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Five Technology Trends Driving Manufacturing (Are you on Board?)

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Five Technology Trends Driving Manufacturing (Are you on Board?)

Corporations that create in this world facilitate so many integral pieces to contemporary life by way of manufacturing.

Manufacturing is quite literally a backbone to so many other industries, generating components for medical devices, automobiles, electronics, and machinery that keeps everything progressing forward. All of these components frequently need to be replaced, or more often upgraded thanks to new innovations that create new capabilities and in turn create new needs.

In addition, global supply chain shortages are driving a new wave of nearshoring to put manufacturing closer to customer locations. New manufacturing plants will utilize the latest technologies in an effort to increase productivity and competitive advantage. Due to the fact that technology-driven exponential change affects everything, manufacturing businesses must always keep up.  

Of all industries, this one is one that has to be anticipatory in both how they manufacture items, and in foreseeing disruptions and change long before they create problems. But as of late, the disruptions the manufacturing industry faces are actually being caused by new disruptive Hard Trends impacting their processes, and ones that can and will improve the life of human users of products.

Five Tech Trends Impacting the Manufacturing Industry

VR Manufacturing Automation

  1. Increasing use of virtualization of hardware and software, including storage, applications and networking. Like all businesses, using new tools to elevate your core competencies is an imperative, but to keep costs low and deploy manpower in the best way, many are turning to new virtualized alternatives. The virtualization of software and hardware has been increasingly used by both large and small businesses as virtualization security improved. Hardware as a Service (HaaS) has increasingly joined Software as a Service (SaaS), creating what some have called “IT-as-a-Service.” How does this impact manufacturing companies and their processes?

When you think of automated manufacturing, you might not consider the actual brain of something operating. The rapid increase in data being generated by systems requires faster processing power, including the virtualization of processing power, and tremendous amounts of storage, including virtual storage. These improvements transform machines and mobile devices into supercomputers that will help companies cut costs and accelerate innovation in ways only possible utilizing new digital technology.

Going back to IT-as-a-Service for a moment, the thought of how much is involved in automated systems of manufacturing is already mind-boggling. Now, imagine how elaborate an IT department is needed to keep everything running! This virtualization Hard Trend provides access to powerful software programs and the latest technology without the expense of a large IT staff and time-consuming, expensive upgrades.

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  1. Virtual reality (VR), including the metaverse, augmented reality (AR) applications and digital twins, will shift from a rapid evolution to a revolutionary level of applications. Augmented reality allows users to point a digital camera, using a smartphone or by simply wearing AR glasses when they look at something, and they will see an overlay of just-in-time information about the subject they are focusing on. Soon, companies like Apple and others will be selling conventional-looking AR glasses that allow wearers to overlay data on their field of vision, providing useful information about what they’re looking at. 

The application of this tech trend in manufacturing is endless, and an interesting junction where human being capabilities meet transformative digital technology. For instance, there are currently employees in many auto manufacturers who troubleshoot issues with robots assembling cars and producing components. What if they could simply glance at the machine and see a prompt on their safety glasses to understand exactly what the problem may be?

This doesn’t stop at the manufacturing floor. Virtual reality uses oversized headsets to shut out the real world and provide an immersive, computer-generated 3D environment with which the wearer can interact. Imagine working on a machine for that same auto manufacturer, but from your home office by way of a virtual environment emulating the real environment in real time? Thanks to new relatively low-cost hardware, new commercial applications for specific areas of the manufacturing industry are currently being developed.

  1. Rapid convergence of the Internet of Things (IoT) combined with edge computing, AI and 5G will accelerate, forming the Internet of Everything (IoE) If augmented reality and the speed at which a professional work in the manufacturing industry wasn’t enough, 5G connectivity and the Internet of Things (IoT) will accelerate manufacturing processes even further. Edge computing will increasingly be used to tame the massive amounts of data generated by IoT applications, and as more and more machines and components have networked sensors added to them, we will see the emergence of the Internet of Everything (IoE), bringing instant insights and actions to the point of use and at the speed of need.

Humans already interact with machines, but what many manufacturing firms have discovered is the power of machine-to-machine (M2M) communications that are fast improving. This tech trend utilizes chips, microsensors, and both wired and wireless networks that will join networked sensors to create a rapidly growing IoT, sharing real-time data, performing diagnostics and making virtual repairs, all without human intervention.

