Organizations struggle to make sense of numerous programs and projects that overlap or operate in silos. This research will weave together data and analytics governance, MDM and data quality into one organized initiative that every CDAO should be interested in.

Analytics is experiencing another monumental change. Just as visual drag and drop BI tools and augmented insights led to changes in analytics delivery, we now experience conversational interfaces, automated workflows and AI agents that cause us to rethink how analytics will be done. Join this session to learn the new technologies that are making an impact and how this will affect plans for future investment in analytics tools, platforms and solutions.

Urgent Investments in data, analytics and AI use cases has put the spotlight once more on strong data management foundations. Is our Data even Ready for upcoming AI, analytics and data sharing initiatives is now top of mindshare for heads of data, CDAOs and their counterparts. Data Fabrics have emerged as a long term, foundational data management architecture that you should now pursue for sustained D&A success. This session will:
1. Help understand what data Fabrics are and what they mean for your data strategy and architecture
2. Help decide how to build and where to buy
3. Navigate the vendor landscape to assist in tech procurement decisions to aid your fabric journey

Data catalogs suffer from a high failure rate that is often blamed on poor technology choices but are more often the result of nontechnical issues. This session will provide insight to data and analytics leaders in evaluating metadata management requirements, assessing readiness of organizations and best practices for getting started to implement a data catalog.

You've likely encountered human resistance to your data and analytics governance initiative, which can be frustrating because what you are doing seems like common sense. The very people you think your governance initiative will help can derail or block it. This session explores the people challenges encountered, and lessons learned on the journey to governance failures and successes.

This presentation provides a look at the multiple Hype Cycles that are pertinent to AI initiatives. This would include: Hype Cycle for AI, generative AI, data science and machine learning platforms, analytics and business intelligence, and possibly others.

This session will share proven enterprise architecture best practices for augmenting Snowflake with data virtualization to deliver real-time insights. We'll explore how to address latency-sensitive use cases—such as month-end financial reconciliations—while ensuring data security and supporting cloud migration using Denodo. Attendees will learn how the combination of Snowflake and Denodo enables scalable, low-latency analytics across highly customized and distributed data environments.

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.

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.

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.

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.

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.

Heads of analytics & AI face many challenges such as keeping afloat, staying the course or racing ahead in the race for AI superiority. This session will focus on the top fears, risks, objections and hurdles leaders of Analytics & AI face and most importantly, how to handle them.

Qlik Fireside Chat: Unifying Data, Insights & Intelligence: How Industry Leaders Are Driving Business Value

In an era defined by data, industry leaders are turning to platforms that not only analyze data but also unify and activate it across the enterprise. Join senior leaders from Mahindra & Mahindra, Ather Energy, and Parle Biscuits as they explore how data integration and real-time analytics to AI and ML—are helping them drive operational efficiency, accelerate innovation, and make smarter, faster decisions. Discover how these organizations are future proofing their data strategies while delivering measurable business outcomes.

AI-powered decisioning is here—but why aren’t enterprises fully leveraging its potential? Many organizations still struggle with fragmented decisioning engines, inefficient workflows, siloed data and lack of AI governance.
Join us for an engaging discussion with your peers. We’ll tackle the real barriers to AI-driven automation, explore strategies for integration, and explore how organizations are achieving measurable impact through seamless, scalable decisioning.

Industry Focus: Banking | FS | Insurance | Manufacturing
Level of attendees: Analytics Experts| Credit Mgrs, Sr. Mgrs, BU Head

Explore how Salesforce Data Cloud and Tableau, powered by intelligent agents, are revolutionizing data-driven decision-making, enabling seamless analytics and faster insights. This session explores how unified customer 360, real-time analytics, and AI-driven insights empower organizations to act swiftly and innovate effectively.

You've likely encountered human resistance to your data and analytics governance initiative, which can be frustrating because what you are doing seems like common sense. The very people you think your governance initiative will help can derail or block it. This session explores the people challenges encountered, and lessons learned on the journey to governance failures and successes.

Trust models enable D&A governance leaders to understand how data, analytics and AI assets are used across their enterprise to support business outcomes. This session will help you understand what trust models are, and how they can be used to drive better business outcomes.

Organisations are racing to adopt AI/ML solutions. But AI/ML solutions are only as trustworthy as the data used to train them, and are only impactful where we can deploy and operationalise them at scale. In this session we will discuss proven approaches to improving quality, reducing time-to-market for new analytics, and improving Data Scientist productivity, whilst also addressing concerns about ethics, compliance and data leakage.

As enterprises accelerate their digital transformation journeys, the convergence of AI, data, and analytics is reshaping decision-making at every level. CDOs and CIOs are at the forefront of this shift, balancing data strategy, governance, and AI-driven automation to drive competitive advantage.

The Bank of India is redefining trust through the power of data. Join its Analytics Head as they share how AI, real-time analytics, and predictive insights are transforming security, transparency, and customer experience. Discover how a legacy institution is embracing agility to lead the future of banking.
In addition - see how organizations unlock value with SAS Viya — achieving over 100x performance gains and half the cost in compute and storage costs when modernizing SAS 9 environments. It will explore how Intelligent Decisioning and Generative AI are integrated with data and models to automate decisions and drive stronger business outcomes.

Rapid changes demand innovative decision-making tools beyond traditional methods. Businesses are turning to AI, BI, and data science to gain a competitive edge. The perfect blend of these technologies can be a true differentiator.

Take a quick look at what to expect from this session:
-Challenges in data and analytics today
-Unlocking the power of AI, BI, and data science
-The transformative role of AI-powered self-service BI platforms
-Live demos of next-generation analytics in action

Learn how these innovations can drive better decisions to deliver transformative business outcomes.