This morning I had the opportunity to chat with software engineers and data scientists at the AI Dev World Conference on a topic I just happen to be v...
This morning I had the opportunity to chat with software engineers and data scientists at the AI Dev World Conference on a topic I just happen to be very passionate about — Engineering Operations. More specifically, on how we can use machine learning and AI with data we already from all the systems used to build software to eliminate the manual data gathering, meeting cycles, and ad hoc reporting that weighs down engineering teams’ ability to just build great products.
Here are the highlights from my talk to save you 25 minutes 😏
I also introduced an Engineering Operations Solution Architecture to take us from:
Here are two examples of how we are tackling this along with the libraries, data points, and predictions of the data science models for each:
You can download the slides from the presentation here.
Lastly, please join the conversation around engineering operations, data science, and data engineering in our Slack community.
Founder & CEO
Data science is fundamental to Pinpoint’s application. But, like most startups, we are still in the process of building ...