestration and Deployments
● Best Architectural practices across each of the layers and components

Thursday, May 06, 2021 / 01:15 PM - 01:45 PM EDT

(05:15 PM - 05:45 PM GMT)

Building Knowledge Graphs to Bridge Data Silos

Sumit Pal, Sr Director Analyst, Gartner

Businesses are operating in an ever more connected world where understanding complex relationships and interdependencies between data points is crucial to decision making.
Digital transformation of complex, inter-related data buried across data silos in an organization are best addressed by knowledge graph (KG) or graph-based approach

This session demystifies the landscape of graph stores, architectures and problems they solve and how knowledge graphs and Knowledge graph platforms are evolving to consolidate data across the silos
- what are the components of a Knowledge Graph
- How to go about building a Knowledge Graph
- How to connect data silos using a Knowledge Graph Platform

Thursday, May 06, 2021 / 01:15 PM - 01:45 PM EDT

(05:15 PM - 05:45 PM GMT)

How to Migrate Your Data and Analytics Platform to the Cloud

Henry Cook, Sr Director Analyst, Gartner

This session will explore key point of cloud migration from a data and analytics perspective. It will be structured around the concepts of market focus and market gaps to ensure a smooth migration. Most assisted aspects include schema conversion and data migration. Gaps include apps and operations, and price/performance comparisons.

Thursday, May 06, 2021 / 02:45 PM - 03:15 PM EDT

(06:45 PM - 07:15 PM GMT)

Ask the Expert: What is a Customer Data Platform and Do I Need One?

Melissa Davis, Sr Director Analyst, Gartner

Customer Data Platforms (CDPs) promise to allow marketers to easily create data-driven, personalized customer experiences. Discuss the capabilities and limits of CDPs, and the technical requirements necessary to implement one, and if you can use your company's current technology stack to recreate these capabilities. *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.

Thursday, May 06, 2021 / 02:45 PM - 03:15 PM EDT

(06:45 PM - 07:15 PM GMT)

XOps for Building Scalable AI Platforms

Sumit Agarwal, Sr Director Analyst, Gartner

As AI and ML initiatives mature enterprises are at a loss to systematically productionalize their ML pipelines and face significant scalability and operational challenges. ML architectures tend to be constrained by data gravity, compute requirements and model integration complexities. Within this session, we will touch upon the framework to build and deploy ML models in production.

Thursday, May 06, 2021 / 03:30 PM - 04:00 PM EDT

(07:30 PM - 08:00 PM GMT)

Building End-to-End Data Architectures in AWS, Azure and GCP

Sanjeev Mohan, VP Analyst, Gartner

Cloud platforms provide new opportunities to architect for the most complex data management use cases such as logical data warehouse, streaming analytics and data science. This session delves into components of AWS, Azure and GCP to build reference architectures that are designed to meet your batch, real-time and advanced analytics needs.

Tuesday, May 04, 2021 / 11:45 AM - 12:15 PM EDT

(03:45 PM - 04:15 PM GMT)

The Foundation and Future 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, May 04, 2021 / 11:45 AM - 12:15 PM EDT

(03:45 PM - 04:15 PM GMT)

How to Avoid Data Lake Failures

Donald Feinberg, Distinguished VP Analyst, Gartner

Everyone wants a data lake, but most attempts fail to live up to hype around this concept. This session explores the multiple reasons why data lakes fail and how you can avoid the traps. Specifically, this session covers:
- What are the major scenarios for data lake failures?
- How can you detect and correct these scenarios?

Tuesday, May 04, 2021 / 01:15 PM - 01:45 PM EDT

(05:15 PM - 05:45 PM GMT)

The Practical Data Fabric — 6 Steps to Design an Augmented Data Management Infrastructure

Ehtisham Zaidi, Sr Director Analyst, Gartner

Due to the rising complexity of data management landscapes and the growing shortage of skilled data management and engineering teams, data and analytics leaders must invest in data fabric frameworks.
- How to define data fabrics in a way that is understood by business teams
- How to stitch a resilient data fabric for integration automation
- How to navigate the complex vendor landscape to select necessary technology components

Tuesday, May 04, 2021 / 01:15 PM - 01:45 PM EDT

(05:15 PM - 05:45 PM GMT)

How to Build and Support the Business-Driven Analytics Architecture

Joao Tapadinhas, VP Analyst, Gartner

The business-driven analytics architecture is more than technology. It includes the design and implementation of an extended data and analytics ecosystem spanning from technology, to data, people, processes and business outcomes. Learn how to:
- Select and prioritize Data and Analytics capabilities deployment.
- Design the implementation roadmap for a comprehensive data and analytics ecosystem.

