Adani Ports Quitely Deploying India’s First Fully Automated Container Cranes at Its Indian Ports

Adani Ports & Special Economic Zone (APSEZ) has begun deploying fully automated container cranes at Vizhinjam port, Kerala, operated remotely from climate‑controlled cabins, marking a major leap in India’s port automation and sustainability drive.

ABB is the technology partner behind Adani Ports’ automation at Vizhinjam, providing the control systems and automation solutions for quay and yard cranes, enabling India’s first fully automated container terminal. Their systems allow cranes to be operated remotely from climate‑controlled cabins, doubling productivity and enhancing safety.

The announcement about Adani Ports unveiling India’s first fully automated container cranes at Vizhinjam dates back roughly eight months. Even though the news is eight months old, it remains strategically relevant because Vizhinjam becoming India’s first fully automated container terminal is a milestone in South Asia.

ABB supplied the automation technology that allows cranes to be operated remotely from a centralized control room. Operators now work in climate‑controlled cabins using joysticks and screens, eliminating the need to sit in crane cabins 30–50 meters above ground.

Besides, APSEZ has expanded its partnership with Kaleris, a US-based supply chain execution software company best known for its Navis Terminal Operating System (TOS). Through this partnership APSEZ will deploy an AI-augmented, plug-and-play operating platform across a global network of 15 container terminals spanning 9 ports. The port is central to India’s transshipment strategy, reducing reliance on Colombo and Singapore.

Key Highlights of Vizhinjam Port Automation

• Automated cranes: Quay cranes and yard gantry cranes are now remotely operated from air‑conditioned control rooms, eliminating the need for operators to sit in cabins 30–50 meters above ground.
• Climate‑controlled cabins: Operators use joysticks and multiple screens in shared cabins, ensuring comfort, safety, and consistent productivity.
• Community integration: Women from fishing and coastal communities have been trained to operate these advanced cranes, creating new employment opportunities.
• ABB automation systems: ABB provided the technology for quay and yard crane automation, enabling India’s first fully automated container terminal.
• Digital twin monitoring: IoT‑enabled systems collect real‑time operational data, displayed on large 3D video walls for proactive exception handling.

Benefits of Automation

Feature	Impact
Remote crane operation	Eliminates operator fatigue, improves safety
Climate‑controlled cabins	Consistent productivity, collaborative environment
AI & IoT integration	Real‑time monitoring, faster decision‑making
Automated gantry cranes	No human operator required, 24/7 efficiency
Community training	Employment for local women, social inclusion

Strategic Importance

• India’s first deep‑sea trans-shipment hub: Vizhinjam is designed to handle Megamax containerships and reduce reliance on foreign hubs like Colombo and Singapore.
• Capacity growth: Phase 1 capacity is 1 million TEUs, with expansion planned to 7.2 million TEUs.
• Sustainability: APSEZ is embedding low‑carbon operations, afforestation, and renewable energy adoption into its port strategy.

Risks & Challenges

• High capital costs: Automation requires significant upfront investment in AI, IoT, and digital twin systems.
• Skill transition: Continuous training is needed to upskill local communities for advanced tech roles.
• Cybersecurity risks: Increased reliance on digital systems makes ports vulnerable to cyber threats.

Adani Ports and Special Economic Zone (APSEZ) has expanded its partnership with US-based Kaleris, committing up to $100 million to deploy AI-powered automation across 15 container terminals at nine ports, as part of a broader $850 million investment in technology and decarbonisation by 2031.

Key Details of Adani’s AI Port Automation

• Investment scale: Up to $100 million in two phases, part of a larger $850 million technology and decarbonisation plan.
• Partnership with Kaleris: Deployment of the N4 Terminal Operating System (TOS) and AI-augmented optimisation solutions.
• Coverage: Rollout across 15 container terminals spanning nine domestic and international ports.
• Efficiency gains: Up to 20% improvement in RTG crane productivity and 14% improvement in terminal truck productivity.
• Capacity expansion: Unlocking 91 million metric tonnes (MMT) of additional cargo handling capacity by 2030, supporting APSEZ’s goal of 1 billion tonnes per annum throughput.

