Dylan Azulay

Dylan is Senior Analyst of Financial Services at Emerj, conducting research on AI use-cases across banking, insurance, and wealth management.

Articles by Dsd

30 articles
Emerj at the Launch of the OECD AI Policy Observatory in Paris

Emerj at the Launch of the OECD AI Policy Observatory in Paris

Event Title: Launch of the OECD AI Policy Observatory

Event Host: OECD

The Unique Requirements and Considerations for AI in Robotics

The Unique Requirements and Considerations for AI in Robotics

Applying AI to the real world is much more difficult than applying it in digital ecosystems; this is what makes robotics use-cases in business so much more difficult than applications such as AI-enabled fraud detection.

AI Hardware Challenges and Considerations in the Enterprise

AI Hardware Challenges and Considerations in the Enterprise

Large enterprises are eager to use artificial intelligence software, but many of them aren't aware of the hardware required to execute many AI capabilities. To get a better idea of these hardware considerations, Emerj spoke with Victoria Rege, Director of Alliances & Strategic Partnerships and Graphcore, for Kisaco Research's AI Hardware Summit in Europe, which takes place October 29 - 30 in Munich, Germany.

5 Ways Banking Chatbots Improve Customer Experience

5 Ways Banking Chatbots Could Improve the Customer Experience

In banking and finance, chatbots have the potential to improve the customer experience by allowing customers to check their account balances, transfer money, learn about interest rates, change their billing addresses, and more.

Weaponized Artificial Intelligence – Critical Dual-Use Applications

Weaponized Artificial Intelligence – Critical Dual-Use Applications

This article is based on a presentation given by Emerj CEO Daniel Faggella in Geneva, at the 2019 New Shape Forum: Weapons Governance for the Geneva Disarmament Platform. To learn more about Emerj's AI presentations and speaking, visit our presentations page.

AI Search and Discovery for Streamlining the Mortgage Process

AI-Enabled Search and Discovery for Streamlining the Mortgage Process

AI may have a role to play in digitizing the paper-heavy mortgage process, facilitating more streamlined search and discovery for entities across a variety of digital and scanned PDF documents. We spoke with Dan Cortright, Senior Director of Product Management at Iron Mountain, about just that. Courtright discusses how AI could help approve loans quicker, better assess risk, and allow employees to pull up documents they need to respond to customer requests.

Syracuse Faggella

Emerj CEO Keynotes at NEXT Technology Conference at Syracuse University

Event Title: NEXT Technology Conference

Event Host: Syracuse University

AI-enabled Enterprise Search - Faggella sinequa copy

Intelligent Search in Banking and Financial Services – Current Capabilities

Financial institutions have challenges around data accessibility. They want to leverage their large amounts of data so their employees, such as customer service agents, can find the information they need quickly.

AI-Based Document Digitization - An Enterprise Guide

AI-Based Document Digitization – An Enterprise Guide

Many of the key processes in industries such as banking and insurance are still done on paper. That said, many large enterprises seem to be in the process of digitizing parts of these processes in order to prepare for forays into automation and artificial intelligence. 

Emerj CEO Keynotes BankAI in Chicago

Emerj CEO Keynotes BankAI in Chicago

Event Title: BankAI 2019

Event Host: American Banker

Date: October 7, 2019 - October 8, 2019

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