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The Impact Of Digital Twins On The Manufacturing Industry

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The Impact Of Digital Twins On The Manufacturing Industry

Recent technological advancements have ushered in a new era known as Industry 4.0.

This era is defined by the integration of technologies such as the Internet of Things (IoT), artificial intelligence (AI), machine learning, and augmented reality (AR), which increase efficiency, improve quality, and lower production costs. Among the innovations that have gained prominence in this digital age, the adoption of digital twins has emerged as a game-changer.

The Rise of Digital Twins

3 Approaches For Making a Digital Twin Strategy Future Ready

According to a forecast by Gartner, by 2021, half of the large industrial companies will be utilizing digital twins, leading to a significant 10% improvement in effectiveness. This prediction highlights the growing significance of digital twins in the industrial landscape. Digital twins have been incorporated by 13% of businesses that have started implementing IoT, and another 62% are either in the process of doing so or have plans to do so soon, according to research.

Unlocking the Potential of Digital Twins in Manufacturing

Digital twin development companies have witnessed significant adoption within the realm of manufacturing and have revolutionized traditional manufacturing practices. Digital twins, which NASA first used for space exploration programs, are now helpful across many industries, particularly in manufacturing. According to Gartner, a digital twin is a software design pattern that simulates a physical object to understand its state, react to changes, enhance business processes, and add value.

IIoT: Revolutionizing Manufacturing with Digital Twins

Manufacturers have embraced the Industrial Internet of Things (IIoT) to enhance business functions. Manufacturers can gather valuable data by leveraging sensors and connected devices to improve the entire product life cycle, including services and supply chain operations. Integrating digital twins with IIoT enables manufacturers to plan, experiment, predict, analyze, and implement strategies more effectively, significantly saving costs, time, and resources.

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From Concept to Reality: Using Digital Twins in Manufacturing

Digital twins play a pivotal role in streamlining operations throughout the product life cycle in the manufacturing sector. Manufacturers can utilize digital models to analyze potential errors, simulate various outcomes, and optimize their production processes before physically bringing the product to market. Prominent examples include Tesla, which utilizes real-time IoT data and digital twins to improve the efficiency and performance of their vehicles, and Kaeser compressors. This manufacturing company uses digital twins to foresee potential failures and reduce downtime.

AI: Powering Manufacturing Advancements through Digital Twins

Artificial Intelligence (AI) is a driving force behind the advancements witnessed in Industry 4.0, and its integration with digital twins holds immense potential for manufacturers. Manufacturers can identify complex virtual scenarios by combining AI algorithms with digital twins, optimize product quality, and enhance efficiency. AI, machine learning, and deep learning techniques enable manufacturers to comprehend and analyze complex virtual data, exploring multiple variables that may not be possible with real-world data alone.

Augmented Reality and Digital Twins: Shaping the Future

Augmented reality (AR) is a powerful tool with digital twins that enables manufacturers to create immersive data visualizations and extract valuable insights from complex datasets. AR allows manufacturers to overlay digital information onto physical assets, facilitating training, providing real-time insights, and aiding in issue detection. Incorporating mixed reality further enhances these capabilities, enabling workers to visualize machinery and access key data outputs, ultimately improving efficiency and reducing turnaround time.

Digital Twins Beyond Manufacturing

4 Benefits of Deep Learning in Manufacturing

While manufacturing has been at the forefront of leveraging digital twins, other industries are also adopting this technology. In the retail sector, the combination of augmented reality and digital twins allows retailers to create digital replicas of physical products, enabling customers to visualize them in real-world settings. This approach minimizes inventory loss and enhances security. Similarly, digital twins enable providers to experiment in simulated environments, optimize patient treatments, and maintain healthcare equipment effectively, preventing workflow disruptions.

Summing Up

As more industries undergo digital transformation, the seamless integration of IoT, AI, and other cutting-edge technologies with digital twins will continue to yield impressive results. Businesses can optimize digital twin development costs, resources, and product quality with data at the core of digital twins. While large corporations have readily embraced digital twins, there is still significant potential for small and medium-sized businesses and other industry sectors to benefit from this innovative approach in their strategic decision-making processes.

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Next-gen chips, Amazon Q, and speedy S3

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AWS re:Invent, which has been taking place from November 27 and runs to December 1, has had its usual plethora of announcements: a total of 21 at time of print.

