Agenda

Hone your leadership skills, refine your strategies and discover the latest technologies at Gartner Data & Analytics Summit 2023 in Mumbai, India.

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Monday, 08 May, 2023 / 02:30 PM - 03:00 PM IST

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

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 / 10:30 AM - 11:00 AM IST

Five Ways Simulation and Synthetic Data are Generating New Advantages for AI

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.

Monday, 08 May, 2023 / 12:30 PM - 01:00 PM IST

Level Up AI and MLOps by Applying Software Engineering Best Practices

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 / 12:30 PM - 01:00 PM IST

How Language Technologies Are Reshaping the Foundation of Analytics and What to Do About It

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

Foundations of AI — Still Confused? A Minimal Viable Knowledge Set to Get Started With AI

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?

Tuesday, 09 May, 2023 / 10:30 AM - 11:00 AM IST

Gartner Futures Lab: The AI Revolution, Wave 3

AI has only just begun. Its impact on society and business will continue to grow, with far reaching implications. The big question is: when, and how? What are realistic expectations with respect to the future of AI? What is hype, what is real, and what are the implications? This Gartner FutureLab will introduce the key future AI scenarios, and what they mean for AI strategy in the here and now.

Tuesday, 09 May, 2023 / 12:00 PM - 12:30 PM IST

All Data Is Biased! Can We Make AI Models Unbiased?

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.

Tuesday, 09 May, 2023 / 02:00 PM - 02:30 PM IST

Recipes for AI Maturity Learned From Known Successes and Mistakes

How can organizations increase their AI maturity level, find the next best actions and avoid common mistakes? Use Gartner AI maturity model and insights to accelerate and optimize your AI strategy and implementations to achieve the best value, reduce risk and get to scalability quicker in AI programs. Learn how advancing AI maturity is beneficial not just for the AI teams but also for the business.

Tuesday, 09 May, 2023 / 03:45 PM - 04:15 PM IST

Top Trends for Data and Analytics in 2023

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.

Monday, 08 May, 2023 / 02:30 PM - 03:00 PM IST

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

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 / 11:00 AM - 11:30 AM IST

Keeping SCORE, Understanding Your D&A Maturity

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 / 12:30 PM - 01:00 PM IST

Change Management and Communication Unlock Data-Driven Business Value

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 / 05:00 PM - 05:30 PM IST

Data Ecosystems — Integrated Data and Analytics; No Assembly Required

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.

Monday, 08 May, 2023 / 11:00 AM - 11:30 AM IST

Develop an AI Governance Strategy to Win-Win-Win

AI governance is increasingly important to scaling AI initiatives. It makes AI a positive force, rather than a threat to society and to itself. AI governance topics include organizational structures, AI testing and validation, and Responsible AI. AI governance helps balancing the business and societal value and risks. It pursues trust, transparency and accountability.

Monday, 08 May, 2023 / 11:00 AM - 11:30 AM IST

Data Fabric or Data Mesh: Debate on Deciding Your Future Data Management Architecture

Ehtisham Zaidi, 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.

Monday, 08 May, 2023 / 05:00 PM - 05:30 PM IST

Deploy Data and Analytics Governance Effectively to Drive Better Decisions

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

Data and Analytics Governance: Foundations and Prospects

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.

Tuesday, 09 May, 2023 / 03:45 PM - 04:15 PM IST

Responsible AI: From Bias and Privacy to Compliance and Risk Management

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.

Tuesday, 09 May, 2023 / 03:45 PM - 04:15 PM IST

Data Modernization — How to Find the Most Appropriate Service Provider?

Ankush Jain, Sr Principal Analyst, Gartner

Your choice of external service provider for data management and governance needs can determine the success of your data modernization plans. This session will provide practical guidance to help you make the best selection of service providers to maximize your chances of success.

Monday, 08 May, 2023 / 12:30 PM - 01:00 PM IST

The Active Metadata Helix: the Benefits of Automating Data Management

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 / 12:30 PM - 01:00 PM IST

How Language Technologies Are Reshaping the Foundation of Analytics and What to Do About It

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 / 05:00 PM - 05:30 PM IST

Data Observability: A New Trend You Need to Know for Building Reliable Data Landscapes

Ankush Jain, Sr Principal Analyst, Gartner

Data observability as an emerging technology provides the ability to understand the health of an organization’s data landscape, data pipelines, and data infrastructure by continuously monitoring, tracking, alerting, analyzing and troubleshooting incidents. Data and analytics leaders need to know what it is and how it can help to build a stronger data landscape, given the modern, complex and distributed data stacks.

Tuesday, 09 May, 2023 / 02:00 PM - 02:30 PM IST

State of the Data Integration Market: Top Trends That Can Transform Your Data Engineering Practice

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 / 03:45 PM - 04:15 PM IST

Top Trends for Data and Analytics in 2023

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.

Monday, 08 May, 2023 / 11:00 AM - 11:30 AM IST

Data Fabric or Data Mesh: Debate on Deciding Your Future Data Management Architecture

Ehtisham Zaidi, 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.

