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▄ Pluralsight ▄
Saving Energy In Homes With A Unified Approach To Data And Ai
Date...: 2020-06-08
Type...: Bookware
Disks..: 5x15MB
Notes..: Big Data LDN 2019 | Saving Energy in
Homes with a Unified Approach to Data
and AI | Erni Durdevic Energy wastage
by residential buildings is a
significant contributor to total
worldwide energy consumption. Quby, an
Amsterdam based technology company,
offers solutions to empower homeowners
to stay in control of their
electricity, gas, and water usage.
Using Europe's largest energy data-
set, consisting of petabytes of IoT
data, the company has developed AI
powered products that are used by
hundreds of thousands of users on a
daily basis. In this talk, Erni
Durdevic will take you on a tour of
how Quby leverages the full Databricks
stack to quickly prototype, validate,
scale and launch data science
products. We will explore the
technical workflow of a Data Science
project from end to end. Starting from
developing a notebook prototype and
tracking model performance with
MLFlow, we move towards production-
grade Databricks jobs with a CI/CD
pipeline and monitoring system in
place. We will see how Quby manages
more than 1 million models in
production, how Delta Lake allows
batch and streaming on the same IoT
data, and the impact these tools have
had on the team itself.
Install: Unpack, Wise up and Enjoy!
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