The rapid growth in the usage of smartphones and other connected mobile devices has caused a spurt in the amount of data that flows through telecom operator networks. The operators must process, store, and extract information from the available data. By helping to optimize network use and services, improve customer experience, and improve security, Big Data analytics will help them increase productivity.
Research has shown that telecom companies have significant potential to benefit from Big Data analytics. However, Big Data's potential presents a challenge as to how does a company leverage data to raise revenues and income around the value chain, covering network operations, product creation, marketing, distribution, and customer support. What is telecom analytics? Telecom analytics is a form of explicitly applied and packaged business intelligence to meet the diverse needs of telecommunications organizations. The goal of telecom analytics is to lower operating costs and increase revenues by increasing revenue, reducing fraud and enhancing risk management. Telecom analytics solutions typically go far beyond what traditional business intelligence tools provide for monitoring and reporting, and can include sophisticated multidimensional analysis and forecasting. Telecom analytics has a diverse range of applications:Network management The reliability of the network remains a vital aspect of performance for communications service providers. Downtime seconds can lead to millions of missed sales, increases in customer service calls and the need for fast diagnosis and remediation. IT workers need to have a network management system to navigate with so many unknowns. When increasing amounts of rich content are being transmitted between devices, applications, and users, capacity demands on service providers have continued to increase in size and scope. Driven by convergence, M2M and the Internet of Things (IoT), both the complexity of distributed networks and the traffic rates continue to increase. Network providers provide some of the biggest, most diverse networks, serving geographically scattered facilities-from core to connection, head-end to outdoor facility, wired to wireless, and satellite. IT and network staff must provide remote access to these essential business infrastructures under all circumstances. Customer management The telecom industry is undergoing an explosion of competition and a period of hyper consumerization. The most immediate impact was a rise in consumer turnover. As a result, telecom companies are spending more on customer acquisition and maintenance. Nonetheless, the price point of delivering services to those consumers has remained the same, resulting in declining revenues. It's a tricky situation because consumer demand for multi-play services — such as broadband, cable TV, IP TV, mobile wallets, data, and content — can potentially improve sales if consumers can be kept. The solution to both problems, consumer retention and improved Average User Revenue (ARPU), is the same: delivering outstanding Customer Experience (CX). Although in the last decade or so the industry has had a positive "customer first" management approach, customer expectations and perceptions are rapidly evolving. Operators need to take major technical steps to keep pace. Thankfully, the incentives to develop CX have also expanded with the rise in touchpoints. Workforce management Telecom workforce management is transforming as the so-called "gig economy" begins to enter the market. When operators focus more on raising their costs of building network infrastructure, an increasingly "hybrid" contract labor force and full-time workers are emerging. More and more telecommunications companies are taking a much more aggressive mixed workforce approach to have small-cell technology research done in the field and also within the conventional telecom sector work that involves boots on the ground. Despite more emphasis on small cell installations and revenues that do not keep up with the mobile data traffic boom, operators are looking to cut labor costs. Technologies related to delivery are also keeping pace. Test vendors, for example, have spent the last few years introducing onto the market more instruments that have integrated capabilities and are often built for ease of use so that field techs can do some of the research that engineers used to do. Role of big data in telecom analyticsImproving customer experience The key use case for Big Data and telecom predictive analytics is optimizing customer service. For example, telecommunications marketing departments use clustering and unsupervised machine learning to segment the audience and then target individual clients. Developing a library of more than 50 offers and then setting up a system to easily launch and evaluate relevant initiatives, telecommunications will minimize churn by 10–15 percent over the next 18 months. Telecom contact centers can also use predictive analytics based on customer records, technical reports, internal articles of expertise, service tickets and expert advice to speed up call resolution and enhance the customer experience. Reducing fraud Telecom fraud is a major reason why the telecom industry lost its income. For example, the annual cost of telecommunications subscription fraud is projected to reach $12B, although others expect that it would be between 3 and 10 percent of the gross revenues of the operators. Telecoms use fraud detection systems based on data mining algorithms to identify fraudulent customers and suspicious activity in near real-time to tackle this issue. International revenue share fraud (IRSF) is another extremely harmful fraud in the telecoms market. For instance, according to the Communications Fraud Control Association (CFCA), the telecommunications industry has lost about $4B to fraud involving foreign revenue shares (IRSF). IRSF is triggered by artificial traffic inflation or traffic pumping up to the world's premium-rate levels. The fraud is conducted by traffic-generating hackers or fraudsters and PRN (Premium Rate Number) aggregators who acquire a list of fraudulent premium-rate numbers. Network operations monitoring and management One of the strategic use cases for mobile network operators (MNOs) is the monitoring and management of network operations. M According to Thractica research, monitoring, and management of network operations is expected to account for 61 percent of AI spending in the sector between 2016 and 2025. And it is only rational because predictive analytics helps to forecast traffic flows and routing peak times, and thus helps to ensure the smooth operation of networks. Telecoms, for example, can predict the phases of the heaviest usage of the network arising from video sharing and reduce congestion at those times. As a result, telecommunications will reduce their expected capital investment by 15 percent. It also helps to forecast weather effects on the environment (for example, AT&T has developed a special method for assessing climate change). What's more, it goes a long way to directing workflows, managing technician distribution and delivering real-time network alerts. The future of telecom analytics is with big data Since a telecom company has to keep up with new technological breakthroughs, stay ahead in one of the most competitive industries in the world, and adhere to a slew of regulations, the function of telecom data analytics is to provide businesses with the easiest way to extract insights from all of their data. Using a solution for telecom data analytics that can help a company obtain deeper insights would produce more revenues. Every department generates tons of data at a telecommunications and media service provider. Other departments can gain insights into the data from each other without a centralized data analysis. In addition, the data would sometimes vary from those of other departments without a centralized solution, contributing to uncertainty and even frustration. Free Valuable Insights: Global Telecom Analytics Market to reach a market size of USD 8.7 billion by 2025 All the data departments merge into one unified structure with a centralized data analytics solution. Every department has to provide its insight into the data gleaned, offering a different viewpoint that will lead to a quicker solution. All the departments can benefit from each other, improve performance and increase profitability.
