Dylan Azulay

Dylan is managing editor at Emerj. He holds a degree in English with an additional major in Psychology from the University of Massachusetts Lowell.

Articles by Dylan

19 articles
Information Extraction in Banking - Compliance, Contracts, and More

Information Extraction in Banking – Compliance, Contracts, and More

Large banks deal with millions of documents every day across their corporate offices and numerous branches. Although one might assume that these documents are digital, in many cases, even the largest banks store old physical documents in file cabinets and boxes off the bank’s premises, and even those that are kept on-site might be relegated […]

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AI for Attracting Millennial Insurance Customers - What's Possible

AI for Attracting Millennial Insurance Customers – What’s Possible

Machine learning has far-ranging applications in the finance space broadly from document digitization to document search, chatbots to fraud detection. The insurance space in particular, however, stands to benefit from AI and machine learning applications in a few unique ways. They could help insurance firms with a challenge that’s at the forefront of the insurance […]

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AutoML and How AI Could Become More Accessible to Businesses

AutoML and How AI Could Become More Accessible to Businesses

In the last year, interest in so-called “autoML” has risen greatly in part due to its promise of bringing artificial intelligence to businesses that have been blocked from accessing it due to its serious time, talent, and budget requirements. Although machine learning may still be widely unavailable to small businesses, medium-sized businesses may find that […]

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Artificial Intelligence in Finance - a Comprehensive Overview

Artificial Intelligence in Finance – a Comprehensive Overview

The finance sector has proven itself an early adopter of AI in comparison to other industries. As such, the applications of artificial intelligence and machine learning in finance are myriad. Traders, wealth managers, insurers, and bankers are likely well aware of this in some form. That said, although they may hear about “AI” often online, […]

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When Will We Reach the Singularity? – A Timeline Consensus from AI Researchers

At Emerj, we pride ourselves on presenting objective information about the applications of artificial intelligence in industry. AI is applicable in a wide variety of areas—everything from agriculture to cybersecurity. However, most of our work has been on the short-term impact of AI in business. But what about the long-term? We’re not talking about next […]

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AI for Inventory Optimization in Retail

AI for Inventory Optimization in Retail

Episode Summary: This week we talk to Alejandro Giacometti, the data science lead at a company called EDITED, based in London. The company claims to help retailers with inventory optimization, and we speak with Giacometti about how artificial intelligence can be used to search the web for the product clusters and individual products of major […]

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Crowdsourced Machine Vision Training - Use Cases and Explanation

Crowdsourced Machine Vision Training – Use Cases and Explanation

Data is essential when it comes to building machine learning models for business applications. A strong AI strategy is predicated on data that is specific to the business problem a company is trying to solve, as outlined in our recent article: Data Collection and Enhancement Strategies for AI Initiatives in Business. When it comes to […]

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How to Get a Chatbot to do What You Want it To

How to Get a Chatbot to do What You Want it To

Episode Summary: What makes chatbots or a conversational interface actually work? What kind of work does one need to do to get a chatbot to do what one wants it to do? These are pivotal questions and questions that for most business leaders are still somewhat mysterious, but that’s exactly what we’re aiming to answer on this episode […]

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Crowdsourced Natural Language or Speech Training - Use Cases and Explanation

Crowdsourced Natural Language or Speech Training – Use Cases and Explanation

When it comes to planning an AI initiative, a business will need to determine the method by which to acquire the data necessary to meet their objectives. Data is essential when it comes to succeeding with AI. An effective AI strategy is built on top of data that is specific to the business problem a […]

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Bridging the Data Science Gap – Why Subject-Matter Experts Matter

Bridging the Data Science Gap – Why Subject-Matter Experts Matter

Episode Summary: For business leaders who are thinking about integrating AI into their company or who are just in the very beginning of that journey, this may be a useful episode of the podcast. Many times, people think that finding the right talent is the biggest challenge when it comes to integrating AI into the […]

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