How We Are Riding The Wave of The Data Tsunami

David DumasDataOps, AI & ML Services

data tsunami

Grab your umbrellas, it’s raining data. According to an article published by Forbes, we’re about to be hit by waves of data. It turns out, businesses are collecting and analyzing more data than ever before. The article, Are AI And ML The Answers To The Data Tsunami?, questions whether businesses can keep pace with the influx of data and rapid … Read More

The Role of AI in the Legal Cannabis Industry

Patrick McCloryAI, DataOps, AI & ML Services, DevOps Automation, Strategy and Planning

The role of AL and ML in the legal cannabis industry

Now that “legalize it!” is quickly becoming reality more than rallying cry, there are opportunities for AI and ML to step in. The role of AI in the legal cannabis industry is starting to take shape and could have far-reaching application in other arenas. AI and Machine learning have seen huge advances over the last few years. We are able … Read More

A Primer On Object Detection Algorithms

Patrick McCloryDataOps, AI & ML Services

When you see a photo, your brain automatically detects what’s pictured. People, animals, trees, and more. But long before your brain could recognize these things, it had to learn what they looked like. Your brain did this by seeing them over and over until they became recognizable items. This is essentially how an object detection algorithm works. However, it takes … Read More

Factorization Machines for Machine Learning

Patrick McCloryDataOps, AI & ML Services

A Google research scientist, Steffen Rendle, introduced Factorization Machines in one of his papers in 2010. As a result, the machine learning community quickly took notice. Today, factorization machines have become a built-in algorithm in Amazon SageMaker. For many reasons, it has therefore become a popular and impactful method for making predictions and recommendations. Understanding Factorization Machines Factorization machines are … Read More

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