For two years in a row, Gartner has pinpointed the digital twin as one of the ‘top strategic trends in technology’. It also says, that only 13 percent of IoT organizations have adopted digital twin technology and 62% are planning or in the process to do so. Gartner also reported that 2 out of 3 organisations would deploy at least one digital twin to optimize some aspects of their business process.
What is Digital Twin?
Digital twin is a replica of a virtual platform, a bridge between physical assets to digital models by using sensors to gather real-time data from vehicles, aircraft engines, buildings, etc. The gathered data can then be tested, analysed, and optimized without its physical presence in the real world avoiding adverse impacts.
Digital twin technology is one of the most intriguing technologies that has created new opportunities for disruption in the technology space. It has already been adopted in automotive, energy, and aerospace. Digital twin is helping them in designing their assets, visualize them, monitor, and maintain their performance. Which in turn provides a new horizon for upgrading their technology with the help of insights from the data.
Digital Twin for Logistics
Applying digital twin in logistics will help you bring deeper insights into the planning, designing, operations, and optimization of the supply chain network individually or globally. Let us see in what ways digital twin is revolutionizing logistics sector.
Performance Testing of Packaging Material
The growth of e-commerce market gave a significant rise to packaging industry. The demand goes up for seasonal packaging and single packaging of goods and its biggest culprit is the food industry. As it produces significant amount of waste damaging the environment and reduces the operational efficiency through poor utilization of materials.
Digital twin help you to conceptualize the material used in the packaging of different type of goods and it will help in predicting the performance of new material in packaging applications. It will monitor its behaviour under different scenarios like vibrations, shocks, loading and unloading the packages and different temperature. This material digital twin concept will help you in developing a stronger, lighter and environmental friendly material. This will also help in monitoring the damages to the packaging and highlight the flaws in the packaging that will help us in redeveloping the packaging of the goods.
A use case where IKEA has replaced its styrofoam packaging to biodegradable mushroom-based material, as it will be easier for decomposition than their pervious used material. As styrofoam takes decades to decompose, with the help of material digital twin, they can analyse the material types, its decomposition rate, and the cost of making the packaging which can be then implemented.
Digital Twin for Protecting Shipments
Lately, the suppliers and the end customers have reported a lot of damage to the goods. Damages caused during loading and unloading of shipments, due to different climatic conditions, re-using of containers, or using wrong material for packaging. As a result, businesses face huge losses, to overcome these losses these companies are implementing digital twin technology to improve their delivery process.
With the help of digital twin, companies can find out how various packaging methods impact the product or it can also predict even its first delivery goes out as in if the material used for packaging is appropriate for various climatic conditions, or it is going to sustain for multiple days. As a result, it will help suppliers to mitigate the damage to the products through its best-described packaging method.
Microsoft digital twin can add more value to the data collected by the sensors during the time of an actual delivery and this will result in identifying potential weakness from initial stage to the actual delivery of the package.
Digital Twin for Designing a Logistics Warehouse
Digital twin plays a significant role in designing, operating and utilizing a complete logistics infrastructure. With the help of data collected from IoT sensors in the warehouse, a 3D model can be created with digital twin technology including the inventory operational data with size quantity and characteristics of every item.
It can also support the design and layout of new facilities, allowing the companies optimize space, simulate the movements of the materials, workers, and equipment’s. It can predict the impact of the layout change before implementing the actual changes.
Creating Digital Twins of Shipping Containers
Containers travel around the world through different climatic conditions from ships to trucks to its actual delivery location. During this process, containers may face damages like cracks, dents etc. and ultimately it can also damage the goods. To avoid such situations, IoT sensors can be installed to collect the data and digital twin to create and predict the characteristics of the container.
Building this digital twin technology for containers creates new possibilities for operating their assets. The condition of the shipping container can be analysed with 3D photographic technology that allows us to detect the damage to containers. In addition, the historic data collected from the IoT sensors from the containers can be utilize to create a digital twin for making crucial decision like when the containers can be changed, repaired or turn to scrap.
So combining all the data from these containers a supplier or the owner can make a data-driven decision about his fleet of containers whether it is good to go or it is damaged.
Know more on Digital Twin technology
Advocates of simulated virtual reality believe that AI and digital twin technologies are the future of the digital landscape for businesses.
In this article, we will explore how AI development services complement digital twin and IoT technologies to build innovative, efficient, and revenue-generating outputs.
The combination of digital twin and machine learning development is emerging as a powerful duo to bring significant automation to the production and assembly processes.Learn more: AI and Digital Twin Technology
Multiple industries are adopting advanced and technological methods to scale up their supply chain processing.
Logistics is one of the evolving segments of the supply chains, which holds lots of potential for business opportunities.IoT is leveling up the infrastructure of the logistics industry.
Using smart methods and innovative concepts, the fleet managers are now involving advanced technology to earn profits as well as consumer satisfaction.
These are the 4 major IoT solutions to upgrade your logistics business and use the Internet of Things as an effective platform for service deliveries.
