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Cover Story: Shaping Automation Trends in 2024

~ Vidushi Saxena

automation trends

In the forthcoming year, there will be a profound transformation in the automation landscape, with several key trends shaping the future of industries and workplaces. One of the most evident trends is the implementation of artificial intelligence and machine learning into automated processes, allowing systems to adapt and learn from real-time data, increasing their versatility and efficiency. Collaborative robots, or cobots, are also gaining popularity, operating with human workers in the manufacturing and service sectors. Furthermore, the rise of edge computing is decentralizing automation, allowing for faster decision-making and lower latency, making it perfect for applications like self-driving cars, smart cities, and IoT devices. With a growing emphasis on sustainability, automation increasingly focuses on environmentally beneficial practices such as energy-efficient procedures and waste minimization, heralding a greener future. As we approach 2024, these trends promise to transform industries, boost productivity, and reshape our work and lives. To shed light upon the same, we present a cover story featuring industry insights from Graham Curren, CEO of Sondrel; Ashish Gaikwad, MD, Honeywell Automation India Limited; Sougandh KM, Country Manager of India, Universal Robots; Robinson Philipose, Co-founder and CEO ARAPL RaaS; Bharanidharan S, Chief Manager, Software, Addverb.

AI/ML’s Transformative Impact on Automation Technologies

According to Graham Curren, CEO of Sondrel, AI, and ML bring intelligence to automation, which requires two things – gathering raw data to provide awareness and computing power to process this into actions. Both of these require increasingly advanced electronic chips to process as much as possible locally rather than sending over to the cloud, as this reduces latency and power usage. This approach is called EDGE AI.

“Advancements in Artificial intelligence (AI), machine learning (ML), and computer vision (CV) are revolutionizing automation by enabling machines to perform increasingly complex tasks autonomously and with greater precision. These technologies empower automation systems to make real-time decisions, adapt to changing circumstances, and continuously improve their performance, reshaping the automation landscape across industries by advancing and redefining industries”, said Ashish Gaikwad, MD, Honeywell Automation India Limited. “Honeywell combines automation and AI to make manufacturing plants safer and improve employee experience by automating the required repetitive tasks. Advanced Process Control (APC) is a real-time production optimization technology that uses multi-variable, model-based predictive control algorithms to simultaneously control and optimize complex processes in industry. Combining AI/ML with APC helps in the design phase to improve model identification to identify models from operating data in real-time during the implementation phase and dynamically identify and manage changes in the process state.”

As articulated by Sougandh KM, Country Manager of India, Universal Robots, Advancements in Artificial Intelligence, and Machine Learning have revolutionized automation technologies worldwide, focusing on robotics. AI, machine learning, and deep learning empower robots with human-like capabilities such as speech recognition, natural language understanding, and decision-making. AI enables robots to identify and interact with their environment, make informed decisions, and execute complex tasks.

Machine learning allows robots to learn from data, continuously improving their performance through algorithms, resulting in higher adaptability through robots to excel in various environments and tasks. AI and ML collectively empower robots to perform menial tasks to complex maneuvers in multifaceted environments. The application of AI, ML, and DL in robotics is poised to transform the field, paving the way for more intelligent, autonomous, and effective robots across industries like manufacturing, healthcare, and logistics, reshaping the future of automation. AI and ML are often used to make machines smarter and perform repetitive tasks more effectively and efficiently. These intelligent technologies provide them with the intelligence to analyze their environment, making it safe for humans to work in them.

Robinson Philipose, Co-founder and CEO of ARAPL RaaS says, “Advancements in AI and Machine Learning have had a profound impact on the development of automation technologies across diverse sectors, with notable applications and use cases reshaping industries. AI has ushered in advanced robotic surgical systems in healthcare, enabling even less-experienced doctors to perform precise surgeries, effectively deskilling expert jobs. Education benefits from AI-driven tools, facilitating personalized and adaptive learning experiences and making customized curricula accessible to new teachers. AI streamlines and automates processes in design, fostering efficiency and creativity in architecture, graphic design, and industrial design. E-commerce thrives on AI personalization, with recommendation systems tailoring product suggestions while manufacturing leverages AI for improved productivity and quality control. Finance relies on AI for fraud detection, risk assessment, and robo-advisors, and transportation sees AI-driven self-driving cars and traffic management systems optimizing efficiency.”