Perhaps not surprisingly, given the huge potential impact of generative AI – ChatGPT officially turns one year old today – a lot of focus has been on the AI side for AWS’ announcements, including a major partnership inked with NVIDIA across infrastructure, software, and services.

Yet there has been plenty more announced at the Las Vegas jamboree besides. Here, CloudTech rounds up the best of the rest:

Next-generation chips

This was the other major AI-focused announcement at re:Invent: the launch of two new chips, AWS Graviton4 and AWS Trainium2, for training and running AI and machine learning (ML) models, among other customer workloads. Graviton4 shapes up against its predecessor with 30% better compute performance, 50% more cores and 75% more memory bandwidth, while Trainium2 delivers up to four times faster training than before and will be able to be deployed in EC2 UltraClusters of up to 100,000 chips.

The EC2 UltraClusters are designed to ‘deliver the highest performance, most energy efficient AI model training infrastructure in the cloud’, as AWS puts it. With it, customers will be able to train large language models in ‘a fraction of the time’, as well as double energy efficiency.

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As ever, AWS offers customers who are already utilising these tools. Databricks, Epic and SAP are among the companies cited as using the new AWS-designed chips.

Zero-ETL integrations

AWS announced new Amazon Aurora PostgreSQL, Amazon DynamoDB, and Amazon Relational Database Services (Amazon RDS) for MySQL integrations with Amazon Redshift, AWS’ cloud data warehouse. The zero-ETL integrations – eliminating the need to build ETL (extract, transform, load) data pipelines – make it easier to connect and analyse transactional data across various relational and non-relational databases in Amazon Redshift.

A simple example of how zero-ETL functions can be seen is in a hypothetical company which stores transactional data – time of transaction, items bought, where the transaction occurred – in a relational database, but use another analytics tool to analyse data in a non-relational database. To connect it all up, companies would previously have to construct ETL data pipelines which are a time and money sink.

The latest integrations “build on AWS’s zero-ETL foundation… so customers can quickly and easily connect all of their data, no matter where it lives,” the company said.

Amazon S3 Express One Zone

AWS announced the general availability of Amazon S3 Express One Zone, a new storage class purpose-built for customers’ most frequently-accessed data. Data access speed is up to 10 times faster and request costs up to 50% lower than standard S3. Companies can also opt to collocate their Amazon S3 Express One Zone data in the same availability zone as their compute resources.  

Companies and partners who are using Amazon S3 Express One Zone include ChaosSearch, Cloudera, and Pinterest.

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Amazon Q

A new product, and an interesting pivot, again with generative AI at its core. Amazon Q was announced as a ‘new type of generative AI-powered assistant’ which can be tailored to a customer’s business. “Customers can get fast, relevant answers to pressing questions, generate content, and take actions – all informed by a customer’s information repositories, code, and enterprise systems,” AWS added. The service also can assist companies building on AWS, as well as companies using AWS applications for business intelligence, contact centres, and supply chain management.

Customers cited as early adopters include Accenture, BMW and Wunderkind.

Want to learn more about cybersecurity and the cloud from industry leaders? Check out Cyber Security & Cloud Expo taking place in Amsterdam, California, and London. Explore other upcoming enterprise technology events and webinars powered by TechForge here.

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HCLTech and Cisco create collaborative hybrid workplaces

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Digital comms specialist Cisco and global tech firm HCLTech have teamed up to launch Meeting-Rooms-as-a-Service (MRaaS).

Available on a subscription model, this solution modernises legacy meeting rooms and enables users to join meetings from any meeting solution provider using Webex devices.

The MRaaS solution helps enterprises simplify the design, implementation and maintenance of integrated meeting rooms, enabling seamless collaboration for their globally distributed hybrid workforces.

Rakshit Ghura, senior VP and Global head of digital workplace services, HCLTech, said: “MRaaS combines our consulting and managed services expertise with Cisco’s proficiency in Webex devices to change the way employees conceptualise, organise and interact in a collaborative environment for a modern hybrid work model.

“The common vision of our partnership is to elevate the collaboration experience at work and drive productivity through modern meeting rooms.”

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Alexandra Zagury, VP of partner managed and as-a-Service Sales at Cisco, said: “Our partnership with HCLTech helps our clients transform their offices through cost-effective managed services that support the ongoing evolution of workspaces.

