Articles and News

By Antony Bourne This article highlights what he believes are three major ethical issues facing the industry, as manufacturers weigh up their AI investments and embark upon this new technological direction in the wake of the COVID-19 pandemic.

At the click of a button, visitors can download resources on additive manufacturing (AM), artificial intelligence (AI), Industry 4.0, cyber security, obsolescence, sustainability and the circular economy.

The worldwide market for artificial intelligence software will expand to $98.8 billion by 2025, rising by a factor of six from $16.4 billion in 2019—despite the varying effects of the COVID-19 pandemic across different industries, according to Omdia.

ROI Lock is supported by an AA- rated global reinsurance company and will apply to eligible customers monitoring 50 or more assets for a minimum of 12 months.

By Chris Turlica, MaintainX Modern factories are as sophisticated as any server farm or computer lab, and to keep them firing on all cylinders we’ll need high-tech solutions too.

The addition of UltraSoC to Siemens enables a unified data-driven infrastructure, and the creation of a solution to help semiconductor industry customers overcome key pain points including manufacturing defects, software and hardware bugs, device early-failure and wear-out, functional safety, and malicious attacks.

By Takayuki Sugizaki, Yokogawa Electric Plant managers are faced with the dual challenges of increasing production efficiency while maintaining aging equipment, and corporate executives must do the same across the entire manufacturing enterprise. In the process industries, subject matter experts (SMEs) are those end user employees with the expertise required to understand processes and equipment.

Jon Lederman is a tech entrepreneur, scientist, and engineer. He is the CEO and founder of New York-based Spinor, which is developing AI technology for creating conversational voice experiences for enterprise and consumer applications.

The technology partnership will work to simplify the deployment of deep learning-based classification, segmentation, and object detection capabilities for visual inspection applications.

As the winner, Contilio was awarded €25,000 and the opportunity to deliver a live proof of concept (POC) at the TÜV SÜD International Business Park in Singapore.

Grazper has developed artificial intelligence (AI) technologies for analyzing images, and Yokogawa aims to leverage these technologies within its various existing businesses and to develop new industrial AI solutions.

By Bill Lydon While the April Hannover Messe event is cancelled, industrial companies remain focused on digital transformation techniques, methods and ideas.

While bottlenecks still exist in today’s manufacturing environment, the good news is that the Industrial Internet of Things (IoT) is providing new ways to solve them.

Despite the current social and economic turmoil surrounding the COVID-19 pandemic, ARC Advisory Group remains optimistic that the global market for industrial asset performance management (APM)-related solutions will rebound strongly over the long term.

The web-based solution gives plant operators and management teams real-time monitoring and control access to plant operations and performance over a secure-by-design connection such as VPN. This allows critical infrastructure to operate with a reduced crew on site, while being able to coordinate with their wider teams remotely.

The automotive sensor market saw the highest growth in 2018, and the Research and Markets predicts the automotive sector will continue to dominate the sensor market until 2029. So, what can the wider manufacturing industry learn from this?

The collaboration combines Emerson’s global reach and an independent E&P software portfolio with QRI’s industry expertise in applying augmented AI, machine learning and advanced analytics for asset and reservoir management.

ABB, a supplier of industrial robots, and Silicon Valley AI start-up, Covariant, announced a partnership to bring AI-enabled robotics solutions to market, starting with a fully autonomous warehouse order fulfilment solution.

The servitization maturity model is a four-step process that will serve as the roadmap for manufacturers to navigate the necessary steps and changes required for the journey to delivering Product-as-a-Service (PaaS).

HARTING is offering the modular edge computing MICA, which has been designed according to industrial standards for multiple industrial applications, and Expleo is contributing its know-how in connectivity and data-scientific competence.