Unveiling profound insights, Bharanidharan S, Chief Manager, Software, Addverb, has to say that the continuous advancements in AI and Machine Learning have significantly boosted the development of automation technologies. Cutting-edge technologies like AI and ML have revolutionized how we approach various industries, particularly intralogistics and supply chain management. Addverb has created intelligent automation solutions that optimize processes and enhance operational efficiency through integrating AI and ML in their automation processes.

He shares that Addverb uses AI and ML technologies in their various robots to navigate complex environments, adapt to changing conditions, and make real-time decisions. The integration of AI also helps in predictive analytics i.e., by analyzing data from sensors and IoT devices, we can forecast potential issues before they occur, preventing costly disruptions and ensuring continuous operations.

AI also helps in the customization of warehouses as per the demand of the customer. With the help of this smart technology, our systems are able to learn and adapt to the unique demands of each warehouse, optimizing tasks like inventory management, picking, packing, and shipping. This level of adaptability and efficiency would only be attainable with the power of AI.

Potential of Robotics and Automation Systems

Universal Robots, a Danish manufacturer of collaborative robots, works on a mission of automation for anyone, anywhere. With their easy-to-use, cost-effective, versatile, and compact robots, Universal Robots aims to provide automation for everyone. Since the launch of its first cobot in 2008, UR has been changing the way work is performed across the world in manufacturing units through its collaborative robots, says Sougandh KM. He further adds, Universal Robots with the use of advanced technology and human-centric cobots is helping companies worldwide reshape their business and overcome challenges like labor shortage, poor quality of work, low output, and increased production costs. Universal Robots is not only advancing automation but also elevating the work environment for employees, fostering a setting where humans and cobots work together seamlessly to optimize productivity and drive innovation. Both in the current vein of Industrial 4.0 and more so in the upcoming Industrial 5.0, collaborative automation will work alongside human workers—taking over dangerous, repetitive, and time-consuming work, which allows humans to perform tasks that require a more human-centric approach. In turn, this will boost productivity and worker production, not to mention granting many facilities 24/7 uptime with the switch to automation.

Sharing insights, Graham Curren, says that Sondrel is an advanced ASIC design and turnkey manufacturing partner for OEMs, system houses and well-funded start-ups. Robotics and Automation is one of our key segments for providing the custom chip solutions that are key for this market because of our expertise implementing EDGE AI solutions using our Architecting the Future™ architecture reference platforms. These enable multi-processor solutions to be rapidly created to meet the project’s precise requirements, which often involve several different processors in one chip, each handling a different part of the solution, from data processing to running AI. Our special platform approach enables these custom chips to be brought to market quickly and hitting key power budget, latency and cost requirements with minimal risk.

Honeywell is proactively adopting Robotics and Automation Systems to meet the changing demands of industries and enterprises. In the current rapidly changing landscape, automation, including software, robotics, and automated storage and retrieval systems, is crucial in enhancing operational efficiency and ensuring competitiveness. Ashish Gaikwad highlighted a few examples for the same:

  • Honeywell has designed Honeywell Intelligrated, which offers a comprehensive suite of warehouse automation solutions. These solutions are designed to improve speed, accuracy, and efficiency in distribution, fulfillment, and manufacturing operations.
  • The newly launched Honeywell Universal Robotics Controller (HURC) acts as a digital backbone in distribution centers to tightly integrate robotics with software and unify control.
  • Honeywell’s commitment to automation is reinforced in the development of its Smart Flexible Depalletizer, driven by advanced machine learning and gripping technologies. This solution minimizes manual labor in tasks involving pallet loads, reducing the risks associated with labor-intensive roles and addressing labor shortages.
  • Honeywell’s Automated Storage and Retrieval System (AS/RS) leverages artificial intelligence and machine learning to help warehouses receive, process and fill orders faster and more accurately (up to 99.9% accuracy) while reducing storage footprint.

