Machine Learning

MLOps is like process engineering for Data Science

The goal of MLOps is to streamline the development, deployment, and operation of machine learning models, by supporting their building, testing, releasing, monitoring, performance tracking, reusing, maintenance and governance, joining the efforts of Data Science and IT teams under a shared focus.

Detecting defects with AI - a computer vision challenge

With the pace of output on machines ever increasing, quality control becomes a lot tougher. Using AI to detect defective products sooner can help scale your quality processes and avoid significant stops.

2020 - the year of Contact Tracing Apps

Guest contributor on our AIFightsBack webinar series was Dr. Iain Keaney, Data Scientist and Founder of Skellig.ai. Iain took on the world of contact tracing apps and discussed how both governments and companies are fighting the pandemic while mitigating the risk to personal privacy. He pointed to the adoption levels of different countries with China having the largest-scale adoption of contact tracing apps in the world and Iceland next at 40%.

Understanding the techniques behind AI in manufacturing

It’s no secret that the disruption of Industry 4.0 and the challenges presented by Covid-19 have been a push for manufacturers to evaluate digital transformation and consider going smart with AI in their factories. This article, adapted from the webinar shared below, is aimed at manufacturers who are interested in the techniques, data infrastructure and processes needed to support building internal data science & AI intellectual property.

No code. No data. No servers. How Marino Software became a ML company.

Marino Software are one of the longest standing software consultancies in Ireland with almost 20 years under their belt they have seen their fair share of ups and downs. As part of our AIFightsBack webinar series CEO Keith Davey talks candidly about how they have morphed into a machine learning company helping their clients deliver exceptional customer experience. They have a pretty impressive list of clients who are testament to this service and it includes telcos, banks and retailers. Both slides and the webinar are available below.

What is Python?

Python is a popular programming language with a wide variety of applications including data science, web development, scientific computing, and software development.

What is Jupyter?

Jupyter is a suite of products that support data science and scientific computing, including Jupyter Notebook, JupyterHub and JupyterLab. It is 100% open-source software, free for all to use and released under the liberal terms of the modified BSD license.

What is AI?

Artificial intelligence is a technology that can ‘think’ in a human-like way. It is a diverse area of computer science that enlists tools such as machine learning and image processing to recreate and build upon the complex capabilities of the human brain.