Welcome to episode 91 of AI in Action, the podcast that breaks down the hype and explores the impact that Data Science, Machine Learning and Artificial Intelligence are making on our everyday lives.
Powered by Alldus International, our goal is to share with you the insights of technologists and data science enthusiasts to showcase the excellent work that is being done within AI in the United States and Europe.
Today's guest is Timo Möller, Co-Founder at Deepset in Berlin. Founded in 2018, Deepset are a Machine Learning agency focused on Natural Language Processing. Building on top of the latest AI research, they unlock the value from text, documents and conversations for German businesses. They provide solutions to gain deeper insights and automate processes for Customer Service, Finance and R&D.
Timo is the tech guru at Deepset. He has been researching Neural Networks since they still had one hidden layer and coded a deep object recognition system from scratch. He has been working in the industry to apply machine learning models at all scales and believes it is important to democratize AI knowledge through open sourcing and education.
In the show, Timo will share with you:
The journey to setting up Deepset
Deciding on NLP rather than Computer Vision
How they help clients extract meaning from text
Challenges they are solving with their Language models
Benefits of their open-source FARM and Haystack frameworks
The success of their COVID-19 hackathon
New trends that excite him within NLP
What did you make of Timo's podcast? Where do you see the future of Artificial Intelligence and NLP heading in the next few years? We would love to hear your thoughts on this episode, so please leave a comment below.
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