Strategic Impact

Focus Area	Details
AI-enabled automation	Defines next frontier of competitiveness in ports and logistics
Unified digital backbone	Seamless integration across yard, gate, and vessel workflows
Decarbonisation	Part of $850M plan to modernise and reduce carbon footprint
Global footprint	Expansion includes hubs in India, Australia, Israel, Tanzania, and Colombo
Customer experience	Faster turnaround, improved planning accuracy, superior service

Why It Matters

• Global competitiveness: AI-driven automation positions APSEZ alongside leading global port operators.
• Sustainability: Integration of AI, IoT, and optimisation aligns with decarbonisation goals.
• Economic impact: Boosts India’s logistics efficiency, reducing costs and enhancing trade flows.
• Technology leadership: Demonstrates India’s capability to deploy AI at scale in critical infrastructure.

The ambitious AI automation plan comes with significant hurdles. High upfront costs of $100 million demand strong returns on investment, while increased reliance on digital systems exposes ports to cybersecurity vulnerabilities. Workforce adaptation is another challenge, as employees must transition to AI-driven operations. Finally, scaling automation across diverse ports introduces execution complexity, requiring robust integration and continuous monitoring.

Global Port Automation Leaders 

The world’s leaders in port automation today are concentrated in Asia and Europe, with China’s Qingdao and Shanghai, Singapore, and Rotterdam consistently ranked at the top for fully automated container handling, AI-driven scheduling, and sustainability integration.

Port	Region	Key Automation Features	Global Significance
Port of Qingdao, China	Asia	Fully automated end-to-end terminal, electric AGVs, AI scheduling	Ranked #1 globally; benchmark for large-scale automation
Port of Shanghai, China	Asia	Automated stacking cranes, digital twin systems	Handles world’s largest container throughput
Port of Singapore	Asia	Autonomous vehicles, AI-driven berth allocation, paperless customs	Global hub for smart logistics and sustainability
Port of Rotterdam	Europe	Automated cranes, IoT integration, hydrogen-powered equipment	Europe’s most advanced smart port
Port of Los Angeles, USA	North America	Semi-automated terminals, AI analytics	Leading US port despite labour constraints
Tanger Med, Morocco	Africa	Automated stacking, smart cargo handling	Africa’s largest and most advanced port
Port of Melbourne, Australia	Oceania	Automated yard cranes, smart energy systems	Regional leader in automation and sustainability

What Sets Them Apart

• China’s dominance: Ports like Qingdao and Shanghai lead due to full-scale automation, electrified equipment, and AI-driven scheduling.
• Singapore’s innovation: Known for autonomous vehicles, predictive analytics, and carbon-neutral goals.
• Rotterdam’s sustainability: Europe’s leader in hydrogen-powered equipment and IoT integration.
• North America’s lag: Despite advanced tech, governance and labour constraints slow full automation adoption.

Challenges

Global leaders face high capital costs, cybersecurity vulnerabilities, and workforce adaptation challenges. North American ports, in particular, struggle with labour union resistance, while Asian hubs must balance rapid scaling with sustainability goals.

Wipro Partners with Kongsberg Digital to Deliver AI‑Powered Digital Twin Solutions for Energy & Utilities

Wipro Limited (NYSE: WIT, BSE: 507685, NSE: WIPRO), a leading AI-powered technology services and consulting company, today announced a strategic partnership with Kongsberg Digital, a global leader in advanced engineering and industrial digitalization, to jointly deploy next‑generation AI‑powered Digital Twin solutions for the Energy & Utilities Sector.

The collaboration brings together Wipro’s consulting-led approach and its AI-powered Wipro Intelligence™ solutions – Industrial-AssetsAI and UpstreamAI – with Kongsberg Digital’s Industrial Work Summit rface solution. Together, Wipro and Kongsberg Digital will enable more reliable, efficient, and safer operations across complex asset networks.

“At the core of this collaboration is a shared vision to rethink how industrial intelligence is designed and applied,” said Srikumar Rao, Managing Partner and Global Head of Engineering, Wipro Limited. “By combining our deep domain expertise in Energy & Utilities and the relevant Wipro Intelligence™ solutions with Kongsberg Digital’s digital twin platform, we are bringing AI, engineering, and operational insight together. This will enable enterprises to embed autonomy into their operations, allowing them to anticipate change, navigate complexity, and build resilience at scale.”