Bharanidharan S provided some insights about the company in the following points:

  • Addverb’s core operations lie in providing intelligent and innovative automation solutions across industries. The Company has used robotics to deliver innovative warehouse automation solutions that help customers scale their operations in a fast and effective manner, making them advanced and future-ready in the ever-evolving dynamic world.
  • Robots at Addverb are not just tools/machines for us but the very essence of how we envision the future of automation. Since its inception, Addverb has invested significantly in research, development, and implementation of state-of-the-art robotic systems across the industries to provide our clients a future-ready warehouse.
  • The portfolio includes a diverse range of robots, from autonomous mobile robots (AMRs) for material handling, sortation systems, picking, storage, and reverse logistic robotic systems that are designed to work seamlessly alongside human employees. These robots are equipped with cutting-edge technologies, including advanced computer vision, machine learning algorithms, and sophisticated sensors, enabling them to navigate complex environments, make real-time decisions, and interact intelligently with their surroundings.
  • Our unique approach to warehouse automation sets us apart. We don’t merely replace manual labor with robots; we completely redesign processes to achieve the optimal blend of human-robot collaboration. This transformation yields unmatched value, introducing unprecedented levels of Efficiency, Reliability, and Accuracy (E.R.A.) to our customers. We proudly refer to this as the “Addverb Advantage”.

Robinson Philipose has to say that ARAPL is fully committed to embracing Robotics and Automation Systems, recognizing their pivotal role in shaping the future of automation. Robots are, in essence, designed to replicate and enhance human capabilities, and this principle serves as the cornerstone of our approach to automation. We understand that human capabilities encompass mobility (walking), communication (Natural Language Processing), vision (seeing), cognitive abilities (thinking, analyzing, and finding solutions through AI and ML), and manual dexterity (hands, often embodied as robotic arms). Currently, these capabilities are advancing individually, but the future lies in seamlessly integrating them into a cohesive system.

He further adds that in the logistics domain, ARAPL’s vision revolves around “SAIL” – Solutions for Autonomous Interconnected Robots. The core idea behind SAIL is to foster collaboration among these robotic experts, allowing for the seamless orchestration of end-to-end logistics processes. Imagine a scenario where these interconnected robots work together to achieve complex tasks efficiently and autonomously. For example, with the advent of 3D printing technology, a manufacturer could potentially deliver products directly to customers’ homes through a network of 3D production pods. In this future landscape, robots specialized in various tasks, from order processing to inventory management and even last-mile delivery, would work harmoniously. These robots would communicate, coordinate, and optimize operations to ensure a swift and efficient delivery process, significantly reducing lead times and improving customer satisfaction.

Leveraging IoT, 5G, and Edge Computing

Shedding light on IoT, 5G, and Edge Computing, Robinson Philipose says that, “ARAPL is at the forefront of automation by actively harnessing IoT (Internet of Things), 5G technology, and edge computing. These advanced technologies are reshaping our automation solutions in significant ways.”

According to him, IoT plays a pivotal role in our approach, employing sensor networks to collect real-time data from a wide array of sources, including robotic systems and industrial equipment. This data offers insights into performance, environmental conditions, and machinery health. It’s securely transmitted to our centralized platforms, where machine learning algorithms analyze it for predictive maintenance. This proactive approach minimizes downtime and reduces maintenance costs, ensuring operational efficiency.

For 5G and Edge Computing, the Co-founder and CEO of ARAPL  has the following viewpoints.

  • 5G connectivity enhances our systems with high-speed, low-latency communication. This rapid data transfer supports near real-time analysis and decision-making. In mobile robotics, 5G is crucial for seamless communication improving navigation and decision-making capabilities. Additionally, 5G enables remote control and updates, allowing us to adapt swiftly to evolving environments.
  • Edge computing brings computation closer to data sources, reducing latency. We deploy edge devices and capabilities on our robots and automation equipment, enabling real-time data analysis and autonomous decision-making. This approach also filters and preprocesses data locally, conserving bandwidth and improving efficiency.

Sondrel specialise in ultra-complex chips that bring many different technologies together to form a single, precisely-tailored chip solution that reduces costs and power consumption. For example, recent projects for automation customers have included an IoT chip with a very high level of security built in and another AI surveillance chip with multiple 4K video streams.

According to Ashish Gaikwad, with the deployment of 5G technology, the pace of robots has significantly increased through faster wireless control and seamless programming transfer with IIoT-based controllers. This has enabled robots to establish more immediate connections with workers and other machines, fostering agility and responsiveness in the automation landscape. Moreover, the active deployment of sensors, made possible by 5G, has spurred automation adoption across the enterprise. In large-scale facilities, 5G facilitates the strategic placement of sensors throughout every nook and corner, creating a comprehensive data collection network. This data-driven approach serves multiple purposes, including accident prevention, early issue detection, and the optimization of production processes, ultimately enhancing the efficiency and safety of automation systems.