0 Comments
In the early stages of development, hyper-converged technology has gained traction due to its potential to provide virtual desktops. Businesses are heading towards high performance within a linear scaling architecture that is the primary target of hyper-converged technology with ever-increasing digital data and diversified sources. As the hyper-converged architecture has evolved from conventional workloads on servers such as web servers, standard applications, research & development to mission-critical workloads like SAP, SQL, and Oracle, the industry has achieved high adoption rates that have a positive impact on market growth. What is hyper-converged infrastructure? Hyper-converged infrastructure provides simplified and versatile solutions as an effective replacement for the legacy ones. The technology integrates storage systems, servers, and networking switches that are managed under a single system. It also has in-built management functions that ensure ease of usability. Besides, software-defined storage has great potential for bringing in better scalability and resource efficiency. Many companies around the world are moving their entire IT infrastructure into the cloud as it offers a high degree of flexibility. Several financial institutions have faced regulatory barriers or compliance issues about the cloud storage of their data. This has prompted companies to look at the hybrid cloud model while some find it suitable for the on-premises model. Hyper-converged infrastructure technologies are rapidly emerging as the perfect alternative to public cloud services such as Azure and AWS, as these systems are easy to administer and help reduce costs associated with conventional data center systems. Hyper-converged infrastructure applications: Data Center Consolidation A key part of the modern IT infrastructure is data centers. Either business create their facilities, collaborate with a third-party data center, or use a public cloud provider to meet their data needs, virtually every company relies on data centers to lay the groundwork for today's increasingly interconnected global economy. Datacenter consolidation refers to innovations and approaches allowing for more effective IT architectures. This can mean consolidation of multiple data centers physically, or simply making a single large data center operate more effectively with fewer resources. The consolidation of data centers is one of the most important ways of raising the cost of IT operations. Larger data centers, on a per-unit basis, are more cost-efficient. The trend towards consolidating data centers has evolved in the last three years. Virtual Desktop Infrastructure (VDI) Virtual desktop infrastructure (VDI) is described as hosting a central server to desktop environments. This is a type of desktop virtualization since the actual desktop images run on virtual machines (VMs) and are distributed over a network to end clients. PCs or other tools, such as tablets or thin client terminals, may be such endpoints. Businesses who implement WVD will have their applications running on cloud desktops. Businesses are progressively moving towards this completely cloud-hosted experience, which would eventually compel industries to switch to online operating models. Cloud migration has been a phenomenon for years. M ore hybrid cloud models are being witnessed during this transition (some systems are hosted locally, others on the web, or in WVD). To compensate for these hybrid systems, other VDI providers and third-party applications may have to change their functionality. Virtualizing Critical Applications Moving devices to the cloud are one aspect of a technology journey that is taking millions of companies around the world today. The process involves transferring the files to the cloud, then devices, then desktops. All of the experience will be delivered in the cloud and supported. Virtualization technologies are the central enabler for many applications in computer engineering, ranging from cloud computing to real-time embedded systems. Unlike cloud computing, there is a need for unique frameworks in CRTES production that guarantee and implement program execution to meet timing and safety requirements. Several techniques have been built over the years to abstract physical resources in virtual form, from classical full-virtualization and para-virtualization to more recent virtualization at the OS level. Hyper-converged infrastructure for various industriesBanking, financial services and insurance (BFSI) sector Hyperconverged infrastructure (HCI) has seen a significant increase in demand in the financial services sector. This is hardly surprising as it can require seamless device communication, bulletproof data security, and dramatically increase agility, as well as reduce overall associated costs. Specifically building societies today turn to HCI as a key enabler of their digital transformation strategies. They are grabbing the potential benefits that it can offer with both hands, not least because the rising use of the Internet of Things (IoT) is driving the growing need for edge computing systems by organizations. Cloud advantages are well-publicized and have already been leveraged to some degree by most financial companies, whether from an on-premise, centralized or public cloud platform, or more generally a variation of each (i.e. hybrid cloud). HCI will almost always be introduced alongside other network technologies as a completely functioning virtualization tool, as well as combined with cloud computing. For example, a hyperconverged network approach can be expanded into the cloud for a seamless management interface through nested virtualization in cloud platforms. Manufacturing industry More and more importance is applied to finding the best way to turn IT infrastructure in the manufacturing sector, mainly to meet the need for efficient operations and rising demands of customers. To meet these demands, the manufacturing industry is pursuing