Together, Wipro and Kongsberg Digital will provide organizations with a unified environment that brings together physics‑based engineering models, real‑time operations, and enterprise AI. Once deployed, the joint offering will function as a digital twin that reflects real‑time conditions across plants, grids, and distributed assets. By combining simulation, data, AI, and automation in one integrated framework, Wipro and Kongsberg Digital can help organizations simplify digital transformation and strengthen operational resilience.

“Combining Kongsberg Digital’s Industrial Work Surface—which currently operates at some of the energy industry’s most complex assets—with Wipro’s AI-powered platforms and solutions, this partnership will extend our proven digital twin capability at scale, helping customers move from insight to operational impact faster,” said Shane McArdle, CEO of Kongsberg Digital.

As part of the agreement, Wipro and Kongsberg Digital will advance a joint roadmap to scale AI‑powered digital twin capabilities across Energy & Utilities environments, helping asset‑intensive organizations accelerate innovation, strengthen operational resilience, and deliver sustained improvements in performance, safety, and sustainability.

About Wipro Limited

Wipro Limited (NYSE: WIT, BSE: 507685, NSE: WIPRO) is a leading AI-powered technology services and consulting company focused on building innovative solutions that address clients’ most complex digital transformation needs. Leveraging our consulting-led approach and the Wipro Intelligence™ unified suite of AI-powered platforms, solutions and transformative offerings, we help clients realize their boldest ambitions to build intelligent and sustainable businesses. The Wipro Innovation Network–part of the Wipro Intelligence™ suite–underpins our commitment to client-centric co-innovation and co-creation by bringing together capabilities from the innovation labs and partner labs, academia, and global tech communities. With over 240,000 employees and business partners across 65 countries, we deliver on the promise of helping our customers, colleagues, and communities thrive in an ever-changing world. For additional information, visit us at www.wipro.com.

From Lungs to Hearts: How Digital Twins Are Revolutionizing Indian Healthcare

Digital twin technology—virtual replicas of organs or entire patient systems—is rapidly emerging as a game‑changer in India’s healthcare ecosystem. By integrating AI, imaging, and real‑time patient data, digital twins enable predictive diagnostics, personalized treatment, and advanced surgical planning.

What is a Digital Twin in Healthcare?

• A digital twin is a virtual model of a patient’s body or organ, created using CT scans, vitals, lab reports, and wearable data.
• Doctors can simulate disease progression, predict treatment responses, and plan interventions with greater accuracy.
• It combines AI, IoT, big data, and imaging workflows for real‑time monitoring and diagnostics.

Key Digital Twin Breakthroughs in India

Respiratory Diagnostics – LTTS AI Lung Digital Twin

• Launch: March 2026, San Jose (by L&T Technology Services).
• Powered by: NVIDIA AI infrastructure.
• Applications: Lung cancer, COPD, infectious diseases.
• Features: Immersive 3D visualization, CT imaging workflows, AI‑driven surgical navigation.
• Significance: First India‑origin MedTech platform with global deployment.

Cardiac Care – Apollo Hospitals

• Use Case: Digital twin simulations of the human heart.
• Purpose: Optimize surgical planning, stent placement, and arrhythmia monitoring.
• Impact: Enables safer, more precise interventions in cardiovascular care.

Oncology – Predible Health & Telerad Tech

• Focus: Tumor modeling and radiotherapy planning.
• Technology: AI‑driven imaging combined with digital twin simulations.
• Benefit: Personalized cancer treatment pathways and reduced radiation risks.

Orthopedics & Prosthetics – IISc Bengaluru

• Research Area: Biomechanical digital twins for orthopedic implants and rehabilitation.
• Goal: Simulate patient‑specific bone and joint mechanics.
• Outcome: Improves implant design and recovery planning.

Personalized Medicine – Datta Meghe Institute (Wardha)

• Project: AI‑driven digital twins for predictive medicine.
• Approach: Integrates patient vitals, imaging, and lifestyle data.
• Potential: Tailored therapies and preventive care models.

Why These Are Breakthroughs

Domain	Breakthrough Example	Impact
Respiratory Care	LTTS AI Lung Digital Twin	Global MedTech leadership, advanced diagnostics
Cardiology	Apollo Hospitals	Precision surgical planning
Oncology	Predible Health, Telerad Tech	Personalized radiotherapy
Orthopedics	IISc Bengaluru	Patient‑specific implant design
Personalized Care	Datta Meghe Institute	Predictive medicine pathways

Challenges Ahead

• Clinical Validation: Large‑scale trials needed for accuracy.
• Data Privacy: Compliance with HIPAA/GDPR critical.
• Infrastructure Gaps: Many hospitals lack AI‑ready imaging systems.
• Regulatory Approvals: FDA/CE certifications required for global adoption.

