Expanding knowledge and driving growth.

October 10-11, 2023
New Orleans, LA

Agenda

SkyPosium 2023 will take place October 10-11 in New Orleans, Louisiana. Day one will be a half-day, beginning in the afternoon. Day two will be a full day. The agenda will include program tracks covering applications, business topics, best practices and hard-core developer topics with significant portions of the content presented by community members. A general session delivered by SkyFoundry opens the event to bring everyone up to speed on the latest features and capabilities of SkySpark and provide a preview of our roadmap.

Tuesday, October 10, 2023

12:00-1:30pm
Lunch, exhibits, and networking

1:30-5:00pm
General Session presented by SkyFoundry

6:00-8:00pm
Reception, dinner, and exhibits

Wednesday, October 11, 2023

8:00-9:00am
Breakfast and exhibits

9:00am-12:30pm
Parallel Breakout Sessions – Applications/Business & Developer

12:30-1:45pm
Lunch, exhibits, and networking

1:45-4:45pm
Parallel Breakout Sessions Continue – Applications/Business & Developer

More details on tracks and sessions coming soon!

SESSION TOPICS

General Session:

  • Xeto review and enhancements
  • Xeto.dev
  • CNI state of affairs
  • SkySpark 4 roadmap for 2024
  • Electric vehicle (EV) product introduction
  • Niagara Arcbeam

Applications & Business Track:

  • Arc in practice – how BAM uses arc in daily workflows
  • Chillers – data driven maintenance and efficiency
  • Considerations for a Distributed Data Strategy
  • More Than Energy Savings: The Specific Advantages of Machine Learning in Building Management+E2
  • Utah Olympic Park and Utah State Correctional Facility – some background and updates on where they are now.
  • Sandstar, milesight LoraWan integration, SandStar foundation and mobilytik.
  • TBD
  • TBD

Technical Track:

  • Xeto
  • Niagara Arcbeam
  • SkySpark 4 roadmap for 2024
  • Modern Java Script (JS) in Fantom and SkySpark
  • EV charger deep dive
  • Building connectors – Optimization and Efficiencies
  • Machine learning (ML) and python with SkySpark