工业AI已成为推动工业组织实现其可持续发展目标的一项重要技术。 它将领域专业知识和基于第一定律的模型与人工智能相结合，实现更加自主、智能的过程，从而提高安全性和运营效率。

大型组织将在2050年之前率先实现温室气体净零排放，这使得今天的化工企业面临越来越大的压力，他们必须采用能源效率解决方案和加快循环经济创新来确保可持续地运营。

今天的能源公司正在积极脱碳，而数字化仍然是他们实现业务和可持续发展目标的关键驱动因素。

企业在不断寻找方法来降低成本和确保可持续运营，而数字孪生在帮助企业保持领先地位方面将发挥关键作用。

In anticipation of next week's BEYOND OPTIMIZE virtual event, the author chats with WRE, Inc.'s Harvey Welker about his session on ACCE.

Advances in the application of artificial intelligence (AI) are starting to have a significant impact on automation technologies used across industry—most notably with machine vision and analytics. And some of the more impactful applications of AI are happening in the pharmaceutical industries. Learn more in this article from Automation World.

As digitalization initiatives sweep through engineering departments at both EPC and Owner companies, executives are striving to better connect their design, engineering and estimating workflows. With improved design outcomes and more accurate and timely estimating on the line, the clock is ticking to deliver results from these initiatives.

Pharmaceutical companies, CDMOs and CMOs face growing pressures to deliver more products at a lower cost while ensuring the quality and security of supply. Advanced PAT technologies address these challenges by increasing saleable product through more consistent quality, higher yields and greater throughput. In addition, digitalization advances such as extensive connectivity, increased and elastic computing power, and advanced analytics have all continued to strengthen the accessibility and power of PAT to accelerate market growth.

Braskem's Digital Transformation Manager shares some highlights of his upcoming Beyond OPTIMIZE presentation and the sessions that interest him to share best practices with other users.

Today’s asset intensive organizations face multiple competitive, market and economic related challenges, not the least of them relates to managing the business during a pandemic. This drives the need for new and expanded asset performance capabilities that go beyond traditional maintenance management approaches to include improved access to process data.