India’s digital twin breakthroughs are shaping a new era of precision healthcare, with respiratory, cardiac, oncology, and orthopedic applications already underway. These innovations position India as a rising MedTech hub, but scaling will depend on policy support, infrastructure investment, and clinician training.

Benefits for Diagnostics

• Personalization: Tailored treatment pathways for individual patients.
• Predictive Analytics: Early detection of disease progression.
• Simulation: Virtual testing of surgical or therapeutic interventions.
• Efficiency: Reduces trial‑and‑error in treatment planning.

Challenges in India

• Data Privacy: Sensitive patient data must comply with HIPAA/GDPR standards.
• Infrastructure Gaps: Many hospitals lack advanced imaging and AI integration.
• Cost Barriers: High investment in AI infrastructure and clinician training.
• Regulatory Pathways: Need for clear clinical validation and approvals.

India vs. Global Adoption

Aspect	India (Emerging)	Global (Advanced)
Infrastructure	Developing AI & imaging	Mature AI ecosystems
Clinical Trials	Limited, early stage	Extensive, multi‑center
Cost Accessibility	High barrier for hospitals	Wider adoption in developed nations
Focus Areas	Respiratory, oncology, preventive care	Cardiology, neurology, full‑body twins
Policy Support	National Digital Health Mission	Stronger regulatory frameworks

Outlook

India’s healthcare sector is embracing digital twin technology as part of its broader digital health transformation. With LTTS’s AI Lung Digital Twin, Apollo’s cardiac initiatives, IISc’s biomechanical research, and startup‑driven oncology solutions, the country is positioning itself as a future hub for AI‑driven diagnostics.

Scaling adoption will require investment in infrastructure, clinician training, and regulatory clarity, but the potential to revolutionize personalized medicine and predictive healthcare is undeniable.

57% of Indian Enterprises Allocate Less Than 30% of Technology Spending to Digital Spend – Dassault Systèmes–NASSCOM Report

• Virtual Twin Technology Impact Report from Dassault Systèmes and nasscom Highlights 2x Growth in Virtual Twin Adoption in India
• 90% of the enterprises surveyed are aware of digital and virtual twins
• 45% of virtual twin deployments take nearly 12-24 months at each level, indicating the time-intensive technology discovery-to-production cycle with each new virtual twin implementation
• 33% of the virtual twin initiatives in life sciences are driven by top leadership (CXOs), compared to just 22% on average
• 3X more life sciences companies indicate dependence on downstream companies’ virtual twin adoption for their own virtual twin impact

Dassault Systèmes (Euronext Paris: FR0014003TT8, DSY.PA) and nasscom today released a report on the adoption and impact of virtual twin technology. The report reveals a twofold increase in virtual twin implementations post-pandemic. Virtual twin adoption in India could play a crucial role in accelerating the design-to-realization process, helping organizations achieve their sustainability and circularity goals across the value chain.

Here are the key findings for India:

Digital and Process Maturity

• 57% of Indian enterprises allocate less than 30% of technology spending to digital spend
• Over 50% of the enterprises also indicate patchy digitalization, with only the key functions digitalized, but in silos, thereby limiting effective ROI realization
• Less than 1-in-5 companies have put in place advanced process automation; the majority have implemented Retrofitted Process Automation (RPA)

Virtual Twin Budgets and Scale

• 25% of the companies do not have formal budgets for virtual twins
• 80% of the companies have less than 7% of tech spend allocated to virtual twin adoption
• 63% of Indian companies deploy virtual twins at the product or process level. 40% of those companies are at the product level in using virtual twins, 23% at the process level. Precision in product-market fit came as one of the top three objectives for implementing virtual twins.

Deployment Time

• 75% of virtual twin implementations in India take between 12-24 months of deployment time at each level of product, process, or system virtual twin

Primary Business Objectives

• Precision in product market fit
• Manufacturing process efficiencies
• Remote maintenance and worker safety

Supplier Strategy

• 75% of Indian enterprises cite supplier selection as a major challenge
• 50% are evaluating suppliers

Tech Readiness

• 70% of Indian firms indicate that across software, IT-OT hardware, and connectivity tech, they are still in the PoC/pilot stages
• Analytics and AI/ML applications are some of the least productionized, after high-definition 3D software and other specialist applications. 
• 67% of enterprises seek either best-of-breed software packages or partner with large managed service providers for their virtual twin applications. 

