The SFW Journey of a NSFW-Service

Free Parking (after 4pm) in the Peavine South Parking Deck on 17 Eagle Row: https://goo.gl/maps/ywGdg778vcu

Walk south from the parking deck along Eagle Row until the junction with Dickey Drive. Cross the street to the PAIS building on the opposite corner. Go up the steps and towards the back side of the building to the main entrance. Room 290 is just to the left inside the main lobby entrance.

Abstract

There are some things that just don’t belong at work but are rampant on the Internet. Oracle Data Cloud’sAddThis.com (http://addthis.com) sharing tools are not immune to Not Safe For Work (NSFW) content. You've probably heard how deep learning is expanding our capabilities as data scientists and enabling rapid advancements in Machine Learning. To protect our user’s privacy and to reduce superfluous computation/storage we asked ourselves the question: how can we take Yahoo’s open source NSFW neural network (https://github.com/yahoo/open_nsfw)and deploy it to production? I will detail our journey of evolving a python script to a Dropwizard production app.

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About our speaker

Otto Barnes is aspiring to become an ML/AI guru. His 12 years of Software Experience and Computer Engineer grad-school work put him in the middle of the production vs. research camps at his role at AddThis.com, now apart of the Oracle Data Cloud. Follow his eGPU and other musings at https://ottoii.com (https://ottoii.com/)

Event details

7:00 Socialize and eat pizza

7:30 Main talk

8:00 Q&A Session

8:20 Lightning talks -- this month we are featuring the summer work experiences of interns at local tech companies

We'd love to hear your lightning talks (5 minutes or less) in the future. If you'd like to give one, please fill out this brief form (https://goo.gl/forms/HpAynnAYdwkILz2g2).

Food and Beverages provided by Oracle.

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Oracle Data Cloud is a team and product suite focused on Data as a Service (DaaS). We ingest, understand, and activate petabytes of data per day across many different sources. We activate insights and data sets using sophisticated machine learning and data science to help our customers become more data driven in their business.

We pride ourselves in our ability to evolve core data science and ML into a scaled product, and we love giving our team members outlets to experiment with cutting edge ideas -- like this recent hackathon (https://m.youtube.com/watch?v=2bxqZFHi8eg).