Hear how industry leaders from ConocoPhillips, NOVA Chemicals, P66 and McKinsey view digitalization best practices and value generation, and how they are laying the foundation for the smart asset of the future. Below are a few of the highlights:

Industrial organizations require greater agility and flexibility in their operations as they face unprecedented market volatility and complexity along with increasing expectations on safety, sustainability and return on capital.

As APM and other transformative technologies gain traction in our industries, it’s important to share examples of success and dispel any remaining myths around AI. Steve Hillock shares his POV here.

In this case study, learn how Braskem Idesa used Aspen ProMV™ to proactively identify and correct for conditions that historically led to high reactor fouling.

En este caso de estudio, conozca cómo Braskem Idesa utilizó Aspen ProMV ™ para identificar y corregir de manera proactiva y de acuerdo a las condiciones históricas que llevaron a una mayor velocidad de ensuciamiento.

Neste estudo de caso, saiba como a Braskem Idesa usou o Aspen ProMV™ para identificar e corregir em forma proativa condições que históricamente levaram ao entumpimento dos reatores altos.

Join Frédéric Bastien, VP of AIoT Technology & Product Management, and Adi Pendyala, Senior Director of AIoT Product Marketing, both with AspenTech®, as they explain how the AIoT Hub enables data integration and mobility from sensors, historians and other data sources across the enterprise – from the edge to the cloud - to accelerate the delivery of enterprise-wide visualizations, actionable insights and AI-enabled applications for capital-intensive industries, like yours.

The confluence of AI and IIoT technological forces gives rise to a new digital solution category – the Artificial Intelligence of Things (AIoT) – that centers on unlocking the hidden business value in industrial data. This category describes the combination of AI technologies with the IIoT to enable the next-generation of Industrial AI infrastructure, allowing organizations to achieve more efficient IIoT operations, enable seamless human-machine workflows, harmonize industrial data management, and rapidly transform raw data into tangible business outcomes.

As companies look to embrace AI, they are challenged with data collection and data integration – which are key to realizing AI’s full potential. For example, according to one study, between 60% and 73% of data within an enterprise goes unused. This requires a fundamental change in how organizations access, gather and analyze data. Fortunately, there are solutions to help manage industrial data and create more value from AI applications.

Hoy en día, es más importante que nunca el análisis de opciones rigurosas que encuentren las mejores soluciones para incrementar la eficiencia del proceso y la flexibilidad de los activos. En este webinar, el experto de AspenTech mostrará cómo el nuevo Aspen Multi-Case acelera drásticamente la evaluación de escenarios de diseño y operación, proporciona herramientas visuales para seleccionar las mejores alternativas y mejora la agilidad y la colaboración general en todo el equipo de ingeniería.