Algorithmia Blog - Deploying AI at scale

Vertical Spotlight: Machine Learning for financial fraud

For every dollar of fraud that financial services companies suffer, they incur $2.67 in costs to their business. With more entry points in the digital age and increasingly sophisticated attackers, tackling fraud manually is quickly fading to irrelevance: but Machine Learning offers a promising way to automate the process, as well as surface more nuanced fraud patterns.

This post will walk through the challenges of applying ML models to fraud detection, popular applications, and tradeoffs to think about in model selection.

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Algorithmia Engineering Team Spotlight: Besir

At Algorithmia we’re lucky enough to be surrounded by group of wildly intelligent, quirky, and fun engineers. We’d love for you to come by and meet them in person, but until then we’ll post a series of interviews introducing you to some of the talented people who are creating the future of AI.

For today’s installment, We’d like to introduce you to Besir! He’s an Algorithm Engineer who develops unique AI/ML algorithms. You may remember him from our work on the DanKu protocol, the first trustless contract on the ethereum blockchain. Fun fact: the Ku of DanKu is for Besir’s last name.

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Challenges productionizing embedding engines

what is an embedding

As many applied ML practitioners know, productionizing ML tools can be deceptively difficult.

At Algorithmia we’re always striving to make our algorithms the best in class, and we’ve recently made a series of performance and UX changes to our Document Classifier algorithm, and put work towards generalizing it to other problem spaces outside of NLP. These changes were dramatic; we reduced our lookup time from O(n) to O(log(n)) and drastically improved the user experience by reducing unnecessary clutter, but it was far from easy.

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Algorithmia Engineering Team Spotlight: James

At Algorithmia we’re lucky enough to be surrounded by group of wildly intelligent, quirky, and fun engineers. We’d love for you to come by and meet them in person, but until then we’ll post a series of interviews introducing you to some of the talented people who are creating the future of AI.

Today, we’d like to introduce you to one of our remote employees, Canada James (not to be confused with Design James and DevOps James – both of which you’ll learn more about soon). James lives and works in Nova Scotia and has been part of the company for about two years as an algorithm engineer.

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