hyper-convergence for the potential benefits it can offer and allow its growing use of Internet of Things (IoT) technologies and its need for more powerful edge computing systems. The definition of hyper-convergence has changed over time but it was a converged network approach in its earliest days that included the virtualization hypervisor. This is a vital distinction because it has clear consequences on how to design architecture on greater simplicity and efficiency in storage. Hyperconverged infrastructure is economizing energy. The storage can be architectured and integrated directly with the hypervisor by using a native hypervisor, removing redundant storage protocols, filesystems, and VSAs. Education Educational organizations now more than ever need powerful data centers as their infrastructures realize the growing weight of emerging technology integrations, data analytics initiatives and the rising number of customized apps. The solution may be the hyperconverged infrastructure. Hyperconvergence has seen a marked rise across industries as IT administrators are searching for ways to juggle network speed and security at a low cost of infrastructure. Hyperconvergence has already reached higher education and is starting to come down the pipeline to K–12 schools as city leaders realize that data center automation will offer financial and physical benefits. Major technology companies are beginning to see the benefits, too. Windows servers are now designed for data centers that are hyperconverged. Such activity around hyper-convergence now makes a timely transition for schools to make. Hyper-converged infrastructure trends across the globeThe hybrid, multi-cloud has found a foundation that will continue to solidify For many, hyper-converged infrastructure is already the foundation on which to reach the multi-cloud environment. HCI is well suited to most data center workloads, with flexible economics and increased operating efficiency. There has been a trend in recent years towards differentiating HCI solutions with a more platform-centric approach. For instance, Nutanix is now positioning its HCI solution as the hub of a larger framework that extends out into the public cloud, introducing some of the public cloud goodness to on-premise environments. This involves offering ways for consumers to handle these conditions more efficiently and reduce costs. Backup and disaster recovery use cases for HCI will continue to expand That's one more safe bet. Storage demands never cease to increase. Backups and recovery from disasters are rising together with them. Even though this is an obvious point, it is worth remembering still. Increasingly, HCI solutions provide some form of backup and recovery, to varying degrees. Several solutions provide unique services and others have strong relationships with more conventional providers of backups. The built-in backup and recovery capabilities are more than enough for many and will continue to be so. This effectively lowers the solution's total cost of ownership. But it's not for everyone; if HCI is only one aspect of a wider technology setting, then the company may prefer to incorporate HCI in its overall plan for data security. Edge and micro data centers will soon quadrupleThis is an understatement but the complexity revolves about how the word data center is described. Edge proliferation shows no signs of slowing down and HCI is the perfect option for a certain form. There are a variety of explanations for this, including compactness and user-friendliness. Many HCI vendors are already pivoting toward branding themselves as edge computing system suppliers. We also see some betting the company on the edge, like Scale Computing, and building vast HCI-centric ecosystems that are quickly stamped out of the factory and deployed. To sum up The hyper-converged infrastructure market is becoming the backbone of the multi-cloud world. The highly automated design of the HCI offerings helps to reduce the risk of downtime associated with typical life cycle management activities such as hardware updates and system refreshments. The scale-out, software-defined design of hyper-converged offers helps remove the need for complicated and comprehensive forklift upgrades which are still very common in data centers. The growing use of artificial intelligence and hyper-convergence makes the data center smarter and more streamlined in the tracking and control of assets and risks. Free Valuable Insights: Global Hyper-Converged Infrastructure Market to reach a market size of USD 27 billion by 2025 Hyper-converged infrastructure deployments at the edge will ramp up in the coming years. Traditional business data centers are developing and adapting to the emergence of cloud computing. Owing to technologies such as 5G and hyper-converged networks, by 2025, the number of micro or edge data centers would quadruple. It paves the way for hyper-converged deals to combine servers, storage, networking, and applications within a single glass plate. The manufacturing operations management software technology has gained widespread adoption across the small as well as medium-sized enterprises worldwide. The technology is a comprehensive process that creates policies and rules to maintain the integrity of production. It also ensures that every employee, equipment, or system works in a streamlined manner. As the technology innovates at a breakneck speed and businesses thrive to work at a parallel pace, manufacturing operations managers play an increasingly important role in carving out a cutting edge.
The broad spectrum of high-quality radio frequency components is founded on the varying requirements of in-building or distributed antenna networks and applications for railway, test, and measurement. The parts are compatible with each other and have very high-quality stable characteristics. This high-quality standard is the culmination of many years of radio frequency device development and production experience.
