AWS re:Invent – Data Curiosities And Insights To Ponder

Patrick McCloryDataOps, AI & ML Services

We’ve done a little bit of work parsing details from Amazon Web Services’ release notes, announcements and just general attendance numbers and we thought we’d share some cool insights! Here’s what happened at this year’s AWS re:Invent re:Invent Attendance  Our first infographic comes from a really simple set of data – attendance numbers year over year. While it’s very simple, it’s … Read More

AWS re:Invent not-quite live blogging with NLP

Patrick McCloryDataOps, AI & ML Services

This is a follow-up to our post yesterday. We attempted to leverage spaCy and TextBlob to perform Natural Language Processing (NLP). What we were hoping was to automate a live blog of the AWS keynote this morning. Truth be told, it was an aggressive goal, but we learned a lot in the process. To follow up, we thought we’d process some … Read More

AWS re:Invent 2018 – NLP-Driven Keynote Live Blog (almost)

Patrick McCloryDataOps, AI & ML Services

AWS Transcribe NLP Experts

We’ve spent a lot of time working with natural language processing (NLP) processes and timing lined up for us to try out some fairly straightforward demos of audio transcription and named entity identification. We originally set out to build a model to classify and identify entities in AWS’ release notes – and we’re pretty happy with those results. We’ll post … Read More