Project Haystack is proud to be a Supporting Organization of CxEnergy 2022!

CxEnergy 2022 is the premier event in commissioning, energy management, and building analytics and diagnostics, The 30 educational sessions, state-of-the-art Expo Hall, and professional networking opportunities take place April 19-22, 2022 at the Caribe Royale, Orlando, FL. CxEnergy draws hundreds of the nation’s leading commissioning experts, energy management professionals, MEP engineers, HVAC testing professionals, facility managers and building owners.  Learn more and register at www.CxEnergy.com.

Registration is FREE to ACG, AABC, and EMA Members; $199 for Non-Members; (Members of Project Haystack receive a 10% discount with promo code HAYSTACK10).

Project Haystack is excited to announce that the Fall 2021 Connections Magazine is in development and is issuing a Call for Advertisers from the community that provides Haystack-compatible products and solutions around the world. It is scheduled to be published in December 2021. Connections Magazine, published bi-annually, documents how the Project Haystack community is applying or implementing the Haystack Tagging methodology in the building and facilities management industry. Facility owners, operators, managers and service companies recognize that a standardized approach to semantic data modeling is key to overcoming the hurdles related to effectively using the data produced by the built environment.

We are excited to announce that the Fall 2021 Connections Magazine is in development and we are issuing a Call for Contributed Articles from the community providing Haystack-compatible products and solutions around the world. It is scheduled to be published in December 2021. Connections Magazine, published bi-annually, documents how the Project Haystack community is applying or implementing the Haystack Tagging methodology in the building and facilities management industry. Facility owners, operators, managers and service companies recognize that a standardized approach to semantic data modeling is key to overcoming the hurdles related to effectively using the data produced by the built environment.