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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

26 articles
Emerj Launches Report on Getting Started with AI in Business

Emerj Launches Report on Getting Started with AI in Business

We set out to create a report that would be particularly useful for executives and business leaders who are looking to get started with an AI initiative, as well as IT and management consultants who want to competently and effectively guide their clients through AI adoption. A big part of our editorial focus and our […]

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Emerj CEO Speaks at INTERPOL World 2019 On Progromatically Generated Everything

Emerj CEO Spoke at INTERPOL World 2019 On Programatically Generated Everything

Event Title: INTERPOL World 2019 Event Host: INTERPOL Date: July 2 – 4, 2019 Team Member: Daniel Faggella, Emerj Founder and CEO Contribution: Speaking Presentation Title: “AI, Programmatically Generated Content, and Power” What Happened INTERPOL World is INTERPOL’s large annual law enforcement event. In attendance were high-level law enforcement leaders from around the world, AI thought leaders, and AI […]

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AI for Auto Lending - Improving Deal Flow and Risk Reduction with Data

AI for Auto Lending – Improving Deal Flow and Risk Reduction with Data

Ten years into the longest economic expansion on record, auto lenders are looking for ways to leverage new opportunities for growth and risk reduction. Machine learning is poised to transform the auto lending industry in particular as much as FICO and other traditional credit scores did before it. Auto lenders that are able to adopt […]

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How Lenders Can Win More Business with Machine Learning

How Lenders Can Win More Business with Machine Learning – with Jay Budzik of ZestFinance

We interviewed Jay Budzik, CTO at ZestFinance, about the business value of machine learning for auto lending. We speak with Budzik about how underwriting, lending, and credit scoring is evolving as a result of advances in machine learning – both in terms of new data sources, and more advanced algorithms. In addition, we talk about […]

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Information Extraction in Oil and Gas - Using AI to Find Oil

Information Extraction in Oil and Gas – Using AI to Find Oil

Oil and gas companies face many of the same challenges as large banks and established insurance firms when it comes to searching through their backlogs of documents. They want to use the data stored within these documents to make decisions on where to drill and determine whether or not they’re in compliance with laws and […]

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The Future of AI in Banking

The Future of Banking – AI, Fintech, and How Banks Can Survive Disruption

Artificial intelligence is transforming a variety of banking functions and allowing tech startups to compete with some of the largest banks for market share of key services, including lending and wealth management. Business news and media sites have been heralding the downfall of the banking industry as we know it because fintech companies are going […]

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Information Extraction in Insurance - Claims and Underwriting

Information Extraction in Insurance – Claims and Underwriting

Customer data is essential for insurance firms to stay competitive in the coming decade. Insurance companies at present have backlogs of data on past and existing customers in the form of policy agreements, applications, and claims forms. They’ve also collected millions of images showing car damage, property damage, and personal injuries. Patterns exist within this […]

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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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