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Introducing Aspen Enterprise Insights

What if all your data could easily provide strategic insights to your users across your entire enterprise? That's Aspen Enterprise insights, the first hybrid cloud visualization and workflow management solution that brings new levels of performance to operations and capital projects.

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Introduction to Aspen Event Analytics™

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.

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Transforming the Process Industries Through AI and Digitalization

Industrial AI is a set of applications that create insights, provide guidance, and automate and democratize knowledge to create more value for the process industries. Learn how this new generation of solutions will enable the Self-Optimizing Plant to be safer to operate, reduce emissions, and be more reliable and profitable.

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Better Agents Faster with Maestro for Aspen Mtell®

Data analysis can get bogged down in identifying, selecting, and preparing data. These tasks consume 50% or more of the time spent doing analysis. Now, with Maestro for Aspen Mtell®, you can automate much of that data preparation. Through automated workflows, time and effort is minimized while reducing the skills and experience required by the end users. Maestro also tackles the selection of the hyperparameters that control the machine learning algorithm and automates feature selection to further reduce the need for data science skills. Watch this video to learn how this powerful AI technology can help you build better Agents in a fraction of the time.

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Melhores Agentes, Mais Rapidez – Com Maestro para Aspen Mtell®

A análise de dados pode se complicar na identificação, seleção e preparação de dados. Estas tarefas consomem 50% ou mais do tempo gasto nas análises. Agora, com o Maestro para o Aspen Mtell®, você pode automatizar grande parte desta preparação de dados. Através de fluxos de trabalho automatizados, o tempo e o esforço são minimizados, reduzindo as habilidades e a experiência exigidas dos usuários finais. Maestro também aborda a seleção dos hiper parâmetros que controlam o algoritmo de machine learning e automatiza a seleção de recursos para reduzir ainda mais a necessidade de habilidades em ciência de dados. Assista este vídeo para saber como essa poderosa tecnologia de IA pode ajudá-lo a construir agentes melhores em pouco tempo.

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Mejores agentes, más rápido – Con Maestro para Aspen Mtell®

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.

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OPTIMIZE™ 21: Message from AspenTech President and CEO, Antonio Pietri

What can you expect at this year’s OPTIMIZE™ virtual experience? Watch as Antonio Pietri, President and CEO of Aspen Technology, talks about the key highlights of OPTIMIZE 21 and why it’s the premier global event for companies within capital-intensive industries that want to accelerate their digitalization journey.

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Convergence of AI & lloT: Accelerate your Industrial Digital Transformation

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.

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Transfer Learning with Aspen Mtell

Understand how Aspen Mtell’s Autonomous Agents share failure signatures across similar assets, enabling rapid time to value.

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Feeling a Little VUCA?

In this brief video, Antonio Pietri discusses the concept of VUCA and what that means for Industry 4.0 and digitalization in the smart enterprise.

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