6 Tracks and 3 Spotlight Tracks to Deliver Data and Analytics Success

Explore a comprehensive agenda that addresses the challenges most critical to data and analytics leaders. Each track has a particular area of focus to help you deliver on what matters most to you and your organization.

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Agenda / Track

Monday, 09 March, 2020 08:30 AM|Monday, 09 March, 2020 09:15 AM

Data-Driven Foundations: Getting Started With Data Literacy and Information as a Second Language

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. 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 March, 2020 02:00 PM|Monday, 09 March, 2020 02:45 PM

The Foundation and Future of Roles and Responsibilities: 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 key roles and responsibilities in data and analytics to be ready for the digital business and the impact on the organization model. 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?

Monday, 09 March, 2020 05:30 PM|Monday, 09 March, 2020 06:00 PM

Use Sports Analytics to Communicate the Value of Business Analytics

Kurt Schlegel, VP Analyst, Gartner

Virtually every major sports league around the world has aggressively adopted data and analytic capabilities to improve the performance of their players and teams, as well as increase revenue and improve the customer experience. These efforts offer Business Analytic leaders a treasure trove of best practices and lessons learned particularly around data story telling. In particular, this 30 minute presentation will cover two key issues:

1) Best Practices: Adopt the analytic best practices pioneered by sports leagues around the world (e.g. quantified self, real time decision making, location intelligence, and forecasting).
2) Communication: Use sports analytics as a way to communicate the value and importance of business analytics.

Tuesday, 10 March, 2020 08:00 AM|Tuesday, 10 March, 2020 08:45 AM

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.

Find out from this session:
- How to implement (the right) D&A capabilities and maximize impact?
- How to leverage a methodical approach for the delivery of new D&A capabilities?

Tuesday, 10 March, 2020 09:00 AM|Tuesday, 10 March, 2020 09:45 AM

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

Jorgen Heizenberg, Sr Director Analyst, Gartner

Data and analytics leaders need external support from system integrators or consulting firm 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: When and why do I need an external D&A service provider? How can I find and select a third-party service provider? How can I manage the relationship?

Tuesday, 10 March, 2020 11:00 AM|Tuesday, 10 March, 2020 11:45 AM

Why the Internet of Things Is the Greatest Opportunity (and Challenge!) for Data and Analytics Leaders

Ted Friedman, Distinguished VP Analyst, Gartner

IoT holds massive promise for innovation through new business models that monetize data and analytic insight. It's a huge opportunity for CDOs and their teams to help their organizations transform.
But it also puts pressure on existing capabilities due to massive data volumes, fast-moving event streams and new governance challenges. How does the IoT create new opportunities and challenges? What must data and analytics leaders do to drive adaptation for the IoT? Which new capabilities will be critical to success?

Wednesday, 11 March, 2020 08:00 AM|Wednesday, 11 March, 2020 08:45 AM

The Foundation of an Effective Data and Analytics Operating Model

Mike Rollings, VP Analyst, Gartner

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

Wednesday, 11 March, 2020 09:00 AM|Wednesday, 11 March, 2020 09:45 AM

Getting Started With Using Data for Good

Carlie Idoine, Sr Director Analyst, Gartner

There is a correlation between successful organizations and organizations with strong Data for Good initiatives. This presentation will answer the questions:
1) Why are Data for Good initiatives important?
2) What does an effective Data for Good initiatives look like?
3) How does an organization get started a data for good initiative?

Wednesday, 11 March, 2020 01:45 PM|Wednesday, 11 March, 2020 02:30 PM

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.

Wednesday, 11 March, 2020 03:30 PM|Wednesday, 11 March, 2020 04:00 PM

Applying Infonomics to Drive Business Value

Alan D. Duncan, VP Analyst, Gartner

Most executives readily admit that their organization mismanages its information assets, particularly compared to how traditional assets are managed. This foundational session will explain the core principles and practices of infonomics that help data and analytics leasers unlock the true business value of their information assets. How to measure the potential and actual value of information assets? How to improve the quality, availability, discoverability and utility of information assets? How to identify opportunities for innovation to become more data-driven?

Monday, 09 March, 2020 04:00 PM|Monday, 09 March, 2020 04:30 PM

5 Steps to Migrate Your Legacy DW&BI to Your New Analytics and Data Science Platform

Pieter den Hamer, Sr Director Analyst, Gartner

Many companies are investing in new platforms to support self service business intelligence, augmented analytics and data science. Once successful, the question becomes how to deal with legacy data warehouses and conventional business intelligence implementations. What is an effective approach to migrate these to the new platform? How to architect and govern this platform for use cases as diverse as reporting and AI?

