While we build the 2022 agenda, explore last year's tracks built upon our latest research that addressed the challenges most critical to data and analytics leaders. These key topics kickstarted conversations around priorities and initiatives so that attendees could tackle what was most important to them.
2021 topic highlights
Data and Analytics Everywhere
Data and analytics are no longer peripheral to the business. They are even more important in times of disruption and uncertainty. They are core to how organizations serve and delight their customers, optimize business processes and reduce risk, digitally accelerate, and supply the foundation for new transformational business models and revenue streams.
Leadership, Skills, Culture and Value Management
Uncertainty and disruption mean data analytics leaders must build and lead resilient and adaptive organizations to find opportunity in the chaos. The data and analytics strategy must be linked to the business in order to deliver value.
Composable Data and Analytics
Dramatic changes in business imperatives mean that organizations must be more nimble in their response than ever before. The data and analytics platform of the future will leverage data and analytics ecosystems and components to compose and recompose intelligent, AI-infused applications.
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A look back at 2021's agenda
Wednesday, 04 August, 2021 / 12:30 PM - 12:50 PM IST
(03:00 AM - 03:20 AM EDT)
Altair: Leading the Convergence Revolution to Accelerate Your Digital Transformation
James Scapa, CEO, Altair
As the pace of innovation accelerates, Altair is driving the future of smart, connected everything through the convergence of simulation, HPC, and AI solutions. Join Founder, Chairman, and Chief Executive Officer James Scapa to explore what he’s learned over more than 35 years assembling the right team and technologies to deliver this convergence and why it’s the key to unlocking your data potential and accelerating your digital transformation.
Wednesday, 04 August, 2021 / 12:30 PM - 12:50 PM IST
(03:00 AM - 03:20 AM EDT)
Denodo: Enabling Data Democratization at BNY Mellon with Data Virtualization
BNY Mellon, a global investment company and one of the oldest financial institutions that prides itself to power the success across the financial world for individuals and institutions through unique insights, thinking and actions, wanted to create an enterprise data platform (EDP). The EDP provides a massive analytics and reporting platform, enabling us to generate actionable insights to improve processes and business performance.
Wednesday, 04 August, 2021 / 01:15 PM - 01:45 PM IST
(03:45 AM - 04:15 AM EDT)
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, 04 August, 2021 / 03:30 PM - 04:00 PM IST
(06:00 AM - 06:30 AM EDT)
Ask the Expert: Unlock the Hidden Value of Semi and Unstructured Data Through Natural Language Technologies
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)
Disruption in Decision Intelligence 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. 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 / 03:30 PM - 04:00 PM IST
(06:00 AM - 06:30 AM EDT)
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?
Wednesday, 04 August, 2021 / 11:45 AM - 12:15 PM IST
(02:15 AM - 02:45 AM EDT)
The Present and Future of Artificial Intelligence
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)
Ask the Expert: Operationalizing AI and Machine Learning — Best Practices and Lessons Learned
Farhan Choudhary, Principal Analyst, Gartner
Join this Ask the Expert session to learn more about operationalizing AI and machine learning.
Wednesday, 04 August, 2021 / 12:30 PM - 12:50 PM IST
(03:00 AM - 03:20 AM EDT)
Altair: Leading the Convergence Revolution to Accelerate Your Digital Transformation
James Scapa, CEO, Altair
As the pace of innovation accelerates, Altair is driving the future of smart, connected everything through the convergence of simulation, HPC, and AI solutions. Join Founder, Chairman, and Chief Executive Officer James Scapa to explore what he’s learned over more than 35 years assembling the right team and technologies to deliver this convergence and why it’s the key to unlocking your data potential and accelerating your digital transformation.
Wednesday, 04 August, 2021 / 12:30 PM - 01:15 PM IST
(03:00 AM - 03:45 AM EDT)
Roundtable: Putting AI To Work - Operationalize AI Throughout Your Business, moderated by IBM
Kiran Challapalli, Client Solution Architect, Data & AI,
Sameer Vaishampayan, Consultant, IBM Corporation
Successful organisations are moving beyond just testing and experimenting proofs of concept for AI. There is a 33% increase over the past two years in organisations that have moved beyond the pilot phase of their AI investments. Yet for every successful AI project, there are many that fail to reach widespread adoption in the business and achieve their expected outcomes.
Wednesday, 04 August, 2021 / 02:00 PM - 02:20 PM IST
(04:30 AM - 04:50 AM EDT)
IBM: Build Resiliency and Thrive in the Face of Uncertainty
How does your organization remain resilient and thrive in world that’s constantly changing? To adapt, you need to make smarter decisions. Intelligent composable businesses use AI to make decisions informed by data, and adapt to act on those decisions in near real time. AI for business will enable you to drive outcomes that are timely, relevant and contextual. In this session you’ll hear how companies are putting AI to work to drive outcomes.
