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 Dylan

30 articles
Data Collection and Enhancement Strategies for AI Initiatives in Business

Data Collection and Enhancement Strategies for AI Initiatives in Business

There’s more to successful AI adoption than picking the right technology. Business leaders should be aware of the technical requirements of the initiative they’re undertaking, and few of those requirements are as important as data.

Artificial Intelligence at Mitsubishi UFJ Financial - Current Initiatives

Artificial Intelligence at Mitsubishi UFJ Financial – Current Initiatives

Mitsubishi UFJ Financial (MUFG) is a Japanese holdings bank and financial services company ranked 5th on S&P Global’s list of the top 100 banks, and the largest Japanese bank on the list.

AI-Based Enterprise Search for Claims Processing and Fraud Detection

AI-Based Enterprise Search for Claims Processing and Fraud Detection

Large insurance companies have been experimenting with AI since the middle of the 2010s, piloting chatbots and collecting telematics data for future AI projects. The insurance industry more than many others relies on the collection of data to make critical business decisions.  Whether writing policies, or processing claims efficiently the way insurers employ data will determine the lifetime value of the customer.  

AI-Enabled Search and Discovery for Mortgage Processing and Underwriting

AI-Enabled Search and Discovery for Mortgage Processing and Underwriting

The financial sector was among the first to adopt artificial intelligence in business by automating fraud prevention with anomaly detection technology. Now financial institutions, including lenders, stand to benefit from automating back-end processes by digitizing documents and eliminating manual data entry.

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.