Agenda

Wednesday, November 8, 2023
10:00 AM - 11:00 AM (EST)

In this keynote, Steve Yapsuga plans to discuss the changing needs of today's economy that has impacted today's tenant, the dynamic change of the commercial building environment, and how Technology Infrastructure is here to save the workforce.

Steve Yapsuga
 
11:00 AM - 12:00 PM (EST)

In an increasingly interconnected world, the convergence of power and technology is reshaping the landscape of modern construction. Our webinar delves into the pivotal role of fault-managed power distribution in shaping the trajectory of smart buildings. However, not any fault-managed power system will suffice. It is essential that the implemented system adheres to the standards established by regulatory authorities. This webinar will additionally provide participants with the opportunity to see the inventive solution engineered by Panduit, which fulfills the specified criteria.

Our lineup of distinguished speakers from Panduit, Cisco, and UL will guide participants through a thought-provoking journey, shedding light on the mutual relationship between fault-managed power distribution and the evolution of smart buildings. Join us to envision a future where architecture, technology, and energy converge, reshaping urban environments for a smarter and more sustainable tomorrow

Mahmoud Ibrahim Frank Straka Ken McKinney Andrew Lu

12:30 PM - 1:30 PM (EST)

Join us for an insightful webinar designed for building owners, executives, facility managers, financial decision-makers, sustainability advocates, and their teams. Together, gain valuable insights into the power of collaborative efforts in optimizing building operations. Discover how data can align strategic objectives and deliver successful outcomes achieved through teamwork.

 

Key Takeaways:

· Empower your organization with the tools and knowledge needed to establish unified objectives across teams

· Utilize the potential of data from your building systems to enhance operational efficiency

· Measure results and pave the way toward successful business outcomes through data-driven decision making

Kristy Schomaker Kurt Barrett Neil Alexander

1:30 PM - 2:30 PM (EST)

AI and machine learning have emerged as crucial technologies in building energy management. With the increasing demand for energy-efficient and sustainable buildings, it has become imperative to develop efficient strategies for energy consumption. 

AI and machine learning offer immense potential in optimizing energy usage, reducing costs, and improving the overall environmental performance of buildings. One of the key contributions of AI in energy management is the ability to accurately predict energy demand patterns. By analyzing historical data, machine learning algorithms can identify trends and patterns that human operators may not be able to detect. This enables building managers to make informed decisions about energy consumption, such as adjusting heating, ventilation, and air conditioning (HVAC) systems or turning off lights in unoccupied spaces. 

AI can enhance building automation systems by continuously monitoring and adjusting energy usage in real time. By integrating sensors and data analysis techniques, AI can optimize energy consumption based on occupancy, weather conditions, and electricity prices. Such intelligent systems can automatically adjust lighting, temperature, and other building parameters, resulting in energy savings without compromising occupant comfort. 

AI technologies can also be applied to fault detection and diagnostics in building systems. By analyzing data from various sensors and detecting deviations from normal operating conditions, machine learning algorithms can identify potential faults or inefficiencies in equipment. This enables early detection and prevention of energy waste or equipment failures, leading to improved maintenance and reduced operational costs. 

AI-based energy management systems can provide valuable insights and recommendations to building operators. Data-driven analytics can identify the most energy-intensive areas within a building and suggest targeted energy-saving measures. These recommendations may include retrofitting outdated equipment, optimizing energy distribution, or implementing renewable energy solutions. Overall, the importance of AI and machine learning in building energy management lies in their ability to optimize energy consumption, reduce costs, and enhance sustainability. By leveraging these technologies, buildings can become more energy-efficient, environmentally friendly, and aligned with the global push for sustainability.

Chad Langston

2:30 PM - 3:30 PM (EST)

The smart building security tech stack is changing quickly, particularly for the Multihousing and Hospitality markets. First and foremost, all access solutions must assure safety and security. Today’s smart trade professionals, property owners, and property managers are also focused on adapting their security to meet changing resident and guest needs. The key to success is achieving the security technology requirements needed now and setting the stage for scaling forward in the future. 

 

Join dormakaba’s Multihousing access solutions expert Bobby Welliver and Hospitality access solutions expert Darien Long as they discuss how properties can best navigate the many opportunities to build comprehensive access solutions.  

Darien Long Bobby Welliver

3:30 PM - 4:30 PM (EST)

BOMA BEST building certification program encourages smart and sustainable solutions for existing buildings, promoting health, efficiency, cost-effectiveness, and low-carbon performance. Learn how to achieve optimal building performance through case studies, statistics, and best practices of BOMA BEST buildings.

Don Fairgrieve-park
 
Time Zone: (UTC-04:00) Eastern Time (US & Canada) [Change Time Zone]

Sessions will be immediately available On-Demand