Our Gartner experts, who are at the top of their fields, helped attendees address their most critical challenges. These key topics kickstarted conversations around priorities and initiatives so that attendees could tackle what was most important to them.
Uncertainty and disruption mean data and analytics leaders must build and lead resilient and adaptive organizations to find opportunities in the chaos. Data and analytics strategy must be linked to the business in order to deliver value.
Data and analytics leaders must understand how to operationalize and expand their organizations’ use of data and analytics for the greatest impact without compromising quality, integrity, and trust. This track addresses how to make analytics fundamental to all parts of the business in a trusted way. It discusses the latest trends: data storytelling, augmented analytics, the convergence of analytics and BI and data science, embedded and composable analytics, and continuous and real-time analytics.
Digital acceleration requires that enterprises transition from being data-driven to being data-and-analytics-centric. Visionary leaders know it’s necessary to form a cohesive architecture for future digital success. This track explores how to architect disparate data and analytics capabilities together with a focus on enabling composable technology components.
Operationalizing data science, machine learning and AI is critical to achieving business value. This track explores the technology trends, organizational requirements, skill development and talent needed for successful deployment as well as the business impact of these advanced data and analytics capabilities.
For forward-looking leaders, harnessing innovative technologies is a top priority, necessary to change business models and define new ways to interact with and serve customers, partners, suppliers and employees. This track explores top emerging trends and approaches reshaping business today.
Trust, governance and master data management (MDM) form the foundation of robust data and analytics strategies — for customers, partners and employees. As all forms of analytics permeate the organization, AI in particular, having in place trusted master and application data along with agile data governance practices, processes, frameworks and protocols are critical to the success of data and analytics leaders.
Wednesday, 04 August, 2021 / 11:45 AM - 12:15 PM IST
(02:15 AM - 02:45 AM EDT)
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.
Wednesday, 04 August, 2021 / 01:15 PM - 01:45 PM IST
(03:45 AM - 04:15 AM EDT)
Alan D. Duncan, Distinguished 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?
Wednesday, 04 August, 2021 / 01:15 PM - 01:45 PM IST
(03:45 AM - 04:15 AM EDT)
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.
Wednesday, 04 August, 2021 / 01:15 PM - 02:00 PM IST
(03:45 AM - 04:30 AM EDT)
Ankush Jain, Sr Principal Analyst, Gartner
Guido De Simoni, Sr Director 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.
Wednesday, 04 August, 2021 / 02:45 PM - 03:30 PM IST
(05:15 AM - 06:00 AM EDT)
Alan D. Duncan, Distinguished VP Analyst, 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 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? *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, 05 August, 2021 / 11:45 AM - 12:15 PM IST
(02:15 AM - 02:45 AM EDT)
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, 05 August, 2021 / 01:15 PM - 01:45 PM IST
(03:45 AM - 04:15 AM EDT)
Jorgen Heizenberg, VP 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, 05 August, 2021 / 01:15 PM - 02:00 PM IST
(03:45 AM - 04:30 AM EDT)
David Pidsley, Sr Director Analyst, Gartner
Join this workshop to learn about the art of articulating and quantifying the D&A business value.
Thursday, 05 August, 2021 / 02:45 PM - 03:15 PM IST
(05:15 AM - 05:45 AM EDT)
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.
Wednesday, 04 August, 2021 / 01:15 PM - 01:45 PM IST
(03:45 AM - 04:15 AM EDT)
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, 04 August, 2021 / 02:45 PM - 03:15 PM IST
(05:15 AM - 05:45 AM EDT)
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.
Wednesday, 04 August, 2021 / 03:30 PM - 04:00 PM IST
(06:00 AM - 06:30 AM EDT)
Shubhangi Vashisth, Sr Principal Analyst, Gartner
Organizations collect semi and unstructured data in the form of documents, forms, emails, etc. This session aims to address questions on
1. How to leverage text analytics to derive insights from such data captured both within, and outside of, the organizations?
2. How is the market evolving for intelligent document processing?
3. Vendor landscape in terms of the breadth of solutions available.
Wednesday, 04 August, 2021 / 03:30 PM - 04:00 PM IST
(06:00 AM - 06:30 AM EDT)
Carlie Idoine, VP 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, 05 August, 2021 / 01:15 PM - 01:45 PM IST
(03:45 AM - 04:15 AM EDT)
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, 05 August, 2021 / 02:45 PM - 03:30 PM IST
(05:15 AM - 06:00 AM EDT)
Pieter den Hamer, Sr Director 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 best practices for real-time analytics?
Thursday, 05 August, 2021 / 03:30 PM - 04:00 PM IST
(06:00 AM - 06:30 AM EDT)
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?
Wednesday, 04 August, 2021 / 11:45 AM - 12:15 PM IST
(02:15 AM - 02:45 AM EDT)
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, 04 August, 2021 / 01:15 PM - 01:45 PM IST
(03:45 AM - 04:15 AM EDT)
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?
Wednesday, 04 August, 2021 / 02:45 PM - 03:15 PM IST
(05:15 AM - 05:45 AM EDT)
Guido De Simoni, Sr Director 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.
Wednesday, 04 August, 2021 / 02:45 PM - 03:15 PM IST
(05:15 AM - 05:45 AM EDT)
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
Wednesday, 04 August, 2021 / 03:30 PM - 04:00 PM IST
(06:00 AM - 06:30 AM EDT)
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.
Thursday, 05 August, 2021 / 11:45 AM - 12:15 PM IST
(02:15 AM - 02:45 AM EDT)
Ehtisham Zaidi, Sr Director Analyst, Gartner
Join this Ask the Expert session to learn more about data fabric.
