As the energy industry continues to be challenged by a volatile global market, there are steps companies can take now to adapt to evolving demands, maximize margins and improve sustainability. Join industry leaders Saras and MOL Group as they detail recent projects where innovations in digital twin technology, predictive analytics and prescriptive maintenance delivered measurable, strategic value for both the short and long term.

Digitalization, IIoT and Industry/Industrie 4.0 are essential to provide a platform for businesses to respond to industry changes. What does that mean?

With current supply chain disruptions and fluctuating demand, digitalization offers polymers manufacturers new ways to drive improvements in sustainability.

By monitoring asset condition and behavior and developing profiles of normal operations, anomalies and failures, predictive maintenance tools can notify staff of equipment problems prior to failure.

再此网络研讨会中，艾斯本专家们讨论了Aspen PIMS-AO，Aspen Petroleum Scheduler，Aspen炼油厂多混合优化器和新的Aspen GDOT的新增强功能。

在资产密集型行业，工业物联网和数字化技术正在开启通往更高的可靠性和盈利率的大门。幸运的是，我们不需要通过全面数字转型，就能把握住这样的机会。这篇白皮书探讨了如何利用这些技术来创造最大价值，以及开启工业物联网和数字化技术之路的三大成功要素。

在瞬息万变的市场环境下，石化企业在管理业务和规划未来面临着巨大的挑战。 使用数字化会使企业保持敏捷性，是实现和保持盈利能力的战略要务。在网络研讨会时，我们的AspenTech专家，王峰，将讨论中国石化行业的前景以及数字化如何使石化企业保持领先地位。

在网络研讨会时，我们概述了Aspen ProMV™软件套件，该套件正在申请专利的批量处理数据分析，以在确保过程安全性的同时，不断推动您的过程达到质量，产量和吞吐量的最佳性能。提交表格立即观看网络研讨会重播。

High quality standards and production goals are driving the need for reliable and readily available data in the Food & Beverage industry. But with so much data being recorded from various sources within your enterprise, is your data being used to its full potential? Without the proper digital tools in place, plants may invest in large CAPEX projects prematurely, or lose valuable time reviewing data rather than reacting to it.

Digital transformation success in the chemicals industry requires a comprehensive, holistic approach that looks at the entire asset lifecycle – from design through operations and maintenance. During this webinar, you will learn how Braskem used plant digital twin models with performance engineering solutions to avoid operability issues, adapt to product shifts and reduce costs.