Agenda
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.
D&A leaders must be purposeful in driving the organizational and cultural transformation necessary to become a data-driven enterprise. This track explores how to hire and retain individuals and lead teams for business productivity, employee retention and professional growth.
This track highlights the current and future data management strategies such as data ecosystems and financial governance as well as the full set of tools, metadata management and master data management.
This track navigates those analytics capabilities and how to organize them, plan to deliver them and align them to stakeholder needs.
This track explores how to identify, assign value and prioritize data and analytics investments as well as develop a coordinated strategy and operating model to ensure success
This track explores the technology trends, organizational requirements, skill development and talent needed for successful deployment
This track provides guidance for putting trusted, agile data and analytics, and AI governance practices in place.
Monday, 08 May, 2023 / 09:30 AM - 10:15 AM IST
Ehtisham Zaidi, VP Analyst, Gartner
Donald Feinberg, Distinguished VP Analyst, Gartner
Data & analytics leaders can deliver increasing value to their organizations. This session will uncover new research and trends which will enable you to find new powerful ways to connect with stakeholders, address skills shortages and build trust to overcome cultural resistance to change. Learn how to attract and retain a world-class D&A team and lead with purpose to ensure the data-driven transformation required for success.
Monday, 08 May, 2023 / 11:00 AM - 11:30 AM IST
Nate Novosel, VP, Advisory, Gartner
Gartner's self-assessment tool for data and analytics maturity has been adopted by thousands of organizations. This session will look at some of the findings and provide best practices for how you can use the IT Score for Data and Analytics to improve your maturity. (This session will be helpful for organizations irrespective of whether they have already taken the assessment or not.)
Monday, 08 May, 2023 / 11:00 AM - 12:30 PM IST
Kevin Gabbard, Sr Director Analyst, Gartner
Saul Judah, VP Analyst, Gartner
Anurag Raj, Sr Principal, Advisory, Gartner
This leadership exchange provides insights from recent research findings, helping CDAOs navigate the road ahead for data and analytics in their organization. The emphasis will be on the exploration of the impact of these findings and how it changes the way CDAOS think about the way they lead.
Monday, 08 May, 2023 / 02:30 PM - 04:30 PM IST
Nate Novosel, VP, Advisory, Gartner
Saul Judah, VP Analyst, Gartner
Anurag Raj, Sr Principal, Advisory, Gartner
In the disruption-as-usual climate that CDAOs face today, it is difficult to shift the focus of data and analytics teams from delivering insight to discovery of new business value. This research discussion provides an opportunity for CDAOs to discuss case studies that have shown such success, and explore how success could be translated to their organizational context.
Monday, 08 May, 2023 / 04:15 PM - 05:00 PM IST
Jorgen Heizenberg, VP Analyst, Gartner
This roundtable is your opportunity to discuss with your peers what current and future roles are important for your D&A initiatives. For example, what skills are in demand and where to find talent in a hypercompetitive market?
Monday, 08 May, 2023 / 05:00 PM - 05:30 PM IST
Sarah James, Sr Director Analyst, Gartner
CDAOs who effectively employ change management and communication techniques wield more influence and impact with their data and analytics strategies than those who do not. To be successful, chief data and analytics officers must address both data literacy (skills) and data-driven culture (will) among the workforce.
Monday, 08 May, 2023 / 05:15 PM - 05:45 PM IST
Jorgen Heizenberg, VP Analyst, Gartner
Data and analytics leaders require the right people and skills to accelerate digital business and drive measurable outcomes. This session covers trends and best practices around managing and developing the entire skills mix necessary to build successful data, Analytics and AI teams. Key topics include: What are the best practices for attracting talent? How do you train and sustain talent? How do you retain talent?
Tuesday, 09 May, 2023 / 10:30 AM - 12:00 PM IST
Nate Novosel, VP, Advisory, Gartner
Saul Judah, VP Analyst, Gartner
Anurag Raj, Sr Principal, Advisory, Gartner
This leadership exchange will introduce Gartner's new CDAO Effectiveness Model, and explore how it can be used to understand where CDAOs have well developed capabilities, and where there are threats and opportunities that must be addressed. As a leadership exchange, CDAOs can explore with their peers how this model can best be applied to deliver higher levels of performance.