This report is based on a survey of 130 companies in India as well as across Europe and APAC, focusing on large and mid-sized enterprises with annual recurring revenue (ARR) of $500 million and above. The survey spans four major industry segments: continuous manufacturing, discrete manufacturing, public infrastructure and smart cities, and life sciences and healthcare.

“Virtual twin technology is poised at the brink of transformative potential, marked by a sharp increase in awareness and early adoptions since the pandemic. Although full-scale implementations and dedicated budgets remain limited, the focus on optimizing assets and processes opens up expansive opportunities. Overcoming hurdles in software procurement, enhancing top-level commitment and ecosystem synergies can unlock groundbreaking innovations, driving industries toward a more efficient and digitally integrated future,” said Sangeeta Gupta, Senior Vice President & Chief Strategy Officer at Nasscom.

“With our latest report on virtual twin technology impact and adoption in collaboration with nasscom, we are encouraged by the significant growth in adoption and the emergence of industry-specific use cases. Our report underscores the imperative for organizations to secure top leadership commitment and navigate software procurement challenges to achieve production-grade capabilities. We remain committed to empowering businesses in their journey towards enhanced performance and operational efficiency through virtual twin technology, driving sustainable growth and innovation across industries,” said Deepak NG, Managing Director, India, Dassault Systèmes.

For more information:

Dassault Systèmes’ 3DEXPERIENCE platform, 3D design software, 3D Digital Mock Up and Product Lifecycle Management (PLM) solutions: http://www.3ds.com

Link to the report: https://tinyurl.com/VirtualTwins

Digital Twin Market Expected to Generate Revenue of $284 Billon by the End of 2035, by Growing at CAGR of 44.2% Over 2023-35

Digital Twin Market to Receive Overwhelming Hike In Revenues By 2035

Research Nester has released a report titled “Digital Twin Market: Global Demand Analysis & Opportunity Outlook 2035” which also includes some of the prominent market analyzing parameters such as industry growth drivers, restraints, supply and demand risk, along with the impact of COVID-19 and a detailed discussion on the latest trends and future opportunities that are associated with the growth of the market.

The global digital twin market is expected to generate a revenue of USD 2,84,519.3 Million by the end of 2035, by growing at a CAGR of 44.2% over the forecast period, i.e., 2023-2035. The growth can primarily be attributed to the increase in adoption of digital twin in manufacturing industry. By 2022, at least one digital twin will be in use at more than two-thirds of the IoT-enabled businesses.

The global digital twin market is segmented by technology into augmented reality & virtual reality, IoT & IIoT, artificial intelligence & machine learning, big data analytics, and others. Out of which, the augmented reality & virtual reality segment is expected to generate the most revenue of USD 62,512.3 million by the end of 2031. Furthermore, the segment generated USD 1,437.1 Million in revenue in 2021.

The global digital twin market is geographically segmented into five key regions including North America, Europe, Asia Pacific, Latin America, and the Middle East & Africa. The market in Asia Pacific is anticipated to generate the highest revenue among these regions, at USD 88,485.5 Million. Additionally, in 2021, the market in Asia Pacific generated a revenue of USD 1768.6 Million.

The research is global in nature and covers detailed analysis on the market in North America (U.S., Canada), Europe (U.K., Germany, France, Italy, Spain, Hungary, Belgium, Netherlands & Luxembourg, NORDIC [Finland, Sweden, Norway, Denmark], Poland, Turkey, Russia, Rest of Europe), Latin America (Brazil, Mexico, Argentina, Rest of Latin America), Asia-Pacific (China, India, Japan, South Korea, Indonesia, Singapore, Malaysia, Australia, New Zealand, Rest of Asia-Pacific), Middle East and Africa (Israel, GCC [Saudi Arabia, UAE, Bahrain, Kuwait, Qatar, Oman], North Africa, South Africa, Rest of Middle East and Africa).

In addition, analysis comprising market size, Y-O-Y growth & opportunity analysis, market players’ competitive study, investment opportunities, demand for future outlook etc. has also been covered and displayed in the research report.

