Data Engineering Events & Conferences
Stay at the forefront of Data Engineering innovation and development by attending these carefully curated events. Whether you're a researcher, practitioner, or industry professional, these Data Engineering conferences and gatherings offer invaluable opportunities for learning, networking, and collaboration.
Why Attend Data Engineering Events?
Upcoming Data Engineering Events (2)
AI DevSummit
AI DevSummit is the world’s leading AI developer & engineering conference, with tracks covering Chatbots, Machine Learning, Open Source AI Libraries, AI for the Enterprise, and Deep AI / Neural Networks. This conference targets software engineers and data scientists who are looking for an introduction to AI as well as AI dev professionals looking for a landscape view on the newest AI technologies.
Databricks Data + AI Summit
Databricks Data + AI Summit is the definitive global conference for data and AI practitioners seeking to transform their organizations through data-driven innovation. The multi-day event showcases the latest advancements in lakehouse architecture, machine learning operations, and enterprise AI adoption through technical sessions led by industry pioneers and Databricks experts. Hands-on labs and certification opportunities provide practical skills development while executive-focused tracks address strategic implementation challenges across industries. The summit's comprehensive ecosystem showcase features partners demonstrating integrated solutions for end-to-end AI implementation, making it essential for professionals building resilient, scalable data foundations for advanced analytics and artificial intelligence.
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About Data Engineering in AI
Data Engineering is a crucial area in artificial intelligence, driving innovation and practical applications across industries. By attending these events, you'll be part of the community shaping the future of Data Engineering technology and its applications.
Our curated list of Data Engineering events brings together the best conferences, workshops, and meetups in this field. Whether you're interested in research developments, practical applications, or networking opportunities, these events offer valuable insights and connections in the Data Engineering community.