Tuesday, 09 May, 2023 / 12:00 PM - 12:30 PM IST
Sarah James, Sr Director Analyst, Gartner
Data literacy is a new business competency and a requirement for digital dexterity. CDAOs must step up their leadership and use data literacy metrics as the basis for communicating the value of fostering a data-literate workforce.
Tuesday, 09 May, 2023 / 12:15 PM - 01:00 PM IST
Melissa Davis, VP Analyst, Gartner
Getting buy-in from stakeholders is a challenge for chief data and analytics officers. Join your peers in this analyst-led exploration of how to "sell" the overall vision and strategy for data and analytics through measurable business outcomes while also overcoming stakeholder objections and resistance to change.
Tuesday, 09 May, 2023 / 02:00 PM - 02:45 PM IST
Sarah James, Sr Director Analyst, Gartner
This roundtable allows CDAOs to explore DEI with their peers and ask, given its high priority at board level, how successful have CDAOS been in this area and the lessons learned that will guide us in the future.
Monday, 08 May, 2023 / 11:00 AM - 11:30 AM IST
Mark Beyer, Distinguished VP Analyst, Gartner
Metadata is generated practically every time data is accessed in any tool, platform or application. This is a largely untapped resource that is real-time documentation of exactly how, when and why any person in the enterprise uses data from any and all assets available to them. Active metadata is the conversion of these otherwise passive observations into ML-enabled, automated data management.
Monday, 08 May, 2023 / 12:45 PM - 01:15 PM IST
Donald Feinberg, Distinguished VP Analyst, Gartner
Confusion persists regarding the role of data warehouses, data lakes and data hubs — no complicated further with the “lakehouse.” While the names and terminology are less important than the principles and capabilities, D&A leaders need to know the capabilities, use cases and the value they provide.
• What are different data repository models in use today?
• What are the key differences between these models?
Monday, 08 May, 2023 / 12:45 PM - 01:30 PM IST
Robert Thanaraj, Director Analyst, Gartner
Data Movement Topology captures the movement of data across endpoints that meets various topology property needs.
Monday, 08 May, 2023 / 04:15 PM - 04:45 PM IST
Ankush Jain, Sr Principal Analyst, Gartner
High-quality, trusted data is critical for successful digital business initiatives. If data and analytics leaders are to enable a data-driven organization, they must take pragmatic and targeted actions to improve their enterprise data quality. There are 12 quick actions which help organizations not only achieve their data quality goals, but also sustain for the long-term value.
Monday, 08 May, 2023 / 05:00 PM - 05:30 PM IST
Robert Thanaraj, Director Analyst, Gartner
Analytics relies on a successful data foundation; it must be backed with the right data and processes.
Consumer demand for usable data has increased the need for data engineering. Data and analytics leaders can mature their data engineering practice by delivering data products, automating release processes, proving business value early, eliminating operations overhead and fostering collaboration.
Monday, 08 May, 2023 / 05:00 PM - 05:45 PM IST
Donald Feinberg, Distinguished VP Analyst, Gartner
In this session, we'll talk about data management in the cloud. Data and analytics leaders should bring their questions and topics for exploration, including choosing the right service offering, pricing models, financial governance, hybrid cloud strategies and more. (Access to this session is restricted to those that are not part of an organization or company that provides services, products or solutions to professionals in the industry.)
Tuesday, 09 May, 2023 / 10:30 AM - 11:00 AM IST
Donald Feinberg, Distinguished VP Analyst, Gartner
Data Ecosystems have emerged from the Cloud Service Providers (CSPs) and Independent Software Providers (ISVs) over the past few years. They offer an integrated set of tools for end-to-end data management for all data use cases, such as Analytics, ML, AI, Applications, Edge computing and more. Data Ecosystems will have a profound effect on data and analytics strategy, vendor and product choices and management of systems across clouds and hybrid.
Tuesday, 09 May, 2023 / 10:30 AM - 11:00 AM IST
Ehtisham Zaidi, VP Analyst, Gartner
Mark Beyer, Distinguished VP Analyst, Gartner
The data mesh is touted as the next-generation data management architecture based on domain-driven, distributed data management. The Data Fabric, on the other hand, does not believe in rip-and-replace and looks to utilize existing data management infrastructure. Organizations looking to evaluate data fabric or the data mesh need practical guidance on the subject. This breakout session will be on an on-stage moderated debate among Gartner analysts who will aim to cover the same.