Tuesday, 10 March, 2020 09:00 AM|Tuesday, 10 March, 2020 09:45 AM

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, 10 March, 2020 11:00 AM|Tuesday, 10 March, 2020 11:45 AM

What You Need to Do About Customer Analytics

Gareth Herschel, VP 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. This session examines:
- What should you be doing already?
- What should you be doing next?
- What should you be planning for?

Tuesday, 10 March, 2020 02:00 PM|Tuesday, 10 March, 2020 02:45 PM

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. Start here first.
- What are the core components of your digital business technology platform?
- Where and in what form does your data and analytics platform drive your digital business success?
- How and where can you start leveraging your data and analytics today?

Tuesday, 10 March, 2020 04:15 PM|Tuesday, 10 March, 2020 05:00 PM

Where and How Master Data Management Adds Value to the Business

Sally Parker, 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?

Tuesday, 10 March, 2020 04:15 PM|Tuesday, 10 March, 2020 05:00 PM

Create a Business Case for Metadata Management to Best Fulfill Your 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 will attract engagement from business stakeholders and demonstrate business value through measurable KPIs for key metadata management initiatives. What are the critical steps that you must address? How do you select relevant metrics? How do you communicate value achieved with stakeholders focus?

Wednesday, 11 March, 2020 09:00 AM|Wednesday, 11 March, 2020 09:45 AM

The Foundation of a Modern Data and Analytics Strategy

Frank Buytendijk, 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 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.

Wednesday, 11 March, 2020 11:00 AM|Wednesday, 11 March, 2020 11:45 AM

Workshop: How to Leverage a Portfolio Approach to Optimizing Value From Data and Analytics Investments

Rita Sallam, Distinguished VP Analyst, Gartner

Data and analytics is becoming strategic to organizations as they digitally transform. Yet, most organizations don’t have a systematic way to assess and optimize their data and analytics (including AI) investment options. This presentation details Gartner's Return Opportunity Appetite Risk (ROAR) Portfolio Optimization Model is a framework to help CDOs, CIOs and data and analytics leaders across the organization identify, prioritize and select combinations of investments in data and analytics (value streams) that align to key business initiatives and strategic intent.

Wednesday, 11 March, 2020 01:45 PM|Wednesday, 11 March, 2020 02:30 PM

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

Jitendra Subramanyam, VP, Team Manager, 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.

Wednesday, 11 March, 2020 03:30 PM|Wednesday, 11 March, 2020 04:00 PM

Less Is More: Streamlining Your Analytics and BI Tool Portfolio

James Richardson, Sr Director Analyst, Gartner

Many organizations use multiple analytics and BI products. Data and analytics leaders must review and work to reduce their portfolio of tools by identifying areas of redundant practice and technology overlap. This will free them to meet evolving analytics needs and realize economies of scale. This session will cover:

● Establishing and modelling your analytics and BI portfolio.

● Streamlining your A&BI estate to support innovation.

● Actively managing a portfolio of tools and using analytic catalogs.

Wednesday, 11 March, 2020 03:30 PM|Wednesday, 11 March, 2020 04:00 PM

How to Organize for Innovation With Data and Analytics and 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 artificial intelligence 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 for AI- and data-driven innovation.

Key issues: How to coordinate AI innovation initiatives with other data and analytics activities? How to set up an D&A and AI innovation lab and Center of Excellence (CoE) including roles and skills? How to scale up from prototypes and pilots to production.

Monday, 09 March, 2020 02:00 PM|Monday, 09 March, 2020 02:45 PM

Disruption in Decision Management Technology and Practice

W. Roy Schulte, Distinguished VP Analyst, Gartner

Companies are transforming the way they make business decisions by using combinations of machine learning, business rules and optimization. Decisions are designed from a business point of view. End users play a big role in authoring rules and analytics.
What are the key product innovations?
How are decision models different from analytical models?
What are best practices for decision management?

Monday, 09 March, 2020 04:00 PM|Monday, 09 March, 2020 04:30 PM

Take 5: Actions to Improve Your Data and Analytics Risk Culture

Saul Judah, VP Analyst, Gartner

A data-driven culture is key to the success of data and analytics teams. But unless your culture is risk-aware, your investments in data and analytics are exposed to greater risk. This session will discuss why a risk-aware culture will help data and analytics leaders deliver better business value, and five actions they can take to improve their data and analytics risk culture.

Monday, 09 March, 2020 05:30 PM|Monday, 09 March, 2020 06:00 PM

Give Up Being in Control! How to Overcome the Limits of Conventional Data Management Wisdom

Ted Friedman, Distinguished VP Analyst, Gartner

Consider taking the viewpoint that because data is increasingly distributed, changing constantly and touched by so many entities, controlling it is simply impossible. And that aiming for structure, standardization and zero technical debt in data management brings sub-optimal value.
● Why is striving for precise management of data a fool's errand?
● How can you create more value by accepting disorder in data?
● What specific actions are required to stay "safe" amid data chaos?

