Rifiniti WorkTech West 2017
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The document discusses how predictive analytics and building IoT (BIoT) have evolved over time to improve facilities management. It notes that early BIoT focused on data collection and diagnostics, but now utilizes deep learning and big data to deliver predictive workplace experiences. Specifically, predictive analytics powered by BIoT can analyze worker capacity, utilization, and mobility patterns to help facilities managers make confident decisions around space optimization and other real estate strategies. The document concludes that AI and machine learning will increasingly be used with BIoT data to automate workplace and facilities management.
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Rifiniti WorkTech West 2017
- 2. Predictive Analytics & Building IoT Anthony Delli Colli Rifiniti www.rifiniti.com October 24th 2017
- 3. BIoT: what we’ve gained 1.0 Sensors, Data Collection Continuous Learning Fault Detection & Diagnostics 2.0 More Sensors, More Data Limitless Data Storage, Processing Emergence of Predictive Analytics 3.0 Deep Learning, Big Data Ambient Sensory Infrastructure Deliver Workplace CX
- 4. worker capacity (90 days) utilization – 75% currently at capacity utilization – 50% worker capacity (120 days) utilization – 40%
- 5. Photo credit: Ronal Tilleman, deloitte.com TheEdge
- 6. Where do I work today? Sense Connected Workplace Infer Services Identify Data StrategyData Security Workplace AnalyticsSpace Utilization Work Interactions with tasks 31 Calendar Interactions with people Social Networks BuildinganIntuitiveExperience
- 7. 7 MobilityEmployee Mobility 35% of employees are in the office 50% Real Estate Costs 2nd largest expense after salary and benefits Underutilization <40% office space effectively utilized Confident decisions though predictive analytics, AI-powered workplaces, and real-time benchmarking intelligence
- 9. AI and Machine Learning will enter into CRE, leveraging BIoT to automate workplace strategies.
- 10. Thank You. Anthony Delli Colli www.rifiniti.com adellicolli@rifiniti.com I @adellicolli (twitter)
Hinweis der Redaktion
- Predictive Analytics & BIoT Summary: Buildings are turning into enormous branding opportunities. …and data lakes. Today we are seeing accelerated deployment of a great variety of sensors and consumer devices generating exponentially more data, and the proliferation of systems to support them. Today, predictive analytics are most frequently applied to further optimize real estate operations. Tomorrow, predictive analytics will guide workplace strategy design and real estate portfolio utilization strategy. IT must become a core competency of CRE.
- For example, a machine can sort through millions of data points to tell you how different buildings in your portfolio are being utilized, but only a person can determine if that's good or bad or what needs to change based on the company’s direction.
- A leading example of success is The Edge in Amsterdam. Highly efficient with respect to energy, water, waste, it also provides unique services to occupants. For example, smartphone app integrates with the building to direct workers to a free parking spot and workspace. The app can even suggest seating locations based on your preferred temperature, and bathroom sensors alert staff when they need servicing or cleaning. Espresso machines remember how you like your coffee.
- A leading example of success is The Edge in Amsterdam. Highly efficient with respect to energy, water, waste, it also provides unique services to occupants. For example, smartphone app integrates with the building to direct workers to a free parking spot and workspace. The app can even suggest seating locations based on your preferred temperature, and bathroom sensors alert staff when they need servicing or cleaning. Espresso machines remember how you like your coffee.
- The same kind of Deep Learning AI will enter into CRE, leveraging not just BIoT but the entire IoT in applications that serve the CRE function as well as employees or end users.
- The same kind of Deep Learning AI will enter into CRE, leveraging not just BIoT but the entire IoT in applications that serve the CRE function as well as employees or end users.