Radio frequency (RF) refers to the oscillation rate of electromagnetic radio waves between 3 kHz and 300 GHz, and the alternating currents that carry the radio signals. This is the frequency band used to receive and broadcast communications. Although RF is the wave oscillation frequency, it is synonymous with the term "radio," or simply wireless communication. What is radio frequency? Radio frequency is used in many areas, yet it refers to the frequency band in which wireless telecommunications signals are received and transmitted in the sense of information and communications technology. The frequency band is divided into various parts, which are then allocated to different industries of technology. This is known as the radio spectrum. For instance, for FM radio, TV broadcasts, and amateur radio and its counterparts, the VHF (very high frequency) band, which ranges from 30-300 MHz, is being used extensively. The ultra-high frequency (UHF) band is used for many electronic communication devices. This is the space used by mobile phones, wireless LAN, Bluetooth, TV, and land radio. Radio frequency is generated by oscillating current a given number of times and then radiating it off a conductor, which is referred to as an antenna, into space as electromagnetic radio waves (this refers to space occupied by air rather than solid objects and does not refer to outside space). RF signals are emitted and received by conductors through the phenomenon called the skin effect. Wherein, RF current latches itself and flows through the conductors' surface instead of penetrating and flowing through them as with other non-conducting solids. This influence is radio technology's heart and base. Different kinds of radio frequency componentsAntenna Switches Antenna Switch Modules (ASM) support smartphone and other network-connected wireless devices with telecom-related features. Such modules support multi-band connected wireless devices. These comporadio frequency technology nents combine the individual transmission and receiving routes of one or multiple Long-Term Evolution (LTE) antennas, Enhanced Data Rates for GSM Evolution (EDGE), Universal Mobile Telecommunications Service (UMTS), Code-Division Multiple Access (CDMA), and Global Mobile Communications System (GSM). Using the Low-Temperature Co-fired Ceramic (LTCC) technology, these small-package antenna switch components have embedded high-powered capable switches and passive function circuits like GSM-LPF. Power Amplifier Radio frequency power amplifier is an electronic amplifier that can be transformed into a low-power radio frequency signal into a higher-power signal. RF power amplifiers usually drive a transmitter's antenna. Gain, power output, bandwidth, power efficiency, linearity (low signal distortion at rated output), matching impedance input and output, and heat dissipation are often the crucial parts of design goals. The RF power amplifier's basic applications include driving a transmitting antenna, driving to another high-power source, and exciting resonators for the microwave cavity. Driving transmitter antennas is more well-known among these applications. The transmitter-receivers can be used not only for voice and data communication but also (in the form of radar) for weather sensing. Filters The RF filters were designed to be able to work easily on frequency ranges varying from medium to extremely high, i.e. megahertz and gigahertz. It is most widely used in devices like wireless communications, broadcast radio, and television, due to its operating features. In general, most RF filters consist of coupled resonators, the value variable of which can determine the filtering rate within the RFs. RF filters are used to arrange the frequencies of the signal. Simply put, the RF filters may filter out the noise or minimize the external signal interference that may affect the quality or efficiency of any communication system. The lack of proper RF filters in place could result in a toll on signal frequency transfers that could ultimately affect the communication process. The future of radio frequency industry The radio frequency components market is becoming omnipresent more rapidly than ever before. This has been observed majorly due to technological evolution in the field of wireless communication and advancements in materials used for manufacturing RF components. The demand for radio frequency components and upgrades continue to help drive the world throughout many public and private sector applications. But technology is advancing so rapidly, it is sometimes difficult to predict how the world will look in just a few years. In 2027, we should expect that 5G networks will be up and running for some time, and consumer expectations of mobile speed and performance will be significantly higher than they are today. With more and more people adopting smartphones around the world, data demand will continue to rise, and traditional bandwidth ranges below 6GHZ are simply not going to be enough to meet this challenge. Free Structural Data: https://www.kbvresearch.com/news/radio-frequency-components-market/ The need for advanced RF solutions for satellite communications (SATCOM) will also increase in both the military and commercial sectors. One particularly ambitious project that requires advanced RF engineering is SpaceX's global Wi-Fi project, which will require more than 4,000 orbiting satellites to beam wireless internet to people around the world, using 10-30 ghz frequencies in the Ku and Ka-band range-and that's just one example. From smartphones to satellite service, GPS and more, RF technology is a modern-day innovation that's so omnipresent that many of us just take it for granted. Automated guided vehicles (AGVs) have come forth as a widely-demanded technology due to its unavoidable benefits. An AGV can be simply understood as a fully-automated transport system. The vehicle provides benefits ranging from better workforce safety, reduced production time, and low operational costs. The industry is driven by some of the massive technological trends such as the rapid adoption of mobile robots, Industry 4.0, and advancements in navigation technology.
Getting familiar: The what, why and where of automated guided vehicles What is an automated guided vehicle? Automated guided vehicle (AGV) systems help in moving and transporting items in warehouses, manufacturing facilities, and distribution centers without any fixed conveying system or manual intervention. It follows configurable guide paths to optimize storage, picking, and transport functionality in the premium space environment. The last few decades witnessed significant advances in robotic technology. Why has technology gained an unsurprising demand lately? The growing need for high efficiency in the healthcare, automotive, e-commerce, and food & beverage sectors is raising the need for automation. The AGV-enabled automation of industrial installations can help meet the requirements of material handling capacity, reduce production time, reduce the chances of human error, increase safety, ensure high production volumes and increase accuracy and repeatability. The adoption of AGVs enables just-in-time (JIT) delivery of raw materials, computerized control of the received assembled parts and tracking of the shipped items. Where do we see the wide-scale adoption of the automated guided vehicle technology? AGVs are used in several end-use sectors, such as automotive, logistics, healthcare, manufacturing, and food and beverage industries. Increased productivity and decreased labor costs are the main factors that drive the need for industrial equipment. The demand for AGVs is expected to increase due to a rise in industrial