Tuesday, 10 March, 2020 08:00 AM|Tuesday, 10 March, 2020 08:45 AM

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.

Wednesday, 11 March, 2020 08:00 AM|Wednesday, 11 March, 2020 08:45 AM

Augmented Data Catalogs: Now an Enterprise Must-Have for Data and Analytics Leaders

Ehtisham Zaidi, Sr Director Analyst, Gartner

This session addresses how data and analytics leaders can investigate and adopts modern ML-enabled data catalogs to inventory distributed and often siloed data assets as a first step in enabling new data management, analytics and data science use cases.

Key issues addressed:
1. What are machine-learning-enabled catalogs and how are they different from previous IT led metadata management projects?
2. What are the key capabilities, use cases and user persona for data catalogs?
3. What are the market offerings in this space, their various segments and which offering would make sense according to your existing use- case requirements?
4. How can data and analytics leaders create a wholesome strategy to embed data cataloging into their data management infrastructure?

Wednesday, 11 March, 2020 09:00 AM|Wednesday, 11 March, 2020 09:45 AM

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

Austin Kronz, 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, 11 March, 2020 11:00 AM|Wednesday, 11 March, 2020 11:45 AM

Rewiring Data Governance to include Applications, Multicloud and Data Lakes

Mark Beyer, Distinguished VP Analyst, Gartner

Organizations constantly find that data needs to be reused but cannot do it. Conflicting data governance approaches become worse in a multicloud environment. Find out about:
1. What did we forget we knew and then forget to do and need to fix?
2. Can augmented data management help us recover and evolve our data culture?
3. Where does governance go in a highly distributed information architecture?

Wednesday, 11 March, 2020 01:45 PM|Wednesday, 11 March, 2020 02:30 PM

Blockchain for Data Management: Making the World's Worst Database Work for You

Nick Heudecker, VP Analyst, Gartner

Blockchain's data provenance features and trusted interactions could change how data is controlled, shared and governed. Although big technological hurdles remain, innovative data management opportunities are emerging. It's time for data and analytics leaders to start experimenting. This session explores:
● How does blockchain compare to today's databases?
● How might blockchain disrupt your data management program?
● What is the maturity level of data management on blockchain, and where should you begin?

Wednesday, 11 March, 2020 02:45 PM|Wednesday, 11 March, 2020 03:30 PM

Digital Ethics: The Age of Artificial Intelligence

Frank Buytendijk, Distinguished VP Analyst, Gartner

Digital Ethics is at the peak of the hype. Many executives worry about the unintended consequences of the use of data and technology, particularly concerning AI. What are the latest developments in digital ethics? Which ethical principles are the most commonly cited around AI? How do we build a value system into AI systems?

Monday, 09 March, 2020 02:00 PM|Monday, 09 March, 2020 02:45 PM

The Foundation of Modern Analytics and BI

Afraz Jaffri, Director 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.

Monday, 09 March, 2020 04:00 PM|Monday, 09 March, 2020 04:30 PM

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?

Tuesday, 10 March, 2020 08:00 AM|Tuesday, 10 March, 2020 08:45 AM

The Future of Data and Analytics: How Augmented Analytics Will Transform Your Organization

Rita Sallam, Distinguished VP Analyst, Gartner

Augmented analytics is a disruptive trend that leverages machine automation and AI to transform how data is prepared, how insights are generated and shared and how data science and ML models are created and operationalized. This presentation provides an overview of the key trend and how you need to fully leverage it in your organization.

Tuesday, 10 March, 2020 09:00 AM|Tuesday, 10 March, 2020 09:45 AM

Implementing Augmented Data Science and Machine Learning: Four Real-World Case Studies

Carlie Idoine, Sr Director Analyst, Gartner

Augmented data science not only gives citizen data scientists (non-experts) access to data science and machine learning capabilities. It also increases efficiency of the experts. Augmentation is about extension, not replacement. This presentation will demonstrated how to leverage augmented DSML via case studies where augmented data science is having a measurable business impact.

Tuesday, 10 March, 2020 11:00 AM|Tuesday, 10 March, 2020 11:45 AM

Deliver Critical Capabilities for the Augmented Era of Analytics

Kurt Schlegel, VP Analyst, Gartner

This presentation will leverage the Critical Capabilities to describe which analytics capabilities organizations should consider provisioning to deliver a more augmented user experience.