Tuesday, May 04, 2021 / 01:15 PM - 01:45 PM EDT

(05:15 PM - 05:45 PM GMT)

Essentials for Starting and Supporting Master Data Management

Sally Parker, Sr Director Analyst, Gartner

Trusted and accessible master data is a foundational requirement of business agility. This has led to an explosion of interest in MDM as associated technologies in recent times. Yet the challenge cannot be met by technology alone. This session introduces the requisite knowledge across people, process and technology for a successful MDM program and helps organizations make informed decisions about right-sized strategic choices.

Tuesday, May 04, 2021 / 01:15 PM - 01:45 PM EDT

(05:15 PM - 05:45 PM GMT)

Cloud is the Future of Data Infrastructure

Donald Feinberg, Distinguished 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?

Tuesday, May 04, 2021 / 02:45 PM - 03:15 PM EDT

(06:45 PM - 07:15 PM GMT)

Not Your Father's MDM - The Rise of Modern Master Data Management

Malcolm Hawker, Sr Director Analyst, Gartner

MDM is growing as a business imperative, and a global pandemic, ongoing digital transformations and technological advances are fueling this trend. Companies that embrace modern forms of MDM, including augmented MDM, are out-accelerating their competitors and gaining market advantages. This session explores the attributes of more modern approaches to MDM and why successful data and analytics leaders are adopting them.

Tuesday, May 04, 2021 / 02:45 PM - 03:15 PM EDT

(06:45 PM - 07:15 PM GMT)

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

Robert Thanaraj, Sr Principal Analyst, Gartner

Confusion persists regarding the role of data warehouses, data lakes and data hubs. They are NOT the same. While the names and terminology are less important than the principles and capabilities, data and analytics 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?

Tuesday, May 04, 2021 / 03:30 PM - 04:00 PM EDT

(07:30 PM - 08:00 PM GMT)

Upgrade to a Data Fabric Design to Transform Your Data Management and Integration Architecture

Eric Thoo, Sr Director Analyst, Gartner

Convergence in data integration, quality, preparation and cataloging is paving a way for a core active metadata informed and ML-augmented dynamic data fabric design that can transform data management and integration design and delivery.
Key issues:
-What does a data fabric architecture mean for D&A leaders and why is it important?
-How can D&A leaders enable a data fabric architectures?
-What are the necessary skills, practices and technologies to fast forward your data fabric journey?

Tuesday, May 04, 2021 / 03:30 PM - 04:00 PM EDT

(07:30 PM - 08:00 PM GMT)

Driving Analytics Success with Data Engineering

Robert Thanaraj, Sr Principal Analyst, Gartner

Analytics must be backed with right data and processes. Data Engineering is the hidden champion. Specifically, this session covers:
1. What is Data Engineering, why do you need it?
2. How do you build Data Engineering discipline?
3. Where do you position Data Engineering teams?

Tuesday, May 04, 2021 / 03:30 PM - 04:00 PM EDT

(07:30 PM - 08:00 PM GMT)

From Self-Service to Enterprise to Augmented Data Preparation — Understanding the Data Preparation Tools Market

Ehtisham Zaidi, Sr Director Analyst, Gartner

Data preparation has matured rapidly in the last two years 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, May 05, 2021 / 11:45 AM - 12:15 PM EDT

(03:45 PM - 04:15 PM GMT)

The Future of Data Management Beyond 2021

Mark Beyer, Distinguished VP Analyst, Gartner

For decades, the focus of your data management architecture has been centered on the management of the data store. Concerns about replication, quality, timing, even storage devices and more are all based upon which store is holding my data now. That's over. We have entered the era of multicloud and massively distributed data utilization.

