phillyete

Philly ETE 2019 – Keith Gregory – So you want to migrate to AWS

In 2009, Amazon Web Services was simple: EC2 for compute, S3 for storage. In 2019, it’s far more complex: well over 100 services, covering the entire software life-cycle. This talk is intended for the person who is looking at AWS as an alternative to running in a data center, and focuses on the important topics and strategies for a successful migration.

Philly ETE 2016 – Susan Potter – From Zero to Application Delivery with NixOS

This session will show you a toolchain and immutable infrastructure principles that will allow you to define your infrastructure in code versioned alongside your application code that will give you repeatable configuration, ephemeral testing environments, consistent CI/CD environments, and diffable dependency transparency all before pushing changes to production.

Philly ETE 2016 Keynote – David Ferrucci – AI: A Return to Meaning

This talk draws an arc from Theory-Driven AI to Data-Driven AI and positions Watson along that trajectory. It proposes that to advance AI to where we all know it must go, we need to discover how to efficiently combine human cognition, massive data and logical theory formation. We need to boot strap a fluent collaboration between human and machine that engages logic, language and learning to enable machines to learn how to learn and ultimately deliver on the promise of AI.

Philly ETE 2016 Keynote – Raffi Krikorian – How Your Organization is Killing Your Software

When asked “What’s your architecture?” most people immediately respond with how their software is laid out and what their plans are for improving parts of it. Rarely does anybody really think through their team and organizational architecture, and even more rarely do people understand how that may fundamentally impact how the software gets written and the product that comes out at the end.

Philly ETE 2016 – Don Coleman – Building Wireless Sensors

Inexpensive wireless microcontrollers are everywhere. This session will look at building wireless sensors on a variety of hardware: the super low cost ESP8266, the Particle Photon and it’s cloud services, and the new Arduino MKR1000. In addition to building connected devices, I’ll discuss some options for collecting, storing, and visualizing the sensor data.