Tuesday, 10 March, 2020 02:00 PM|Tuesday, 10 March, 2020 02:45 PM

Five Best Practices for Real-Time Analytics and Continuous Intelligence

W. Roy Schulte, Distinguished VP Analyst, 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 five best practices for real-time analytics?

Tuesday, 10 March, 2020 05:30 PM|Tuesday, 10 March, 2020 06:00 PM

Magic Quadrant for Analytics and BI and Data Science and ML

James Richardson, Sr Director Analyst, Gartner

Peter Krensky, Director Analyst, Gartner

This magic quadrant session discuss key trends and will highlight the results of the Analytics and BI and Data Science and ML magic quadrants.

Wednesday, 11 March, 2020 08:00 AM|Wednesday, 11 March, 2020 08:45 AM

Enable, Expand and Evolve Your Self-Service Analytics Initiative

Joao Tapadinhas, VP Analyst, Gartner

Self-service analytics is a balancing act between user autonomy and centralized governance that many organizations struggle to deliver. Learn practical steps to drive your self-service initiative from inception to mastery.

Learn how to:
- Enable self-service analytics with autonomy and governance
- Expand the audience, data volumes and analytics complexity
- Evolve to new use cases with greater business impact

Wednesday, 11 March, 2020 09:00 AM|Wednesday, 11 March, 2020 09:45 AM

Architecting for Immersive Analytics

Marty Resnick, Sr Director Analyst, Gartner

Immersive analytics provides an engaging, collaborative and 3D visual interface for data analysis to serve new analytics use cases using augmented reality (AR), mixed reality (MR) and virtual reality (VR) technologies and techniques. This session will discuss how organizations will use immersive analytics to provide data storytelling and empowering decision makers.

Wednesday, 11 March, 2020 01:45 PM|Wednesday, 11 March, 2020 02:30 PM

Top Technology Trends in Data and Analytics That Will Change Your Business

Donald Feinberg, Distinguished VP Analyst, Gartner

Rita Sallam, Distinguished VP Analyst, Gartner

AI is not the only thing driving rapid change in data and analytics. From the next generation of augmented analytics tools to the use of continuous intelligence to interpret streams of data from IoT or the potential of intuitive interfaces, there is rapid evolution in how and where analysis can be deployed. Understanding the business impact of these changes will allow organizations to prioritize the innovations that will drive digital business.

Wednesday, 11 March, 2020 02:45 PM|Wednesday, 11 March, 2020 03:15 PM

Connecting the Dots: Why Relationship Analytics are Key to Understanding Human and Machine Misbehavior

Melissa Davis, Sr Director Analyst, Gartner

Relationship analytics uses combination social, location, and graph analytics to provide business analysts and investigators a more holistic understanding of people, places, and things. In this session, we discuss the types of questions that can be answered when analyzing relationship data compared to traditional analytics. A must-attend session if you need to understand human or machine behaviors.

Monday, 09 March, 2020 08:30 AM|Monday, 09 March, 2020 09:15 AM

MDM: The Foundation and Futures of Master Data Management

Simon Walker, Sr Principal 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 March, 2020 02:00 PM|Monday, 09 March, 2020 02:45 PM

Cloud Is the Future of Data Infrastructure

Donald Feinberg, Distinguished VP Analyst, Gartner

Data is the core asset of all organizations. Enabling the use of data across the enterprise and outside the organization has become an imperative. The database management market is undergoing a rapid and profound transition to the cloud, as the supporting technology is changing. Cloud and dbPaaS has become the platform of choice and pricing models are under pressure from both open-source and the cloud.
What is driving the data infrastructure transformation to new technologies, cloud platforms and cost models?
How are existing technologies changing and what new technologies are emerging to support this transformation?
What are the vendors doing to address the shift to the cloud and how will the market evolve?

Monday, 09 March, 2020 04:00 PM|Monday, 09 March, 2020 04:30 PM

Driving Analytics Success With Data Engineering

Robert Thanaraj, Sr Principal Analyst, Gartner

The intense focus on data scientists has distracted organizations from an essential element of their analytics success — the delivery of quality data ready for analysis. This session explores the role of the data engineer and how it contrasts with the data scientist. It also discusses the required skills and organization. Specifically, this session covers:


● What do data engineers do, anyway?

● What are the necessary data engineering skills?

● Where do data engineers fit in your data and analytics program?

Tuesday, 10 March, 2020 08:00 AM|Tuesday, 10 March, 2020 08:45 AM

Data Management in a Multicloud and Intercloud World — Embrace the Inevitable!

