Articles by Mat Ryer

Building_an_engine_with_the_veritone_engine_toolkit 04.8.19

Building an engine with the Veritone Engine Toolkit

Veritone’s aiWARE platform lets customers run AI solutions at a very large scale, and it does it by spinning up as many instances of the cognitive engines required for a given use case to meet the demand and handle the load. When they’re done, they shut down to free resources. Engine developers don’t need to…

09.21.18

Machine Box is growing up: Why we joined Veritone

We started Machine Box because we wanted to open the potential of machine learning to developers of all skill levels, and to teams who don’t have exuberant budgets or armies of people to throw at a problem. Machina is sporting Veritone colours to celebrate the coming together of the two companies. Our customers have built…

05.26.18

Deploy Docker containers in Google Cloud Platform

TL;DR: Check out a working example project of how to deploy Docker containers (boxes) to Google Cloud Platform. Delivering complex software solutions inside a neat container is exactly the promise of Docker, and Machine Box has truly benefited from this. This article shows you how to spin up Machine Box in Google Cloud Platform, but the technique works for any…

05.23.18

Deploy Docker containers into Digital Ocean

Machine Box delivers the services via Docker containers, and Digital Ocean is a great place to host these containers in production. This guide will walk you through the steps required to deploy Facebox with Digital Ocean. TIP: Before you start, it’s important to remember that hosting on Digital Ocean comes with a small cost — it’s very competitive,…

03.30.18

Build your own fake news detector using machine learning

It is a sign of the times that in 2018, the UK Government established a new unit to tackle fake news, and every day seems to reveal more about the dirty tricks played by companies like Cambridge Analytica, including deliberately spreading misinformation, to try and influence electorates in favour of whoever happens to be paying them. This…

03.16.18

Mute uninteresting log noise with Machine Learning

Most people have a way of building their own machine learning textual classifiers; you can use cloud APIs, learn Tensorflow or roll your own, or use Machine Box. As founder of the latter, it won’t surprise you to learn that in this article I am going to tackle log data using Classificationbox — a Docker container that…

02.20.18

Introducing Classificationbox: Easily build your own text/image/data machine learning classifier inside a Docker container

We have just released Classificationbox as a Developer Preview. Classificationbox is a general purpose machine learning classification utility designed and built for scale. Classificationbox lets you use machine learning to automatically classify various types of data, such as text, images, structured and unstructured data With a relatively small set of training data, you can build a model…