Presenter: Cameron Turner, The Data Guild
We live at a time when data science, as sexy as it is, is too often still considered exotic and disconnected from the main line goals of organizations. How can we turn that model around to data science being a core engine of value and force for good in the world? I'll discuss our experiences at The Data Guild working with some of the largest and most innovative companies and nonprofits in the world and our approach to building a purposeful community around data product development.
10. A little about The Data Guild…
• What
– We are a Data Product Studio in Palo Alto
– We create data-driven solutions that serve our
customers’ highest strategic priorities
• Who
– Data as science, practice, and mission
– Experience required
– Full-stack product teams
– The importance of being T-shaped…
14. Finding a Balance
Finding
Scale:
One Size
Fits All
Generating
Value:
Last Mile
Integration
“Firm” Value:
Scalability
“Client” Value:
Solves Problem
15. Design Tenet: Economies of Scope
Energy
Healthcare
Finance/Fraud
Education
Agriculture
IoT/Sensors
Prediction/Recommendation/Machine-Learning
Data Design/Applied Data Strategy
Data Cleansing/Aggregation/Architecture
21. Modeled Set Points Value (Yellow):
Modeled Pre Intervention Value (Orange):
Actual Value (Red):
Machine Learning on/off (Black):
Observed Savings*:
Plant kW/ton, 2014-09-28 to 2014-10-04
In this study, we hoped to build a picture of the opportunity for machine learning and artificial intelligence in the business of HVAC system optimization.
To do so, we took first one month, then one year of historical operating data from a large Optimum Energy Deployment (IBM 901 in Austin, TX). We analyzed the performance of the system over time. This helped us to gain intuition about the systems performance, and formulate hypotheses for formal statistical testing. TODO: ZOOM IN TO SHOW WHAT YOU WANT TO SHOW.
One area of opportunity that was noted was the spread of efficiency between the different chiller combinations due to covariance. This was counter to the intuition that this site (chosen for its simplicity: 5 homogeneous chillers) should have consistent performance between combinations.