Enterprises that possess high-quality data and governance and attest to the trust worthiness of their data among stakeholders have doubled the return on investment (ROI) from their AI. Learn how leading organizations today are implementing an open and trusted data foundation to secure and maximize the value of both their structured and unstructured data, accessing siloed data across hybrid cloud, cost-optimizing growing data workloads, and preparing and delivering high-quality, governed data for AI with a new approach to a data fabric architecture.

In today’s data-driven world, organizations are challenged to extract meaningful insights from complex, distributed information. A modern data intelligence platform brings together data management, AI/ML, and analytics to turn raw data into strategic advantage. This session explores how unified data architectures, augmented analytics, and intelligent applications are enabling smarter decisions and better business outcomes across industries. Real-world use cases—from demand forecasting to regulatory compliance—highlight the transformative impact of data intelligence. Powered by Oracle, this approach helps enterprises stay agile, informed, and competitive.

In today’s disrupted markets, CXOs face mounting pressure to translate bold strategies into tangible results. This session will reveal how to bridge the gap between strategic vision and agile execution leveraging AI-powered Copilot. We will explore how integrating AI and data-driven intelligence transforms fragmented data into a unified "digital blueprint," enabling enterprise agility and delivering measurable ROI. Join us to learn how connected workflows—from strategy to frontline execution—are reshaping the future of work and driving success.

As AI evolves into more agentic forms, capable of autonomous decision-making and complex interactions, the readiness of your data becomes a mission-critical priority. This roundtable gathers data & analytics leaders to explore the unique challenges of preparing data ecosystems for agentic AI. Discussions will focus on overcoming barriers such as data quality gaps, governance complexities, and scalability issues, while highlighting the transformative role of technologies like generative AI, data fabrics, and metadata-driven governance

Traditional approaches and thinking around data quality are out of date and not sufficient in the era of AI. Data, analytics and AI leaders will need to reconsider their approach to data quality going beyond the traditional six data quality dimensions. This session will help data leaders learn to think about data quality in a holistic way that support making data AI-ready.

With new pressures coming from AI, CDAOs must be agile in implementing and enabling business innovation. But, with quick adaptation, inevitably comes stress on traditional D&A delivery processes and practices. Join this interactive session to lean how to: clarify strategies to support business innovation, design adaptable and scalable delivery models and collaborate with business units to ensure value of D&A capabilities and services.

D&A leaders scaling generative AI training and inference must navigate new technologies including GPUs and AI processors, both on-premises and in the cloud. In this session, we provide a pragmatic framework to map GenAI model sizes to infrastructures across on-premises and cloud environments.

AstraZeneca has implemented a "platform" approach, which serves as a centralized repository of standardized, enterprise grade, reusable services and capabilities that are accessible to AI factories. This platform includes user interfaces, APIs that integrate AI services with enterprise systems, supporting resources like data import tools and agent orchestration services. AstraZeneca will share how, starting with a few generative AI use cases, they have successfully identified common services and capabilities, subsequently standardizing these elements to maximize their applicability through the platform. These solutions leverage technologies like GPT models, Natural Language Processing and Retrieval Augmented Generation (RAG) architecture.

Data and analytics leaders expect their data and analytics investments to deliver business results. But unless they address data, analytics and AI risk, their initiatives will fail, leading to higher business risk exposure. This session will help D&A leaders target three key areas where better data and analytics risk practices will yield better business results.

Asking your colleagues how analytics can help them often results in blank stares, defensiveness, or wildly incoherent suggestions involving AI. This session will show you how to work with your colleagues to pinpoint how you can help, identify the most helpful capabilities to build, and explain how to measure your impact.

Data ecosystems, built on data fabric design and infused with AI, promise an integrated, cost effective, and operationally simple approach to varied data management challenges. However, they don't yet always deliver on that promise. This research explores the maturity of various ecosystem components and provides a guide for D&A leaders and others looking to invest in data foundations for competitive differentiation.

D&A value is not possible without data storytelling that offers a better way to engage communication findings than just BI reporting or data science notebooks. Join this session to know about the fundamentals of data storytelling and how to fill the gap between data science speakers and decision makers. It further discusses how to tell the best data storytelling and how to upscale data storytelling for future in landscape of GenAI.

