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.

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.

This podcast is part of a series featured on “In the Oil Patch” with Shale Oil & Gas Business Magazine radio show. In this podcast, host Kym Bolado, interviewed Zafar Ali, AspenTech Senior Director of Petroleum Supply Chain Products, and frequent guest Ron Beck, AspenTech Market Strategy Director, on how refineries are adapting to new challenges presented by the pandemic, and how Artificial Intelligence is will impact planning in the near future.

Accenture’s high value consultancy combined with AspenTech's innovative technology solutions offer energy, chemical and mining companies a path to greater resilience and agility.

Aspen Technology Announces Financial Results for the Fourth Quarter and Fiscal 2020

Aspen Technology Announces New AIoT Hub to Unlock Value of Data from Across the Digital Enterprise

A recent ARC Advisory Group survey of 365 industry practitioners revealed that two-thirds of respondents believe reliability-centered maintenance (RCM) isn’t improving reliability, and that operations has as much impact on plant asset performance as the maintenance organization.

For food and beverage companies, quality mishaps during production can mean more than a literal poor taste in a customer's mouth. In addition to the potential impact on consumer safety, quality lapses can slow down production and result in money down the drain.

Optimization models that consider a wide variety of manufacturing and business complexities can help chemical companies increase profitability and return on assets.

The PAT (Process Analytical Technology) market is on track to more than double in size by 2023, yet many organizations have not unlocked PAT’s full potential. Watch this on-demand webinar to find out the drivers behind this growth, and how to assess and fast-track your PAT maturity.