automation. Expanding industrialization has led to a persistent need for specialized material handling and transport solutions for fueled performance. AGV for different industries:Manufacturing Technological advancements and a rising population have put a greater demand on the manufacturing sector. Industry 4.0 will be the next step for the manufacturing industry by introducing internet technologies to an integrated automation system. By applying internet technologies to optimized automation systems, it became possible to make manufacturing processes more efficient, less reliance on human intervention and allowing systems to make self-decision. For decades, autonomous systems such as automated guided vehicles (AGVs) have been used in construction facilities and distribution centers. Retail Increasing globalization and the advent of online retail and bulk retail have increased demand for AGVs in the retail sector. The deployment of AGVs in factories and warehouses allows them to do this. Service quality and customer happiness are the main competitive factors in the e-commerce market. Companies are offering a single-day delivery option with certain additional charges and with rising disposable income in both emerging and advanced economies, the commercial viability of these schemes is increasing significantly. The single-day delivery method is carried out by e-commerce warehouses with the aid of AGVs. Healthcare Automated guided vehicles are penetrating the healthcare industry step by step. Multiple reasons influence this new situation. For example, reducing AGV costs and increasing salaries for human staff. Also, developments in sensor technology for location and navigation, environment recognition and collision avoidance, fleet management, and content monitoring, as well as a more comprehensive diagnosis of individual vehicles are the factors (among many others) driving the transition. Mobile robots are becoming more convenient, performing non-value-added tasks such as moving the trollies of 800 to 1,000 pounds that require the unskilled workforce. The AGVs play an important role in day-to-day operations and help staff focus on their core care skills and provide quality care for patients. What’s trending in and around the automated guided vehicle industry? The trend of mobile robots Because of demands in automation, the mobile robot has been one of the focuses of research in this period. In their industrial plant, many industry players are using a mobile robot to eliminate manual labor, as well as to ensure more efficient and standardized processes. The industrial use of mobile robots is typically referred to as the Automated Guided Vehicle (AGV). The advancements in navigation technology allow the AGV to be used for several tasks like carrying the load to pre-determined locations sent from the stock management, mobile app, and pallet handling. More recently, the paradigm of Industry 4.0 has been widely accepted in the sectors, where critical process data is traded for better management over the internet. Industry 4.0 and AGVs Industry 4.0 combines different technologies to further improve the coordination and management of manufacturing environments. Through the introduction of internet technology, the principles can be extended to existing manufacturing factories. Such innovations are aimed at improving connectivity between systems and handling facilities within factories in a better way. This can be done by creating a virtual equivalent using the sensor data from real-world systems. This enables better monitoring and control of the processes. The smart factories comprise of smart devices and products that demonstrate IoT and CPS concepts. On-board processing, communication technology, data storage, sensors, and actuators are required for Smart devices. Smart products can define themselves, explain their status, history, and future processes. Manufacturing in smart factories is, therefore, more versatile and smarter, resulting in more individualized products and allowing factories to have a modular structure. Advancements in the navigation technology The earliest automated guided vehicles were directed by a wired method around the factory. Though this navigation technique is still used today, plant managers have to choose from several other methods. The tape is sensed by sensors on the AGVs, and this is used to direct the vehicle. Reference points are located on the factory floor at coordinates x, y in inertial navigation. Changes to the pathway can be made by simply changing the points of reference, making this process more versatile. The next step from inertial navigation is open path navigation, which states that the vehicle can travel from one position to another independently, going from a guided vehicle to a self-driving vehicle. Speed and efficiency are important in the environment of the warehouse. Navigation developments have made the AGVs highly competitive. Automated guided vehicle industry insights Mar-2018: Toyota launched T-ONE, new, in-house smart automated guided automation software developed for vehicles. The program was developed as an integration layer that interacts with automated guided vehicles (AGVs) from Toyota Autopilot and existing infrastructure such as product recognition equipment, warehouse management systems, and other material handling equipment. May-2018: Toyota has introduced a new electric forklift with heavy-duty Traigo80. This forklift provides high speed, maneuverability, and efficiency. The powerful motors provide a strong climbing ability and fast travel speed, making the forklift usually reserved for engine-powered forklifts suitable for challenging applications. With the help of a sharp rear steering angle, the truck can also navigate in small spaces where appropriate, for example in production or storage areas. Nov-2018: Oceaneering launched REVO-GT, a vehicle system. This system uses driverless, self-guided community transit vehicles and has a capacity of up to 24 passengers. This allows the passengers to choose one or more specific destinations from pre-programmed routes linking different origins. Taking everything into account Industrial structures are rapidly evolving, moving towards automated systems to enhance and optimize productivity levels, reorganize logistics, and improve transportation & logistics systems. Industry 4.0’s emergence has contributed to the widespread sharing of data and automation in the manufacturing industry. Free Valuable Insights: Global Automated Guided Vehicle Market to reach a market size of USD 5.4 billion by 2025 With growing interest and a move toward automated systems and innovations, the automated market for guided vehicles has seen growth in recent years. Technological advances, especially in the navigation area, have played an important role in increasing the adoption of the automated guided vehicle in the manufacturing sector. Given the fact that some people are asking for an end to cash transfers and some companies are preferring to go cashless, cash transactions are still commonplace. Cash management systems are integrated tools designed to help businesses handle cash processing from end to end. Most cash management programs are created to help from the point of intake to reconciliation. They can streamline the process, which has numerous benefits for businesses. What is a cash management system? A cash management system helps to manage cash inflows, outflows and cash flows within a company. It also encompasses the financing of the deficit and the investment of surplus cash to ensure an optimum cash balance. Cash management processes begin when the customer writes cheques to pay the company's receivable account. The function ends when