AI Articles and Analysis about Generative AI
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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 For much of the 20th and 21st centuries, GM was the world’s largest motor vehicle manufacturer (since superseded by Toyota).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.
AXA is a multinational insurance company founded in France in 1816. AXA offers a range of individual and business insurance solutions in over 50 countries. Aside from insurance, AXA also has businesses specializing in investment management and other financial services.
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.