Wednesday, 04 August, 2021 / 02:45 PM - 03:15 PM IST
(05:15 AM - 05:45 AM EDT)
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.
Thursday, 05 August, 2021 / 02:45 PM - 03:15 PM IST
(05:15 AM - 05:45 AM EDT)
AI Engineering: How to Propel AI From Prototypes to Scalable Value Generators
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.
Thursday, 05 August, 2021 / 02:45 PM - 03:30 PM IST
(05:15 AM - 06:00 AM EDT)
Roundtable: Best Practices for Real-Time Analytics and Continuous Intelligence
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 / 04:15 PM - 05:45 PM IST
(06:45 AM - 08:15 AM EDT)
CDO Circle Research Discussion: Governing AI for Value
Jitendra Subramanyam, VP, Team Manager, Gartner
How do D&A leaders manage AI models at scale? This session is a mix of case studies from leading practitioners and facilitated peer interaction, illuminates the journey from pilot to production. We showcase how practitioners are rewriting the rules of governing AI models.
Wednesday, 04 August, 2021 / 02:45 PM - 03:15 PM IST
(05:15 AM - 05:45 AM EDT)
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?
Wednesday, 04 August, 2021 / 02:45 PM - 03:30 PM IST
(05:15 AM - 06:00 AM EDT)
Roundtable: Getting Started with Data Literacy and Information as a Second Language
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.
Wednesday, 04 August, 2021 / 11:00 AM - 11:30 AM IST
(01:30 AM - 02:00 AM EDT)
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.
Wednesday, 04 August, 2021 / 01:15 PM - 01:45 PM IST
(03:45 AM - 04:15 AM EDT)
Data-Driven Foundations: Getting Started With Data Literacy and Data-Driven Business Transformation
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)
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.
Thursday, 05 August, 2021 / 11:45 AM - 12:15 PM IST
(02:15 AM - 02:45 AM EDT)
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, 05 August, 2021 / 01:15 PM - 01:45 PM IST
(03:45 AM - 04:15 AM EDT)
Boosting Machine Learning With Better Training Data
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 / 02:45 PM - 03:15 PM IST
(05:15 AM - 05:45 AM EDT)
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.
Wednesday, 04 August, 2021 / 11:45 AM - 12:15 PM IST
(02:15 AM - 02:45 AM EDT)
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, 04 August, 2021 / 01:15 PM - 01:45 PM IST
(03:45 AM - 04:15 AM EDT)
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?
Thursday, 05 August, 2021 / 02:45 PM - 03:15 PM IST
(05:15 AM - 05:45 AM EDT)
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. 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)
AI Engineering: How to Propel AI From Prototypes to Scalable Value Generators
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.
Thursday, 05 August, 2021 / 03:30 PM - 04:00 PM IST
(06:00 AM - 06:30 AM EDT)
Augmented Data Catalogs: Now an Enterprise Must Have to Maximize Data Utilization
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?
Wednesday, 04 August, 2021 / 11:45 AM - 12:15 PM IST
(02:15 AM - 02:45 AM EDT)
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, 04 August, 2021 / 02:00 PM - 02:20 PM IST
(04:30 AM - 04:50 AM EDT)
Teradata: The Power of Data in Business Transformation
Tarun Pandey, Executive Vice President, ADITYA BIRLA CAPITAL LIMITED
In today’s connected world, data is more important than ever. The COVID-19 pandemic has become an accelerant for digital transformation as companies look to shift 3-year roadmaps to 3-month sprints to maintain business continuity. Hear from Teradata and Aditya Birla Capital on how data is a crucial asset that offers a competitive advantage for companies especially in this new normal.
Wednesday, 04 August, 2021 / 02:45 PM - 03:15 PM IST
(05:15 AM - 05:45 AM EDT)
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.
Wednesday, 04 August, 2021 / 03:30 PM - 04:00 PM IST
(06:00 AM - 06:30 AM EDT)
Disruption in Decision Intelligence 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. 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 / 11:45 AM - 12:15 PM IST
(02:15 AM - 02:45 AM EDT)
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 data fabric.
Thursday, 05 August, 2021 / 11:45 AM - 12:15 PM IST
(02:15 AM - 02:45 AM EDT)
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.
Thursday, 05 August, 2021 / 12:30 PM - 12:50 PM IST
(03:00 AM - 03:20 AM EDT)
Snowflake: Mobilize Your Data with the Snowflake Data Cloud
Join the Data Cloud – a network of thousands of organizations mobilizing data seamlessly across public clouds as data consumers, data providers, and data service providers. Easily discover and securely share live governed data across your business, with your customers and business partners, and with any organization that is part of in the Data Cloud.
