_Life Sciences AI Use-Cases and Trends – An Executive Brief 950×540

Life Sciences AI Use Cases and Trends – An Executive Brief

Like many other economic and industrial sectors, AI is beginning to transform operations across life sciences. In a 2021 survey of life science organizations published by the International Data Corporation (IDC), respondents cited a 65% average increase in AI spending in their organizations over the next year.

The Evolution of AI 
for Credit Card Fraud@2x-min

The Evolution of AI for Credit Card Fraud – with Dmitry Efimov of American Express

While machine learning might be as close to a household name as any AI capability in 2023, any serious historian will tell you the technology itself is nothing new. The term 'machine learning' was coined in an IBM study on computer gaming and AI dating back to 1959.

Bringing Intelligence to Manufacturing and Maintenance@2x-min

Bringing Intelligence to Manufacturing and Maintenance – with Peter Tu of GE Research

A paradigm shift is happening in the manufacturing industry. Advancement in big data and machine learning is changing traditional manufacturing processes into the era of intelligent manufacturing. The concept of what gets called "industry 4.0" encourages the use of smart sensors, devices, and machines – going beyond the motives of collecting data about production. 

Untangling Manufacturing Procurement Problems with Data@2x-min

Untangling Manufacturing Procurement with Data in the “Next Normal” – with David Schultz of Westfall

This article is sponsored by Arkestro, and was written, edited and published in alignment with our transparent Emerj sponsored content guidelines.

AI Tools for Voice of the Customer in Banking@2x-min

AI Tools for Voice of the Customer in Banking – Two Use Cases

Voice of the customer (VoC) is a term used in modern business practices to describe customers' feedback about their experience with the products and services both inside and outside any official business channels to make their opinions known. Businesses capture the voice of the customer data to provide the best possible customer experiences. The process needs to be proactive and innovative to capture the customers' changing requirements with time. 

Monitoring Loan Portfolios with AI@2x-min

Monitoring Loan Portfolios with AI – with Jackson Hull of OakNorth

As of 2023, AI and machine learning are widespread technologies in various applications and use cases throughout the financial services industry. Both demand factors in profitability needs, competition, and regulations – along with supply factors, such as technological advances and the availability of financial sector data – are primary drivers of adoption for these technologies. 

The Importance of Real-Time Telemetric Data in Manufacturing@2x-min

The Importance of Real-Time Telemetric Data in Manufacturing – with Remi Duquette of Maya HTT

The manufacturing industry has changed in recent years. Humans on the shop floor have always used their senses and experience to anticipate machine failure before it occurs. Now, AI can be used in conjunction with human expertise.

Going to Market with an AI Product in Financial Services@2x-min

Going to Market with an AI Product in Financial Services – with Jonathan Mascie-Taylor of FinTern

The concept of customer experience is reaching new heights with technological advancements. Mobile technology and applications are increasingly becoming part of consumers' lives. The impact of technology on customer experience is growing tremendously. Fintech companies are coming up with innovations to serve customers with the best. One such initiative to bring increased value to customers is open banking. 

Emerj.com – 001 – AI at ExxonMobil-min

Artificial Intelligence at ExxonMobil – Two Applications at the Largest Western Oil Company

ExxonMobil is the largest investor-owned company in the world and the largest oil company by revenue in the Western world.

Building Deeper Customer Profiles in Banking with Computer Vision – with Kelly Harlin of Sharp NEC@2x-min

Building Deeper Customer Profiles in Banking with Computer Vision- with Kelly Harlin of Sharp NEC

With so much competition in the market, it is easy for customers to switch their banking partners. Data and analysis of customers' financial data help banks reduce churn by channeling insights behind personalized solutions and offerings for their customers. Yet the demand for more personalization in financial services hardly stops there.