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Building Data Foundations
Presented by David Blanch
What’s needed to power AI
Live Stream 2024
Live Stream 2024
AI can level the
playing field
Those who believe it
can save the world
Why change from
how we always have
done things
Applied technology
It’s simply a component
of the technology stack
The problem with
buildings is the lack
in data management
Technology is expensive and difficult to
obtain
If you can get the data, it lacks meaning &
structure
You still need a platform to gain insights
The building data
environment is completely
unpredictable
MODbus – Created in 1979
LONtalk – Created in 1990
BACnet – Created in 1987
OPC – Created in 1996
KNX – Created in 1990
Inconsistent engineering
Lack of ontologies
Inconsistent naming conventions
Change management
Lack of data quality
Live Stream 2024
Never-ending pursuit for building data
1979 2024
2014
1990 2021
Artificial intelligence
LONtalk
BACnet
MODbus
Pty BMS
Digital twinning
Independent data layer
Converged network
Machine learning
Cloud data
Building Data
FDD & analytics
Building data collection
Cloud data
API Integration
IoT Devices
FDD & Analytics
PaaS
Cloud data
IoT Protocols (MQTT)
ML/AI
Efficient deployment with automated tagging
rules, recommendations, and the ability to
support any ontology
Building data pipeline
BMS Data
Flat files CSV
Ontologies
APIs
MQTT
Bitpool
API
ingress
Bitpool
API
UI – Bitpool OS
AI Agents (AI
pipeline)
Public API
Collect & store Cleanse Model
Forecast &
predict
ML Pipeline
Training AI to understand the built environment
Training
framework
Wiki
Data
Scenarios
Haystack
AI Agent
User and
Consumer
Live Stream 2024
Using Bitpool AI
Live Stream 2024
Using Bitpool AI
Live Stream 2024
Using Bitpool AI
Live Stream 2024
Reporting with Bitpool Insights

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Laying the Data Foundations for Artificial Intelligence!

  • 1. Building Data Foundations Presented by David Blanch What’s needed to power AI Live Stream 2024
  • 2. Live Stream 2024 AI can level the playing field Those who believe it can save the world Why change from how we always have done things Applied technology
  • 3. It’s simply a component of the technology stack
  • 4. The problem with buildings is the lack in data management Technology is expensive and difficult to obtain If you can get the data, it lacks meaning & structure You still need a platform to gain insights
  • 5. The building data environment is completely unpredictable MODbus – Created in 1979 LONtalk – Created in 1990 BACnet – Created in 1987 OPC – Created in 1996 KNX – Created in 1990 Inconsistent engineering Lack of ontologies Inconsistent naming conventions Change management Lack of data quality Live Stream 2024
  • 6. Never-ending pursuit for building data 1979 2024 2014 1990 2021 Artificial intelligence LONtalk BACnet MODbus Pty BMS Digital twinning Independent data layer Converged network Machine learning Cloud data Building Data FDD & analytics Building data collection Cloud data API Integration IoT Devices FDD & Analytics PaaS Cloud data IoT Protocols (MQTT) ML/AI
  • 7. Efficient deployment with automated tagging rules, recommendations, and the ability to support any ontology
  • 8. Building data pipeline BMS Data Flat files CSV Ontologies APIs MQTT Bitpool API ingress Bitpool API UI – Bitpool OS AI Agents (AI pipeline) Public API Collect & store Cleanse Model Forecast & predict ML Pipeline
  • 9. Training AI to understand the built environment Training framework Wiki Data Scenarios Haystack AI Agent User and Consumer
  • 13. Live Stream 2024 Reporting with Bitpool Insights