Data Summit 2025 is a unique conference that brings together IT practitioners and business stakeholders from all types of organizations. Featuring workshops, panel discussions, and provocative talks, attendees get a comprehensive educational experience designed to guide them through all of today’s key issues in data management and analysis. Whether your interests lie in the technical possibilities and challenges of new and emerging technologies or using Big Data for business intelligence, analytics, and other business strategies, we have something for you!
Access to all tracks including AI & Machine Learning Summit plus Generative AI Boot Camp and Data Engineer Boot Camp is included when you register for an All-Access Pass or Full Two-Day Conference Pass. Attendees may switch between tracks as they choose. Only interested in the two-day AI & Machine Learning Summit or our one-day Boot Camps? Stand-alone registration for this content is also available.
We are hard at work putting together the program for Data Summit 2025. Check back in early-2025 for full program details. Or, submit a proposal to speak via our Call for Speakers!
Preconference Workshops
Data Summit 2025 offers a series of preconference workshops providing immersive training for data professionals. Workshops are part of the All-Access Pass or may be registered for separately at $295 each when you register by the early-bird deadline.
Track A: Modern Data Strategy Essentials Today
Modern Data Strategy Essentials Today is your guide to the key principles data-driven companies are applying to achieve success in our increasingly complex world of data sources, types, applications, requirements, and user expectations. Attend this track to learn how to align technology, people, and processes with the complete data journey and the capabilities that support your current and future needs.
Designed for chief information officers, chief data officers, digital transformation leaders, IT business liaisons, enterprise architects, data architects, data engineers, and data management and analytics professionals.
Track B: What’s Next in Data and Analytics Architecture
What’s Next in Data and Analytics Architecture drills down on shifting trends and emerging best practices that are helping companies achieve more flexible, modular, and distributed data infrastructures to support modernization and innovation. Attend this track to gain a deeper understanding of the new technologies and strategies driving greater speed and scale, and improved governance and security, at organizations hungry for fast, actionable insights.
Designed for chief information officers, chief data officers, enterprise architects, data architects, data engineers, data scientists, and data management and analytics professionals.
Track C: Generative AI Boot Camp
By identifying patterns in vast sums of data and creating human-like content at lightning-fast speeds, GenAI applications have emerged as a powerful tool for automating and optimizing a wide variety of tasks. Although adoption is still in the early stages, many organizations are currently testing and deploying GenAI applications in pursuit of greater efficiency and productivity. At the same time, succeeding with GenAI requires overcoming a range of challenges—from legacy infrastructure and skills shortages to governance and security risks, data quality issues, and trust and transparency concerns. Attend this boot camp to dive into the key technologies and emerging best practices.
Designed for chief information officers, chief data officers, data architects, data engineers, data scientists, and AI engineers and developers.
Track D: AI & Machine Learning Summit
AI and related technologies, such as machine learning, neural networks, and text analytics, have created new and powerful opportunities for businesses. Innovative uses of language models integrated with generative AI hold enormous promise for positive change within enterprises. At the same time, ethical considerations and the widely known tendency of generative AI to fabricate information must be top of mind. The AI & Machine Learning Summit is a 2-day immersion into the possibilities inherent in an AI-driven future, offering the opportunity to harness AI & ML’s transformative potential.
Designed for chief information officers, chief data officers, data scientists, data engineers, enterprise architects, data analytics directors and managers, application developers, and tech-savvy business leaders.
Track A: Emerging Technologies and Trends in Data and Analytics
Emerging Technologies and Trends in Data and Analytics takes you through the most exciting developments reshaping the industry and helping businesses close the data value gap, from the rise of data fabric solutions and edge analytics to the spread of XOps and real-time capabilities. Attend this track to dive into innovative new technologies and practices to meet growing challenges and opportunities.
Designed for chief information officers, chief data officers, digital transformation leaders, enterprise architects, data architects, data engineers, data scientists, and data management and analytics professionals.
Track B: Navigating the Hybrid and Multi-Cloud Future
Navigating the Hybrid and Multi-Cloud Future explores the growing array of cloud types and services being adopted by enterprises, accompanying opportunities and challenges, and how enterprises are rethinking traditional data management technologies and practices to truly unlock the value of cloud data and analytics in the real world. Attend this track to dive into key solutions and strategies to overcoming hot-button issues, from migration mistakes to licensing and FinOps to performance, security, governance, and integration tips.
Designed for chief information officers, chief data officers, digital transformation leaders, IT managers and directors, enterprise architects, data architects, cloud architects and engineers, and data management professionals.
Track C: Data Engineer Boot Camp
As the builders and keepers of the data systems and pipelines that fuel insights, data engineers are expected to wear many hats, and their role continues to grow in importance. With many organizations focused on accelerating their AI and analytics capabilities, there is an enormous demand for secure, trusted, easily accessible data. For data engineers, this means new user requirements, new workloads, and more challenges. Data infrastructure complexity, data silos, governance, and security all top the list. Still, the world of data engineering is evolving fast—from cloud data platforms and tools for ingesting, processing, integrating, and analyzing data to data catalogs, active metadata, and data observability. Attend this boot camp to dive into the latest technologies and strategies for success.
Designed for data engineers and anyone interested in data engineering.
Track D: AI & Machine Learning Summit
AI and related technologies, such as machine learning, neural networks, and text analytics, have created new and powerful opportunities for businesses. Innovative uses of language models integrated with generative AI hold enormous promise for positive change within enterprises. At the same time, ethical considerations and the widely known tendency of generative AI to fabricate information must be top of mind. The AI & Machine Learning Summit is a 2-day immersion into the possibilities inherent in an AI-driven future, offering the opportunity to harness AI & ML’s transformative potential.
Designed for chief information officers, chief data officers, data scientists, data engineers, enterprise architects, data analytics directors and managers, application developers, and tech-savvy business leaders.