the supplier, employee, or government receives money from the company on an account payable or accruals. The basic issue of cash management is to allow the company to retain adequate liquidity while at the same time enhance its profitability. The adoption of the cash management system technology across the banking sector Now that the banking landscape is transitioning to self-service models, banks are investing extensively in banking software that ensures ease of usability, is reliable and fortified with advanced security features. A larger focus is being oriented on the advancement of a cash management system, which includes high volume transfers between various accounts. It is expected that the Digital Transaction Banking market will generate an exponential level of revenues in the coming years. Since smaller banks and enterprises are growing in terms of strength, their increasing asset size is predicting a sharp rise in cash management. Technology trends and the future of banking Payments InfrastructurePayments infrastructure will always be the most dynamic area of disruption in the banking sector. Driven by changing trends and technical developments, technological advancements in the payment industry will intensify. Acknowledging the continuous development of a cash management system, technology is projected to shift everything from a range of different products to part of all that users do. Data and innovations will be the driving force behind the differentiation and the dynamics of payments will change. The increasing presence of digital banks In recent years, neobanks such as Chime have started to target millennials. Furthermore, fintech such as Kabbage focuses on business liquidity, and big tech companies such as Apple and Google have entered the financial services landscape. In response to these disruptive measures, more banks and credit unions are planning to launch digital labels in 2020 to further attract new clients and members. Digital is now the default contact point for most customers, making this approach an efficient way to attract deposits and extend the geographic footprint of an institution. For digital banks to be efficient, institutions must ensure that digital experience is convenient, intuitive, and provides a significant differentiator. Digital transformation The recent trend towards digital-first banking reflects a significant change in thinking. Traditionally, companies used to work in silos, creating challenges and additional costs in the back office, and inconsistent, disappointing customer service. Legacy technology hinders institutions' ability to easily evolve, rendering it impossible to keep pace with emerging rivals. New-age technologies like a cash management system now can "de-channel" fragmented processes within an organization. As the race for deposits and new account relationships escalate, customer or member experience will overtake channel supremacy. Over the coming years, more institutions will automate and streamline channels by using tools such as API layers to connect customer and member profiles, thereby lowering costs and enabling more robust and seamless banking experience. This approach enables banks and credit unions to seamlessly unite digital and physical experiences, delivering customized, responsive experience independent of touchpoint. Innovations in cash management systems that expand their industry-wide presenceOpen Banking/APIs From the era of proprietary applications, private APIs and close networks, banking has just become increasingly open to technologies such as open APIs, Fintech collaborations, cross-industry partnerships, regulatory changes such as PSD2, etc. These technologies affect all aspects of banking and corporate banking, too, needs to be digitally activated and API ready. Multi-bank cash management, which currently takes hours or days to handle, is set for a major transformation with APIs that will change the way a cash management system operates. Artificial intelligence and advanced analytics Getting the correct amount of knowledge is crucial to make informed decisions. The use of artificial intelligence and advanced analytics in the cash management system is on the rise because it helps ensure the availability of data and knowledge around the business to make informed liquidity decisions. Predictive and prescriptive analytics will allow companies to extract the vast volumes of data they need to further boost their sales output and financial performance. Predictive analytical techniques such as predictive analysis, rich data modeling, real-time analytics, and scoring can be used to predict patterns in forecasting. Communication and commitment will play a central role Top executives are realizing that committing themselves to the cause is incredibly necessary for effective cash management. The cash flow management system technology is expected to become a priority for senior staff in 2018, as this, in turn, would enable them to effectively manage the gap between their objectives and the overall performance of the company. More companies prefer a stripped-down approach to the cash flow control that eliminates both buffers and assumptions to accurately express the company's exact liquidity position. It also implies that an independent company and divisional heads understand the value of cash flow management and take effective action to work towards a common objective. Industry insights Aug-2018: Oracle added Transaction processing features to its Autonomous Database Cloud. With additional features, the database can be customized for transactions. Oracle Autonomous Transaction Processing offers a self-driving, self-securing, self-repairing database operation that can be instantly scaled to satisfy the requirements of mission-critical applications. Oct-2018: Finastra, a UK-based financial services company, launched PAYplus, a premium cloud-based instant payment offering for small to medium-sized banks. The solution meets the rising needs for immediate payment processing. The Fusion Global PAYplus solution can support immediate payment processing, such as high throughput all day, every day and end-to-end transaction times in seconds. Nov-2019: SAAS, a cloud-based, Sage Intacct accounting product, was launched by Sage Group in the UK market. The product offers a robust suite of applications for accounting and financial management. This company has marked its extension to the United Kingdom. Nov-2019: Finastra launched Fusion Treasury Essential, a packaged solution. This solution has been developed for banks that do not have a dedicated treasury system but are thinking about automating and modernizing their treasury functions. This solution is ideally suited to banks with insufficient IT resources. Free Valuable Insights: Global Cash Management System Market to reach a market size of USD 20.6 billion by 2025 To concludeThe cash management system market is witnessing developments in technologies that lead to a range of revolutionary changes in the power and reach of corporate cash management through newly versatile business solutions. To better understand the future advantages, the implementation of industry standards for authentication, configuration, file/message format, and the content will be of significant importance in creating a new environment for corporate financial processes. Robotic process automation (RPA) has provided enterprises with diversity and better capabilities to adopt as well as to adapt to changes. Robotic process automation services have made this possible by transforming business processes into convenient and user-centric ones. Recent years have witnessed phenomenal growth in the adoption of RPA in the corporate world.