Wednesday, May 05, 2021 / 11:45 AM - 12:15 PM EDT

(03:45 PM - 04:15 PM GMT)

Ask the Expert: Data Preparation, Data Virtualization, Streaming Data Integration ― Utilize Modern Integration Technologies for Data and Analytics Success

Ehtisham Zaidi, Sr Director Analyst, Gartner

Robert Thanaraj, Sr Principal Analyst, Gartner

Data and analytics leaders are often tasked with complementing traditional data integration technologies and practices with modern and more self-service ways of managing integration. Attend this session to uncover best practices to inculcate modern integration practices for complete and faster analytics and data science.

1. How can data and analytics leaders complement traditional integration like ETL/ESB with modern integration technologies like data virtualization?
2. What are the use cases that are enabled by modern integration technologies like data virtualization, data preparation and stream data integration?
3. What are the vendor and market offerings and how to complement existing tools with newer technologies for your use case requirements?
*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.

Wednesday, May 05, 2021 / 02:45 PM - 03:15 PM EDT

(06:45 PM - 07:15 PM GMT)

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

Adam Ronthal, VP Analyst, Gartner

In this analyst/user discussion, we'll be talking all things cloud and data management. Data and analytics leaders should bring their questions and topics for exploration including pricing models, TCO, financial governance, hybrid cloud strategies, vendor landscape, 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.

Wednesday, May 05, 2021 / 03:30 PM - 04:00 PM EDT

(07:30 PM - 08:00 PM GMT)

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

Robert Thanaraj, Sr Principal 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 to provide a basic understanding of the concepts and value of DataOps.

Thursday, May 06, 2021 / 11:45 AM - 12:15 PM EDT

(03:45 PM - 04:15 PM GMT)

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

Ehtisham Zaidi, Sr Director Analyst, Gartner

Join this Ask the Expert session to learn more about the Data Fabric architecture.
Key Issues Discussed -
1.What is meant by a Data Fabric architecture & Why is it important for Data and Analytics Leaders?
2.What are the key "composable" pillars of a modern data fabric design?
3.How should you think about designing it with mature technologies available in the market today?

Thursday, May 06, 2021 / 01:15 PM - 01:45 PM EDT

(05:15 PM - 05:45 PM GMT)

Ask the Expert: How Does a Hybrid Integration Platform Approach Fit in Your Data Integration Strategy?

Eric Thoo, Sr Director Analyst, Gartner

A hybrid integration platform approach, as an extension of the data integration infrastructure is growing, as businesses adopt a dynamic mix of deployment models, integrator personas, integration patterns and endpoints. What are the effects of hybrid integration platform capabilities on data integration? How does integration platform as a service for data integration help your technologies evolve? *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.

Tuesday, May 04, 2021 / 11:45 AM - 12:15 PM EDT

(03:45 PM - 04:15 PM GMT)

Ask the Expert: Operationalizing AI and Machine Learning: Best Practices and Lessons Learned

Erick Brethenoux, VP Analyst, Gartner

Jim Hare, Distinguished VP Analyst, Gartner

Join this Ask the Expert session to learn more about operationalizing AI and machine learning.

Tuesday, May 04, 2021 / 11:45 AM - 12:15 PM EDT

(03:45 PM - 04:15 PM GMT)

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

Pieter den Hamer, Sr Director Analyst, Gartner

Peter Krensky, Director Analyst, Gartner

Shubhangi Vashisth, Sr Principal 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?

Tuesday, May 04, 2021 / 11:45 AM - 12:30 PM EDT

(03:45 PM - 04:30 PM GMT)

Roundtable: Best Practices for Real-Time Analytics and Continuous Intelligence

W. Roy Schulte, Distinguished VP Analyst, Gartner

Pieter den Hamer, Sr Director Analyst, Gartner

Melissa Davis, Sr Director Analyst, Gartner

David Newman, Leadership Partner, Gartner

Real-time analytics are going mainstream to support time-sensitive customer engagement, supply chain, banking, government and other applications. New technologies and architectures change the job of data and analytics leaders.
What benefits does continuous intelligence bring? How does stream processing differ from conventional analytics and BI? What are best practices for real-time analytics?

