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Data Forum

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ULI Data Forum
Join the Conversation
October 30, 2023
11:30 AM - 4:30 PM PT
Los Angeles Convention Center - West Hall, 406A
The Fall Meeting’s Data Forum will focus on the increasing role organized and structured data plays in real estate and how it will lead to the wide adoption of AI tools in the future. Organizing vast amounts of siloed data into useful information is a central challenge for organizations. To help address this challenge, this Fall’s Data Forum will provide a new Data Framework and Workflow Framework to help attendees understand and leverage data more effectively in their organizations. The Forum will also share how new AI tools can empower organizations in multiple ways with demos and real-world examples. If you are an Associate Member of ULI and wish to attend, please email [email protected].
 
 

Register Today

Registration for the Fall 2023 Data Forum is now available. Register today using the Fall Meeting attendee portal.
Have questions about the Data Forum? Email Lian Plass at [email protected].


Agenda

11:30 a.m. – 11:00 p.m. Full-member Forum Networking Luncheon
1:00 p.m. – 1:30 p.m. Break
1:30 p.m. – 1:45 p.m.
  • Welcoming remarks
  • Attendee introductions
  • Review of the session agenda and speakers

Moderator:
David Wilts, founder/CEO, Digital Masterplanning

1:45 p.m. – 2:00 p.m. The ULI Data Forum Data Framework and the Importance of Structured Data

  • Overview of structured vs. unstructured data
  • The Data Framework and the differences between different types of data
  • How other industries leverage structured data
  • Examples of structured data tools
  • Pros and cons of structured vs unstructured data

Speaker:
David Wilts, founder/CEO, Digital Masterplanning

2:00 p.m. – 2:20 p.m. VTS Presents on Structured Data Integration and Insight
VTS will share how integration of systems with structured data helps organizations to improve their workflow, accuracy, and efficiency. Examples will be shared how integration can also empower organizations to provide team members with better insights around assets and the market

Speaker:
Lexi Russell, Senior Manager, Data Management – VTS

2:20 p.m. – 2:40 p.m. Taking Action to Address Embodied Carbon Requires Better Project and Product Data Transparency
Gensler presents how they are committed to creating a new process to better document the embodied carbon footprint for new construction, and, ideally help reduce the footprint going forward. As part of ULI’s work to help members and their organizations to decarbonize and move the industry towards net zero, this session will focus on the importance of both embodied carbon and operational carbon tracking and reporting with better data practices.

Speakers:
Andrew Starr and Dinesh Prabaharan, Gensler Data Science Team

2:40 p.m. – 3:00 p.m. New AI Tools and Real Estate
First, an overview of AI tools and their potential impact on the real estate industry will be shared, then different industry organizations will share new AI tools that are being leveraged to help organizations attain a higher level of efficiency. Examples will include AI tools for design as well as examples of content and document creation.

Speaker:
David Wilts, founder/CEO, Digital Masterplanning

3:00 p.m. – 3:50 p.m. Working Session: Exploring How a ULI AI Tool Could Benefit Members
ULI’s Executive Vice President of Information Technology, George Danilovics, will share ULI’s current Knowledge Finder tool along with its current features and functionality. Then, taking into account the AI tools that were shared Data Forum attendees will be asked to brainstorm and share how AI-based tools leveraging the Knowledge Finder data could empower the industry. Groups will share their thoughts and ULI will utilize findings in the further development of tools to empower ULI members and their organizations.

Moderator:
David Wilts, founder/CEO, Digital Masterplanning

Speaker:
George Danilovics, Executive CP – IT, ULI

3:50 p.m. – 3:55 p.m. Thank you!
5:00 p.m. – 6:30 p.m. 2023 ULI Fall Meeting Welcome Reception
Belasco Theater

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