What is robotic process automation? Simply put, robotic process automation tools help to configure the existing computer software. The tools are capable of replicating and implementing a human’s actions who work within digital systems to carry out a business process. The robots use a user interface to gather data and monitor applications like humans. They can also interpret, trigger responses, and connect with other systems to work on several repetitive tasks. Factors that lead to a wide-ranging adoption of robotic process automation solutions Although RPA software can be used across all sectors, the leading adopters are insurance companies, banks, telcos, and utility companies. Many organizations have always had several legacy systems and opt for RPA solutions to ensure integration efficiency. The capability to incorporate legacy systems is a key driver of robotic process automation projects. By using this technology, enterprises can boost their digital transformation activities rapidly, while at the same time maximize the benefits of previous technology investments. Large-scale software companies either collaborate with or acquire an RPA software provider, which means they are raising awareness and adoption of RPA software among their large base of customers. At the same time, new entrants seize the opportunity to adapt traditional RPA systems to digital business needs, such as the management of event streams and real-time analytics. For robotic process automation providers, this can work as a major opportunity. Some of the key applications of RPA solutions: Banking, financial services and insurance (BFSI) Banking & finance-oriented robotics is primarily associated with the use of a powerful robotic process automation software to install desktop and other robots at the end-user device level. It also helps create a workforce or virtual assistants for artificial intelligence. RPA in the banking industry serves as a useful tool for addressing the banking sector's pressing demands and helping them optimize their productivity by cutting costs with the service-through-software model. Banks and financial institutions are taking a pragmatic, not tactical, approach to capturing this opportunity. Retail The retail sector crisis is well-known to the world. Retail is facing a challenge due to the increasing complexity of every industry due to changing customer demands and growing user satisfaction requirements. Robotic process automation or RPA is an optimal solution that can be used to balance exponential growth and related complexities. Retail robotic process automation can automate and efficiently enhance the workflow of most of these routine activities, such as customer engagement, inventory management, loyalty scheme management, customer complaint management, bill generation, and business reporting. Healthcare The healthcare industry outside of artificial intelligence has provided numerous possibilities for automation. Robotic process automation (RPA) technology can support healthcare organizations with different usage cases involving data transfer and clinical documentation. Moving important information from the frontend of the company to its deeper business processes is one of the most common use cases of robotic process automation in healthcare and many other approaches arise from this concept. The use scenarios of robotic process automation in the healthcare industry involve moving data between the area where users input and interact with the data and the databases where the data is usually stored. These can provide benefits to healthcare companies by making clinical documentation more available, freeing up frontend employees through providing self-service and make improvements in payments. What’s trending in the robotic process automation industry? Intelligence automation will prevail Intelligence Automation (IA) has existed with different perspectives for a long time. IA usually includes combining process automation with machine learning, a cognitive discipline of Artificial Intelligence in the sense of robotic process automation. The corporate sector will be opting for a fully integrated IA method in the coming period to find values in both workplace capability and overall efficiency. Another notable pattern will be that of excellent coordination across the digital workforce management between the digital workforce and human talent. In a nutshell, Intelligent Automation is ready to take a giant leap in the coming years to achieve optimum results. In addition, AI-powered automation and rules-based RPA services will lead to IA widespread adoption. RPA for security Robotic process automation is most commonly considered as a tool for efficiency and efficacy. Reducing or performing repetitive manual processes is efficiency in itself. RPA and various forms of automation will become an increasingly obvious piece of data security methodologies, not because there will be a multitude of bots fighting threats on the front lines, but as they can help to reduce the most common risk of all: human error. Work today is going faster than ever and increasingly from on the go, making the task of protecting sensitive data from human error progressively difficult and powerless. As significant data streams across businesses, through dissimilar organizations, partners, apps, mists, vendors, and customers, the old-school, human-only way of dealing with data security essentially cannot scale up to handle this downpour information, which can trigger costly mistakes. Better employee engagement and customer experience Employee engagement is the key to survival. Employees in companies are the faces of any company. They take care of the companies by offering customer support in terms of delivering technical support solutions. Eventually, it is the most essential part of operations as every company wants their operations to become flexible. Employee engagement is essential to every company in this process and to improve this, robotic process automation becomes an inevitable technology. Nowadays businesses are more focused on customer satisfaction, and they give higher importance to customer handling and answering their queries. Digital technology introduced an option for sending queries online to make it simple. Robotic process automation is one step ahead- making businesses compatible with consumers brings more choices including automated chat. This will boost customer experience and build brand loyalty. Here’s what industry giants are up to: Jul-2019: NICE has released version 7.1 of Robotic Process Automation. This version aimed to promote the comprehensive and rapid development of automation and ensure the sustainability of a business. It allows efficient management of the robotic and human workforce. Oct-2019: Automation Anywhere, Inc. launched Automation Anywhere Enterprise A2019, the world's first Digital Workforce platform, entirely web-based, cloud-native. The platform provides RPA-as-a-service to any company or consumer anywhere in the world, through any distribution channel. The platform has been made available on-premise, and in any public, private or hybrid cloud. Dec-2019: Verint introduced a new analytics solution, Robotic Process Automation Discovery. This solution was designed to help companies speed up their intelligent automation programs in time-to-value. Feb-2020: NICE launched an all-inclusive automation package, NEVA Unlimited. This package was created to drive successful applications of automation. Companies purchasing NEVA will now get complimentary unattended robots for automation. To conclude The robotic process automation market is here to stay and the coming years are not different when it comes to the escalated prevalence of RPA solutions. RPA can provide an effective solution to many repetitive business processes, whether it is process automation or managing legacy processes. In short, robotic process automation is all set to play a vital role in bringing companies to the next level by digital transformation. Free Valuable Insights: Global Robotic Process Automation Market to reach a market size of USD 7.2 billion by 2025 Large businesses and small and medium-sized enterprises can leverage the advantages of RPA and give their customers better services. Of course, we should expect RPA to be mainstreamed in the corporate sector in the coming years and become a standard for businesses of all sizes and sizes. Knee braces have found their applications in a wide range of problems and illnesses. Functional knee braces are designed to replace damaged ligaments. For instance, a patient who has an ACL tear can be offered to wear a knee brace to allow certain activities to be performed without surgery. Prophylactic knee braces are used to prevent injury to the knee. Prophylactic knee braces are worn by sportspeople who engage in some high-risk sports to reduce their risk of a knee injury.
