AI and Big Data Expo 2019, California

Architecture is the foundation of every organization's data strategy - it must align with the short and long term goals of the organization whilst creating an environment that supports data collection, processing, analytical & ML workloads. DataNext Architecture will deep dive into how organizations are using their architecture to create the foundation to become truly data driven. Showcasing how architecture underpins the value that an organization derives from its data initiatives.

PASS Data Community Summit is the go-to conference for data professionals to connect, share, and learn with peers and industry leaders. Summit happens in the Fall in Seattle, WA, and runs over 5 days, November 13-17. There are two days of Pre-Cons on Monday and Tuesday, and three days for the main conference Wednesday through Friday. Find out more about key timings for the week.

On April 10-11, 2024, we will be hosting a first of its kind comprehensive data, analytics, ML, and AI event in New York City at the North Javits Center. This is more than a conference; it’s a grand stage to stimulate big ideas, foster collaborative thinking, and chart your course for success in 2024 and beyond. Data Universe brings together 250+ global industry pioneers and 100+ sponsors and exhibitors, covering every aspect of business transformation and cutting-edge technology. Connect with ecosystem partners, gain valuable insights, and leverage expertise that could be the catalyst for your growth. This is a unique opportunity to participate in a brand-agnostic, internationally-minded data and AI event. Spread the word and encourage those in your network who would benefit from this experience. Please note, registration is mandatory to secure your place at Data Universe.

We believe in creating a memorable, collaborative, and effective experience focused on continuous improvement for Chief Data & Analytics Officers, Chief Data Officers, Chief Analytics Officers, and other top executives in data, analytics, artificial intelligence, business intelligence, IT, and data governance.