AI Articles and Analysis about model development

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.

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.

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. 

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.