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As companies leverage new technologies on their journey to becoming a smart enterprise, they can maximize existing assets and instrumentation with best practices. Join us to hear IIoT experts Keith Flynn, Aspen Technology and Kevin Nelson, Advantech, discuss how to ensure successful digital transformation projects and profitable results.

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.

Delivering higher levels of profitability and sustainability with Industrial AI. We embed AI into our most widely adopted, industry-leading products and solutions, and empower data scientists to collaborate with domain experts to enrich models.

This ARC Advisory Group report explains how AIoT is built for industrial companies looking for better ways to:

Disruptive technologies such as artificial intelligence and machine learning are driving new asset optimization opportunities across the process industries. In this new report, ARC Advisory Group analyst Peter Reynolds describes how AspenTech is enabling greater asset performance by putting these important tools in the hands of people who actually design, operate, and maintain plants. Learn how AspenTech is changing the industry paradigm by focusing on industry-specific IIoT applications that deliver the most value.

在2018年，艾斯本在中国举办了第二次的大型客户会议。下载了解ARC对2018年的中国优化峰会的意见及检讨。

未来を定義するということは、過去に立脚するということです。世界が変化し続ける中、アスペンテックにはお客様の未来に向けた準備を支援してきた経験があります。アスペンテックは、AIの力を生かして信頼性、効率性、俊敏性を新たなレベルに引き上げることにより、お客様がより安全に、より地球にやさしく、より長く、より素早く企業活動を行えるようお手伝いをします。未来は今、始まります。アスペンテックと共に歩む未来とはどのようなものなのか、このビデオでお確かめください。

Aspen Edge Connect™ collects data from multiple assets, cleansing and pooling it together for analysis with an edge processing device. Data can then be stored securely in the cloud or with an on-premise solution.

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