Increased Data Security Using 'EzPC' In The Machine Learning Model Validation Process

Artificial intelligence (AI) has revolutionized various industries in the last decade, from manufacturing and logistics to agriculture and transportation--examples include improving predictive analytics on the manufacturing floor and making microclimate predictions to respond and save their crops in time. AI adoption is projected to accelerate in the following years, emphasizing the importance of an efficient adoption process that protects data privacy. Firms that want to incorporate AI into their workflow undergo a model validation process. They test or verify AI models from different suppliers before choosing the one that best matches their needs. This is typically done with a test dataset provided by the organization.