Predictive Analysis

Smart Buildings

KODE Labs Smart Buildings Business Examined

February 26th, 2024
Energy

HVAC Optimization Technology Proves its Energy Efficiency Potential in Commercial Buildings

June 28th, 2023
Smart Buildings

Mapping the Strategic Direction of JLL in the Smart Buildings Space – Part 1

This Research Note examines the emerging strategic priorities of JLL in the smart commercial buildings space. We have mapped M&A, divestments, strategic partnerships and investment activity to ascertain the growth ambitions of the company, by categorizing the various business relationships by technology and investment type over a 3-year period.  This article, Part 1 of a 2-part analysis, is intended as […]

Smart Buildings

De-Risking Building Management with Insured Business Outcomes and Predictive Analytics

This article was written by Daphne Tomlinson, Senior Research Associate at Memoori. Alliances between smart building solution providers and Insurance companies are enabling improved building performance through predictive analytics and insurance-backed guarantees. Three examples from early innovators described in this article reduce the risk that a company takes when deploying a new technology and may […]

Smart Buildings

The March Towards Data-Driven Commercial Buildings Increases Pace

The global market for Big Data software & services in Smart Commercial buildings is experiencing robust growth, rising from $15.6Bn by the end of 2018 to $35.8Bn by 2023, representing a CAGR of 18%. Our new research report is an objective assessment of the market for Big Data Software & Services in Smart Commercial Buildings. […]

Smart Buildings

Sensing Machine Failure Before it Happens Through Predictive Maintenance

Unexpected downtime is terrible for any facility. Whether it’s a factory, data center or an office building, the impacts of unexpected downtime are wide-ranging and difficult to measure. When a key system suddenly fails; earnings may drop to zero, costs may remain high, stock may spoil, compensation may be due, customers may be lost, and […]

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