Tuesday, 09 May, 2023 / 12:00 PM - 12:20 PM IST
Robert Thanaraj, Director Analyst, Gartner
Market trends around data integration tools enable organizations to access, integrate, transform, process and move data spanning various endpoints and across any infrastructure. It allows organizations to support various use cases, including data engineering, cloud data integration, operational data integration and data fabric.
Tuesday, 09 May, 2023 / 12:15 PM - 01:00 PM IST
Ankush Jain, Sr Principal Analyst, Gartner
There is an increasing number of inquiry calls asking about data observability. Besides it being hype, we need to explain to our clients what it is, what it delivers, how we can use it, and what value it provides. This presentation will give a detailed introduction to this emerging technology.
Tuesday, 09 May, 2023 / 02:00 PM - 02:30 PM IST
Ehtisham Zaidi, VP Analyst, Gartner
Data Integration is evergreen — it was always foundational to any resilient data management strategy. This session gives guidance on:
1. What are the key trends guiding the data integration market?
2. How should organizations evaluate and inculcate new data integration technologies in their data engineering portfolio?
3. What impact will these new trends have on their broader data management infrastructure and how to plan for it?
Tuesday, 09 May, 2023 / 02:00 PM - 03:30 PM IST
Mark Beyer, Distinguished VP Analyst, Gartner
The workshop focuses on two areas: justification based on benefits from aggressive, targeted metadata management and using existing metadata from BI, analytics, data science, MDM and integration in your data management future. Metadata is abundant, why is it hard to find, leverage and more importantly fund it? We will show you that "you never met a data you didn't like."
Monday, 08 May, 2023 / 11:00 AM - 11:20 AM IST
Anirudh Ganeshan, Principal Analyst, Gartner
Today’s analytics and BI (ABI) platforms must support the needs of IT, business analysts, and analytic content consumers. While tight integration with cloud ecosystems, business applications, and digital workplace tools is a key vendor selection requirement, buyers also need ABI platforms to support openness and interoperability. This research helps data and analytics leaders plan for and select these platforms.
Monday, 08 May, 2023 / 11:00 AM - 11:30 AM IST
Anthony Mullen, VP Analyst, Gartner
For a long time, unstructured and structured approaches to analytics were separate platforms and applications. Hence, making sense of both words and numbers was difficult. A new crop of platforms including data fabrics, semantic AI, insight engines and conversational AI are changing the very foundations of analytics to bring words and numbers together. This session will outline how this multistructured analytics is evolving, the role of language platforms and your path to a richer analytics.
Monday, 08 May, 2023 / 02:30 PM - 03:00 PM IST
Erick Brethenoux, Distinguished VP Analyst, Gartner
Faster and optimal decision making is a competitive differentiator. But silo data, silo decisions and silo mentality are not cutting it in today's global and highly interconnected business ecosystems. A more networked approach is required, bringing together technologies such as optimization, graph analytics and AI. This session will provide practical guidance to bring your decision intelligence to the next level.
Monday, 08 May, 2023 / 02:30 PM - 03:00 PM IST
Anirudh Ganeshan, Principal 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?
Monday, 08 May, 2023 / 04:15 PM - 04:45 PM IST
Melissa Davis, VP Analyst, Gartner
Improving customer experiences and relationships is one of the largest drivers of analytic adoption. Despite an increasing number of organizations leveraging AI techniques, few have rethought their approach to customer relationships. Join this session to learn how organizations can use these tools to improve customer intimacy.
Monday, 08 May, 2023 / 04:15 PM - 04:45 PM IST
Mayank Talwar, Principal Analyst, Gartner
Many organizations today are experiencing expanding portfolios of analytics tooling. Tools with overlapping capabilities create opportunities for data duplication, siloes and inconsistencies in metrics. Organizations should simplify their analytics architecture by performing a rationalization and consolidation exercise. This reduces the burden on IT to support multiple tools and govern analytics.
Tuesday, 09 May, 2023 / 12:15 PM - 12:45 PM IST
Kevin Gabbard, Sr Director Analyst, Gartner
AI is not the only thing driving rapid change in D&A. There is a rapid evolution in how and where analysis can be deployed, from the next generation of augmented UXs and beyond; composing and operationalizing D&A at scale; engineering decision intelligence; and relating everything; to enabling D&A at the edge. Understanding the business impact of these changes will allow organizations to resource optimize, accelerate change, drive innovation and transform society over the next three years.
