AI Articles and Analysis about Generative AI

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.

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.

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.

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. 

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.

General Motors (GM) is an American multinational auto manufacturing company. For much of the 20th and 21st centuries, GM was the world’s largest motor vehicle manufacturer (since superseded by Toyota). The company produces a wide range of vehicle types, including cars, trucks, SUVs, and vans. Automotive brands owned by GM include Chevrolet, Buick, GMC, and Cadillac.

Edge AI, also known as edge intelligence, is a term that refers to the convergence of two dynamic technological trends: edge computing and Artificial Intelligence. In today's tech landscape, the proliferation of mobile devices and advancements in communication technologies have fueled the rise of edge computing, which focuses on processing data at the network edge. 

Traditional business analytics has undergone significant changes thanks to the internet revolution, cloud computing and the shift to self-service analytics, contributing to the recent rise of embedded analytics in business operations. Embedded analytics involves embedding and integrating visualizations, dashboards, reports or predictive analytics in everyday business applications.