You and your organization know that contributions from maintenance are key to improving operations and helping your company stay competitive. However, many teams are not yet taking advantage of the latest advances in asset performance management, or APM, to help make the right decisions to drive an effective maintenance strategy.

Feature engineering, state classification and best model selection can be complex, time-consuming tasks for data science teams. While building customized tools is often the first instinct, today’s Asset Performance Management (APM) applications with built-in industry expertise can help data scientists speed up this process to rapidly design and scale new solutions.

本ウェビナーではAspen User Certificationプログラムとeラーニングについて紹介します。 Aspen User Certificationプログラムは、オンラインでの洗練された認定テストを通じて、ご自身もしくはチームメンバーのアスペン製品のスキル評価を行なうことができます。認定資格を取得することにより必要なスキルを獲得し、またご自身のアスペン製品の習熟度の確認にもご利用いただけます。

Unexpected events can disrupt operations and create prolonged quality and safety issues. Front-line operators may be ill-equipped with the skills or tools to quickly analyze and rectify disturbances. Fortunately, new Industrial AI applications deliver advanced analysis and visualizations to help teams take action quickly.

As predictive and prescriptive analytics become better understood across industries, companies are putting new focus on maintenance maturity and the use of digital technologies. They’re realizing that having a robust maintenance program means leveraging APM technology—and their data—to the fullest advantage.

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.

Each hour spent tracking down information related to production events is an hour taken away from making improvements to your business. In this video, watch how Aspen Event Analytics™ enables operators and front line process and production engineers to quickly and easily analyze the causes behind production events.

Unknown, unexpected process behaviors that cause manufacturing disruptions can lead to a loss in quality, yield, and profitability. With Aspen Event Analytics™, operators and process engineers can rapidly understand unexpected operational events, so they can take early action to stabilize the process. Learn how Aspen Event Analytics accelerates and simplifies the process of investigating everyday issues— assuring fast, accurate decision making, minimizing impact on productivity, and preventing process disruptions.

Use AspenTech’s Operational Analytics to improve operator effectiveness, avoid production losses, and improve profits.

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