The document discusses the challenges and needs for effective building data management to support AI applications, highlighting inconsistent engineering practices and data quality issues. It emphasizes the importance of a structured data environment and the integration of various technologies, such as IoT and cloud data, for gaining insights. The presentation also showcases potential solutions like AI pipelines and automation for improving building data utilization.

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

10. Live Stream 2024
Using Bitpool AI

11. Live Stream 2024
Using Bitpool AI

12. Live Stream 2024
Using Bitpool AI

13. Live Stream 2024
Reporting with Bitpool Insights