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Enabling Outstanding Customer Service: Fulfilling a Last Minute Customer Order

In just a few minutes, a scheduler can simulate the addition of a last minute customer order, determine its impact, and modify the production schedule to resolve any issues and fulfill last minute orders using Aspen Plant Scheduler.

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Digital Agility Realized with APC

In today’s ever-evolving global economy, Energy and Chemical companies need to operate with newfound agility to meet market demand and maximize margins. Aspen DMC3 Adaptive Control now embeds powerful AI Machine Learning algorithms to build seed models by simply mining historical data. View this video and learn how you can coordinate multiple APCs in closed-loop and optimize broad envelopes in real-time to align planning, scheduling, and operation, significantly reducing margin leakage and energy costs.

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Delivering Innovation - with Technip, SES, WRE

Waymon Lofton, Mike Monteith and Harvey Welker provide compelling testimonials about how AspenTech is driving innovation across the estimating lifecycle.

Data Management for Manufacturing Operations Management

Data must be prepared for analysis by removing bad values, dealing with missing values, aligning data from different systems and performing any required transformations. The skills for those tasks are anything but common. Automation can play a significant role in completing those tasks and others in the analysis workflows by supplementing the skills of users with best-practice based approaches to data conditioning. 

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Creating an Analytic - Column Analytics Demo

Column Analytics gives one "X-ray vision" to see what is going on in a column to prevent process abuse and notify the operator of needed process changes before the column goes down due to flooding.

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Compitiendo en un nuevo panorama global

Vivimos y trabajamos en un mundo que es cada vez más volátil, incierto, complejo y ambiguo. La industria energética, y la industria petrolera en particular, está en un punto de inflexión en que la sociedad desafía su capacidad para operar. Vea en este video al Presidente y CEO de AspenTech, Antonio Pietri, mientras comparte cómo las tecnologías avanzadas están desbloqueando ideas que nunca antes habían sido posibles y creando oportunidades para generar valor y crecimiento. Incluso en las operaciones comerciales más adversas.

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Competindo em um Novo Cenário Global

Vivemos e trabalhamos em um mundo cada vez mais volátil, incerto, complexo e ambíguo. A indústria da energia e do petróleo, em particular, encontra-se em um ponto de transição e a sociedade questiona sua abilidade para operar. Veja o vídeo com ao presidente e CEO da AspenTech, Antonio Pietri, onde ele compartilha como as tecnologias avançadas estão revelando insights e criando novas oportunidades para criação de valor e crescimento, mesmo nas mais desafiadoras condições de negócios

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Competing in a New Global Landscape

We live and work in a world that is increasingly volatile, uncertain, complex and ambiguous. The energy industry, in particular, is at a turning point as society challenges its ability to operate. Watch AspenTech President and CEO Antonio Pietri as he shares how advanced technologies are unlocking insights and creating new opportunities for value creation and growth, even in the most challenging business conditions.

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Centralized Performance Monitoring

Monitor and share your most important KPIs with real-time visibility into asset performance across your enterprise with Centralized Performance Monitoring.

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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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