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.

Vendors are flavoring their messaging and products with AI. But does this work for you as you need it to? What if a non-AI vendor brings it in? Are you comfortable with the unknown scenarios or is more clarity needed? Can you rely on AI Act compliance? Attendees share best practice preparations and how to increase resilience on vendor AI risk. Spoiler: you may have already done a lot.

Explaining AI models and their outputs to non-technical stakeholders can be challenging due to their complexity or business expectations. This decreases the trust and adoption of models in production. This session will discuss a few practices that can help D&A professionals enhance explainability and trust in model predictions, facilitating responsible and ethical use of AI across various domains.

How is the CDAO Role Changing?  What will it look like in 3-5 years?

Come ready to discuss these questions around the future of the CDAO leadership role with your colleagues. The room will be set up for smaller conversations of 7-10 per table, with one facilitator from Gartner. CDAO Circle sessions are not recorded to preserve your confidentiality.

Gartner's Hype Cycle for AI provides a snapshot of current AI trends and innovations mapped against their real-world applications and potential for impact in the enterprise. Find out more about how to use the Hype Cycle to track technologies and more details on individual elements that are at the innovation trigger, climbing to the peak, on their way down or have reached the plateau.

By following the steps discussed in this session, organizations can effectively assess their D&A governance platform requirements, ensuring they select a solution that address critical use cases, and overall business performance.

Successful data science teams require the alignment of technical talent, business goals and collaborative culture to drive high-impact analytics outcomes. Leaders and members of these teams have a vital role to play to ensure optimal collaboration and impact. This session highlights what modern data science teams look like, the vital and exciting work they do, and how to ensure these teams thrive.

Come together for a discussion with peers to discuss data mesh and data fabric, and where you're having success. 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 will be looking forward to meeting with you.

Data fabric and data mesh are not mutually exclusive. Join this session to learn about how D&A leaders can put an end to a five-year long debate comparing fabric and mesh. You can deploy them independently, or best-case together. You will find out how you can deploy the fabric design to unify data management and mesh operating model to distribute data management in a sensible manner.

Agentic systems have become a reality. However, many IT leaders are uncertain about how they will evolve or how they can be used to gain advantage. Join this session to explore the evolution of AI agents, from simple agents to autonomous multi-agent systems.

For over a decade, we have sought a holistic, unifying theory of data management. This presentation documents the quest, and touches on the data and analytics infrastructure model (DAIM), metadata, data fabric, data ecosystems, and FinOps. Each of these is required and together they address everything from infrastructure to AI to strategy communications.

This presentation of Gartner's top D&A predictions for 2024 guides data and analytics leaders as they plan for the impact of AI on all aspects of data and analytics, including leadership, governance, talent, market, and the need for AI-ready data and a FinAI competency for value realization.

This workshop will cover the end-to-end process of managing a data product, from ideation to launch. It will include product roadmap development, stakeholder management and go-to-market stra tegies.

This primary goal of this workshop is to equip participants with strategies and practical techniques to secure enterprisewide support for data governance initiatives. The workshop focuses on building a compelling business case, engaging key stakeholders and demonstrating the value of data governance to the organization.

AI initiatives often stall when data teams can’t keep up with business demand for fast, self-service data. Whether it’s AI agents, BI tools, or business users—everyone needs data, but the pipeline-centric modern data stack wasn’t built for this kind of agility. In this session, learn about how an Instant Data Fabric enables data teams for self-service at AI scale by instantly generating contextual Data Answers from distributed enterprise data for consumption by business teams. Discover how leading organizations are using this new data architecture to accelerate AI adoption without comprising governance and control.

GenAI systems are evolving beyond basic information retrieval and question answering, becoming sophisticated agents capable of managing multi-turn dialogues and executing complex, multi-step tasks autonomously. However, reliably evaluating and systematically improving their performance remains challenging. In this session, we'll explore methods for assessing the behavior of LLM-driven agentic systems, highlighting techniques and showcasing actionable insights to identify performance bottlenecks and to creating better-aligned, more reliable agentic AI systems.

As we enter a new era of productivity, automation isn’t about armies of robots—it’s about enabling better decisions through algorithms. For knowledge workers, the true transformation is human-centric.
While generative AI and robotics capture headlines, the real foundation of successful automation is high-quality, well-governed data. Without it, your AI initiatives will stall, and your brand could suffer.
Join Soda and LexisNexis Risk Solutions to explore how empowering your people with data governance, observability, and literacy is the key to unlocking the full potential of agents and GenAI.

Reclaiming focus is crucial, necessitating a re-evaluation of digital habits and the cultivation of digital well-being practices. This keynote addresses the impact of digital labor intensification and the psychological effects of doom scrolling on focus, deep work, and mental health. Rahaf explores strategies for individuals and organizations to mitigate these challenges, promoting a balanced digital engagement. She offers actionable insights, including policies to reduce digital overload, encourage detoxes, and foster environments for focused work. Practical solutions for managing distractions, promoting mental health, and fostering a mindful digital culture are shared for both organizations and personal lives.

Data teams are faced with increased demand for trusted data assets, but struggle to quickly and safely grant access to the most validated data. In this session, Schroders will share how they've enhanced discoverability and governance of data across the enterprise using Collibra's unified governance for data and AI to enable data consumers to easily find and access the trusted data they need. Learn how building a curated marketplace of data products has helped foster greater collaboration and increased the safe usage of data for greater advantage.

Power BI and Microsoft Fabric have become the data hub for your organisation, providing everyone access to your critical and sensitive data. Whilst incredibly powerful, this also brings significant risk.
Including real world case studies, this session will look at how you can protect your organisation, your data, and yourself, through effective governance, auditing and disaster recovery within Power BI and Fabric.
This will cover effective planning, risk management, license reduction, FinOps, permissions monitoring, audit trails, and more.

Join us for a session focused on unlocking the real potential of AI through product thinking. Dive into why AI projects aren’t taking off. Discover the most important metric for GenAI applications. We'll walk through Shape, Nail, Scale, Run – a practical framework for turning AI ideas into successful, scalable solutions. Be inspired by a real-world case study of what we did for the UK’s oldest private bank with product-led thinking. This session is perfect for product leaders, designers, and anyone looking to bring AI to life in meaningful ways.

Join us for a networking reception on the Exhibit Showcase 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.

"We don't need to transform" said no CEO ever. Everybody's transforming, seemingly all the time. But transformations can feel like pushing water uphill, even when people agree that change is needed. This is because most enterprises overlook findings from neuroscience, behavioural science, and psychology that describe how people change and under what conditions. This keynote focuses on how to overcome four behavioural hotspots that show up in just about every transformation.

Given the ease with which AI-based initiatives can be executed nowadays, it is no surprise that more and more enterprises are considering adopting AI-powered autonomous analytics to make well-informed decisions more economically, improve operational efficiencies, and delight customers. Achieving the true promise of AI, however, requires access to data and the execution of such analytics in real time. Join this session to learn about data processing challenges and architecture patterns fueling AI-driven businesses.

In this exclusive session, we’ll explore how the London Stock Exchange Group (LSEG) is transforming its data governance journey with Solidatus, placing data lineage at the core. With its history dating back more than 300 years, LSEG’s complex data landscape has been shaped by acquisitions and historic systems, which presents unique challenges in mapping data flows across diverse technology stacks. Learn how LSEG is partnering with Solidatus to overcome governance challenges, achieve regulatory compliance, and why data lineage is essential for building trust in data products.