Partner Content Articles and Reports

This section features our sponsored interviews, articles, reports in partnership with some of the most exciting brands in artificial intelligence. Explore our library of partner content below:

Process Automation Fundamentals for Digital Transformation Leaders

Process Automation Fundamentals for Digital Transformation Leaders

When it comes to process automation, digital transformation leaders are now navigating the artificial intelligence hype. Although AI can yield some impressive results when it comes to digitizing processes that still involve paper and reducing the time customer service agents spend searching for customer information, leaders are perhaps too excited to jump into AI without knowing the fundamentals of what it entails.

AI Transparency in Finance - Understanding the Black Box

AI Transparency in Finance – Understanding the Black Box

The financial sector was one of the first to start experimenting with machine learning applications for a variety of use-cases. In 2019, banks and other lenders are looking to machine learning as a way to win market share and stay competitive in a changing landscape, one in which people are no longer exclusively going to banks to handle all of their banking needs.

How to Get Started with AI in Healthcare - A 3-Phase Approach

How to Get Started with AI in Healthcare – A 3-Phase Approach

This article was written by Sergii Gorpynich, co-Founder and CTO at Star, co-written by Perry Simpson, Managing Director of Star, and was written, edited and published in alignment with our transparent Emerj sponsored content guidelines. Learn more about reaching our AI-focused executive audience on our Emerj advertising page.

Robotic Process Automation (RPA) in Insurance - Current Applications

Robotic Process Automation (RPA) in Insurance – Current Applications

Robotic process automation, or RPA, has dominated much of the automation conversation in the insurance industry for several years. RPA is able to capture manual steps that employees take to log into software, search documents, and enter data and replicate them.

Machine Learning for Underwriting and Credit Scoring - Trends and Possibilities

Machine Learning for Underwriting and Credit Scoring – Current Possibilities

The advent of machine learning in finance ushered in a keen interest in using AI to automate processes from fraud detection to customer service. While some use-cases aren’t nearly as established as others, our research leads us to believe that in the coming five years, banks will continue to invest in machine learning for risk-related processes, including underwriting.

Automated Loan Processing and Underwriting – What’s Possible Today

Automated Loan Processing and Underwriting – What’s Possible Today

Automated loan processing and underwriting is not a new concept in the banking and financial services industry. Lenders have consistently faced pressure to reduce the costs and time associated with internal loans processing and turnaround.  

The State of IoT in Insurance – Automotive, Home, and Health

The State of IoT in Insurance – Automotive, Home, and Health

Insurers are looking to leverage all of the digital customer data that is now available to them, including one new data source that some of the largest insurance enterprises claim are actively collecting: real-time data streams from the Internet of Things (IoT).

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.