Predictive Analytics in Finance - Current Applications and Trends

Predictive Analytics in Finance – Current Applications and Trends

Today, customers interact with banks and financial institutions across several different channels which has lead to an explosion in customer data being collected by these organizations. This data can be effectively leveraged using AI to gain insights on current and future customer behavior.

Discovering Customer Experience Trends with Natural Language Processing

Discovering Customer Experience Trends with Natural Language Processing

Understanding customer feedback gets harder and harder at greater scale and with a greater variety of channels through which customers can provide feedback. Businesses that seek to better grasp the sentiments of their customers might have to sift through thousands of messages in order to get a feel for what customers are saying about their products or services.

Predictive Analytics - 5 Examples of Industry Applications

Predictive Analytics – 5 Examples of Industry Applications

Businesses today around the world have some portion of their operations being automated, which concurrently has meant that a lot of data about these processes is being collected (from sensors or internal company data etc). A combination of AI, big data analytics, and data science techniques seem to be a growing trend in many industry sectors, with predictive analytics being one of the most well-known.

Data Mining Medical Records with Machine Learning - 5 Current Applications

Data Mining Medical Records with Machine Learning – 5 Current Applications

According to data from the U.S. Department of Health and Human Services, the progress of the value-based healthcare delivery system in the U.S. — a provider payment model based on patient outcomes — has run almost parallel to the significant implementation rate of electronic health records/electronic medical records (EHR/EMR).

Banking Chatbots - Comparing 5 Current Applications

Banking Chatbots – Comparing 5 Current Applications

Developments in artificial intelligence have had global banks recently integrate online chatbots into their websites and mobile apps. Smaller, newer banks are following this example. The gaining popularity of chatbots could be considered surprising for an industry that handles other people’s wealth and perceives security as top priority.

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The Department of Homeland Security Uses AI-Enhanced Entity Resolution for its Global Travel Assessment System (GTAS)

Tech Provider: TAMR - a company that automates the organization of a company’s enterprise-wide data through a machine learning-driven plus human-guided solution

Cognitive Robotic Process Automation – Current Applications and Future Possibilities

Cognitive Robotic Process Automation – Current Applications and Future Possibilities

The following brand partnership article was written by BIS Research analyst Rahul Papney, and edited by Raghav Bharadwaj of Emerj. For information about our advertising and publishing arrangements with brands, please visit our partnerships page.

Artificial Intelligence for Medical Billing and Coding

Artificial Intelligence for Medical Billing and Coding

Medical billing and coding is an integral component of healthcare. The medical billing outsourcing market alone is projected to reach $16.9 billion by 2021. The coding and billing process translates patient record information into standard codes which are used for billing patients and third-party payers such as a Medicare and insurance companies.

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Enterprise Adoption of Artificial Intelligence – When it Does and Doesn’t Make Sense

Chances are you have already been bombarded on social media or in your inbox about all these “revolutionary AI” this and “game-changer AI” that.

Artificial Intelligence Applications for Treating Heart Disease

Artificial Intelligence Applications for Treating Heart Disease – 6 Current Use Cases

Heart disease is the leading cause of death in the United States and currently affects an estimated 28.4 million Americans. According to a report published by the American Heart Association, in 2016, the economic burden of cardiovascular diseases (category of heart and blood vessel diseases) totalled $555 billion and is projected to reach $1 trillion by 2035.  

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