Remove Artificial Intelligence Remove Pharmaceutical Remove Process manufacturing
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Digital transformation shift for process manufacturers

Control Engineering

A people-centered approach to digital transformation can help process manufacturers enhance knowledge transfer and empower workers at all levels of the organization. The knowledge transfer problem in process manufacturing. Preparing process plants for tomorrow’s labor market. Courtesy: eschbach. In the U.S.,

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Taking a different approach to DCS upgrades

Control Engineering

Embracing concepts and technologies such as artificial intelligence (AI), machine learning (ML) and smart manufacturing can help. Today, pharmaceutical production plants must embrace more flexible production and faster process implementation to reduce time to market for new product developments.

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Platinum ERP Solutions from BusinessHub

Manufacturer's Monthly

In addition, there is a lot being discussed about secure and useful tools using artificial intelligence and machine learning capability both within the product and connected into the core workflows.” The company is also aiming to enhance process manufacturing capability. “We

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Seeq Awarded Frost & Sullivan’s 2023 Global Market Leadership Award for Industrial Analytics

Frost & Sullivan Manufacturing

Seeq helps global leaders in oil & gas, chemicals, pharmaceuticals, mining, and more drive profitability and sustainability via its advanced analytics, machine learning (ML), and artificial intelligence (AI) time series data platform.