Thursday, 05 August, 2021 / 01:15 PM - 01:45 PM IST
(03:45 AM - 04:15 AM EDT)
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
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 / 02:00 PM - 02:20 PM IST
(04:30 AM - 04:50 AM EDT)
Confluent: Data in Motion Everywhere
The rise of data-in-motion is a world-wide phenomenon, impacting every industry, every geography, and every type of company. It is fast becoming a foundational part of the modern tech stack. Please join this session with Damien Wong, VP Asia Pacific, Confluent, to learn how Data in motion is the central nervous system for today’s enterprises and is powering the shift to real time.
Thursday, 05 August, 2021 / 02:45 PM - 03:15 PM IST
(05:15 AM - 05:45 AM EDT)
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. 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?
Wednesday, 04 August, 2021 / 12:30 PM - 12:50 PM IST
(03:00 AM - 03:20 AM EDT)
Denodo: Enabling Data Democratization at BNY Mellon with Data Virtualization
BNY Mellon, a global investment company and one of the oldest financial institutions that prides itself to power the success across the financial world for individuals and institutions through unique insights, thinking and actions, wanted to create an enterprise data platform (EDP). The EDP provides a massive analytics and reporting platform, enabling us to generate actionable insights to improve processes and business performance.
Wednesday, 04 August, 2021 / 01:15 PM - 01:45 PM IST
(03:45 AM - 04:15 AM EDT)
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?
Wednesday, 04 August, 2021 / 02:45 PM - 03:15 PM IST
(05:15 AM - 05:45 AM EDT)
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
Thursday, 05 August, 2021 / 01:15 PM - 01:45 PM IST
(03:45 AM - 04:15 AM EDT)
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. 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)
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
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)
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, 04 August, 2021 / 01:15 PM - 01:45 PM IST
(03:45 AM - 04:15 AM EDT)
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?
Wednesday, 04 August, 2021 / 02:45 PM - 03:15 PM IST
(05:15 AM - 05:45 AM EDT)
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
Wednesday, 04 August, 2021 / 03:30 PM - 04:00 PM IST
(06:00 AM - 06:30 AM EDT)
Building End-to-End Data Architectures in AWS, Azure and GCP
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)
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 data fabric.
Thursday, 05 August, 2021 / 11:45 AM - 12:15 PM IST
(02:15 AM - 02:45 AM EDT)
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.
Thursday, 05 August, 2021 / 01:15 PM - 01:45 PM IST
(03:45 AM - 04:15 AM EDT)
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
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 / 02:00 PM - 02:20 PM IST
(04:30 AM - 04:50 AM EDT)
Confluent: Data in Motion Everywhere
The rise of data-in-motion is a world-wide phenomenon, impacting every industry, every geography, and every type of company. It is fast becoming a foundational part of the modern tech stack. Please join this session with Damien Wong, VP Asia Pacific, Confluent, to learn how Data in motion is the central nervous system for today’s enterprises and is powering the shift to real time.
Thursday, 05 August, 2021 / 02:45 PM - 03:15 PM IST
(05:15 AM - 05:45 AM EDT)
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, 04 August, 2021 / 11:45 AM - 12:15 PM IST
(02:15 AM - 02:45 AM EDT)
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.
Wednesday, 04 August, 2021 / 12:30 PM - 12:50 PM IST
(03:00 AM - 03:20 AM EDT)
Oracle: Analytics Cloud Innovations
T.K. Anand, Senior Vice President Product Development - Oracle Analytics, Oracle Corporation
Oracle Analytics put the power of advanced analytics within reach of all employees and support a wide variety of use cases & data. Anyone from data engineers, data scientists or business users can access & interact with data, evaluate predictions and make business decisions quickly and confidently. Throughout this session you’ll discover why world-class organizations turn to Oracle Analytics for a winning edge.
Wednesday, 04 August, 2021 / 01:15 PM - 01:45 PM IST
(03:45 AM - 04:15 AM EDT)
Data-Driven Foundations: Getting Started With Data Literacy and Data-Driven Business Transformation
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)
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.
Wednesday, 04 August, 2021 / 02:45 PM - 03:15 PM IST
(05:15 AM - 05:45 AM EDT)
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
Wednesday, 04 August, 2021 / 03:30 PM - 04:00 PM IST
(06:00 AM - 06:30 AM EDT)
Top Trends in Data and Analytics, 2021
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.
Thursday, 05 August, 2021 / 11:45 AM - 12:15 PM IST
(02:15 AM - 02:45 AM EDT)
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, 05 August, 2021 / 01:15 PM - 02:00 PM IST
(03:45 AM - 04:30 AM EDT)
Workshop: The Art of Articulating and Quantifying the D&A Business Value
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 / 02:00 PM - 02:45 PM IST
(04:30 AM - 05:15 AM EDT)
Roundtable: Data-Driven Transformation: Holy Grail Or Hype?, moderated by Snowflake
Data-driven transformation is increasingly being discussed across many industries, with the trend accelerated by the wide-ranging impact of the pandemic. In addition, past studies have shown that data-driven organizations are 19 times more likely to generate a profit. So why is it that so few businesses are taking action to unlock the value of data?