Moreover, concerns about cyber security, high costs, and the need for significant investment are expected to be major restraints on the growth of the global digital twin market over the forecast period.

This report also provides the existing competitive scenario of some of the key players of the global digital twin market, which includes company profiling of Accenture plc, IBM Corporation, Atos SE, General Electric, Microsoft Corporation, DXC Technology Company, Infosys Limited, SAP SE, SAS Institute Inc., Gemini Digital Technologies, Tata Consultancy Services Limited, ANSYS Inc., Toshiba Digital Solutions Corporation, Matterport, Inc., Oracle Corporation, Honeywell International Inc., and Dassault Systemes S.A.

The profiling enfolds key information of the companies which comprises of business overview, products and services, key financials and recent news and developments. Conclusively, the report titled “Global Digital Twin Market: Global Demand Analysis & Opportunity Outlook 2035”, analyses the overall global digital twin market to help new entrants to understand the details of the market. In addition to that, this report also guides existing players looking for expansion and major investors looking for investment in the global digital twin market in the near future.

Source: https://www.researchnester.com/reports/digital-twin-market/4226

Gamification of Education: Digital Twin Technology Is Set to Turn Over New Leaf in Learning

The article is authored by Dr. Nachiket Bhatia, CEO, Dr. Bhatia Medical Coaching Institute & E-Gurukul

Gamification of Education

Elements of games added to conventional learning to make it more engaging is the gamification of education. These elements could be point systems, challenges, social connections, player control, goals, rewards, feedback, etc. They are applied while teaching to increase student engagement.

Gamification of education allows for “fun while you learn”. The way players interact in virtual gaming is one of the key motivations for the education industry to implement gamification in education. Games trigger emotions and engage us better. Such learning relieves the pressure on learners and simultaneously encourages them to participate.

Games are also effective because they are competitive and competition gives rise to mental toughness, better collaboration, and enhanced social and emotional learning. Efficiency is gained through such learning because the learner is in charge of their own learning journey.

Digital twin technology

A digital twin is a ‘virtual clone’ of any real-world object. It makes real-time judgments using real-time data, simulations, algorithms, and machine learning. Students can walk through the universe from the ease of their schools or homes. The use of this technology can help in better understanding of Model building, surgical training, and other practical instructions. Whereas real-world simulations can replace chemical labs and hands-on dissection labs.

The use of digital twin technology in education will allow students to participate, compete and learn in a simulation environment. Also, combining and visualising data using digital twin technologies will improve decision-making, give rise to immersive learning experiences and enable effective planning as well as action. Its use will also allow us to correct any shortcomings of a decision before making it a reality.

How will gamification of education using digital twin technology benefit learners?

Having disrupted learning all over the world, the pandemic has led us to not only rethink how education could be improved in isolation but also how we can foster immersive learning experiences. Virtual reality has answers to it.

Self-learning apps are already using gamification to engage the learners. But, a nascent idea of gamifying digital twins is gaining momentum. Digital twin technology is one of the growing technologies related to industry 4.0. It paves way for experiential learning by combining game elements, data and technology and is especially relevant to higher engineering, manufacturing and medical education.

Today, the use of simulations is common in education. But now, more and more simulations are being upgraded from static scenarios to real-world scenarios. Simulators alone aren’t as effective as they are with the use of gamification techniques because gamification engages the learners for a longer time and motivates them to get more involved. Therefore, gamification approaches such as the liberty to make mistakes, practice, repeat and collect awards are also getting integrated into simulations.

Universities like Stanford and Copenhagen school have already adopted this technology in higher education. Researchers suggest virtual game-based learning encourages immersive learning, cognitive development, creativity and better decision making. Even NASA used digital twin technology to explore the unexplored in space. Similarly, a platform named digital twin studios designs safety training video games using digital twin technology for the workers in the Oil and Gas industry.

The use of digital twin technology has recently also aroused the interest of healthcare practitioners as a possible solution to overcome healthcare limitations and expand the possible treatment options. Researchers at the University of Miami Miller School of Medicine, for example, are working on a project to create a "digital twin" of an individual using data collected from in-home and on-body sensors. Its development will enable future health care practitioners to employ artificial intelligence for evaluating various treatments and their potential outcomes on a patient's digital twin before executing them in the physical world.