Tuesday, May 04, 2021 / 01:15 PM - 02:00 PM EDT

(05:15 PM - 06:00 PM GMT)

Roundtable: What are the Best Practices to Organize for Machine Learning?

Alexander Linden, VP Analyst, Gartner

Carlie Idoine, Sr Director Analyst, Gartner

Svetlana Sicular, VP Analyst, Gartner

Zeyad Azem, Leadership Partner, Gartner

Participants will discuss their challenges in ML into the organization. The discussion can range from organization challenges, platform selection, AI governance, special techniques to advanced cutting edge considerations. *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.

Wednesday, May 05, 2021 / 11:45 AM - 12:15 PM EDT

(03:45 PM - 04:15 PM GMT)

AI Maturity and Why You Need It: How Increasing Your AI Maturity Delivers Repeatable Business Value

Alys Woodward, Sr Director Analyst, Gartner

This session will look at how advancing up the AI maturity curve is beneficial not just for the AI and analytics teams but also to the business and the value delivered from AI and analytics. The session will also describe how organizations can identify their own maturity level and find the next best actions to take to improve maturity.

Wednesday, May 05, 2021 / 11:45 AM - 12:15 PM EDT

(03:45 PM - 04:15 PM GMT)

AI Services in the Cloud — Democratization or Polarization?

Svetlana Sicular, VP Analyst, Gartner

Language, vision and ML cloud services are growing in number, giving organizations easy access to AI without having to build AI models from scratch. But how different or similar these services are? Should you and could you stay with the single cloud provider to take advantage of a familiar environment or go multi-cloud to mix and match best of the breed capabilities?

Wednesday, May 05, 2021 / 01:15 PM - 01:45 PM EDT

(05:15 PM - 05:45 PM GMT)

Boosting Machine Learning with Better Training Data

Farhan Choudhary, Assoc Principal Analyst, Gartner

The lack of training data is one of the biggest showstoppers for machine learning projects. We discuss best practices to remedy that situation: from data synthesis, active learning and crowdsourcing to data pooling and scrutinizing current data collection strategies. Key Topics:

- Why is the lack of training data such a profound problem?
- What are the key methods to remedy this situation?

Wednesday, May 05, 2021 / 02:45 PM - 03:15 PM EDT

(06:45 PM - 07:15 PM GMT)

The Logical Data Warehouse and AI Fit Naturally Together

Henry Cook, Sr Director Analyst, Gartner

The logical data warehouse is now well established as a best practice for suppling data for analytics. Meanwhile, AI and machine learning are now mainstream. There is a natural synergy between them, particularly when the AI is invoked from within the LDW. What is possible? When is this appropriate? What are the advantages? This session explores these topics.

Wednesday, May 05, 2021 / 02:45 PM - 03:15 PM EDT

(06:45 PM - 07:15 PM GMT)

Ask the Expert: What is the Typical Roadmap for AI Adoption?

Svetlana Sicular, VP Analyst, Gartner

Peter Krensky, Director Analyst, Gartner

Be advised about the typical stages of AI adoption to achieve immediate and long-term goals for AI at the correct stages in your AI journey. Collaborate and set the right expectations with business stakeholders in leveraging AI for business value. Minimize risks to the organization, its customers and the ecosystem. *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.

Wednesday, May 05, 2021 / 03:30 PM - 04:00 PM EDT

(07:30 PM - 08:00 PM GMT)

A Five-Step Formula to Pragmatically Implement AI

Erick Brethenoux, VP Analyst, Gartner

Many organizations spend a lot of time, money and political equity trying to define an artificial intelligence (AI) strategy instead of focusing on business problems. Moving from “I want to use AI” to a tactical approach aimed at practically and sustainably solving business problems, while managing expectations, does not require superpowers. CIOs can follow these five steps to pursue an AI strategy in a pragmatic fashion.

Wednesday, May 05, 2021 / 03:30 PM - 04:00 PM EDT

(07:30 PM - 08:00 PM GMT)

The Present and Future of Artificial Intelligence

Whit Andrews, Distinguished VP Analyst, Gartner

The AI-commonplace future has taken many steps closer in the last few years; the means to achieve AI mastery are more familiar; the scale it offers is more valuable; AI now demonstrates its usefulness. Learn how to frame AI's future in your organization's strategy.