Rick Greenwald, Sr Director Analyst, Gartner

The increased adoption of multicloud and intercloud deployments in support of data management solutions has important implications for data and analytics strategies. Data and analytics leaders must prepare for these impacts now, to ensure optimal use of cloud resources. How can you leverage the new cloud ecosystems effectively? What are the trade-offs between choice and the complexity it entails?

Tuesday, 10 March, 2020 09:00 AM|Tuesday, 10 March, 2020 09:45 AM

Stream Processing: The New Data Processing Paradigm

Sumit Pal, Sr Director Analyst, Gartner

Digital businesses must use stream processing to meet their needs for continuous intelligence and real-time analytics. This session helps technical professionals implement stream processing architectures for data integration, event processing and analytics.

Tuesday, 10 March, 2020 11:00 AM|Tuesday, 10 March, 2020 11:45 AM

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

Ehtisham Zaidi, Sr Director Analyst, Gartner

Data and analytics leaders are often tasked to investigate, adopt and later integrate a huge number of data management "point solutions" and tools for their operational and analytical use case requirements. This often leads to redundant purchases, integration challenges and derailed projects. Convergence in data integration, data quality, data preparation, data cataloging and other tools is paving a way for a core active metadata informed and ML-enabled dynamic data fabric design that can potentially transform data management and integration. This session covers:
1. What does a data fabric architecture mean for data and analytics leaders and how can they enable it?
2. What are the vendors and market offerings that can potentially fast track a data fabric design?
3. How can data and analytics leaders enable a data fabric without disrupting existing architectures and without creating a governance chaos?

Tuesday, 10 March, 2020 02:00 PM|Tuesday, 10 March, 2020 02:45 PM

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. Gartner ties together governance, management, quality, integration and more, to reveal a distributed integration approach that releases data from the tyranny of location.

Wednesday, 11 March, 2020 08:00 AM|Wednesday, 11 March, 2020 08:45 AM

Is It Time? Master Data Management in the Cloud

Sally Parker, Sr Director Analyst, Gartner

Whilst much of the software market has marched towards the cloud, master data management has been slow to follow pace. With vendor offerings remaining distributed across on premises, hybrid and cloud, when is the right time to commit to a cloud based MDM strategy? This session explores the MDM cloud landscape and the pros and cons of strategy options.

Wednesday, 11 March, 2020 09:00 AM|Wednesday, 11 March, 2020 09:45 AM

Designing Scalable ML Architectures to Deliver AI-Based Systems

Soyeb Barot, 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 alongside operationalizing the MLDLC (machine learning development lifecycle) and the implementation strategy for architecture to deliver AI-Based systems.

Wednesday, 11 March, 2020 11:00 AM|Wednesday, 11 March, 2020 11:45 AM

The Future of Data and Analytics Is Cloud!

Adam Ronthal, Sr Director Analyst, Gartner

The new data and analytics platform is the cloud. Cloud service providers and independent software vendors are providing the basis for a new cloud based ecosystem. 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.

Wednesday, 11 March, 2020 11:00 AM|Wednesday, 11 March, 2020 11:45 AM

How to Build a Data Lake Architecture

Sumit Pal, Sr Director Analyst, Gartner

How to think about Data Lakes, Why Data Lakes are making a comeback and how to build one successfully.
In this session, you’ll learn:

● Current state of Data Lake Architectures

● Data Lake Components

● How to build Data Lakes Successfully

Wednesday, 11 March, 2020 01:45 PM|Wednesday, 11 March, 2020 02:30 PM

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 D&A capabilities deployment based on required business outcomes
- Design the implementation roadmap for a comprehensive data and analytics ecosystem

Wednesday, 11 March, 2020 02:45 PM|Wednesday, 11 March, 2020 03:15 PM

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

Ted Friedman, Distinguished VP 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. This session explains:
● 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?

Wednesday, 11 March, 2020 02:45 PM|Wednesday, 11 March, 2020 03:15 PM

Magic Quadrant for Data Management

Simon Walker, Sr Principal Analyst, Gartner

Ehtisham Zaidi, Sr Director Analyst, Gartner

This magic quadrant session discuss key trends and will highlight the results of the Data Integration and Master Data Management (MDM) magic quadrants.

Wednesday, 11 March, 2020 03:30 PM|Wednesday, 11 March, 2020 04:00 PM

How to Avoid Data Lake Failures

Nick Heudecker, 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?

Monday, 09 March, 2020 02:00 PM|Monday, 09 March, 2020 02:45 PM

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

Peter Krensky, Director Analyst, Gartner

This session will cover trends and best practices around managing and developing not only data scientists, but the entire skills mix necessary to build successful data science teams: Data engineers, developers, machine learning specialists and domain experts. 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 machine learning? What are the organizational principles for placing data science teams?