The digital twin reform in healthcare is still underway but soon, it is likely to revolutionize the ways of treating and diagnosing the patients. It has high potential in higher education as well. Medical students will be able to use digital twins of animal and human dead bodies to perform dissections and analyses. Concepts of virtual organs, genomes, anatomy and medical procedures can also be well understood with its use.

According to research, games can help to develop complex cognitive skills and metacognitive skills for deep learning. Simulators assist students to relate theoretical topics to real-world events and improve analytical abilities by allowing them to compare different points of view, build arguments, reflect, and evaluate circumstances. Their combined use in education can become a powerful learning tool.

Conclusion

Gamification of digital twins for an enhanced learning experience will allow the learners to take lead in experiential learning. However, this concept has a lot of scope that is yet to be explored. It is a viable option because it is sustainable and effective. Large-scale application is important to turning digital twins' potential into genuine impact. It aims to reform the understanding of complex systems and subjects that need practical learning. Technology is all into our lives. We have adopted technology to make our lives easy. There are challenges to this but with its help, the students will be better prepared for real-life situations in near future.

What Is Digital Twin Technology- And Why It Matters Most Now

Sometimes all one needs is a second chance at success. The same thing happened with the digital twin technology. Though the technology came into our lives about 15 years ago in the year 2002, it's only recently that it has started gaining traction. This sudden burst of interest in the technology is courtesy another technology, Internet of Things. It is the IoT that has provided digital twin technology a new lease of life by making it cost-effective to implement.

The technology has now become such an imperative part of the business world that it had found a place in the top 10 Strategic Technology Trends for the year 2017 which were announced by Gartner’s Vice President and a Gartner fellow himself David Cearley at the Gartner Symposium/ITxpo held in Orlando, Florida last year.

What Is A Digital Twin?

Simply put, a digital twin can be best described as a virtual model of a product, service or a process. This innovative paring of the physical and virtual worlds together opens doors for monitoring of systems and analysis of data that help in warding off glitches/problems even before they occur. This further results in preventing downtime, development of new opportunities and even plan for the future ahead by making use of simulations.

The technology has become imperative to the business industry as it is an efficient way of working that involves a cloud-based virtual image of an asset maintained throughout its lifecycle and easily accessible at any time of the day. It also allows all experts to come together under one platform and work cost-effectively, reduce errors and improve efficiency. All this ultimately results in a more safe, profitable and sustainable operation environment.

How Does A Digital Twin Work?

From the definition above, we can come to the conclusion that a digital twin is a bridge between the digital and physical world, the two worlds known to the humankind.

The first step involves smart components that make use of sensors to gather data about real-time status, working condition, or position being integrated with a physical item. The components are then connected to a cloud-based system that has the responsibility of receiving and processing all the data that the sensors monitor. This input is then analysed against business and other contextual data.

The virtual environment can prove to be a great space to test existing learnings and uncover new ones, which can then be applied to the physical world and ultimately lead to transforming businesses.

NASA-The Pioneer of Digital Twin

It was NASA which first tried it hands at pairing technology, which is the precursor to today’s digital twin. This was during the early days of space exploration.

During those days, NASA’s research department faced a huge challenge in how they would operate, maintain, or repair systems when they will not be in physical proximity to them. This is when the digital twin technology came to their rescue. In fact, during the unfortunate Apollo 13 in incident, it was the innovation of mirrored systems still on earth that gave engineers and astronauts a chance to determine how they could bail the mission out of the problem.

NASA is now using the digital twins technology to develop new recommendations, roadmaps, and next-generation aircraft and vehicles.

According to a statement given by John Vickers, NASA’s leading manufacturing expert and manager of NASA’s National Center for Advanced Manufacturing, the ultimate vision that they have for the digital twin is to create, test and build our equipment in a virtual environment. “Only when we get it to where it performs to our requirements do we physically manufacture it. We then want that physical build to tie back to its digital twin through sensors so that the digital twin contains all the information that we could have by inspecting the physical build," he said.

Why is Digital Twin Important?

Today, machine intelligence and connectivity to the cloud presents mankind with an unprecedented potential for large-scale implementation of digital twin technology across a number of companies in a variety of industries.

The Digital twins are being helmed as a powerful masterminds that will drive innovation and performance in the world. According to IDC, by the year 2018, companies investing in the digital twin technology will witness almost 30 per cent improvement in cycle times of their critical processes.

