Women in AI experts will provide a unique perspective on why it is important to start with the data for algorithms to be ethical, be it for new transformations or for enterprise transitions towards the Generative AI era. Data governance along with regulatory audits are not sufficient anymore, and the multifaceted responsibilities towards an accessible and inclusive future for all humans requires a comprehensive data strategy. The panelists will share industry perspectives from finance and sustainability that emphasize privacy, security, synthetic data, and maturity scores to scale ethical models.

Step into the dynamic world of data governance, business operations, and artificial intelligence (AI), where the unsung hero—metadata—takes center stage. Just like the perfect sandwich relies on clear definitions of its ingredients, this talk unveils the indispensable role of metadata in defining and organizing data.

George will share captivating real-life stories and examples on how clarity in definitions and metadata not only streamlines operations but also empowers decision-makers with invaluable insights.

Explore the backbone of AI advancement through essential data management tools: the Business Glossary, Data Dictionary, Data Catalog, and Machine Learning Metadata Store. Let's embark on a journey where unified interpretations pave the way for accuracy, efficiency, and success in the data-driven era.

The emergence of pre-trained deep learning models – e.g., Foundation and generative AI models – such as GPT-4, represents a paradigm shift in the utilization of AI. This keynote, rooted in the insights from "AI iQ™ for a Human-Focused Future," explores the profound differences between implementing these state-of-the-art pre-trained models and traditional machine learning/AI approaches. Find out why the ‘xOps’ paradigm is a fallacy, why the unique technical and operational challenges necessitate sophisticated data and model observability and the imperative for advanced and specialized computational infrastructure to support the intensive demands of these models.

We delve into the strategic considerations surrounding data governance, ethical AI use, and the integration of AI into business processes, underscoring the need for a comprehensive framework that encompasses technological implementation and alignment with organizational goals and values. The discussion extends to the critical role of having a single leader for AI – the Chief AI Officer.

Through a blend of strategic insights and practical examples, this presentation offers a roadmap for businesses looking to navigate the complexities of integrating these models. It provides actionable strategies for building the infrastructure, culture, and processes necessary to harness the transformative potential of these technologies, driving innovation, efficiency, and growth in the digital era. Join us to explore how your organization can transition from traditional AI methodologies to leveraging the power of generative models and observability ensuring a competitive edge in the rapidly evolving corporate landscape. 

They see your every move! You know it’s true: Your data is everywhere, the fingerprints of your behavior and movements captured by all manner of apps and devices. Does privacy still exist? The short answer is no, but striving toward it will help mitigate the many risks of inappropriate data access, and that’s really what “privacy” is all about these days! Check out this Fireside Chat with Data Warrior Kent Graziano and DM Radio Host Eric Kavanagh to learn more! They’ll talk about practical methods for designing and managing data governance programs, security protocols and most importantly: responsible behavior!

As organizations are exploring and expanding on their AI capabilities, Chief Data Officers are now responsible for governing the data for responsible and trustworthy AI. This session will cover 5 key principles to ensure successful adoption and scaling of AI initiatives that align with their company’s business strategy. From data quality to advocating for ethical AI practices, the Chief Data Officer’s mandate has expanded to compliance of new AI regulations. 

Peggy Tsai, Chief Data Officer at BigID and adjunct faculty member at Carnegie Mellon University for the Chief Data Officer executive program, will provide insights into the AI governance strategies and outcomes crucial for cultivating an AI-first organization. Drawing on her extensive experience in data governance and AI, this session will be an invaluable guidance for all participants aiming to adopt industry-leading practices.

This panel delves into the intricacies of building a cohesive and effective data ecosystem that drives organizational growth and innovation. In this session, our panel of experts will explore the foundational strategies for integrating diverse data sources, tools, and technologies to create a unified system that not only supports but enhances decision-making processes. Attendees will gain insights into best practices for data management, the importance of data governance, and how to leverage data for maximum impact. Discover how to navigate the challenges of data integration and use it to foster a culture of data-driven excellence within your organization.

