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Dancing with Data Science at the Edge

Cory Latschkowski, Senior Specialist Solutions Architect, OpenShift, Red Hat
Audrey Reznik - Sr. Principal Software Engineer, Red Hat
19 Aug 2022
10:00 - 10:30
Keynote Room

Dancing with Data Science at the Edge


Realizing when mechanical devices (e.g. pump data, manufacturing devices)  are having mechanical issues and are showing signs of failure (via sensors) are important items to know when you need to keep your mechanical devices running 24/7.  Therefore creating failure prediction algorithms and/or model(s) are essential parts of your mechanical equipment maintenance toolbox.  But how do you get started? Is it hard to curate sensor data? How do you create, train and deploy failure prediction algorithms and models?  What kind of platform do you use for these items? Failure prediction in real time on time series data (gathered by sensors) can be realized with the use of Open Source tools. We will deliver an overall view of how to start with the generation of new raw sensor data (typically captured by an Edge device), create a failure prediction model and end up with a real time graph that shows alerts warning that a failure is imminent for a mechanical device. But that’s not where the story ends.  We also need to address ‘security’.  From transferring and storing data to working with models, security is vital to working with sensors at the Edge.  Taking lessons learned from Cyber Security Crime we will discuss how Edge and IoT hardware can be easy to exploit.  We will then outline what security fundamentals are important to have in place along with common technology mitigations. Join us while we take you through creating data science applications on the edge and how we secure data, models and edge devices.


Audrey Reznik is a Sr. Principal Software Engineer in the Red Hat Cloud Services – OpenShift Data Science team focusing on managed services, AI/ML workloads and next-generation platforms. She has been working in the IT Industry for over 20 years in full stack development to data science roles. As a former technical advisor and data scientist Audrey has been instrumental in educating data scientists and developers about what the OpenShift platform is and how to use OpenShift containers (images) to organize, develop, train and deploy intelligent applications using MLOps. She is passionate about Data Science and in particular the current opportunities with ML and Open Source technologies.

Cory Latschkowski, Senior Specialist Solutions Architect, OpenShift, Red Hat; Over the previous decade Cory has made major stops in High Performance Computing (HPC), Cyber Security, Data Science, and container platforms (k8s, OpenShift). His last name is pronounced: Latch – cow – ski. Every week is another project. Asking his favorite <anything> will likely lead to a philosophical conversation. His passions are pretty moderate, but he will admit a love for automation, RTFM, and bacon. To learn more of his personal bank security questions, ping him on github.

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