未来を定義するということは、過去に立脚するということです。世界が変化し続ける中、アスペンテックにはお客様の未来に向けた準備を支援してきた経験があります。アスペンテックは、AIの力を生かして信頼性、効率性、俊敏性を新たなレベルに引き上げることにより、お客様がより安全に、より地球にやさしく、より長く、より素早く企業活動を行えるようお手伝いをします。未来は今、始まります。アスペンテックと共に歩む未来とはどのようなものなのか、このビデオでお確かめください。

In a recent interview with Singapore Business Review - Sanjeev Mullick, VP, Regional Sales APAC at AspenTech - shares how Aspen Mtell enables enterprises to adapt in the current volatile environment and move ahead in their Industry 4.0 journey, future plans, and thoughts on winning the SBR Technology Excellence Award for the AI - Manufacturing category.

Aspen Mtell은 에이전트를 통해 설비 자산의 고장을 사전에 정확히 감지하여 비계획 가동중단으로 인해 발생되는 문제들을 없애는 솔루션입니다. 이 비디오는 에이전트가 무엇인지, 어떤 역할을 하는지, 어떻게 생성되는지, 이를 통해 궁극적으로 공장의 설비와 인력, 그리고 환경을 어떻게 보호하는지 알기 쉽게 보여드립니다.

Unknown, unexpected process behaviors that cause manufacturing disruptions can lead to a loss in quality, yield, and profitability. With Aspen Event Analytics™, operators and process engineers can rapidly understand unexpected operational events, so they can take early action to stabilize the process. Learn how Aspen Event Analytics accelerates and simplifies the process of investigating everyday issues— assuring fast, accurate decision making, minimizing impact on productivity, and preventing process disruptions.

Each hour spent tracking down information related to production events is an hour taken away from making improvements to your business. In this video, watch how Aspen Event Analytics™ enables operators and front line process and production engineers to quickly and easily analyze the causes behind production events.

Aspen Mtellは、エージェントを使用してアセットの障害をより早く正確に認識する処方的メンテナンスソリューションです。 このビデオでは、エージェントとは何か、何をするのか、どのように作成されるのか、どのように機能するのかをご覧いただけます。

At CERAWeek 2021, Bill Scudder, Senior Vice President and GM of AIoT Solutions at Aspen Technology, discussed the convergence of AI and IIoT into a new paradigm: The Artificial Intelligence of Things or AIoT. He described how a variety of market forces are putting increased pressure on operators to improve their operational efficiency. These forces include economic, sustainability, workforce and technology. Bill illustrated how industrial AI is defined by three domains, software at scale, data science/AI and domain expertise, and that, to be successful, Industrial AI solutions need to encompass all three domains. Finally, Bill introduced the vision of the Self-Optimizing Plant and the necessity of robust Industrial AI infrastructure to support it.

In this short video featuring Antonio Pietri, CEO Aspen Technology, explains how the last 40 years have been foundational to the success of industrial AI. In order to accelerate your digital transformation, assets need to run safer, greener, longer and faster.

In this short video featuring Antonio Pietri, CEO Aspen Technology, discusses how the self-optimizing plant will be a self-learning, self-adapting, and self-sustaining operation.

Una tarea o situación de análisis de datos se puede entorpecer dramáticamente por el tiempo, recursos y habilidades necesarias para la identificación, selección y preparación de datos. Estas tareas consumen el 50% o más del tiempo dedicado al análisis. Ahora, con Maestro para Aspen Mtell®, puede automatizar gran parte de esa preparación de datos. A través de flujos de trabajo automatizados, el tiempo y el esfuerzo se minimizan al mismo tiempo que se reducen las habilidades y la experiencia requeridas por los usuarios finales. Maestro también aborda la selección de los hiperparámetros que controlan el algoritmo de machine learning y automatiza la selección de características para reducir aún más la necesidad de habilidades de ciencia de datos. Vea este video para aprender cómo esta poderosa tecnología de IA puede ayudarle a crear mejores agentes en una fracción del tiempo.