Thursday, 05 August, 2021 / 11:45 AM - 12:15 PM IST
(02:15 AM - 02:45 AM EDT)
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.
Thursday, 05 August, 2021 / 01:15 PM - 01:45 PM IST
(03:45 AM - 04:15 AM EDT)
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. Specifically, it 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?
Thursday, 05 August, 2021 / 01:15 PM - 01:45 PM IST
(03:45 AM - 04:15 AM EDT)
Ehtisham Zaidi, Sr Director 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, data engineering 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.
Thursday, 05 August, 2021 / 02:45 PM - 03:15 PM IST
(05:15 AM - 05:45 AM EDT)
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?
Thursday, 05 August, 2021 / 03:30 PM - 04:00 PM IST
(06:00 AM - 06:30 AM EDT)
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.
Wednesday, 04 August, 2021 / 11:45 AM - 12:15 PM IST
(02:15 AM - 02:45 AM EDT)
Whit Andrews, Distinguished VP 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.
Wednesday, 04 August, 2021 / 11:45 AM - 12:15 PM IST
(02:15 AM - 02:45 AM EDT)
Farhan Choudhary, Principal Analyst, Gartner
Join this Ask the Expert session to learn more about operationalizing AI and machine learning.
Wednesday, 04 August, 2021 / 01:15 PM - 01:45 PM IST
(03:45 AM - 04:15 AM EDT)
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, 04 August, 2021 / 02:45 PM - 03:15 PM IST
(05:15 AM - 05:45 AM EDT)
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, 04 August, 2021 / 02:45 PM - 03:15 PM IST
(05:15 AM - 05:45 AM EDT)
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, 05 August, 2021 / 11:45 AM - 12:15 PM IST
(02:15 AM - 02:45 AM EDT)
Svetlana Sicular, VP Analyst, Gartner
Learn about the current trends influencing the machine learning and data science landscape, including ML augmentation and automation, MLOps and model management, explainability 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, 05 August, 2021 / 01:15 PM - 01:45 PM IST
(03:45 AM - 04:15 AM EDT)
Farhan Choudhary, 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?
Thursday, 05 August, 2021 / 03:30 PM - 04:00 PM IST
(06:00 AM - 06:30 AM EDT)
Alexander Linden, VP Analyst, Gartner
In this session, we discuss various myths and pitfalls of AI — especially around machine learning and discuss best practices of how to navigate/solve them. Key topics:
- What are the top 10 myths in AI?
- What are the top 10 pitfalls in AI?
Thursday, 05 August, 2021 / 03:30 PM - 04:00 PM IST
(06:00 AM - 06:30 AM EDT)
David Norrie, Sr Principal 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, 04 August, 2021 / 03:30 PM - 04:00 PM IST
(06:00 AM - 06:30 AM EDT)
Rita Sallam, Distinguished VP Analyst, Gartner
Donald Feinberg, Distinguished VP Analyst, Gartner
AI is not the only thing driving rapid change in data and analytics. From the next generation of augmented user experiences and beyond, composing and operationalizing data and analytics at scale, engineering decision intelligence, and relating everything, to enabling data and analytics at the edge, there is a rapid evolution in how and where analysis can be deployed. Understanding the business impact of these changes will allow organizations to resource optimize, accelerate change, drive innovation and transform society over the next three years.
Learn how Data and analytics leaders can leverage these trends into “must-have” investments to anticipate, shift and accelerate transformation in the face of disruption, uncertainty and opportunity.
Wednesday, 04 August, 2021 / 03:30 PM - 04:00 PM IST
(06:00 AM - 06:30 AM EDT)
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. Decision design starts 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 intelligence?
Thursday, 05 August, 2021 / 02:45 PM - 03:15 PM IST
(05:15 AM - 05:45 AM EDT)
Ted Friedman, Distinguished VP Analyst, Gartner
IoT holds massive promise for innovation through new business models that monetize data and analytic insight. While it's a huge opportunity for CDOs and their teams, it also puts pressure on existing capabilities due to massive data volumes, fast-moving event streams and new governance challenges. How does the IoT create new opportunities and challenges? What must D&A leaders do to drive adaptation for the IoT? Which new capabilities will be critical to success?
Thursday, 05 August, 2021 / 02:45 PM - 03:15 PM IST
(05:15 AM - 05:45 AM EDT)
Erick Brethenoux, VP Analyst, Gartner
AI engineering brings together various disciplines from across the organization to tame the AI hype while providing a clearer path to value when operationalizing the combination of multiple AI techniques (including ModelOps). AI Engineering also includes responsible AI, dealing with risk, trust, transparency, ethics, fairness, and accountability. A sound AI Engineering practice will increase organizations’ ability to move AI projects beyond pilots and prototypes into production, overcoming fatigue and skepticism, repositioning AI as a transformative and differentiating technology.
Wednesday, 04 August, 2021 / 11:45 AM - 12:15 PM IST
(02:15 AM - 02:45 AM EDT)
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.
Thursday, 05 August, 2021 / 11:45 AM - 12:15 PM IST
(02:15 AM - 02:45 AM EDT)
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 technology and tools; it requires a comprehensive framework with foundational building blocks in metrics, processes, rules and policy, and responsibilities. This presentation introduces 5 must-have foundations for effective data quality programs.
Thursday, 05 August, 2021 / 03:30 PM - 04:00 PM IST
(06:00 AM - 06:30 AM EDT)
Melody Chien, Sr Director Analyst, Gartner
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.
Key issues addressed:
1. What are machine-learning-enabled catalogs?
2. What are the key capabilities for data catalogs?
3. What are the market offerings in this space?
4. How can leaders create a strategy to embed data cataloging?