Furthermore, 5G is playing a pivotal role in building automation by connecting wireless sensors and actuators. In the context of automated warehouses, where tethered communication cables were traditionally relied upon for equipment like sorters, conveyor belts, and truck unloaders, the adoption of 5G liberates this equipment from physical constraints. This wireless connectivity not only boosts flexibility but also enables optimal equipment configuration, thereby maximizing productivity. The low latency inherent to 5G technology is another crucial advantage. It has made the adjustments to automation equipment possible in real-time, even when operators are in different parts of the world, further enhancing operational efficiency and safety. The strategic use of IoT, 5G, and edge computing is revolutionizing its automation solutions by making them faster, more adaptable, data-driven, and globally accessible.

In line with industry sentiment, Sougandh KM highlights that Cobots from Universal Robots are interoperable for any IIoT factory environment, with built-in support for Ethernet IP, Profinet, MODBUS, and TCP/IP protocols. UR also provides a secure framework for accessing robot state data for data collection and analysis to improve productivity and quality.

Users can download a free, robust SDK (Software Development Kit) through the UR+ developer platform for secure custom networking applications. Many IIoT systems have already been developed and deployed using products in the UR+ showroom. For example, Secomea provides the ARCS M2M remote access solution for machine builders and factories. With ARCS, manufacturers can avoid costly downtime, quickly identify robot malfunctions or out-of-stock situations, and improve maintenance and repair operations. Operators get intuitive, secure, on-demand access and management of the robot from any device, along with integrated SMS alarm and notification management.

By highlighting the company, Bharanidharan S notified us that Addverb is at the forefront of leveraging IoT, 5G, and edge computing to enhance our automation solutions. We integrate IoT for real-time data collection, enabling insights that optimise operations. The introduction of 5G provides high-speed, low-latency connectivity that is critical for instant data transmission in warehousing and automation systems like mobile robots. Edge computing has helped us enhance local processing capabilities, reducing latency, and enabling real-time decision-making. It has also assisted in improving reliability through distributed processing, ensuring uninterrupted operations.

All these cutting-edge technologies have helped enhance customization, scalability, and adaptability in our solutions. Addverb’s commitment to harnessing IoT, 5G, and edge computing empowers us to provide efficient, reliable, and highly responsive automation solutions tailored to the specific needs of our clients.

Delivering Personalised Experience to clients

Universal Robots automation technology is leveraged to assist clients with a highly personalized experience. We provide complete customized products to each of our clients. With the help of their diligent team and the latest technology-based cobots, we help our clients from the beginning of the conversation till the deployment of cobots to offer effective after-sales services. Below are the successful implementation strategies followed by UR to deliver customized experience to its clients as bolded by Sougandh KM:

  • Customized cobots/Solutions: UR works closely with the clients to understand their unique and diverse needs and challenges. We provide customized solutions as per their requirements to meet each and every need of our clients. With the help of myUR, we ensure the client has proper information and assistance for the deployment of cobots via several training programs and guidance tools. UR also ensures that their cobots are seamlessly integrated into their existing processes without any difficulty
  • Training and Support: We offer our clients comprehensive training and support services, ensuring they can operate and maintain their robotic systems effectively. This personalized training helps our clients maximize the potential of their automation solutions.
  • Continuous Improvement: UR, through its diverse channels, stays connected with its clients and provides them with continuous services based on their further requirements for better client satisfaction. Also, we tend to keep our clients informed about the latest developments in our robotic universe through regular updates

ARAPL employs automation strategically to offer its clients a highly personalized experience. Through automated data analysis, it gains deep insights into client preferences and behaviors, which forms the basis for tailoring our services. Advanced recommendation engines, powered by AI, provide personalized product or service suggestions, enhancing client engagement. Additionally, automated communication channels, including chatbots and email marketing, allow it to interact with clients in real-time, addressing their needs promptly. They’ve also established automated feedback loops to refine the client experience based on their input continuously. Importantly, we utilize automation in simulation, creating 3D videos to help clients visualize proposed solutions even before implementation, instilling confidence in the outcomes of services. These strategies collectively optimize operational efficiency while exceeding client expectations for a personalized and seamless experience.

