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.

Metadata, data quality and data observability tools provide significant capabilities to ensure good data for your BI and AI initiatives. Metadata tools help discover, and inventory your data assets. Data quality tools help business users manage their data at sources by setting rules and policies. Data observability tools give organizations integrated visibility over the health of data, data pipeline and data landscape. Together the tools help organizations lay good foundation in data management for BI and AI initiatives.

Data and analytics leaders need to support the opportunities and challenges of today’s digital business with the right competencies. This is the time to evaluate data and analytics roles and skills that are fit for now and the future. This session will provide key considerations for D&A and AI roles and skills.

AI is moving faster than ever. AI techniques should bring adaptability to an uncertain world in constant flux. However, despite its extraordinary power and early promises, AI has not been leveraged to its full potential. What is missing? Where did we go wrong? Join us as we discuss our ambition for the future of AI and AI should do for us to deliver the value that we are expecting.

Responsible AI decisions are not black and white, they require trade-offs. Learn to make trade-offs and debate the alternatives to make AI governance and responsible AI decisions. Discuss controversial ideas in AI with your peers. Express your opinion and listen to what others are saying. Learn to ask the right questions and get the right answers to ensure responsible, trustworthy and ethical AI.

Generative AI continues to be a top priority for the C-suite and there has been an accelerated innovation in new AI models and products to enable it. In this session, IT leaders can learn about the key techniques and technologies powering one of the most transformative technology trends of this decade.

As organisations scale AI and move towards Data Products, success depends on trusted, high-quality data underpinned by strong governance. In this fireside chat, Chemist Warehouse shares how domain-aligned metadata, data quality, and governance, powered by Alation, enable a unified delivery framework using Critical Data Elements (CDEs) to reduce risk, drive self-service, and build a foundation for AI-ready analytics and future data product initiatives.

Join Andrew Hinds from Bupa Australia to explore how combining data lineage and AI-powered automation enables organizations to optimize operations and deliver trusted insights. Hear practical strategies for embedding observability and governance into every layer of your data ecosystem—empowering better decisions, innovation, and compliance in a rapidly changing world.

In a world flooded with data, dashboards alone aren't enough—organisations need real-time answers that drive action. Auror, a leading retail crime intelligence platform, leverages Elastic’s AI-powered search to unify and analyse data at scale—accelerating investigations, enabling cross-organisational collaboration, and significantly reducing retail shrink. In this session, discover how search-native architecture empowers decision intelligence, operational resilience, and frontline impact—delivering measurable ROI and strategic business value.

In today's competitive landscape, businesses seek innovative ways to leverage AI for strategic advantage. This session will explore how Agentic AI can transform data insights into actionable decision intelligence. Discover how NostraData uses AI to improve access to critical information across the pharmacy supply chain.

Organizations can face many challenges in operationalizing D&A and AI strategies. In this session, we discuss how to capitalize on value-based opportunities, engage with stakeholders and get to what matters.

As business leaders seek the adoption of AI-enabled capabilities across all aspects of operations, less than a third of D&A leaders express confidence that their organization is ready to meet the challenges associated with meeting AI-driven demand’. This multi-group discussion will cover:
Which components of the D&A value delivery chain are most in need of evolution?
What are the best next-generation D&A organizational & operating models suited for the AI-era?
What are the best KPIs for measuring ‘AI-readiness’ among systems, teams, and leaders?

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.

D&A and AI leaders including CDAOs continue to struggle to prove the value of D&A and AI. This session will provide a roadmap for gaining stakeholder buy-in on D&A initiatives, quantifying the value and building the business case, learning from the success of other organizations, and continuously measuring results and adjusting.

Models have become a commodity and the true differentiator lies in your data. This session will showcase seven real case examples from Uber, Rechat, J.P. Morgan, ChatDOC, Arize AI, Qodo, and Unstructure that span the entire AI-delivery life cycle, demonstrating how to transform your data into AI-ready assets to unlock its full value.

Get ready for a high-energy, action-packed session that brings AI agents to life. Build and deploy a fully functional AI agent in minutes using IBM watsonx Orchestrate. Learn how to:
• Create a domain-specific agent in minutes.
• Explore our pre-built agents for Sales, Procurement, and HR, which integrate seamlessly with 80+ enterprise tools your teams already use.
• Manage multiple agents through a centralised chat interface, automating even the most complex workflows.
• Discover proven strategies to boost productivity and ROI without long development cycles or heavy IT demands.
Whether you’re starting out or scaling your automation, this session will inspire and equip you to build your own AI agents confidently.

Explore how a global CPG leader revolutionized forecasting by integrating AI, internal data, and 5M+ external signals. By embedding macroeconomic indicators and modeling consumer behavior, they enhanced forecast precision—where even a 1% improvement equates to millions in value.

Across industries, AI-driven forecasting has boosted accuracy to over 90%, reduced out-of-stocks by 32%, and cut inventory costs by 25%.

See how advanced analytics drives agility and measurable impact.

Introducing Raden, the world’s first AI Data Engineer brought to you by Revefi and powered by MIP.
Today’s cloud data platforms are complex, costly, and often chaotic. Broken pipelines, hidden inefficiencies, and manual firefighting dominate most data teams’ time. In this session, we’ll explore how Revefi’s metadata-first observability platform, powered by Raden, transforms how enterprises detect, resolve, and prevent data issues with zero disruption and instant value. From automatically creating over 665,000+ data monitors, to cutting warehouse costs by 50% in just four weeks, Raden helps teams regain trust, control, and ROI fast.

Discover how leading enterprises are transforming financial planning with AI-driven automation, predictive insights, and dynamic decision-making. In this session, we’ll share best practices and real-world use cases of clients leveraging
IBM Planning Analytics to streamline forecasting, enhance agility, and gain a competitive edge. We’ll explore the latest advancements in Agentic AI; intelligent assistants that proactively analyse data, detect outliers, and recommend next steps, empowering finance teams to operate with greater speed and precision.

Deploying AI agents into business operations offers significant potential – but also demands careful execution to deliver tangible results. In this session, discover practical strategies for embedding agentic AI into frontline workflows while maintaining responsible AI governance.

We’ll explore how agentic AI can drive real performance gains – such as in call centre operations, where organisations have achieved a 20% increase in complaint resolution volume, a 30–40% reduction in average response times, and a 15% drop in handling costs. Learn how to turn AI ambition into operational success.

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

Join your peers to explore effective strategies and address challenges in preparing your data for AI applications. Exchange insights and valuable lessons with other Data & Analytics leaders. Discuss the essential elements of AI readiness and their significance for your data strategy. Discover methods to evaluate your existing data infrastructure and pinpoint areas for enhancement. Peer Meetups are networking sessions that allow you to connect and share with a small group of your peers without Gartner facilitation. Please make every effort to attend your peer meetup, as other attendees look forward to meeting with you.

With rapid technological advancements, AI and advanced analytics are reshaping business landscapes. Explore the latest trends and strategies for integrating these tools into your business. Learn from peers and strategically position your organization in the AI era. Peer Meetups are networking sessions that allow you to connect and share with a small group of your peers without Gartner facilitation. Please make every effort to attend your peer meetup, as other attendees look forward to meeting with you.

The enormous potential business value of AI is not going to materialize spontaneously. AI leaders should guide their organization toward an era in which AI is not only creating tangible business value but goes beyond to become a critical competitive differentiator and industry disruptor.

Data architects are increasingly tasked with provisioning quality unstructured data to support AI models. However, little has been done to manage unstructured data beyond data security and privacy requirements. This session will look at what it takes to improve the quality of unstructured data and the emerging best practices in this space.