领先的资产密集型公司正在使用人工智能和机器学习支持的规范性维护，以释放资产中未被捕获的价值和生产力。使用可扩展、易于实施的规定性维护解决方案，公司可以提高故障检测的准确性，延长资产停机事件的提前通知期，并减少维护开支。

Las empresas líderes en uso intensivo de activos están utilizando el mantenimiento prescriptivo, impulsado por inteligencia artificial y machine learning, para desbloquear el valor y la productividad que se encuentran sin utilizar en los activos. Al emplear una solución de mantenimiento prescriptivo escalable y fácil de implementar, las empresas pueden mejorar la precisión de la detección de fallas, aumentar el período de notificación anticipada de los paros de planta y reducir los costos de mantenimiento.

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The COVID-19 pandemic highlighted the need for agility and resiliency within the supply chain for pharmaceutical companies. It is clear that speed to market will remain a top business imperative as we move into the next normal for pharma.

The ability of bio-pharmaceutical manufacturers to deliver quality drug products during challenging market conditions is critical for ensuring sustainability over the long run. The COVID-19 pandemic underscored the need to transform the traditional bio-pharmaceutical supply chain to have greater agility and resiliency during market swings and periods of volatility.