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.

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.

This session will delve into the critical role that emotional intelligence (EQ) plays in the successful implementation of data governance frameworks. It will explore how EQ can enhance collaboration, communication and compliance among stakeholders, ultimately leading to more effective data governance.

Tech and service providers are rapidly providing new AI capabilities and features to customers and hoping for leadership. Unfortunately, customers don't really know what to do with these features and are balking at the cost. This session explores a value journey, from features to transformation using a "value accelerator" model designed to align product strategies with customer outcomes.

There are many ways to show the value of the D&A program. This roundtable session is meant for participants to bring creative examples of how they were able to show the value of their program so D&A leaders can learn from each other's experiences.

Gartner's Analytics and Business Intelligence (ABI) Bake-Off showcases the capabilities of three vendors side-by-side on stage using live scripted demonstrations. Join this roundtable to discuss the ABI Bake-Off with your peers. How did key features compare in action? What were the main strengths and weaknesses of the platforms? Did the vendors change your mind about their products?

To come up with new ideas and move beyond incremental improvement, we must start imagining at the third horizon and work our way back to the now. Join this session to know what Gartner's most provocative predictions are and what we can learn from them as D&A leaders.

What is the role of CDAO? How can you assess if a particular job is a good fit for your aspirations? What common challenges do CDAOs face? What skills and traits are required to become a great CDAO? Whether a technologist aspiring to the role of CDAO, or a new CDAO not achieving the desired levels of traction, this session answers these questions and outlines three steps critical to laying a solid foundation for success.

Although retrieval augmented generation is a very popular architectural pattern for delivering Q&A over complex internal information, it is also extremely hard to build a high quality, high accuracy RAG system. Come to this session to learn the 7 gotchas of RAG systems and best practices to improve their performance.

Data management resources face increasing challenges due to growing demand, including the need for AI-ready data. It is essential for data management leaders to make sure that data management is not misdirected and aligns with the business value. Proper alignment will maximize the value of data management initiative and support business growth.

See through the hype to better understand the practical applications, risks, and aspirations of AI in the data governance industry. Find out how to position your data governance program as a leader for your organizations' AI initiatives.

AI explainability is crucial for fostering trust and creating responsible AI by providing transparency into decision-making processes, enabling accountability and mitigating biases. Join this session to know about some practices that D&A technical professionals must adopt to enhance AI explainability and trust, and ensure the responsible and accountable use of AI.

CDAOs need to rapidly gain enterprise trust and establish themselves as critical business enablers. They must create a strong, differentiated and successful brand for the D&A function, in order to gain stakeholder buy-in and engagement.

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.

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.

Data integration tools help organizations access, process, move and transform data. They support use cases like data engineering, modern data architecture, less-technical/business user support, and operational data integration. In this session, we'll present the latest Magic Quadrant for Data Integration Tools, discussing vendors and technologies to help you choose the best tool for your needs.

Most metadata in 2024 will remain passive in approaches with stats, reports, schema and business-developed glossary terms. Most organizations must grow their maturity in metadata management. We start with traditional metadata techniques — passive. With AI undergoing confidence issues and the demand to reduce risk, grow AI confidence, and provide data assurance, active metadata becomes key.

"Can we use AI for that?" is a question we've all heard by now. But should we? If yes, what type of AI fits, and what impacts should be considered? The regulatory landscape complicates matters with laws on data, AI technology, and ESG impacts, to name a few. Attend this session to learn five foundational steps to address in every AI project. While compliance isn't guaranteed with these steps, failure is likely without them.

This roundtable will facilitate an interactive discussion on common challenges and strategies for overcoming internal resistance to data products. Participants will share experiences and sol utions.

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.

The future of computing will be a virtuous cycle, where use cases drive compute mechanisms and vice versa, supporting human endeavors in a digital world. Data is central, but computing's future isn't a single paradigm. Its impact will deeply affect business and society, from augmenting human capability to autonomy. What will the three horizons look like? Join this session to learn more.

Data and analytics leaders can struggle to translate and assess the necessary investment and return value of D&A initiatives in the public sector. In this session, participants will learn frameworks for public sector value determination and communication and then build out value stories for their initiatives.

This very popular workshop shares the latest toolkit which can be used to diagnostically connect data, analytics, governance and their impact on business processes, decisions and outcomes.

Data lakehouses continue to be hyped, but do they replace or complement data lakes and data warehouses? Where do we stand from an architectural perspective? What is hype and what is real? What should be expected in the coming years?

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