Thursday, 05 August, 2021 / 02:45 PM - 03:15 PM IST
(05:15 AM - 05:45 AM EDT)
AI Engineering: How to Propel AI From Prototypes to Scalable Value Generators
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.
Thursday, 05 August, 2021 / 02:45 PM - 03:15 PM IST
(05:15 AM - 05:45 AM EDT)
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.
Wednesday, 04 August, 2021 / 02:45 PM - 03:15 PM IST
(05:15 AM - 05:45 AM EDT)
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
Thursday, 05 August, 2021 / 11:45 AM - 12:15 PM IST
(02:15 AM - 02:45 AM EDT)
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 data fabric.
Thursday, 05 August, 2021 / 02:45 PM - 03:15 PM IST
(05:15 AM - 05:45 AM EDT)
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, 04 August, 2021 / 12:30 PM - 12:50 PM IST
(03:00 AM - 03:20 AM EDT)
Oracle: Analytics Cloud Innovations
T.K. Anand, Senior Vice President Product Development - Oracle Analytics, Oracle Corporation
Oracle Analytics put the power of advanced analytics within reach of all employees and support a wide variety of use cases & data. Anyone from data engineers, data scientists or business users can access & interact with data, evaluate predictions and make business decisions quickly and confidently. Throughout this session you’ll discover why world-class organizations turn to Oracle Analytics for a winning edge.
Wednesday, 04 August, 2021 / 02:45 PM - 03:15 PM IST
(05:15 AM - 05:45 AM EDT)
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?
Wednesday, 04 August, 2021 / 03:30 PM - 04:00 PM IST
(06:00 AM - 06:30 AM EDT)
When Worlds Collide: Augmented Analytics Combines Analytics and Data Science for High Impact
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 / 12:30 PM - 01:15 PM IST
(03:00 AM - 03:45 AM EDT)
Roundtable: Modern Data Platform for Analytics - Get Answers to Any Question Using All Data Sources, moderated by Oracle
Prasad Rai, VICE PRESIDENT - CLOUD APPLICATIONS, Oracle India Pvt Ltd
A cloud data management platform with a broad and deep portfolio across applications, platforms, and infrastructure gives the businesses the tools and ability to build their own path to a successful cloud. They can spend less on IT maintenance and more on real innovation.
Join this panel discussion to hear some of your peers share their views and how they achieved great business outcome by implementing a cloud data management platform.
Thursday, 05 August, 2021 / 02:45 PM - 03:15 PM IST
(05:15 AM - 05:45 AM EDT)
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?
Thursday, 05 August, 2021 / 03:30 PM - 04:00 PM IST
(06:00 AM - 06:30 AM EDT)
Augmented Data Catalogs: Now an Enterprise Must Have to Maximize Data Utilization
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?
Wednesday, 04 August, 2021 / 01:15 PM - 01:45 PM IST
(03:45 AM - 04:15 AM EDT)
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?
Wednesday, 04 August, 2021 / 03:30 PM - 04:00 PM IST
(06:00 AM - 06:30 AM EDT)
Building End-to-End Data Architectures in AWS, Azure and GCP
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)
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 data fabric.
Thursday, 05 August, 2021 / 03:30 PM - 04:00 PM IST
(06:00 AM - 06:30 AM EDT)
Augmented Data Catalogs: Now an Enterprise Must Have to Maximize Data Utilization
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?
Wednesday, 04 August, 2021 / 05:15 PM - 06:00 PM IST
(07:45 AM - 08:30 AM EDT)
Workshop: CDO Circle Leadership Exchange: The State of Data and Analytics in 2021 and Beyond
Jitendra Subramanyam, VP, Team Manager, Gartner
Insights from the latest Gartner survey of heads of Data & Analytics worldwide. Benchmark your priorities, challenges and operating model with your peers. Learn about the key practices that separate good from great D&A organizations.
Thursday, 05 August, 2021 / 11:45 AM - 12:15 PM IST
(02:15 AM - 02:45 AM EDT)
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, 05 August, 2021 / 04:15 PM - 05:45 PM IST
(06:45 AM - 08:15 AM EDT)
CDO Circle Research Discussion: Governing AI for Value
Jitendra Subramanyam, VP, Team Manager, Gartner
How do D&A leaders manage AI models at scale? This session is a mix of case studies from leading practitioners and facilitated peer interaction, illuminates the journey from pilot to production. We showcase how practitioners are rewriting the rules of governing AI models.