Thursday, May 06, 2021 / 11:45 AM - 12:15 PM EDT

(03:45 PM - 04:15 PM GMT)

Engineering Decision Intelligence: Leveraging AI to Streamline Decision Making

Pieter den Hamer, Sr Director Analyst, Gartner

Making ever-faster decisions leveraging a maelstrom of data in ecosystems that are in constant motion, requires an assembly of increasingly complex techniques. To improve the outcome of decision models and accommodate uncertainty factors, organizations combine AI techniques for maximum flexibility, business differentiation & outcomes. Decision intelligence promotes the sustainability of cross-organizational decisions by building models using principles aimed at enhancing their traceability, replicability, relevance and trustworthiness.

Thursday, May 06, 2021 / 11:45 AM - 12:15 PM EDT

(03:45 PM - 04:15 PM GMT)

The Future of Data Science and Machine Learning: Critical Trends You Can't Ignore

Svetlana Sicular, VP Analyst, Gartner

Learn about the current trends influencing the machine learning and data science landscape, including ML automation, MLOps, multi-cloud, synthetic data and open source. Employ emerging practices to manage and govern data science corporate initiatives, and which platforms to choose. We will discuss high-level some complexities and how enterprises can become more effective.

Thursday, May 06, 2021 / 11:45 AM - 12:30 PM EDT

(03:45 PM - 04:30 PM GMT)

Workshop: 7 Habits for Highly Effective Sourcing of Artificial Intelligence (AI) Initiatives

Frances Karamouzis, Distinguished VP Analyst, Gartner

Paul Haskins, Sr Expert Partner, Practice, Gartner

Madhur Hemnani, Director Consulting, Gartner

In 2019, spending on Business & IT Services exceed $30 Billion. All of this spending needs to be properly sourced. Therefore, as you make strategic decisions on AI solutions and how they align to your business objectives, it's important to understand the practical realities of how the platforms, software, and services will be sourced and available to the business. *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.

Thursday, May 06, 2021 / 01:15 PM - 01:45 PM EDT

(05:15 PM - 05:45 PM GMT)

Responsible AI: Drive Carefully, Choose Wisely and Do Wonders With AI

Svetlana Sicular, VP Analyst, Gartner

Responsible AI is one of the hottest topics today. It makes AI a positive force, rather than a threat to the society and to itself. In this session, we will examine the most critical aspects of Responsible AI — accountability, explainability and societal impacts. We will share thought leading ideas of how to drive AI responsibly to increase trust in AI, maintain compliance, protect your reputation and most of all — do wonderful things safely.

Thursday, May 06, 2021 / 02:45 PM - 03:15 PM EDT

(06:45 PM - 07:15 PM GMT)

Myths and Pitfalls of Artificial Intelligence and How to Navigate Them

Alexander Linden, VP Analyst, Gartner

This session summarizes common myths and pitfalls in machine learning that analysts encountered during thousands of client conversations. You will learn best practices of how to interpret and navigate typical misconceptions and mistakes, and how to overcome common ML challenges.

Thursday, May 06, 2021 / 03:30 PM - 04:00 PM EDT

(07:30 PM - 08:00 PM GMT)

AI Talent: Recruiting, Hiring, Organizing, Training and Retaining

Peter Krensky, Director Analyst, Gartner

This session covers trends and best practices around managing and developing not only data scientists, but the entire skills mix necessary to build successful data science teams. Key topics: What are the best practices for attracting and retaining successful AI talent? What are the best options for upskilling, reskilling and education in data science and ML? What are the organizational principles for placing data science teams?

Thursday, May 06, 2021 / 03:30 PM - 04:00 PM EDT

(07:30 PM - 08:00 PM GMT)

Ask the Expert: The Direction of Data, Analytics and Artificial Intelligence

Erick Brethenoux, VP Analyst, Gartner

Svetlana Sicular, VP Analyst, Gartner

Join this Ask the Expert session to learn more about the direction of data, analytics and artificial intelligence.

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