Search for tag: "manufacturing"

Hong Kong ASTRI: Using an agile approach to systems engineering

To help develop smart manufacturing technology, Hong Kong Applied Science and Technology Research Institute Company Limited (ASTRI) wanted to introduce a more agile development approach for its…

From  270006PUJ5 270006PUJ5 on September 17th, 2021

IBM Systems Manufacturing: Maximizing enterprise value through AI and edge computing

A US-based manufacturer of computer systems increases manufacturing efficiency when it automates deployment and management of AI-powered inspection apps across the enterprise using IBM Hybrid Cloud…

From  310001C2YN 310001C2YN on June 7th, 2021

IBM & Siemens Partnership Video

This video announces a collaboration between Siemens, IBM and Red Hat to accelerate digital transformation across the manufacturing industry. The joint initiative will apply IBM’s open, hybrid…

From  270006HDJ4 270006HDJ4 on May 11th, 2021

AI and the hybrid cloud power a smart manufacturing edge appliance

A cloud and edge computing services provider helps manufacturers optimize production and bring the hybrid cloud to the network edge by engaging IBM Global Business Services to help develop an…

From  310001C2YN 310001C2YN on May 6th, 2021

Replacing "what went wrong?" with "let’s plan ahead"

Instead of reacting to yesterday’s problems, IBM Global Leader David Meek explains that Industry 4.0 lets manufacturing engineers predict and plan for tomorrow’s solutions.

From  50PSPPN60R 50PSPPN60R on April 19th, 2021

Why data centers died

IBM Global Leader David Meek explains why old-school data centers fell short, making way for Industry 4.0, cloud-based technology with endless memory, processing and space.

From  50PSPPN60R 50PSPPN60R on April 15th, 2021

IBM intelligent industry cloud for industrial manufacturing with SAP

In collaboration with SAP, IBM is delivering intelligent workflows built on SAP’s intelligent suite with industry cloud solutions. The workflows cover the entire industrial manufacturing value…

From  270006HDJ4 270006HDJ4 on April 8th, 2021

Manufacturers are using AI on a hybrid cloud with IBM

Manufacturers are using AI on a hybrid cloud with IBM

From  120000DB5W 120000DB5W on April 5th, 2021


制造商需要一种更简单的方法来减少制造错误。 Maximo 视觉检测移动可以在整个制造过程中执行防错,并帮助在安装时阻止缺陷。由于解决方案使用商用现成的 iOS 设备,因此无需昂贵的设备和摄像头。自学机器算法消除了对数据科学家的需求,设计用于在运营生产线的人手中工作。解决方案可以在几个小时内完成并部署,而不是数周或数月,从不疲劳,将目视远方,并提供一致的问题识别,消除主观性。

From  50UQ6M3JSN 50UQ6M3JSN on March 30th, 2021


IBM 数据湖的技术和方案已经应用于各行各业。IBM 专家和 AI 独角兽-地平线的用户,分享 IBM 数据湖方案如何应用在芯片制造企业,实现加速研发、简化数据管理,从而达到降本增效。视频后半部分分享了案例技术细节。 IBM 面向 AI 的存储解决方案:…

From  310002MAWF 310002MAWF on January 30th, 2021

IBM firm help improve online presence for Wienerberger with SAP & Adobe

Wienerberger AG is the world’s largest producer of bricks. The traditional company’s goal is to improve people’s quality of life with integrated clay solutions, services, and…

From  310001C2YN 310001C2YN on November 23rd, 2020


今日の製造業務にはあらゆる面における優位性が求められます。迅速な規模の拡大縮小や、ツール の再構築、Operationの見直しに柔軟に対応する必要があります。機械の稼働音と製品の流れを維持するために、現代の製造には信頼とレジリエンスが 必要です。IBMは、設備稼働を最適化し、高度なテクノロジーとソリューションで問題発生前に防止することを支援します。 …

From  CorpMkt-EiC-JD on November 18th, 2020

How to turn your IoT data into valuable insights and transform the efficiency of your manufacturing operations

Find out how you can utilise existing data collected over SCADA and PLCs to make assessments and even predictions about the health of your assets in real-time.

From  chq_mkt_delegated on November 12th, 2020

Build greater adaptability and resilience in your Supply Chain with an AI powered Control Tower

Find out how an AI powered, manufacturing-centric Control Tower empowers you to deliver real-time insights to take actions that deliver value to your business.

From  chq_mkt_delegated on November 12th, 2020

Accelerating Manufacturing Innovation: 5G Factory of the Future Programme

Join the members of 5G consortium who will share more about the two-year project and the innovation this will drive for the manufacturing industry.

From  chq_mkt_delegated on November 12th, 2020