AI at athenahealth@2x

Artificial Intelligence at athenahealth

Athenahealth is a private healthcare company specializing in providing network-powered health services and point-of-care mobile apps. The company’s products and services are designed primarily to enhance patient care, improve operational efficiency and streamline administrative processes.

Financial Services Challenges from a Data Perspective – with Bill Waid of FICO@2x-min

Financial Services Challenges from a Data Perspective – with Bill Waid of FICO

Originally founded as Fair, Isaac and Company, FICO is a data analytics company founded in 1956. Based in Bozeman, Montana, the company is focused on credit scoring services, most notably its FICO score, which measures a person's creditworthiness. 

Avoiding Disurptions in Supply Chains with AI – Two Use Cases@1x

AI for Avoiding Supply Chain Disruptions – Two Use Cases

This article is co-authored by Rudrendu Paul

Global supply chains face mounting disruptions - pandemic aftershocks, geopolitical conflicts like the Ukraine war, climate events like flooding in Malaysia, and cyber-attacks - all of which have created massive bottlenecks. According to the World Economic Forum, global supply chains are facing the worst shortages in 50 years due to the pandemic and the war in Ukraine.

AI at Takeda@1x-min

Artificial Intelligence at Takeda Pharmaceuticals

Takeda Pharmaceuticals is a 240-year-old, leading biopharmaceutical company headquartered in Tokyo, Japan, with a global hub in Cambridge, Massachusetts. The company has a global presence, operating in more than 80 countries across North America, Europe and Asia.

Improving Patient Experiences in Health Insurance Workflows@1x

Improving Patient Experiences in Health Insurance Workflows – with Shane Bray and John Thomas of Uniphore

This interview analysis is sponsored by Uniphore and was written, edited and published in alignment with our Emerj sponsored content guidelines. Learn more about our thought leadership and content creation services on our Emerj Media Services page.

AI at State Farm@1x-min

Artificial Intelligence at State Farm

State Farm is a large insurance company headquartered in Bloomington, Illinois. Its main lines of business include property and casualty insurance, as well as auto insurance. The company is the leading auto and home insurer in the United States.

Generative AI Adoption Challenges From a Data Perspective – with Ted Kwartler of Data Robot and Tsavo Knott of Pieces@1x

Generative AI Adoption Challenges From a Data Perspective – with Ted Kwartler of Data Robot and Tsavo Knott of Pieces

This interview analysis is sponsored by Pieces and was written, edited and published in alignment with our Emerj sponsored content guidelines. Learn more about our thought leadership and content creation services on our Emerj Media Services page.

AI Communications Surveillance-1x min

AI for Communications Surveillance and Compliance – Two Use Cases

Communications surveillance in financial services involves both monitoring and analyzing electronic communications within a financial institution to prevent fraud, ensure regulatory compliance, identify and manage risks resulting from inappropriate activity, and maintain integrity in financial markets. 

Solving Developer Team Challenges with AI – with Jason Wells of Pattern and Tsavo Knott of Pieces@1x

Solving Developer Team Challenges with AI – with Jason Wells of Pattern and Tsavo Knott of Pieces

This interview analysis is sponsored by Pieces and was written, edited and published in alignment with our Emerj sponsored content guidelines. Learn more about our thought leadership and content creation services on our Emerj Media Services page.

Machine Learning and Large Language Models in Healthcare – with Dr. Arta Bakshandeh of Alignment Health@1x

Machine Learning and Large Language Models in Healthcare – with Dr. Arta Bakshandeh of Alignment Health

AI and machine learning have promising potential in the field of healthcare. However, there is one significant hurdle healthcare companies often encounter when trying to implement AI and machine learning. The data architecture of current legacy systems in healthcare settings prevents implementing many use cases and limits a company’s ability to benefit from these technologies fully.