Tuesday, 09 May, 2023 / 02:00 PM - 02:30 PM IST
Anirudh Ganeshan, Principal Analyst, Gartner
Self-service analytics are rarely implemented successfully. To maximize its value, data and analytics leaders should certify and catalog D&A assets, promote cross-functional collaboration, optimize their tools portfolio and enable adaptive governance for analytic content in various phases.
Tuesday, 09 May, 2023 / 10:30 AM - 11:00 AM IST
Erick Brethenoux, Distinguished VP Analyst, Gartner
D&A has gone full circle. We're back at decision support, discussing more data-driven decisions that are much more concrete than before. It was hard to measure the business impact of a better decision; there is no parallel universe to test another decision. In this visionary session, we will explore how new insights and innovations create a more direct and measurable link between making decisions more data-driven and concrete business outcomes.
Tuesday, 09 May, 2023 / 02:00 PM - 02:30 PM IST
Robert Thanaraj, Director Analyst, Gartner
Organizations move to the cloud for different reasons and require justification — especially when migrating from on-premises to the cloud.
A well-thought approach to migrating the data and analytics platform to the cloud can maximize cost savings and reduce the ability to take full advantage of the cloud services and service provider capabilities in cloud analytics deployments.
Tuesday, 09 May, 2023 / 02:45 PM - 03:15 PM IST
Melissa Davis, VP Analyst, Gartner
Most of our clients across practices struggle to create and demonstrate their value to the organization. This session covers how to use Gartner's enterprise value equation framework to help you to optimize enterprise value for both for-profit and not-for-profit organizations and make D&A strategic to your organization's success.
Tuesday, 09 May, 2023 / 03:30 PM - 04:00 PM IST
Saul Judah, VP Analyst, Gartner
Meet the updated and improved "D&A Strategy and Operating Model" (DASOM). It is tried and tested and now includes the most recent insights from thousands of client interactions, such as what a modern D&A strategy looks like and how you can make sure the strategy leads to tangible and measurable business outcomes.
Tuesday, 09 May, 2023 / 03:30 PM - 04:00 PM IST
Mayank Talwar, Principal Analyst, Gartner
Cloud platforms provide unique challenges and opportunities to design and architect an optimal D&A architecture resolving through complex data management and analytics use cases. This session provides detailed insights into the various components of AWS, Azure and GCP to create reference architectures for deploying an integrated and cohesive D&A ecosystem that includes native, hybrid and multicloud use-case scenarios.
Tuesday, 09 May, 2023 / 03:30 PM - 04:00 PM IST
Jorgen Heizenberg, VP Analyst, Gartner
A big part of your success is determined by people who don't work for the organization namely, consultants, systems integrators outsourcers. Over 90% of organizations utilize service provider across their D&A landscape. The depth and breadth of the service provider landscape is complex, extensive and difficult to navigate. Worldwide D&A service market is over $167 billion in 2022, and growing at double digits. This session offers a practical guide for finding, evaluating and selecting providers.
Monday, 08 May, 2023 / 11:00 AM - 11:30 AM IST
Erick Brethenoux, Distinguished VP Analyst, Gartner
This session will provide a high-level introduction to artificial intelligence (AI) and its practical impact on the organization. It will include key definitions, major trends, organizational and governance issues, and an overview of AI techniques. How to pragmatically introduce AI techniques in the organization to solve complex business problems? What are the steps to take (and to avoid) while implementing AI techniques? What are the AI best practices of organizations that are applying AI strategically?
Monday, 08 May, 2023 / 11:00 AM - 12:30 PM IST
Sumit Agarwal, Sr Director Analyst, Gartner
Organizations have been increasing their investments in AI every year. A robust AI platform architecture is critical to the success of AI initiatives. This session provides a reference architecture, approaches to incremental improvements and anti-patterns.
Monday, 08 May, 2023 / 02:30 PM - 03:00 PM IST
Sumit Agarwal, Sr Director Analyst, Gartner
Many organizations have hit the news headlines due to biased AI models. The bias may be related to source data, modeling practices or may be a manifestation of its use. Data scientists struggle with solving the "bias" problem. At the same time, the problem gains urgency due to regulations requiring fairness in decision making. This session walks through the various techniques that are available to mitigate bias in AI models.
