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Kilroy | Indeed Tower: Reimagining the Office High-Rise
Listen to this articleThe IBcon Smart Building Best Practice Showcase is an annual event held at the Realcomm | IBcon conference where real estate leaders present their most innovative, technology driven commercial and corporate real estate projects. These projects demonstrate leading-edge technologies and vision for intelligent and adaptive design that is transforming the next generation of IT-enabled real estate. The Weekly News Briefing will feature a unique Showcase project each week.
Kilroy, a premier developer and owner of Class-A commercial properties, has a new presence in Austin, Texas. 
Indeed Tower is the first project in the area for the company, continuing Kilroy’s goal in setting new benchmarks for technology-driven sustainability, productivity and wellness in sites across a wide range of industries.
The retrofit for Indeed Tower was planned and designed under the principles of Kilroy Property Standards to ensure that integrations and technology solutions can meet the evolving needs of business now and into the future. Ideally located and amenity-rich, Indeed Tower has achieved multiple certifications, including LEED V4 Platinum, WiredScore Platinum, SmartScore Platinum, and Well Rated.
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Realcomm Staff
Realcomm Conference Group LLC is the leading research and educational institution that produces annual conferences and expositions on technology, automated business solutions and intelligent buildings strategies for executives in commercial, corporate, government and institutional real estate. Realcomm was founded in 1999 with the goal of bringing industry leaders together each year to discuss, demonstrate and debate the latest innovations that impact the industry. |
This Week’s Sponsor
Mapped started with the idea “what if every built space had an API?” Getting data out of buildings was a complex, time consuming and often manual process - weeks or even months of work. To solve the problem, we created a knowledge graph of people, places and things using machine learning to automate the process of data extraction and identification. We then built a simple, secure and unified API on top; now anything that generates data - devices, sensors, enterprise applications and more - is accessible quickly, easily and securely.
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