Profit loves data driven recommendations
How have entertainment providers like Spotify managed to provide customers and users with great recommendations – while others desperately lag behind? The short answer is data.
The first time I tried coding, I built an AI model
A few thoughts on how far the no-code (or ‘low-code’) movement has come. We can now extend the ability to “explore-by-doing” to people outside the coding community, even within AI.
Open Deep Learning
A year in review: NLP in 2019
Our Head of Research, Anders Arpteg, looks back on the yer 2019 and the big advancements happening in the AI sphere. The answer: Natural Language Processing.
Nerd is our middle name. And Passion. And definitely Pop. Or, was it Rock?
The AI struggle is real: Thoughts from Web Summit 2019
Interview with hackathon team @ AI Northern Ireland Datathon
Get ready for our pre-trained BERT
We’ve taken the next step in enabling our users to have full-scale language model capabilities available at their fingertips. Let us introduce to you: BERT.
Peltarion awarded research funds to build state-of-art Swedish language model
Getting unstuck: How to adopt a creative mindset around AI challenges
Natural language processing capabilities are here!
Big news! We’re very excited to be launching a new beta feature for text classification, aka sentiment analysis support.
Taking the pulse on global AI industry: Almedalen 2019
Highlights from CogX 2019: The festival of AI and emerging tech
CogX gathers over 15,000 leaders across academia, industry and government to discuss the latest challenges and solutions in data science, machine learning (ML) and analytics. Check out our highlights!
The value-add of deep learning in predictive maintenance
In a time when manufacturing companies are under intense pressure to improve efficiency and productivity, every gain is valuable
Dataset view: Redesign and feature preparation improvements
Launching the Peltarion Community Edition: Start your deep learning journey now, for free
AI is not a silver bullet
Pretrained blocks: Reducing the complexity of building DL models
Towards operational AI
10 applicable areas for AI: Beyond chatbots and customer recommendations