Monday, 08 May, 2023 / 04:15 PM - 04:45 PM IST
Erick Brethenoux, Distinguished VP Analyst, Gartner
Understand key trends influencing the future of ML and data science. Get an insight in emerging ML capabilities that seemed outlandish just a few years ago, but are shaping the future of AI now. Learn about new roles, ideas and paradigms you shouldn't ignore. Plan for the future AI initiatives and improve your current AI solutions.
Monday, 08 May, 2023 / 04:15 PM - 05:00 PM IST
Anthony Mullen, VP Analyst, Gartner
Natural language processing (NLP) technologies have the potential to provide significant benefits to customer service (CS), but sometimes end users struggle to identify the best use cases and to stay up-to-date with a field that evolves at an advanced speed. In this session, we will illustrate and discuss NLP solutions that CS can leverage to reduce costs and generate value.
Tuesday, 09 May, 2023 / 09:15 AM - 09:45 AM IST
Sumit Agarwal, Sr Director Analyst, Gartner
Due to their massive scale and broad use-case applicability, foundation models, such as ChatGPT, are a significant AI advancement, but the major risks they pose aren’t fully understood. In this session, we evaluate the benefits, risks and opportunities of these models to tap their business value and minimize risk.
Tuesday, 09 May, 2023 / 02:45 PM - 03:15 PM IST
Sumit Agarwal, Sr Director Analyst, Gartner
Data-centric organizations increasingly demand rapid and effective data science, machine learning and AI solutions to deliver business outcomes. Unfortunately, delivering AI solutions quickly, in testable units of work, with the tooling to enable operationalization is difficult. Come to this session to see where and how to apply software engineering best practices to AI.
Monday, 08 May, 2023 / 12:45 PM - 01:15 PM IST
Saul Judah, VP Analyst, Gartner
Traditional data and analytics governance that focuses only on policy and compliance is now obsolete for digital business. If organizations wish to make progress toward modern approaches, such as adaptive governance, they must have the right foundations in place. This session discusses what these foundations are, and how they enable the future of data and analytics governance.
Monday, 08 May, 2023 / 05:15 PM - 05:45 PM IST
Guido De Simoni, VP Analyst, Gartner
The often-difficult territory of initiating a data and analytics governance initiative must be revisited under new compelling perspectives on deployment models and technology. In this session, we address how data and analytics governance can tune its approach, leverage new technology capabilities and connect the objectives to better decision-making for continuous improvement.
Tuesday, 09 May, 2023 / 10:30 AM - 11:00 AM IST
Anthony Mullen, VP Analyst, Gartner
Simulation and synthetic data are emerging as capabilities that promise to transform how AI solutions are built and managed. Although simulation, synthetic data and AI are different technology paradigms, they are related and complement each other. For example, simulation can evaluate the performance and sensitivity of AI algorithms to improve resilience and enhance their decision-making capabilities. And, AI-enriched simulation can identify the most promising simulations to run on a massive data set. This is a must-attend session to learn how the worlds of simulation, synthetic data and AI are combining.
Tuesday, 09 May, 2023 / 02:45 PM - 03:15 PM IST
Guido De Simoni, VP Analyst, Gartner
Dangerous data is data that exposes the company to the threat of serious legal or brand impact, but is unavoidably collected for other business purposes. This ability to identify data liability and not just treat data as a pure asset is critical to managing D&A risk.
Tuesday, 09 May, 2023 / 02:45 PM - 03:15 PM IST
Kevin Gabbard, Sr Director Analyst, Gartner
Data and analytics leaders using cloud-based solutions are often surprised by cost overruns. A continuous and iterative approach to financial governance — embodied in the emerging practice of FinOps — is required. Proactive, reactive and product-specific measures are foundational and serve as the basis for new approaches. Augmented FinOps provides a view of emerging future capabilities.
Tuesday, 09 May, 2023 / 03:30 PM - 04:00 PM IST
Anthony Mullen, VP Analyst, Gartner
The responsible, ethical use of AI is essential to its success. This session will not only explore the meaning of responsible AI, but will also address the integral approach that is needed to make responsible AI practical, including topics like digital ethics, risk management, bias mitigation, privacy protection, governance, skills, guidelines and tool support for AI practitioners.