Monday, 09 March, 2020 05:30 PM|Monday, 09 March, 2020 06:00 PM

Boosting Machine Learning With Better Training Data

Alexander Linden, VP Analyst, Gartner

The lack of training data is one 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.

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

Tuesday, 10 March, 2020 08:00 AM|Tuesday, 10 March, 2020 08:45 AM

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

Peter Krensky, Director Analyst, Gartner

This session will provide a high-level introduction to data science and machine learning and their proper function in a data-driven organization. Content will include hype vs. reality, key trends, proven use cases and an overview of leading technologies. How do data science and machine learning fit within both the organization’s analytics and AI strategies? What are the early steps data and analytics leaders should take to invest in data science and machine learning? What do successful data science and machine learning initiatives look like?

Tuesday, 10 March, 2020 09:00 AM|Tuesday, 10 March, 2020 09:45 AM

Myths and Pitfalls of Artificial Intelligence and How to Navigate Them

Alexander Linden, VP Analyst, Gartner

We discuss various myths & pitfalls of AI - especially around machine learning and discuss best practices of how to navigate/ solve them. Find out what are the top 10 myths and the top 10 pitfalls in AI?

Tuesday, 10 March, 2020 11:00 AM|Tuesday, 10 March, 2020 11:45 AM

A 5 Steps Formula to Pragmatically Implement AI

Erick Brethenoux, Sr Director 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.

Tuesday, 10 March, 2020 02:00 PM|Tuesday, 10 March, 2020 02:45 PM

Implementing an Open Source Enterprise Machine Learning Stack

Sumit Agarwal, Sr Director Analyst, Gartner

Open source is the foundation of most data science and machine learning solution innovations, and almost all ML commercial platforms leverage open source technologies. Yet, many organizations ask questions such as:
- How capable is an enterprise scale open source ML stack that can support end to end use cases?
- What are the key considerations for selecting open source ML?
- How would I get support for the open source components?
This session offers solutions and the way forward for implementation of an open source ML stack

Tuesday, 10 March, 2020 05:15 PM|Tuesday, 10 March, 2020 05:45 PM

Graph Techniques — An Old Revolutionary Concept for Modern Data Science

Erick Brethenoux, Sr Director Analyst, Gartner

Graph techniques have been around for decades, but in the last year, the application of graph processing and graph databases have been continuously accelerating to enable more complex and adaptive data science. Knowledge graphs and semantic networks are capturing essential business relationships between logical concepts and entities such as organizations, people and transactions; while enabling critical business discoveries.

Wednesday, 11 March, 2020 08:00 AM|Wednesday, 11 March, 2020 08:45 AM

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

Pieter den Hamer, Sr Director Analyst, Gartner

This high-level presentation will describe the current trends influencing the machine learning and data science landscape: including augmented analytics, MLOps, managing and governing data science corporate initiatives, and which platforms to choose. We discuss high-level some of the myths, and complexities and how enterprises can become more effective.

Wednesday, 11 March, 2020 09:00 AM|Wednesday, 11 March, 2020 09:45 AM

Augmented Analytics and MLOps: The Coming Challenges and Opportunities

Peter Krensky, Director Analyst, Gartner

This session will highlight two of the biggest trends in data science and their interconnectivity. Augmented analytics are accelerating the growth of model volume and bringing machine learning everywhere in the organization. This creates exciting opportunities to empower data science professionals but also significant challenges around the ongoing operationalization of machine learning. How do I properly balance the ambition of augmented analytics investments with the demands of MLOps? How do the various tools and people involved work together? What does successful augmented analytics look like and what are the pitfalls to avoid?

Wednesday, 11 March, 2020 11:00 AM|Wednesday, 11 March, 2020 11:45 AM

Exploiting the Symbiotic Nature of Content and Artificial Intelligence

Michael Woodbridge, Sr Director Analyst, Gartner

Unstructured information in the form of content has a special relationship with machine learning technologies. Vast repositories of content provide a pipeline of organization specific insight to fuel AI programs. Additionally, content and it’s related processes are enhanced and ordered by AI. This session will provide guidance on how to organize content for and reaping the benefits of AI initiatives.

Wednesday, 11 March, 2020 01:45 PM|Wednesday, 11 March, 2020 02:30 PM

Drive Data Scientist Productivity With Data Wrangling Techniques

Sumit Agarwal, Sr Director Analyst, Gartner

Anywhere 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 in the project implementation timelines, as well as impact the model output quality and fairness in decision making.
This session provides various techniques such as using specialized tools, crowd-sourcing, simulations and synthetic data creation, and use of generative adversarial networks (GANs) to substantially improve the model build process using wide variety of data such as transactional, text, images, videos, speech etc.

