KIL Proposal:
Implement your target AI governance operating model by mapping governance pillars to key AI components and differentiating AI capabilities. This model should connect with other governance bodies and extend existing governance models to AI-specific considerations of trust, transparency and diversity.

Learn about proven techniques to boost the use and productivity of your self-service analytics environment. What works and what doesn't? What should you prioritize if you're just getting started? How can you keep the environment fresh as you mature? What should you be thinking about in addition to analytics as you build and grow your approach? Join us to know the answers to such questions.

A heightened need for trust in our data, its lineage, and use, has propelled governance of master data, in particular, from a nice-to-have to a critical foundational pillar of D&A and AI initiatives. This session covers key considerations across people, process and technology in running a successful MDM program that delivers tangible business value and sustainable governance.

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.

Implementing AI governance can be challenging, navigating this in the public sector is particularly so with risk focus often overshadowing value and benefits. This roundtable will explore practices in overcoming challenges to achieve success in AI Governance with specific focus on public sector aspects including data, regulations and workforce.

CDAOs and AI leaders often struggle to get started with GenAI. Attend this session to understand the first critical components you need to build or buy: Data, AI Engineering tools, a search and retrieval system, the application, and the right types of models. With these building blocks, you can build several working GenAI prototypes to help you prove the value and justify further investments.

While AI is popular in the media, surveys show about half of organizations struggle with basic data science, fearing they will fall behind. This fear can hinder progress, especially in certain industries. However, they don't have to choose between AI and foundational data science. By combining predictive and prescriptive analytics, organizations can leverage the best of both worlds to create better solutions.

Cloud has exposed the cost of individual workloads at a highly granular level. It is, in essence, a complex cost optimization problem. This session provides the tools for D&A leaders to understand how to manage and evolve cloud-operating models. We provide the foundations in the three rings of financial governance, and explore the state and future of FinOps.

This session will delve into the challenges data management leaders face and provide recommendations to address them. By understanding and tackling these challenges, leaders can optimize their data management strategies and drive informed decision making.

CDAOs are making investments daily. Perhaps you're looking to grow your team, or maybe making a technology investment to support GenAI, or another investment where you need to build buy-in and gain funding. This workshop will help you develop personal influence skills while also building a strong story for investment.

We will discuss the latest burning issues that heads of data governance must address, and also provide recommendations to manage and exploit emerging opportunities. With an understanding of the influencing drivers and trends, leaders will be equipped to optimize their data governance strategy.

Disruptions are fundamental shifts that create lasting changes that do not die away unless disrupted by something else. CDAOs must embrace the notion that disruption will continue and become more frequent. This will decide who leads and who follows. This session examines seven disruptions that are closer than you think and should be on the CDAO's strategic radar.

Despite the popularity of retrieval-augmented generation, organizations are struggling to optimize large language model applications based on RAG. Attend this session to get suggestions and recommendations on improving your RAG solution, LLMOps for RAG systems and scaling considerations.

Decision intelligence is quickly gaining traction as the discipline that aims to connect analytics and decision making. But how to make decision intelligence a reality? Where to start, which approach to follow, how to go about the reengineering and modeling of decisions and which decision intelligence platforms are available? This session will address these and other emerging practices to improve your business impact.

Many CDAO were technical practitioners first but success as a CDAO requires an enhanced skill set of an elite executive. Many data functions operate as data order takers and service providers for their organization, restricting their influence and impact. This session examines the ways in which the CDAO and the data functions can elevate themselves into positions of power and influence.

This session is crucial for organizations aiming to maximize the utility of large language models by integrating internal data. Gain actionable insights and practical solutions to improve model performance and business outcomes. Ideal for technology leaders, data scientists and business strategists looking to harness the full power of LLMs.

Organizations have limited time to meet requirements with the coming of European AI Act. This may likely have more impact than the GDPR did. It is critical to take action now. The US, China and others have their own strategies. Join us to know how D&A leaders can plan and execute strategy in this fragmented landscape, and how ethics, governance and practical strategy help achieve durable AI value.

The roundtable will explore the benefits and challenges of both the approaches and aim to find a middle ground that combines the strengths of both adaptive and control governance. Participants will discuss how to strike a balance between agility and stability, innovation and risk management, and empowerment and accountability.

Data management continues to evolve and is increasingly becoming a dedicated function led by heads of data management. Gartner has been investigating what makes heads of data management successful. This session will discuss the key characteristics around organizational structures, operating models, architecture and technology to establish characteristics of successful data management.

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.

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.

CDAOs implement self-service analytics (SSA) to enable data-driven decision making across their organizations. However, SSA initiatives often fail to deliver on their full potential due to governance, trust, scalability and adoption challenges. This presentation provides a framework for CDAOs to balance control and agility within SSA to drive meaningful business value from data.

GenAI may excelling in some areas but fail in others, complicating the business case. CIOs often underestimate costs, which can scale by 500%-1000%. Productivity is a key benefit but hard to prove to CFOs. Should you invest in chat-style GenAI for 100K employees or near-custom AI for 50 R&D staff? Join our session to master cost scaling, value harvesting beyond productivity, and creating a portfolio of GenAI investment options.

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.

Data and analytics leaders must operate within the realities of the geopolitical impacts that we now face. These include an increased focus on contingency planning for diverse vendor selection, avoid reliance on products or technologies that may be subject to trade policies or other restrictions and confronting increased costs.