The Cherre Data Summit is one of the only events that brings together the real estate industry’s technical leaders for a day of tech-focused discussion – allowing techies to brainstorm with their peers on the solutions and products needed to meet the technology and data challenges of the future.
The Agenda
We’ve curated the day to bring you a mix of networking, technical keynotes and workshops, and a little fun. Start off with breakfast and a high-level overview on the driving factors behind tech projects, and then move into implementation best practices.
After a networking lunch, choose one of four tracks – with speakers from companies like Google, Mashey, Qualytics, Qwak, and Databand:
Track 1: Know Your Data – Take a deep dive into the datasets that drive unique use cases with Cherre’s Data Partner Network.
Track 2: Data Science and Real Estate – These sessions will cover everything from feature stores, to processing “Big Data,” to modeling with real estate data.
Track 3: Data Governance and Observability – This track will take you through enriching data quality, building the right data architecture, and ensuring data pipeline reliability.
Track 4: Data Visualizations and Tooling – Learn all about designing the right dashboards, the various BI tools and what they are best used for, and data tooling with dbt.
After you’re done flexing your brain, recharge during our complimentary happy hour with your peers.
Where and When
The Cherre Data Summit is Thursday, May 19 from 8:30 am to 6:30 pm (Eastern) in NYC.
Who Should Attend
This exclusive, free event is ideal for:
Space is Limited – Request Your Invite Now!
To ensure that this one-day summit is informative and valuable for the real estate industry’s tech teams, the event is invite only.
Visit the sign up page to learn more about the event and request your invite to the data summit.
As the real estate industry pushes forward into a data-driven future, one thing is clear: those who have true trust in their data and the pipelines that feed their insights will excel in an AI-driven future.
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