According to Ashish Gaikwad, the need for automation in manufacturing industry started long before the labor shortage problem. Honeywell is creating better solutions, adopting automation technologies for repetitive manual processes that limit productivity and scalability, negating backup plans for employee departures, and enhancing safety for new employees. Honeywell uses analytics, virtual reality, and AI to enable employees to follow the right approach and processes and avoid safety hazards. Honeywell uses analytics, augmented reality and headsets that offer immersive experiences to help ensure employees follow correct procedures.

For example, Honeywell offers solutions, such as an immersive module for the whole plant that allows people wearing goggles to virtually walk through the plant and see the equipment in 3D. Employees can open the hood of equipment in 3D to investigate potential issues. Other solutions it offers help predict what equipment, such as a reactor or motor, may fail. Predictive analytics helps a customer discover and proactively schedule maintenance to minimize outages. To make it more accessible, employees can use a headset, a mobile device, a TV, or whatever they have on site. Honeywell says it’s seeing training use cases in a more controlled environment, such as inside a room or a classroom. Honeywell’s new Honeywell Digital Prime solution is a cloud-based digital twin for tracking, managing, and testing process control changes and system modifications. Digital Prime is a cost-effective solution that allows users to test frequently for more accurate results while resulting in an overall reduction in reactive maintenance.

Providing industry insights, Graham Curren says,” The chips in advanced Robotics/Automation systems are hugely complex, requiring upwards of 150 engineers with different, extremely specialist skills and knowledge along with design software costing millions of dollars. As an advanced technology company, we rely on AI-assisted advances for silicon chip design. For example, one of our key design offices is in Hyderabad, where we have over 40 engineers and are actively recruiting more, and there AI plays a vital role and is therefore creating jobs. Without AI, such chips could not be realized, and the electronic ‘magic’ behind the scenes for our everyday life would not be there.”

Bharanidharan S briefly explains the services offered by Addverb. Since the inception of the company, the main motive is to provide 360 degree automation solutions to their clients through their advanced and innovative intralogistics solutions At Addverb, it is believed that automation isn’t just about streamlining processes; it’s about delivering a personalized and tailored experience to our clients. The company aims to provide a complete automation solution to its client’s needs. It is achieved this by integrating advanced intralogistics solutions technologies and implementing innovative strategies that cater to the specific needs and preferences of each client.

Some of the instances by Addverb will give a clear picture to you:

  • One of our successful implementation strategies revolves around our intelligent warehouse management systems and a variety of robots such as Veloce, SortIE, and Multivista. With the use of AI-driven algorithms and machine learning, we analyze historical data, real-time inputs, and individual warehouse characteristics to optimize operations. This ensures that our solutions are not one-size-fits-all, but rather finely tuned to deliver maximum efficiency and productivity for each client.
  • For Instance, to simplify Ajio’s returns handling and warehouse operations, Addverb designed and delivered an advanced sortation solution with a fleet of Zippy – Sorting Robot powered by a robust Movect – Fleet Management System. With this flexible automation solution, the fast-fashion player added much-needed speed to its operations and achieved up to 20,000 sorts/hour. The solution also optimized space utilization and reduced labor costs for Ajio.
  • Another example can be of Janio Asia, a cross-border logistics service provider from Singapore, Addverb automated their sortation hub, with a fleet of Zippy and WCS updating their existing system in real-time. With the help of our high-speed mobile robots and advanced software, we boosted their productivity to achieve a throughput of 4300 units/hour across all shifts, while successfully reducing their error rate
  • Additionally, we actively engage with our clients to understand their unique requirements and challenges. This collaborative approach allows us to tailor our solutions to address their specific pain points, whether it’s optimizing warehouse layouts, customizing workflows, or integrating with existing systems.

Our goal is to provide not just robots but a full warehousing solution that aligns seamlessly with the client’s operations. By leveraging robotics and automation technologies and adopting a client-centric approach, we empower businesses to achieve their specific goals and objectives.

Ethical Implications of AI

Sougandh KM shares, in this era of rapid technological progress, profound transformations are sweeping across the globe. Yet, with every stride in technology, there come significant implications. The emergence of Artificial Intelligence (AI) has revolutionized the global workforce, rendering tasks once deemed arduous now achievable swiftly through robotic automation. This advancement has, however, sparked concerns worldwide regarding the potential displacement of human jobs by AI-enabled automation. It’s crucial to emphasize that AI is not poised to supplant humans, but rather to augment their capabilities. With AI integrated into operations, humans can delegate repetitive tasks to robots, freeing them to concentrate on higher-value endeavors and work with heightened efficiency.

