The second blog in our eLearning WFH series explains how to build a successful eLearning competency target and blended learning path.

Industrial organizations require historical and real-time data for AI and analytics on the cloud to keep the business running efficiently.

AspenTech partner company Emerson shares their strategy for using a digital twin that can provide short-term benefits during this time of unprecedented restrictions on workers and industry.

As changing business conditions and an evolving workforce challenge companies in the process industries, AspenTech is working to meet their diverse training needs.

Every organization wants to be a connected enterprise. That’s the foundation of our Artificial Intelligence of Things (AIoT) practice and AIoT Hub.

Today, refineries face the difficult challenge of maintaining and improving their gross refinery margin while meeting increasingly stringent emissions regulations. Refineries need to work in anticipation of new evolving emission regulations. Learn how BPCL Kochi refinery used Aspen HYSYS to develop a real-time refinery-wide digital twin for emissions monitoring enabling them to:

Are you struggling to effectively organize and analyze your data to troubleshoot bad batches? Multivariate analytics will quickly deliver insights that can increase batch quality, yield and throughput. Manufacturers have already realized 10 percent increase in production and 50 percent reduction in quality variability through the use of such tools. Download this paper now to learn how to get truly meaningful insights from your batch process data for optimal plant performance.

En todo el mundo, las organizaciones lideres están adaptando e implementado tecnologías digitales avanzadas. La travesía de transformación digital cambiará la naturaleza de las industrias intensivas de activos, particularmente los negocios de energía y químicos. En ese contexto, Digital Twin — (copias virtuales de activos físicos y sus comportamientos operativos) tendrán papeles clave. Para los gemelos digitales que creemos hoy, un concepto clave es la inteligencia artificial que proporciona información y asesoramiento sobre los datos virtuales. Descargue este White Paper para conocer sobre estas claves esenciales en su estrategia de digital twin:

特殊化学品メーカーの主なバリュードライバーにしっかりと整合化された実証済みの業界ベストプラクティスを導入した、製造パフォーマンスを変革するためのロードマップを示しています。また、製品品質を改善し、顧客への対応力を強化し、コスト効率を高める革新的な製造プラクティスを実現するために、どのような技術が活用できるのかについて説明しています。

在全球范围内，各领先组织正在接纳并实施先进的数字化技术。数字化转型之旅将改变资产密集型行业（尤其是能源和化工企业）的性质。在这种情况下，数字孪生（实物资产及其操作行为的虚拟副本）将发挥关键作用。对于今天我们创建的数字孪生，一个关键概念是人工智能在提供虚拟数据相关见解和建议方面的作用。