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.

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.

Today, it’s more important than ever to perform rigorous optioneering to find the best solutions for improving process efficiency and asset flexibility. In this webinar, AspenTech’s experts will show how the new Aspen Multi-Case™ dramatically accelerates the evaluation of design and operating scenarios, provides visual tools for selecting the best alternatives and improves overall agility and collaboration across the engineering team.

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.

Aspen Technology Announces Financial Results for the Second Quarter of Fiscal 2021

See how aspenONE Engineering enables streamlined conceptual engineering and FEED workflow.

在当今多变的环境中，矿山需要提升设备预测性维护的效率和价值，以 避免生产损失，降低维护成本。但什么样的预测性维护解决方案才是有效的呢？要如何证明投资的合理性？

​It’s time to stop equipment breakdowns: but where and how should you start?

The global pandemic has disrupted the process industries as never before. Shifting market demands and an increasingly remote workforce are challenging companies to operate safely, efficiently and profitably. At the same time, they cannot lose sight of their long-term sustainability goals. Fortunately, advances in technology are helping downstream, upstream and chemical leaders not just adapt, but find new ways to improve operations, reduce risk and create value—all while driving toward a safer, more sustainable business.

Industry Today-4 Factors Driving Industrial AI Category Growth in 2021