As the impact of IoT is great on the logistics sector and is widely adaptive among most of the businesses, it is one of the great economic escapes from the traditional ways of dealing with the supply chains.Visit: https://www.biz4intellia.com/blog/4-must-have-iot-solutions-for-your-logistics-business/
This Covid-19 Pandemic has changed the face of the education industry completely, schools, colleges, and big institutes have shut its door.
As a result, it gave a significant rise to E-learning / online learning where online classes are being conducted remotely and on various digital platforms.
The research has shown there is a huge rise in online learning there are multiple platforms where you can learn about any technology sitting at home.It also gave rise in Artificial intelligence, IoT and Cloud courses.
As technology is considerably new or continuously evolving, it gave rise to a lot of new courses and technologies too.
I have listed down few courses which I think you should consider if you want to learn in this free COVID-19 time and leverage it learning something new.Let us see the best technology online courses to complete in this COVID-19 pandemic crisisArtificial Intelligence online coursesBeginner’s Guide to AIView Course Details17,330 students enrolledThis course includes10.5 hours on-demand video12 articles72 downloadable resourcesFull lifetime accessAccess on mobile and TVCertificate of CompletionLearn How to Build an AIView Course Details122,643 students enrolledThis course includes16.5 hours on-demand video17 articles1 downloadable resourceFull lifetime accessAccess on mobile and TVCertificate of CompletionTensorflow 2.0: Deep Learning and AIView Course Details10,765 students enrolledThis course includes20.5 hours on-demand video2 articlesFull lifetime accessAccess on mobile and TVCertificate of CompletionPython DeveloperML, Data Science and Deep Learning with PythonView Course Details121,822 students enrolledThis course includes14 hours on-demand video6 articlesFull lifetime accessAccess on mobile and TVCertificate of CompletionComplete Python Developer course in 2020View Course Details45,311 students enrolledThis course includes30 hours on-demand video49 articles20 downloadable resourcesFull lifetime accessAccess on mobile and TVCertificate of CompletionMachine learning online coursesComplete Machine Learning and Data ScienceView Course Details17,063 students enrolledThis course includes42.5 hours on-demand video48 articles13 downloadable resourcesFull lifetime accessAccess on mobile and TVCertificate of CompletionUnsupervised ML Hidden Markov Models in PythonView Course Details18,623 students enrolledThis course includes9 hours on-demand videoFull lifetime accessAccess on mobile and TVCertificate of CompletionInternet of things [IoT] online coursesIoT Mega CourseView Course Details5,853 students enrolledThis course includes3.5 hours on-demand video8 articles35 downloadable resourcesFull lifetime accessAccess on mobile and TVCertificate of CompletionBuild IoT Things from Scratch to MarketView Course Details10,796 students enrolledThis course includes5 hours on-demand video3 articles36 downloadable resourcesFull lifetime accessAccess on mobile and TVCertificate of CompletionAWS Certified Solutions Architect – Associate [2020]View Course Details16,322 students enrolledThis course includes84 hours on-demand video6 downloadable resourcesFull lifetime accessAccess on mobile and TVCertificate of CompletionCloud Computing online coursesCloud Computing with Microsoft Azure BUNDLE 2020View Course Details2,472 students enrolledThis course includes4.5 hours on-demand video3 articlesFull lifetime accessAccess on mobile and TVCertificate of CompletionAWS Certified Cloud Practitioner (LEGACY)View Course Details25,040 students enrolledThis course includes6 hours on-demand video1 downloadable resourceFull lifetime accessAccess on mobile and TVAssignmentsCertificate of CompletionAmazon Web Services (AWS) Certified – 4 Certifications!View Course Details86,975 students enrolledThis course includes36.5 hours on-demand video6 articlesFull lifetime accessAccess on mobile and TVCertificate of CompletionThese are some list of courses I came across and would like to recommend you all.
Apart from these courses, there are other courses on Crypto Currencies & Blockchain, Project Management, Business Law, Graphic Designing, User Experience, etc.These are all the certificate courses to gain some insights if you are looking for online graduate of post-graduate courses offered as well we will be sharing the same with soon Artificial Intelligence online courses
Jobs available on Indeed for Engineer, IoT Engineer, Senior Software Engineer, Engineer.ai and many more.
Over the last couple of years, it has become increasingly clear that many democratic governments have been taking a closer look at artificial intelligence (AI), both from a policy standpoint and as something to help their economies of the future.
Democracies have many open issues and can move more slowly, and policy is discussed more widely by the population.
Two pieces of news this week have shown the increasing focus on Artificial intelligence in the United States and the European Union (EU).The Brookings Institution has increased its focus on AI, even publishing an interesting book I reviewed earlier this year.
On December 1, Brookings held a webinar on the future of tech antitrust in the Biden administration.
Two of the first companies to operationalize AI were Amazon and Google, both targets for potential antitrust action.
To understand how that could impact the industry, many people are talking about the failed actions against Microsoft a few decades ago.
