Capgemini today announced that it is collaborating with Microsoft to deliver a first-of-its kind, cloud-native, serverless Azure-based digital twin platform, called ReflectIoD.
It may be tempting to rest on your laurels when you finally have your IIoT networks up and running. Nonetheless, change remains the only real constant in life, and the world of industrial networking is no exception.
How the expanded Maximo Ecosystem will be the engine of the Digital twin: Providing visualization & mitigation of Asset Risk for Sustainability, and Lower operating costs while improving Health Safety and Environmental Compliance.
The International Maintenance Conference (IMC) provides a fresh, positive community-based curated experience to gain knowledge and a positive perspective for advancing reliability and asset management through people, their managers, the strategy, the processes, the data and the technology. The world’s best-run companies are connecting the workforce, management, assets and data to automate asset knowledge that can be leveraged for huge beneficial decisions.
A weekly collection of recommended articles and videos to boost your reliability journey. Right in your inbox
Willow, a leader in digital twin technology, has adopted Reekoh as their preferred industrial data integration platform to streamline the acquisition and utilisation of fragmented data within customer organisations.
Without realizing it, we have entered a loop where everything that is not sensitized, does not have an updated added value, it tends to be considered obsolete, and probably an opportunity to be "sensitized." The field of the industrial lubrication is not far from the world of sensors.
AVEVA, a global leader in industrial software, driving digital transformation and sustainability, has announced that its engineering information management solutions, the core of its digital twin, now deliver greater time and value gains for capital projects and operations.
This presentation will focus on how to move your organization to asset condition monitoring 4.0 without losing the value of strategic discussions while focusing on the enhancement of data collection and analysis.
Siemens, a leader in industrial automation and software, infrastructure, building technology and transportation, and NVIDIA, a pioneer in accelerated graphics and artificial intelligence (AI), today announced an expansion of their partnership to enable the industrial metaverse and increase use of AI-driven digital twin technology that will help bring industrial automation to a new level.
Implementing digital twins is becoming a strategic necessity for many industrial companies. In this session, learn the basics of how digital twin models should be built, how to scale and implement these models on assets and systems to create a twin, and discover best practices for how to leverage these twins operationally to predict, diagnose and forecast performance degradation as a part of your reliability work processes.
Siemens is further expanding its portfolio in the field of innovative predictive maintenance and asset intelligence with the acquisition of Senseye. The global industrial analytics software company is headquartered in Southampton, in the UK.
Thanks to the rise of the IIoT, a new business model has emerged: Machine-as-a-Service. Not only does this represent new revenue streams for machine builders, it also gives them a means to verify the feasibility of new technology in specific applications before charging customers.
Industrial maintenance as a service (#imaas) transfers the digital and/or manual management of maintenance and industrial operations from machine users to machine manufacturers (OEMs), while improving it considerably.
More than ever, organizations need training and development solutions that empower workers to improve plant performance, uptime, reliability and safety
SKF Axios represents a tremendous opportunity for industrial customers of all sizes to benefit from scalable, data-driven, machine-learning technologies offered by AWS
The emergence of the Industrial Internet of Things (IIoT) has changed the way the Operational Technology (OT) world uses data tremendously. In the past, data was simply collected for monitoring purposes to ensure production goes according to schedule.
ChatGPT with ReliabilityWeb: Find Your Answers Fast