Encodify is a global SaaS technology service and a market leader in Marketing Work Management.
In 2001, we pioneered the MarTech industry by devising the MWM category. Based on our no-code technology, we have since built industry-leading best-practice MWM solutions, allowing all stakeholders in the marketing value chain to collaborate efficiently. Today we are setting new standards by converging DAM/PIM (Content Hub), workflow, proofing, and project management tools to help clients innovate and optimise their work.
Encodify was founded and is headquartered in Odense, Denmark. As of today, we have over 80 employees and offices in Madrid, London and Copenhagen. Our clients include some of Europe’s most well-known brands, including El Corte Ingles, Jysk, and Netto, as well as agencies Tag Group and Hogarth. In 2020, Viking Venture (Norwegian) invested in Encodify to expand and develop business across Europe. The expansion includes both organic and (M&A) growth.
Based on our record, Amazon Machine Learning seems to be more popular. It has been mentiond 2 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
There’s also the ML as a service (MLaaS) movement that lowers the barrier for common ML capabilities (eg image object detection and audio transcription). Basically, you use APIs. See: https://aws.amazon.com/machine-learning/. Source: almost 2 years ago
Do you have questions about Data Science and ML on AWS - https://aws.amazon.com/machine-learning/. Source: over 3 years ago
Py - Learn to code on the go 📱
Machine Learning Playground - Breathtaking visuals for learning ML techniques.
Enlight - Performance and Error Monitoring. We keep an eye on your applications and notify you about performance issues and errors.
Lobe - Visual tool for building custom deep learning models
Mimo - Learn how to code on your iPhone📱
Apple Machine Learning Journal - A blog written by Apple engineers