Welcome to episode 390 of the AI in Action podcast, the show where we break down the hype and explore 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 North America and Europe.

Today’s guest is Timo Mertens, Head of ML and NLP Products at Grammarly in San Francisco, CA. Founded in 2009, Grammarly strives to help people understand one another, whenever and wherever they communicate in English. Every day, 30 million people and 50,000 teams around the world rely on their real-time suggestions to strengthen their writing and say what they really mean. Grammarly’s suggestions help identify and replace complicated sentences with more efficient ones, refresh repetitive language, and uphold accurate spelling, punctuation and grammar.

Using a variety of innovative approaches such as advanced machine learning and deep learning, Grammarly consistently break new ground in Natural Language Processing  research to deliver unrivaled assistance in their product offerings. That’s why they were recognized by TIME as one of the 100 most influential companies and Fast Company as one of the world’s most innovative AI companies. It’s also why Grammarly rank among industry leaders on the Forbes Cloud 100 list and The Software Report’s Top 100 Software Companies.

In the episode, Timo will discuss:

The mission they are working towards at Grammarly

Using Machine Learning in their products to improve communication

The team behind their success

Use cases of the impact Grammarly brings to customers

What excites him for the future of Grammarly

What he looks for when hiring into the team

To find out more about all the great work happening at Grammarly, check out the website www.grammarly.com or follow them on LinkedIn, Instagram and Twitter @grammarly. You can also connect with Timo directly on LinkedIn.

What did you think of Timo’s podcast? Where do you see the future of AI and Machine Learning in the industry heading over the next few years? We would love to hear your thoughts on this episode, so please leave a comment below.

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