Wednesday, 11 March, 2020 02:45 PM|Wednesday, 11 March, 2020 03:15 PM

Augmented Data Management Forges a New Alliance Between Human and Artificial Intelligence

Donald Feinberg, Distinguished VP Analyst, Gartner

Struggling to keep up with challenges to optimally connect and orchestrate data — across ecosystems, platforms and "things”, data management teams increasingly turn to AI techniques to power highly adaptive data management infrastructure. What challenges are creating a need for AI in data management? How will AI impact data management? How will AI augmentation enhance data management infrastructure?

Wednesday, 11 March, 2020 03:30 PM|Wednesday, 11 March, 2020 04:00 PM

The Present and Future of Artificial Intelligence

Erick Brethenoux, Sr Director Analyst, Gartner

Artificial intelligence adoption has entered the mainstream, but most organizations are at the earliest stages and still developing their strategy and governance. Get a sense of where you stand and where the industry will progress.

Monday, 09 March, 2020 04:00 PM|Monday, 09 March, 2020 04:30 PM

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?

Tuesday, 10 March, 2020 08:00 AM|Tuesday, 10 March, 2020 08:45 AM

Data Management in a Multicloud and Intercloud World — Embrace the Inevitable!

Rick Greenwald, Sr Director Analyst, Gartner

The increased adoption of multicloud and intercloud deployments in support of data management solutions has important implications for data and analytics strategies. Data and analytics leaders must prepare for these impacts now, to ensure optimal use of cloud resources. How can you leverage the new cloud ecosystems effectively? What are the trade-offs between choice and the complexity it entails?

Tuesday, 10 March, 2020 11:00 AM|Tuesday, 10 March, 2020 11:45 AM

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

Ehtisham Zaidi, Sr Director Analyst, Gartner

Data and analytics leaders are often tasked to investigate, adopt and later integrate a huge number of data management "point solutions" and tools for their operational and analytical use case requirements. This often leads to redundant purchases, integration challenges and derailed projects. Convergence in data integration, data quality, data preparation, data cataloging and other tools is paving a way for a core active metadata informed and ML-enabled dynamic data fabric design that can potentially transform data management and integration. This session covers:
1. What does a data fabric architecture mean for data and analytics leaders and how can they enable it?
2. What are the vendors and market offerings that can potentially fast track a data fabric design?
3. How can data and analytics leaders enable a data fabric without disrupting existing architectures and without creating a governance chaos?

Tuesday, 10 March, 2020 05:15 PM|Tuesday, 10 March, 2020 05:45 PM

Graph Techniques — An Old Revolutionary Concept for Modern Data Science

Erick Brethenoux, Sr Director Analyst, Gartner

Graph techniques have been around for decades, but in the last year, the application of graph processing and graph databases have been continuously accelerating to enable more complex and adaptive data science. Knowledge graphs and semantic networks are capturing essential business relationships between logical concepts and entities such as organizations, people and transactions; while enabling critical business discoveries.

Wednesday, 11 March, 2020 09:00 AM|Wednesday, 11 March, 2020 09:45 AM

Architecting for Immersive Analytics

Marty Resnick, Sr Director Analyst, Gartner

Immersive analytics provides an engaging, collaborative and 3D visual interface for data analysis to serve new analytics use cases using augmented reality (AR), mixed reality (MR) and virtual reality (VR) technologies and techniques. This session will discuss how organizations will use immersive analytics to provide data storytelling and empowering decision makers.

Wednesday, 11 March, 2020 09:00 AM|Wednesday, 11 March, 2020 09:45 AM

Augmented Analytics and MLOps: The Coming Challenges and Opportunities

Peter Krensky, Director Analyst, Gartner

This session will highlight two of the biggest trends in data science and their interconnectivity. Augmented analytics are accelerating the growth of model volume and bringing machine learning everywhere in the organization. This creates exciting opportunities to empower data science professionals but also significant challenges around the ongoing operationalization of machine learning. How do I properly balance the ambition of augmented analytics investments with the demands of MLOps? How do the various tools and people involved work together? What does successful augmented analytics look like and what are the pitfalls to avoid?

Wednesday, 11 March, 2020 02:45 PM|Wednesday, 11 March, 2020 03:15 PM

Augmented Data Management Forges a New Alliance Between Human and Artificial Intelligence

Donald Feinberg, Distinguished VP Analyst, Gartner

Struggling to keep up with challenges to optimally connect and orchestrate data — across ecosystems, platforms and "things”, data management teams increasingly turn to AI techniques to power highly adaptive data management infrastructure. What challenges are creating a need for AI in data management? How will AI impact data management? How will AI augmentation enhance data management infrastructure?