In the next 5 years, mankind will see billions of things being represented by digital twins. The technology will give birth to a sea of new collaboration opportunities among the physical world data scientists and product experts whose duty is to make out what data is telling us about operations.

The digital twin technology helps the companies in understanding customer needs, developing enhancements to their existing products, operations and, services, and thus significantly improve customer experience. It can even extend a helping hand in driving the innovation of new business.

So, one can conclude that we are currently on the brink of a digital twin technology explosion and the companies who don't catch on the trend soon, will be left behind.

[Top Image: imeche.org]

What Is Digital Twin Technology and Why It Matters Most Now

Sometimes all one needs is a second chance at success. The same thing happened with the digital twin technology. Though the technology came into our lives about 15 years ago in the year 2002, it's only recently that it has started gaining traction. This sudden burst of interest in the technology is courtesy another technology, Internet of Things. It is the IoT that has provided digital twin technology a new lease of life by making it cost-effective to implement.

The technology has now become such an imperative part of the business world that it had found a place in the top 10 Strategic Technology Trends for the year 2017 which were announced by Gartner’s Vice President and a Gartner fellow himself David Cearley at the Gartner Symposium/ITxpo held in Orlando, Florida last year.

What Is A Digital Twin?

Simply put, a digital twin can be best described as a virtual model of a product, service or a process. This innovative paring of the physical and virtual worlds together opens doors for monitoring of systems and analysis of data that help in warding off glitches/problems even before they occur. This further results in preventing downtime, development of new opportunities and even plan for the future ahead by making use of simulations.

The technology has become imperative to the business industry as it is an efficient way of working that involves a cloud-based virtual image of an asset maintained throughout its lifecycle and easily accessible at any time of the day. It also allows all experts to come together under one platform and work cost-effectively, reduce errors and improve efficiency. All this ultimately results in a more safe, profitable and sustainable operation environment.

How Does A Digital Twin Work?

From the definition above, we can come to the conclusion that a digital twin is a bridge between the digital and physical world, the two worlds known to the humankind.

The first step involves smart components that make use of sensors to gather data about real-time status, working condition, or position being integrated with a physical item. The components are then connected to a cloud-based system that has the responsibility of receiving and processing all the data that the sensors monitor. This input is then analysed against business and other contextual data.

The virtual environment can prove to be a great space to test existing learnings and uncover new ones, which can then be applied to the physical world and ultimately lead to transforming businesses.

NASA-The Pioneer of Digital Twin

It was NASA which first tried it hands at pairing technology, which is the precursor to today’s digital twin. This was during the early days of space exploration.

During those days, NASA’s research department faced a huge challenge in how they would operate, maintain, or repair systems when they will not be in physical proximity to them. This is when the digital twin technology came to their rescue. In fact, during the unfortunate Apollo 13 in incident, it was the innovation of mirrored systems still on earth that gave engineers and astronauts a chance to determine how they could bail the mission out of the problem.

NASA is now using the digital twins technology to develop new recommendations, roadmaps, and next-generation aircraft and vehicles.

According to a statement given by John Vickers, NASA’s leading manufacturing expert and manager of NASA’s National Center for Advanced Manufacturing, the ultimate vision that they have for the digital twin is to create, test and build our equipment in a virtual environment. “Only when we get it to where it performs to our requirements do we physically manufacture it. We then want that physical build to tie back to its digital twin through sensors so that the digital twin contains all the information that we could have by inspecting the physical build," he said.

Why is Digital Twin Important?

Today, machine intelligence and connectivity to the cloud presents mankind with an unprecedented potential for large-scale implementation of digital twin technology across a number of companies in a variety of industries.

The Digital twins are being helmed as a powerful masterminds that will drive innovation and performance in the world. According to IDC, by the year 2018, companies investing in the digital twin technology will witness almost 30 per cent improvement in cycle times of their critical processes.

In the next 5 years, mankind will see billions of things being represented by digital twins. The technology will give birth to a sea of new collaboration opportunities among the physical world data scientists and product experts whose duty is to make out what data is telling us about operations.

The digital twin technology helps the companies in understanding customer needs, developing enhancements to their existing products, operations and, services, and thus significantly improve customer experience. It can even extend a helping hand in driving the innovation of new business.

So, one can conclude that we are currently on the brink of a digital twin technology explosion and the companies who don't catch on the trend soon, will be left behind.

[Top Image: imeche.org]