At UR, the primary objective is to foster a human-centric work environment where robots operate harmoniously alongside their human counterparts. UR’s cobots are engineered with utmost safety in mind, designed to work seamlessly alongside humans without compromising their well-being. UR centers around promoting a collaborative work culture. Cobots are regarded as invaluable companions to humans, enhancing productivity and contributing to a more balanced division of labor. UR is dedicated to addressing the global labor shortage by deploying its cobots, enabling humans to channel their efforts towards tasks that are of significant value. UR’s commitment to human-centric automation underscores a future where humans and robots collaborate synergistically, amplifying productivity and laying the foundation for a more efficient and balanced work landscape.

According to Bharanidharan S, artificial intelligence is revolutionizing the job market by automating routine tasks, allowing humans to focus on more strategic and creative work. While concerns about job displacement exist, AI has led to increased productivity, creating new jobs and economies. In industries like warehousing, automation handles repetitive tasks, enabling human workers to focus on complex responsibilities such as material picking, packing, and equipment maintenance. AI-driven bots enhance job content by automating physically strenuous and cognitively challenging tasks. For example, AI-powered chatbots excel in customer service interactions, reducing the burden on human employees. In settings like warehouses, intelligent robots take on the heavy lifting, improving working conditions. With routine tasks handled by AI, job content becomes more meaningful and aspirational, leading to higher employee engagement and positive work culture. Additionally, data-driven decision-making minimizes biases, fostering a more inclusive workforce.

Moreover, our company actively addresses concerns regarding job displacement and the ethical implications of AI through a multifaceted approach. We adhere to a set of ethical AI principles, ensuring responsible development and deployment. We invest in reskilling and upskilling programs for employees to keep them up to date regarding the changes in automation and technology, creating pathways to transition to new roles. Additionally, we engage with stakeholders for feedback and insights. We are committed to transparency, compliance with regulations, and continuous monitoring of the impact of our technology on the workforce and society. We aim to contribute to a more inclusive, productive, and socially responsible future through these measures.

Providing company insights, Robinson Philipose says, at ARAPL, we are proactively addressing concerns surrounding job displacement and ethical implications of AI by implementing a multifaceted approach. Firstly, we are committed to facilitating the seamless transition of the workforce by providing skills training and upskilling programs. These initiatives empower workers to acquire new skills and competencies that are in demand alongside automation, ensuring their continued relevance in the job market. Ethical AI development is at the core of our practices. We prioritize fairness, transparency, and accountability in all our AI-driven solutions. By adhering to these principles, we aim to build trust and confidence in the technology while minimizing potential biases and unintended consequences.

Rather than replacing human workers, our automation solutions are designed to foster collaborative environments where humans and machines work together synergistically. This approach not only preserves jobs but also enhances productivity and efficiency. In addition to our internal efforts, we actively engage with stakeholders, including employees, industry experts, and policymakers. This collaboration ensures that our AI and automation deployments are carried out responsibly, with due consideration for societal impacts and ethical standards. Our overarching commitment is to harness technology for positive societal impact, all while safeguarding the well-being of workers and upholding ethical standards in every facet of our operations.

Adapting new technologies is necessary for improvisation, and adopting them also creates new opportunities and jobs. To adapt to the changing landscape, individuals and organizations must prioritize reskilling and upskilling efforts. Investing in lifelong learning and acquiring new skills is the only way to remain competitive in the evolving job market. AI will be a new vehicle that organizations will adapt to become smarter, faster, and more effective.

Honeywell Accelerator, our operating systems helps to drive a long-term sustainable advantage. It includes resources (tools, processes, and playbooks) for employee upskilling and career development, removes barrier to execution and improves speed, helps to create a culture of innovation, deliver better customer service, exceed expectations, and achieve financial and ESG goals. Honeywell also looks for talent externally and associates with universities, which is based on skills and experience, highlights Ashish Gaikwad.

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Vidushi Saxena

Passionate journalist with a Bachelors in Journalism and Mass Communication, dedicated to crafting compelling news articles and avidly exploring the dynamic world of current affairs through insightful blog readings. Embracing the power of words to inform and inspire.

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