Join us for an enlightening discussion on transforming your data ecosystem into a powerful engine for strategic advantage.

How do you craft a robust AI-focused data governance strategy that addresses not just technical issues, but also legal, ethical, and organizational angles? Any workable strategy must be able to adapt to an AI landscape that's changing almost any day, and will enforce responsible use of data.

In this session, Kristy Wedel will discuss the unique governance needs of AI, the critical importance of high-quality data, and policies that can evolve alongside learning algorithms through continuous assessment approaches. She will inclde data privacy and compliance—with a focus on GDPR and HIPAA—as well as ethical considerations, anonymization, and privacy. Attendees will leave with a practical understanding of documentation and how to equip stakeholders for success. Kristy will also offer practical guidelines for bias mitigation, fairness, and transparency in AI solutions.

When data is the most valuable asset of your company, protecting it is a non-negotiable. While Information Security professionals are focused on Bad Actors, we have data operations and data governance professionals focused on Bad Data… Are they one and the same? What’s similar and what’s different between the worlds of data integrity and data security?

Drawing from a wealth of experience and real-world challenges, Gorkem will shed light on the pivotal role of data quality in the forefront of information security. We’ll discuss opportunities for early detection, auto-detection, and the establishment of tiered rules to manage and remediate bad data effectively. Learn how proactive governance and observability can transform data management from a reactive stance to a formidable defense mechanism, ensuring the integrity and security of your data ecosystem. 

In today's data-driven world, organizations face the challenge of not only harnessing the power of data but also ensuring its responsible and effective use. This panel discussion will delve into the critical components of embedding data governance and data literacy into the fabric of organizational culture. Data governance forms the foundation of a robust data strategy, encompassing policies, processes, and frameworks to ensure data quality, integrity, and security. However, effective governance requires more than just frameworks; it necessitates a cultural shift where data stewardship is ingrained into every aspect of organizational operations. Moreover, data literacy is paramount in enabling individuals across an organization to effectively interpret, analyze, and derive insights from data. By cultivating a culture of data literacy, organizations empower employees to make informed decisions, driving innovation and growth. This panel will explore strategies for fostering a culture of accountability, collaboration, and trust around data practices driving sustainable success in today's dynamic business landscape.

Slow query engines are forcing users to copy data from open data lakehouses into proprietary data warehouses to achieve their desired performance, but this results in a complex, costly ingestion pipeline that undermines data governance. In this talk, we will dive into the latest developments in data lakehouse querying, why you should avoid using proprietary data warehouses for accelerating queries, and how enterprises like Trip.com are unifying their SQL workloads directly on open data lakehouses.

Join Jamie Underwood and Andy Hannah for a transformative deep dive into the Responsible Data Revolution. In this session, they'll explore the crucial intersection of innovation and advanced analytics, delving into the legal aspects surrounding it. With Jamie's expertise in navigating the intricacies of intellectual property and Andy's deep entrepreneurial and analytical experience, we'll uncover the ethical and legal considerations that arise in the era of big data and AI. 

From privacy concerns to intellectual property rights, they'll discuss the evolving landscape of data governance and responsible innovation. Gain insights into strategies for leveraging data ethically and responsibly while maximizing its potential for transformative innovation. This session promises to equip you with the knowledge and tools to navigate the complex terrain of the data revolution responsibly.

Data is the linchpin of competitive advantage. This session takes you on a deep dive into the revolutionary best practices of enterprise AI data pipelines. We'll unpack the complexities of data integration from multiple silos, orchestrating data to GPUs, and building fast and efficient infrastructure for AI. We'll explore innovative strategies for data governance, real-time processing, and seamless orchestration across disparate systems.

Learn how industry leaders are leveraging these practices to drive decision-making, enhance customer experiences, and catalyze digital transformation. Join us to empower your enterprise with the architecture that will lead tomorrow's Enterprise AI landscape, and walk away with a practical blueprint for constructing resilient, scalable, and efficient Enterprise AI architectures.