Professionals and anticipatory leaders in manufacturing should look for ways to implement these Hard Trends now, because if you don’t, your competition will! There are well over 50 billion “things” talking to each other, performing tasks and making decisions based on predefined guidelines using AI. Think exponentially about where human beings fit and, more importantly, where their skills are absolutely needed in this equation.

  1. The adoption of tele-education, remote instruction, online learning and the gamification of training and education will advance rapidly. Upgrading our employees’ skills is even more important than upgrading technology. Just like in many industries, manufacturing is currently facing a Great Resignation of sorts. In some cases, employees are leaving because the company they are working for is protecting and defending the status quo instead of embracing the transformational technology changes that are now available. In addition, the Baby Boomer generation is retiring. Baby Boomers retiring is a Hard Trend future certainty that cannot be changed; the real problem is will they take their knowledge with them when they leave?

One major incentive in bringing new, young talent to work in manufacturing is quality training, which in and of itself is reassurance to those individuals that they have an actual future at these organizations even as new autonomous technology is implemented. Blended learning is using a combination of online and in-classroom instruction, together with instructional chatbots and AR and VR tools. This will increasingly be used to give employees an immersive experience via retraining and re-skilling, as future disruptions in their status quo occur.

To keep up with the pace of change, education and training will increasingly focus on accelerating learning by using advanced simulations and skill-based learning systems that are self-diagnostic, interactive, game-like and competitive. By making the experience fun, engaging and personalized, learning will improve and the barrier of entry to the industry will lower.

  1. Advances in 3D printing (additive manufacturing) are moving from rapid evolution to revolution and they are rapidly being applied to an ever-expanding number of industries. Here is where we arrive at the products and how technological trends transform the tactile end results of manufacturing. Both customized and personalized manufacturing of finished goods using 3D printing has been growing exponentially and, thanks to global supply chain disruptions, has been accelerated to a new level.

3D printers build things by depositing material, typically plastic or metal, layer by layer, until the product is finished. Originally designed to print prototypes, 3D printers are now increasingly being used to print final products for anything you can imagine, including jewelry, iPhone cases, shoes, car dashboards, parts for jet engines, buildings, bridges, prosthetic limbs, human jaw bones, blood vessels, organs, and much more. 

An ever-increasing number of manufacturers are adding 3D printing to their core capability list, making industrial-size, high-quality 3D printers something that manufacturing companies must get in front of now. As a business leader, it again pays to think exponentially about how you can continue to offer clients top-notch work that keeps them utilizing your services and not trying to find a different supplier or do it themselves. For instance, 3D printing as a service is increasingly becoming a topic of conversation by the likes of Amazon, where they could 3D manufacture their own products. If you don’t consider how to leverage this shift in the industry, others will!

Leverage These Trends with an Anticipatory Mindset

Why Leaders Should Adopt an Experimental Mindset

As evidenced in the five tech trends explored in today’s blog, an anticipatory mindset is a sure-fire way for manufacturing leaders to both leverage technology that makes them more productive, but also to think exponentially about how they can stay ahead of disruptions that could quite easily put their workforce out of a job, or their organization as a whole out of business.

In terms of processing power, high-speed connectivity, and AI and AR applications that are already involved in manufacturing, start to brainstorm how your organization’s future would look if you could leverage those technologies any way you feel necessary. For example, if you are noticing your customer base is demanding faster and faster turnaround times for products, how can your human workforce work better by implementing 3D printing or any of the five trends I outlined in this blog?

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Conversely, think about the additive manufacturing processes that are starting to dominate every industry. You’re not going to put the secret back in the closet; even individuals can now buy varying sizes of 3D printers to utilize at home for small and medium-sized projects. What does your organization have to offer that they can’t do themselves in the near future?  

There has never been more opportunity to not just change, but to truly transform manufacturing and the entire industrial supply chain. Having a protect-and-defend or a wait-and-see attitude will get you into trouble fast! The time to act on the Hard Trends that are shaping the future is now!

If you want to see the future before it happens, download Daniel Burrus’ Top Technology Hard Trends Shaping 2022 Report.


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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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