Addressing employee skepticism through targeted training and demonstrations of successful AI applications builds trust and highlights the importance of data validation and traceability...
Useful data analytics requires infrastructure, intelligence, digitalization, standardization, containerization, flexibility and content—and artificial intelligence, too
