Welcome to episode 242 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 the United States and Europe.

Today’s guest is Amir Sadoughi, Head of Engineering at Pinecone in New York. Founded in 2019, Pinecone is a fully managed vector database that makes it easy to add vector search to production applications. It combines state-of-the-art vector search libraries, advanced features such as filtering, and distribution infrastructure to provide high performance and reliability at any scale. No more hassles of benchmarking and tuning algorithms or building and maintaining infrastructure for vector search.

Pinecone have an expert team of engineers who have built large machine learning platforms, databases and search engines at the likes of AWS and Yahoo. Their scientists have transformed businesses with ML applications such as shopping recommendations, online advertising, semantic search, anomaly detection, and more. They also have top researchers who collectively have published more than 100 academic papers and patents on machine learning, systems and algorithms.

In today’s episode, Amir will discuss:

Pinecone’s Similarity Search as a Service

The journey of building the platform from idea to production

Use cases of the benefits their service brings to customers

Transitioning from a large corporation to the startup world

Interesting opportunities within the data engineering team

To find out more about Amir and all the great work happening at Pinecone, check out the website www.pinecone.io or follow them on Linkedin and Twitter @Pinecone_io. You can also connect with Amir on Linkedin or follow him on Twitter @princehonest.

What did you think of Amir’s podcast? Where do you see the future of AI and Data Science in the industry 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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