“As we reimagine the modern office, we are making it easier to support collaboration and productivity among workers, whether they are in the office or elsewhere.”

Cisco’s Webex collaboration devices harness the power of artificial intelligence to offer intuitive, seamless collaboration experiences, enabling meeting rooms with smart features such as meeting zones, intelligent people framing, optimised attendee audio and background noise removal, among others.

Want to learn more about cybersecurity and the cloud from industry leaders? Check out Cyber Security & Cloud Expo taking place in Amsterdam, California, and London. Explore other upcoming enterprise technology events and webinars powered by TechForge here.

Tags: Cisco, collaboration, HCLTech, Hybrid, meetings

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Canonical releases low-touch private cloud MicroCloud

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Canonical has announced the general availability of MicroCloud, a low-touch, open source cloud solution. MicroCloud is part of Canonical’s growing cloud infrastructure portfolio.

It is purpose-built for scalable clusters and edge deployments for all types of enterprises. It is designed with simplicity, security and automation in mind, minimising the time and effort to both deploy and maintain it. Conveniently, enterprise support for MicroCloud is offered as part of Canonical’s Ubuntu Pro subscription, with several support tiers available, and priced per node.

MicroClouds are optimised for repeatable and reliable remote deployments. A single command initiates the orchestration and clustering of various components with minimal involvement by the user, resulting in a fully functional cloud within minutes. This simplified deployment process significantly reduces the barrier to entry, putting a production-grade cloud at everyone’s fingertips.

Juan Manuel Ventura, head of architectures & technologies at Spindox, said: “Cloud computing is not only about technology, it’s the beating heart of any modern industrial transformation, driving agility and innovation. Our mission is to provide our customers with the most effective ways to innovate and bring value; having a complexity-free cloud infrastructure is one important piece of that puzzle. With MicroCloud, the focus shifts away from struggling with cloud operations to solving real business challenges” says

In addition to seamless deployment, MicroCloud prioritises security and ease of maintenance. All MicroCloud components are built with strict confinement for increased security, with over-the-air transactional updates that preserve data and roll back on errors automatically. Upgrades to newer versions are handled automatically and without downtime, with the mechanisms to hold or schedule them as needed.

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With this approach, MicroCloud caters to both on-premise clouds but also edge deployments at remote locations, allowing organisations to use the same infrastructure primitives and services wherever they are needed. It is suitable for business-in-branch office locations or industrial use inside a factory, as well as distributed locations where the focus is on replicability and unattended operations.

Cedric Gegout, VP of product at Canonical, said: “As data becomes more distributed, the infrastructure has to follow. Cloud computing is now distributed, spanning across data centres, far and near edge computing appliances. MicroCloud is our answer to that.

“By packaging known infrastructure primitives in a portable and unattended way, we are delivering a simpler, more prescriptive cloud experience that makes zero-ops a reality for many Industries.“

MicroCloud’s lightweight architecture makes it usable on both commodity and high-end hardware, with several ways to further reduce its footprint depending on your workload needs. In addition to the standard Ubuntu Server or Desktop, MicroClouds can be run on Ubuntu Core – a lightweight OS optimised for the edge. With Ubuntu Core, MicroClouds are a perfect solution for far-edge locations with limited computing capabilities. Users can choose to run their workloads using Kubernetes or via system containers. System containers based on LXD behave similarly to traditional VMs but consume fewer resources while providing bare-metal performance.

Coupled with Canonical’s Ubuntu Pro + Support subscription, MicroCloud users can benefit from an enterprise-grade open source cloud solution that is fully supported and with better economics. An Ubuntu Pro subscription offers security maintenance for the broadest collection of open-source software available from a single vendor today. It covers over 30k packages with a consistent security maintenance commitment, and additional features such as kernel livepatch, systems management at scale, certified compliance and hardening profiles enabling easy adoption for enterprises. With per-node pricing and no hidden fees, customers can rest assured that their environment is secure and supported without the expensive price tag typically associated with cloud solutions.

Want to learn more about cybersecurity and the cloud from industry leaders? Check out Cyber Security & Cloud Expo taking place in Amsterdam, California, and London. Explore other upcoming enterprise technology events and webinars powered by TechForge here.

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Tags: automation, Canonical, MicroCloud, private cloud

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