AI Articles and Analysis about Large Language Models

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. 

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.

Telling Fact from Fiction in Launching Enterprise AI and Bespoke LLMs@2x

Telling Fact from Fiction in Launching Enterprise AI and Bespoke LLMs – with Alberto Rizzoli of V7

Navigating AI's challenges in transforming critical business operations applications are two pivotal aspects driving what is becoming a right of passage for nearly every industry in the evolution of modern enterprises. As organizations strive to harness the power of AI, they encounter intricate challenges, from data extraction to the complex task of molding AI into a tool that enhances various business functions.