If you’ve been following my blog, you probably know that I’ve been interested in venture for a long time and have been trying to accumulate the experience and knowledge required to break in. After several months of searching, I’m excited to say that I’ve accepted a role at a New York based venture studio called Create. Now that I’ve accepted this role, I thought it would be fun to stop and reflect on my journey so far. So here goes!

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I’m writing this post for three reasons. First, I love to write and thought it would be a great way to close out the first chapter of my career. Second, I figured somebody else might be in a similar situation and would like to know about the strategies and resources that can be used to break into the industry. Third, I’m incredibly excited to join the New York venture ecosystem so I wanted to take the opportunity to introduce myself and engage with the community. …

Startups and incumbents are investing massive amounts of money into AI (approximately $35 billion in 2019 according to IDC). As these AI models become increasingly effective, some businesses are facing a new problem: they can’t use them. Why? Well, the majority of these AI models are considered “black boxes”, meaning that there is no way to determine how the algorithm came to its decision. …

Thanks for clicking. This article kicks off a brand new series for me. In it, I’m going to be diving into one of the most important areas of the tech ecosystem: artificial intelligence. My plan is to spend the next few posts walking through several of the most promising AI sub-sectors (natural language processing, neural networks, computer vision, etc.). These articles are intended to give the reader a general understanding of how the tech works, how it can be applied, and which startups are implementing it into their products.

As the title indicates, we’re going to start with Natural Language Processing (or “NLP” for short). This first post digs into the applications of NLP and will soon be followed by a second post that breaks down how NLP works in practice. …

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