What are knee braces? Knee braces are medical supports used to prohibit knee injury during sports activities and to reduce pain because of medical conditions like tendonitis, osteoarthritis, and other injuries. Athletes or any patients suffering from arthritis as well as other knee injuries, use knee braces to get rid of the pain. Knee braces support the joints of the knee to prevent injuries. These are used for rapid recovery after surgery and for knee joint therapy. Knee braces are made from a combination of plastic, metal, straps, foam, and elastic materials. These braces are available in different sizes, designs, and colors. How do knee braces help in maintaining health? Some warm-up exercises before a low-impact exercise can include a knee brace to prevent injury. A simple exercise like standing up where you walk up and down a set of steps to warm up your heart and leg muscles would be a bit easier if you do it while wearing a knee brace. An effective knee brace is often important to keep the leg muscles and ligaments in good shape. However, if you don't wear the right shoes, you may be doing more harm. A knee brace will also help in improving an individual's posture. It may not be apparent at first, but knee pain can affect the posture in ways that can damage the backs. Ideally, the head has to be balanced over shoulders, while hands are centered over the abdomen and pelvis. Some of the most prominent knee braces applications: Arthritis Osteoarthritis is a chronic disorder that affects the entire joint. It is mainly known as a form of wear-and-tear arthritis that usually causes a problem to the knees of older people. The condition often affects one side of a patient's knee compared to the other one. This uneven damage will cause the knee to align (malalignment) imperfectly, which can make a person look knock-kneed or bow-legged. No matter what type of arthritis a patient has, whether it is inflammatory or degenerative (OA), the knees are likely to be affected at some point. Assistive devices, such as knee braces, can help ease discomfort and prevent medication-free mobility. Arthritis knee braces are suitable for alleviating osteoarthritis knee pain as well as other knee symptoms. They also help with knee stabilization when walking and help promote patient mobility. Ligament The knee is the highest joint in the body and one of the most complicated ones too. The knee is important for the movement of your body. Sprains or tears in the ligaments of the knee are most common in athletes. Initially, when an athlete ripped a knee ligament, it would be the end of their career; many athletes are now able to return to their sport even after a knee ligament injury. Knee braces vendors provide a range of knee ligament braces that can assist with the recovery process. Wearing ligament knee braces can help prevent damage to the Anterior Cruciate Ligament or help support the knee after an ACL tear or injury. A brace specifically designed to protect your ACL decreases the amount of time the ACL is in an "at-risk" position for tearing. Ligament knee braces are lightweight and sturdy, designed to keep an athlete in the game. Sports Sports knee braces offer effective protection from excessive strain. Owing to gentle compression, the Sports knee support increases the capacity of the knee to control movement at the time of longer sporting activities. At the same time, the hard-wearing knee massages the tendons, ligaments, muscles and connective tissue, which in turn has a beneficial effect on the sensorimotor system. It combats the possibility of strain and injury, which means that the pain associated with prolonged pressure disappears more easily. In comparison to the sleeves, knee braces consist of one or two bars with hinges on the sides of the knee and straps to keep it in place. Although various kinds of hinged braces are available, they are all designed to improve stability by supporting the ligaments inside or outside the knee. Prophylactic knee braces have been designed to prevent damage in contact sports. Although these are widely worn and may lower the risk of injury among a certain subset of athletes (for example, football liners), it is not yet clear whether they are cost-effective or applicable to other categories of sports. Industry insights Mar-2018: DonJoy, a brand of DJO Global, introduced the X4 Smart Brace. It is the first knee brace for complete knee arthroplasty. The brace tracks patient compliance and recovery in real-time. The X4 Smart Brace, equipped with motion intelligence, is a cloud-based system. Jun-2018: Ossur launched the Össur Formfit® Pro line of 3D compressive knit solutions. This product range offers knit solutions for knees, ankles, elbows, wrists, etc. The Pro line was designed for people with different types of musculoskeletal disorders and conditions. Feb-2019: Breg, a subsidiary of Orthofix, launched Breg Quantum™ OA. It is the company's next-generation unloader knee brace for mild to severe osteoarthritis. This brace meets the needs of orthopedic surgeons looking for pain-relieving osteoarthritis brace that their patients can wear. Nov-2019: Otto Bock Healthcare introduced Agilium® Vantage, a low-profile, wrap-around knee brace product. This brace is crafted to provide long-term pain relief for patients with mild unicompartmental osteoarthritis (OA). The Agilium Vantage is now available for order in three sizes, enabling practitioners to minimize inventory and save on costs. To conclude The knee braces market is witnessing a significant rise in the worldwide market space due to various recently established estimated. To begin with, the World Health Organization estimated that more than 20% of the world’s population over 60 years of age, accounting for around 130 million people, will suffer from osteoarthritis by 2050. Free Valuable Insights: Global Knee Braces Market to reach a market size of USD 1.9 billion by 2025 The health and wider social costs of musculoskeletal conditions are substantial. Expenditure on musculoskeletal conditions is difficult to measure due to a wide range of musculoskeletal conditions and limits in health surveillance systems. Orthopedic surgical procedures, such as complete joint replacement, account for one of the highest hospital costs. |
KBV ResearchKBV Research blog offers latest business news, trends, industry analysis and future predictions updated across multiple domains round the globe. Archives
September 2023
Categories
All
|