Assima forges A Partnership with Call Simulator syncing hands-on software training and simulated voice interactions.
Assima, a global leader in systems training and digital adoption, and Call Simulator, a proven Conversational-AI-powered call training provider, announce an exciting new partnership designed to help organizations train employees at scale, utilizing immersive training experiences to increase adoption and reduce time and cost to proficiency.
IBM Think Summit Paris: Artificial Intelligence
Artificial Intelligence, also called machine learning, is used by various industries and especially hospitals, to avoid errors and get jobs done efficiently. Healthcare is a complex and stressful industry, with zero acceptance of mistakes. In this video from IBM Think Summit Paris 2019 (in french), experts from different industries discuss the concept of “enhanced human [...] 6 reasons why Assima LCMS can improve overall processes in healthcare organizations
Every healthcare employee, regardless of their location, profile or background, has something in common: their learning and training process never stops. Imagine a world where medical personnel wouldn’t be trained on the latest healthcare technology or tool. It sounds scary, doesn’t it? Every healthcare organization is constantly improving and updating the patient caregiving process, in [...] Content Creation vs Content Management in Learning Systems
Learning Management Systems, or LMS, generally provide training for employees, partners, salespeople, and pretty much everyone involved in the company workflow. An LMS is designed to offer flexible solutions, targeting all types of learners and audiences to increase productivity and to support continuing skill development. Through different hubs, LMS integrates learning, practicing, reporting, and social [...] How to Tailor your Healthcare e-learning with Assima LCMS
Healthcare and pharma sectors have adopted for decades various learning methods and file recording processes to simplify their procedures and to keep an accurate patient history database. For obvious reasons, healthcare and pharma industries cannot afford a single error that could lead to diagnostic inaccuracies or treatment flaws. Therefore, it is crucial to train [...] 