As energy, chemical and EPC companies continue to adjust to a new normal, the focus on meeting sustainability goals is a top priority for industry leaders. Digitalization and AI are critical in helping companies advance their sustainability efforts. View this video and learn how Industrial AI combines machine learning with deep industry knowledge to help you make faster, smarter decisions that reduce emissions and waste, moving you closer to net zero carbon.

During the webinar, Indian refining company, Bharat Petroleum Corporation Limited (BPCL) shared how they gained up to $0.5/bbl of crude by deploying real-time digital twins to optimize its CDU operations with Aspen HYSYS and BPMARRK, BPCL’s patented technology for real-time crude assaying.

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.