Monday, 08 May, 2023 / 12:30 PM - 01:00 PM IST

The Active Metadata Helix: the Benefits of Automating Data Management

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 / 12:30 PM - 01:00 PM IST

How Language Technologies Are Reshaping the Foundation of Analytics and What to Do About It

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.

Tuesday, 09 May, 2023 / 10:30 AM - 11:00 AM IST

The Practical Data Fabric — How to Architect the Next Generation Data Management Design

Ehtisham Zaidi, VP Analyst, Gartner

Organizations looking to invest in a future proof data management architecture must invest in the data fabric design. But most data and analytics leaders don't know where to begin, what the data fabric means for their business outcomes and how to extend existing logical data warehouse to support the data fabric design.

Tuesday, 09 May, 2023 / 12:00 PM - 12:30 PM IST

Data Lakes, Data Warehouses, Data Hubs and Now Lakehouses: What Are They and How to Choose

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?

Tuesday, 09 May, 2023 / 03:45 PM - 04:15 PM IST

Top Trends for Data and Analytics in 2023

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.

Monday, 08 May, 2023 / 02:30 PM - 03:00 PM IST

Graphs Are Everywhere — How to Leverage Graph Databases and Graph-Based Data Management Practices

Graphs are all around us and are used to solve real-world problems. Discover how a graph-based approach to modeling business problems provides a faster time to market with simplicity and elegance.

Tuesday, 09 May, 2023 / 02:00 PM - 02:30 PM IST

State of the Data Integration Market: Top Trends That Can Transform Your Data Engineering Practice

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?

Monday, 08 May, 2023 / 02:30 PM - 03:00 PM IST

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

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?

Tuesday, 09 May, 2023 / 03:45 PM - 04:15 PM IST

Why Your Next Data Science Project Should Use Graph Analytics and Machine Learning

Erick Brethenoux, Distinguished VP Analyst, Gartner

Top tech companies have utilized the power of graphs to power everything from fraud detection systems to recommendation engines and are now finding their way into use cases across industries. This session will introduce the concept of graph analytics and the algorithms used for finding hidden insights in your data that enhance decision making by making context king.

Tuesday, 09 May, 2023 / 03:45 PM - 04:15 PM IST

Top Trends for Data and Analytics in 2023

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.

Monday, 08 May, 2023 / 11:00 AM - 11:30 AM IST

Decision Intelligence and Optimization Across Your Enterprise and Ecosystem

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.

Tuesday, 09 May, 2023 / 12:00 PM - 12:30 PM IST

Decisions: Can Data and Analytics Make Them Better?

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

Monday, 08 May, 2023 / 09:30 AM - 10:15 AM IST

Keynote: Be Ambitious, Be Determined and Lead Transformation From Inside

Traditionally, Japan and its culture transformed due to unexpected and significant impacts and pressure created inside and outside the country. DX and data-driven are continuous objectives for enterprises in this decade. External pressure is higher, but not enough enterprises achieved transformation. D&A leaders should be ambitious, lead their organizations with determination and increase pressure for transforming from the inside.

Monday, 08 May, 2023 / 11:00 AM - 11:30 AM IST

Keeping SCORE, Understanding Your D&A Maturity

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 / 12:30 PM - 01:00 PM IST

Change Management and Communication Unlock Data-Driven Business Value

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 / 02:30 PM - 03:00 PM IST

Engage and Influence Business Stakeholders Using Data-Enabled Storytelling

Data storytelling is about creating a shared vision and call to action through influential communication. Applying deliberate techniques to their data stories, chief data and analytics officers can improve the influence and impact they have with stakeholders to drive business value.

Tuesday, 09 May, 2023 / 02:00 PM - 02:30 PM IST

Partner With Software Engineering for Scale and Value

AI projects are equal parts analytics, data and code. To scale AI and achieve benefits, a partnership with software engineering is key — throwing API's 'over the fence' is not enough. This session will outline how to develop a collaborative and productive relationship and operating model with software engineering to obtain better business results.

Monday, 08 May, 2023 / 02:30 PM - 03:00 PM IST

Graphs Are Everywhere — How to Leverage Graph Databases and Graph-Based Data Management Practices

Graphs are all around us and are used to solve real-world problems. Discover how a graph-based approach to modeling business problems provides a faster time to market with simplicity and elegance.

Monday, 08 May, 2023 / 05:00 PM - 05:30 PM IST

5 Hacks to Drive Pervasive D&A Usage

The biggest cause of D&A failure is that the users don't use the data, insights or tools to drive business value. Ensuring adoption is never easy, but there are some proven techniques to drive the pervasive D&A usage.

Monday, 08 May, 2023 / 05:00 PM - 05:30 PM IST

Data Ecosystems — Integrated Data and Analytics; No Assembly Required

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 / 12:00 PM - 12:30 PM IST

Five Ways to Mature Your Data Engineering Practice

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.

Tuesday, 09 May, 2023 / 03:45 PM - 04:15 PM IST

Top Trends for Data and Analytics in 2023

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 / 12:00 PM - 12:30 PM IST

All Data Is Biased! Can We Make AI Models Unbiased?

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.

Tuesday, 09 May, 2023 / 02:00 PM - 02:30 PM IST

7 Fatal Flaws of Self-Service Analytics

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.

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