June 2019 Events

It’s June! Can’t believe we’re already halfway through the year. Anyway, this month is full of some great events in the SLC/Lehi area.


  • 6/5, Wednesday: SLC Python – BYOP: Bring Your Own Python (SLC). RSVP
  • 6/5, Wednesday: Utah Deep Learning – The Magical World Of Graph Convolutions (SLC). RSVP
  • 6/6, Thursday: Google Cloud Meetup – A Technical Overview of Anthos (Lehi). RSVP
  • 6/11, Tuesday: Flow Factor Conference – Microservices and the Cloud. The Ternary crew will be speaking here, as well as several of our close colleagues in the Machine Learning space. Don’t miss this!. (SLC) Details and Registration
  • 6/19, Wednesday: Utah Data Engineering – 1 Year Anniversary. Panel on Data Engineering (SLC). RSVP
  • 6/25, Tuesday: Salt Lake Data Science – Interpreting Models Using SHapley Additive exPlanations (SHAP) (SLC). RSVP
  • 6/26, Wednesday: Machine Learning Utah – MobileNet: The History and Significance (Lehi) RSVP

END-OF-WEEK DATA READS (5/25/2019)

Hope you all have an excellent Memorial Day weekend! Remember what the weekend is all about.

In the meantime, enjoy these weekend data/technology reads.


  • Distributed Data Querying with Alluxio (Jowanza Joseph)
  • Putting the ‘ease’ in Kubernetes with latest enhancements to GKE – managed Windows containers in K8s (Google Cloud Blog)
  • When AI Becomes a Part of Our Daily Lives (HBR)
  • Amber Brown: Batteries Included, But They’re Leaking (PyFound)
  • How AI could save lives without spilling medical secrets (MIT Technology Review)

END-OF-WEEK DATA READS (5/18/2019)

Welcome to the weekend. Pour several cups of coffee and enjoy these tech/data reads.


  • The Empty Promise of Data Moats (a16a)
  • API design: Why you should use links, not keys, to represent relationships in APIs (Google Cloud Blog)
  • Things you’re probably not using in Python 3 – but should (Data What Now)
  • Tips on How to Make AI a Corporate Success (WSJ)
  • Has the Python GIL been slain? (Hackernoon)

END-OF-WEEK DATA READS (5/11/2019)

If the weather is good where you live, please get outside and enjoy some sunshine. But if you’re looking for something to read on your downtime, check out this weekend’s data reads.


  • GitLab’s journey from Azure to GCP (Gitlab)
  • Cause and effect in ML (MIT Technology Review)
  • HOW EXACTLY STITCH FIX’S “TINDER FOR CLOTHES” LEARNS YOUR STYLE (Quartz)
  • The making of Amazon Prime, the internet’s most successful and devastating membership program (Vox)