As enterprises embrace GenAI and intelligent agents, securing sensitive data—like PII, financial records, and IP—while maintaining compliance is crucial. This session explores how Skyflow helps meet modern privacy demands, including India’s DPDP Act, using polymorphic encryption, tokenization, consent management, and fine-grained access controls. See real-world architectures that show how to embed privacy into both legacy and AI-first systems, enabling innovation without compromising security or regulatory compliance.

CDAOs and AI leaders are grappling with two crucial questions: 1. What public cloud provider should we choose for AI and GenAI initiatives, and 2. how do we assemble the right cloud architecture to scale and deploy AI more effectively?
This session compares public cloud AI and Generative AI architectures from AWS, Azure and GCP and provides insights on their points of differentiation.

D&A leaders must develop DataOps as an essential practice to redefine their data management operations. This involves establishing business value before pursuing significant data engineering initiatives, and preventing duplicated efforts undertaken by different teams in managing the common metadata, security and observability of information assets within the data platforms.

D&A leaders face challenges in identifying and engaging with data stewards to advance D&A governance efforts. This session will provide actions that leaders can take back to their organizations and begin to implement.

AI is having a huge impact, but is not the only thing with societal, technological, and organizational implications driving change in data and analytics. We examine trends in areas such as complexity, trust, and empowerment facing leaders and teams as they make decisions in all aspects of their bet-the-business D&A strategy.

Join us for a networking reception at the Exhibit Showcase in Showroom where you can engage with your peers, Gartner experts, and exhibitors while enjoying delicious food and beverages. Evaluate industry offerings that can move your business forward. Alcoholic and non-alcoholic drinks will be served along with appetizers like Fish Koliwada, Negima, Chermula Prawns Skewers, Paneer k Sholey, Spinach and Goat Cheese Croquettes during the reception. A hot buffet dinner will also be served and includes vegetarian and gluten free options. Please click here to see the full menu.
If you have provided any specific dietary requirements, please speak to the venue staff should you have any questions.

Often called the "Voice of Indian Cricket," Harsha Bhogle is a celebrated cricket commentator and analyst. With a blend of wit, intelligence, and a deep understanding of the game, he speaks about leadership, decision-making under pressure, and building trust in teams. Weaving cricketing stories with broader life lessons, Harsha will show how learning's from the field of sport can be applied to improve our approach to life and Business, covering topics including how champions and champion teams handle issues like team building, leadership, vision and goal-setting.

Data and analytics leaders and their data engineering teams are tasked with evaluating and selecting data integration tools. However, there are many options, which can be confusing. This session will explain the various types of data integration tools and technologies available in the market, and help you select the right data integration tool for your needs.

In this session, we will explore cost transformative vendors such as DeepSeek and MistralAI’s impact on AI development, highlighting the potential to enhance enterprise innovation at a price/performance that is unprecedented. Data, analytics & AI leaders can bring their questions on how they can capitalize on new training and inferencing paradigms in AI, the future of AI model development and the impact of reasoning models on a more autonomous future in AI.

Lakehouse has become a cornerstone in managing large and heterogeneous data by providing capabilities that simplify organizational data architecture, unify data assets, and help streamline, harmonize, and enhance data processes, operations and governance. Lakehouse provides high value to the organization, reduces technical debt, and prepares the organization for new frontiers like AI.

Let's kick this interaction off with some inputs from a Gartner expert and let the discussion evolve on its own. Join this session to offer your input to the data fabric and data mesh debate. Be prepared to challenge or reinforce positions from the market and discuss them with peers and a Gartner expert, who will cover these positions and their alternatives.

AI systems can have significant impact in organizations decisions and product offerings. This has triggered a complex regulatory landscape and related organizational guidance to ensure responsible and ethical implementation of AI systems. This session provides the technology framework supporting the processes and policies for a reliable AI system that is fair, safe and secure.

Creating a business case for GenAI is hard. GenAI initiatives produce outcomes that range from everyday to game-changing and cannot be described by a single currency of value. Gartner has identified three business case types and recommends CIOs create a value portfolio that encompasses the variety of GenAI investments enterprises make. Come to this session to learn how to frame your GenAI business case and align executive expectations on value creation from GenAI.