Wednesday, 11 March, 2020 02:45 PM|Wednesday, 11 March, 2020 03:15 PM

Connecting the Dots: Why Relationship Analytics are Key to Understanding Human and Machine Misbehavior

Melissa Davis, Sr Director Analyst, Gartner

Relationship analytics uses combination social, location, and graph analytics to provide business analysts and investigators a more holistic understanding of people, places, and things. In this session, we discuss the types of questions that can be answered when analyzing relationship data compared to traditional analytics. A must-attend session if you need to understand human or machine behaviors.

Monday, 09 March, 2020 08:30 AM|Monday, 09 March, 2020 09:15 AM

MDM: The Foundation and Futures of Master Data Management

Simon Walker, Sr Principal 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 March, 2020 04:15 PM|Tuesday, 10 March, 2020 05:00 PM

Where and How Master Data Management Adds Value to the Business

Sally Parker, 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?

Wednesday, 11 March, 2020 08:00 AM|Wednesday, 11 March, 2020 08:45 AM

Is It Time? Master Data Management in the Cloud

Sally Parker, Sr Director Analyst, Gartner

Whilst much of the software market has marched towards the cloud, master data management has been slow to follow pace. With vendor offerings remaining distributed across on premises, hybrid and cloud, when is the right time to commit to a cloud based MDM strategy? This session explores the MDM cloud landscape and the pros and cons of strategy options.

Wednesday, 11 March, 2020 11:00 AM|Wednesday, 11 March, 2020 11:45 AM

Rewiring Data Governance to include Applications, Multicloud and Data Lakes

Mark Beyer, Distinguished VP Analyst, Gartner

Organizations constantly find that data needs to be reused but cannot do it. Conflicting data governance approaches become worse in a multicloud environment. Find out about:
1. What did we forget we knew and then forget to do and need to fix?
2. Can augmented data management help us recover and evolve our data culture?
3. Where does governance go in a highly distributed information architecture?

Wednesday, 11 March, 2020 02:45 PM|Wednesday, 11 March, 2020 03:15 PM

Magic Quadrant for Data Management

Simon Walker, Sr Principal Analyst, Gartner

Ehtisham Zaidi, Sr Director Analyst, Gartner

This magic quadrant session discuss key trends and will highlight the results of the Data Integration and Master Data Management (MDM) magic quadrants.

Tuesday, 10 March, 2020 09:00 AM|Tuesday, 10 March, 2020 09:45 AM

Stream Processing: The New Data Processing Paradigm

Sumit Pal, Sr Director Analyst, Gartner

Digital businesses must use stream processing to meet their needs for continuous intelligence and real-time analytics. This session helps technical professionals implement stream processing architectures for data integration, event processing and analytics.

Tuesday, 10 March, 2020 02:00 PM|Tuesday, 10 March, 2020 02:45 PM

Implementing an Open Source Enterprise Machine Learning Stack

Sumit Agarwal, Sr Director Analyst, Gartner

Open source is the foundation of most data science and machine learning solution innovations, and almost all ML commercial platforms leverage open source technologies. Yet, many organizations ask questions such as:
- How capable is an enterprise scale open source ML stack that can support end to end use cases?
- What are the key considerations for selecting open source ML?
- How would I get support for the open source components?
This session offers solutions and the way forward for implementation of an open source ML stack

Wednesday, 11 March, 2020 09:00 AM|Wednesday, 11 March, 2020 09:45 AM

Designing Scalable ML Architectures to Deliver AI-Based Systems

Soyeb Barot, 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 alongside operationalizing the MLDLC (machine learning development lifecycle) and the implementation strategy for architecture to deliver AI-Based systems.

Wednesday, 11 March, 2020 11:00 AM|Wednesday, 11 March, 2020 11:45 AM

How to Build a Data Lake Architecture

Sumit Pal, Sr Director Analyst, Gartner

How to think about Data Lakes, Why Data Lakes are making a comeback and how to build one successfully.
In this session, you’ll learn:

● Current state of Data Lake Architectures

● Data Lake Components

● How to build Data Lakes Successfully

Wednesday, 11 March, 2020 01:45 PM|Wednesday, 11 March, 2020 02:30 PM

Drive Data Scientist Productivity With Data Wrangling Techniques

Sumit Agarwal, Sr Director Analyst, Gartner

Anywhere 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 in the project implementation timelines, as well as impact the model output quality and fairness in decision making.
This session provides various techniques such as using specialized tools, crowd-sourcing, simulations and synthetic data creation, and use of generative adversarial networks (GANs) to substantially improve the model build process using wide variety of data such as transactional, text, images, videos, speech etc.

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