EDGE COMPUTING IN THE NEW OT ECOSYSTEM

whitePaper | February 24, 2023

Business demands have forced manufacturers to be more agile. Smart manufacturers are adopting technology, specifically digital twins, to move faster. Using a digital twin in a manufacturing environment can fast-track discovering bottlenecks, drive efficiencies, lower costs, reduce environmental footprint, and help manage risk. However, there is mystery around digital twins, from defining what they are and their strengths to the critical importance of an ecosystem approach to address the diversity of digital twin scenarios. The goal of this paper is to demystify digital twins, so more manufacturers can apply the technology and bring agility to their operations.

whitePaper | June 20, 2022

It is almost cliché that the automotive industry is undergoing transformational change. Perhaps not since the Model T first revolutionized the industry has so much change come so quickly. Driving this evolution is the unstoppable momentum of a Connected, Automated, Shared, and Electrified (CASE) driven digital transformation, which is upending established norms and re-imagining the industry from the inside out. Linear, product-focused business models built on structured data are being replaced by collaborative, data-driven business ecosystems incorporating a broad group of traditional and non-traditional stakeholders and data types. The new value creation frontier is a differentiated, highly-curated, personalized customer experience.

whitePaper | January 3, 2023

In order to achieve digital manufacturing through Industry 4.0, it is critical to aggregate and manage the huge amount of data generated in the factory by Industrial Internet of Things (IIoT) sensors and devices. Having connected machines, workers and systems is just the start of the digital transformation journey. To extract real value from this connectivity, a digital twin of machines and processes have to be modeled in a standardized manner which will help aggregate heterogeneous data and provide valuable insights to drive productivity and efficiency. The interoperability and flexibility of different assets is an important challenge due to the volume and variety of data that needs to be modeled. This paper will go over Industry 4.0 compliant data modeling principles using the MongoDB Smart Factory testbed as an example. We will model the data using MongoDB Atlas in a way that fulfills requirements and needs of Industry 4.0: interoperability, flexibility and scalability.

whitePaper | September 21, 2022

In its early days, 3D Printing reinvented the prototyping process by allowing a faster and more cost-efficient way to create new products. The effortless experimentation with CAD designs and the production of proof-of-concepts with almost no design limitations or material waste, revolutionized the prototyping world.

whitePaper | December 30, 2022

In recent years, Data and analytics capabilities have made a good progress resulting to numerous recent advancements. Majority of advancements have been made in various ways like development of more sophisticated algorithms, exponential growth in the volume of available data, and storage and computational power have uninterruptedly improved. The combination of these trends has led to business disruptions and fueling rapid technology advances.

whitePaper | February 21, 2022

Industry 4.0 presents a once in a lifetime opportunity to modernise and digitise the industrial arena, and that alone should be reason enough to delve further into its possibilities.