AspenTech Industrial AI™는 공정 산업의 판도를 바꾸는 기술로서 AI 알고리즘의 속도와 성능에 실제 도메인 전문 지식의 효율성과 매개변수를 결합하였습니다. 특수 목적에 맞게 설계된 아스펜테크의 AI 솔루션은 데이터 인사이트, 엔지니어링 기반기술, 공정자산에 대한 지식 및 산업에 특화된 전문 지식을 결합하여 고객 기업이 끊임없이 변화하는 비즈니스 요구 사항에 더 빠르게 적응하고 대응할 수 있도록 지원합니다.

AspenTech Industrial AI™ is a game-changing technology for the process industries, combining the speed and power of AI algorithms with the efficiency and parameters of real-world domain expertise. Our purpose-built AI solutions bring together data insights, engineering fundamentals, asset knowledge and industry expertise, enabling companies to adapt and respond quicker to ever-changing business needs.

Capital project owners need to optimize their CAPEX spending throughout the lifecycle of their projects, from design to operations.

Leading asset-intensive companies are using prescriptive maintenance—powered by AI and machine learning—to unlock the value and productivity lying uncaptured in assets. Using a scalable, easy to implement prescriptive maintenance solution, companies can improve the accuracy of failure detection, increase the advance notification period of asset downtime events and reduce maintenance spend.

Industry leaders are looking for innovative ways to meet their sustainability goals. Hydrogen is a valuable resource that can help companies achieve carbon reduction and reduce energy costs. Download this white paper to learn how digital technology is an essential component in delivering the hydrogen economy and enabling you to:

The race to a zero-carbon future is on. Global oil and gas, petrochemical and chemical companies have announced ambitious carbon mitigation, plastics re-use and water conservation targets. Carbon capture and storage (CCS) and carbon capture and utilization (CCU) are key technologies to help companies reach their sustainability goals.

As sustainability targets drive the energy industry towards a net zero future and energy security concerns intensify, companies are challenged to meet these competing demands within financial and workforce restraints. Owners and EPCs must cater to short-term energy demands while simultaneously positioning themselves for the long-term energy transition projects gaining traction.

Chemical manufacturers are facing a dual challenge with global demand increasing. On one hand, chemical production has to increase to address the growing demands of a growing global population. On the other hand, the industry is facing a climate and an environmental crisis.

Discover how to predict equipment breakdowns and perform prescriptive maintenance using a new approach to asset performance management. In this white paper, learn how nine early adopters of prescriptive analytics have reduced unplanned downtime and improved asset reliability. Download the paper to read real stories about the bottom-line results that have been achieved—in as little as 2 ½ weeks.

实现未来零碳排放的比赛已经拉开序幕。全球油气、石化和化工公司纷纷宣布了宏伟的碳减排、塑料再利用及节水目标。 碳捕获和封存技术（CCS），以及碳捕获与利用技术（CCU）是现阶段帮助企业切实实现这些目标的关键路径。