If we look at North America and Europe, we will find subtle differences in how the same concept is measured in each place. And we are not referring to the unit of measurement (miles or kilometers), but to such everyday facts as measuring car consumption and printer cartridge yield. Do you want to know more…?
Did you know …….?
Smart society 5.0. is dawning in the land of the rising Sun.
The super-smart society is a connected model, where Big Data, IoT, AI and robots are integrated to create a digital and physical infrastructure that improves the quality of life of citizens. How far do you want to go with this new model of society …?
By 2065, people over the age of 65 will account for 38.4% of Japan’s population, reducing the workforce and increasing medical and social costs.
For this reason, the Japanese plan focuses on robotic medical technologies and assisted living care, especially for the elderly, with a focus on mobility and health and social care.
The new society will be hyper-connected and more efficient in integrating the most advanced technologies, necessitating industrial and economic growth based on AI, IoT and robotics, leading to a future smart society.
In rural areas, inhabitants will be able to move around in autonomous cabs and buses: there will also be drones for e-commerce delivery, with efficient services in areas with low labor force and an aging population as well.
To prevent infrastructure deterioration, AI, robots and sensors will be used for the maintenance of buildings, roads, bridges, etc. In addition, urban space will be more efficient and accessible as the smart city integrates physical devices, such as sensors, with information and communication technology (ICT), creating a whole interconnected network (IoT).
Monetary transactions will be solved thanks to blockchain technology and open app programming interfaces, without cash payment.
The most significant thing about the 5.0 society as opposed to the information society (4.0) is that the analysis of Big Data leaves it in the hands of the potential of AI. It will be the first time in history that AI will shape the physical-digital ecosystem with the help of human intervention.
In short, the 5.0 society aims to combat Japan’s progressive aging, a problem that is not unique to Japan. Technology will interconnect the digital and the physical to improve the quality of life of its inhabitants, accompanied by the economic growth necessary to create technological solutions to social, demographic and economic problems.
Nubeprint has developed the concept of a data collector ecosystem. It is a whole library of DCAs that have the same purpose: to read status and usage data from the printer and transport it in the most convenient way to the place where it needs to be used.
Currently, Nubeprint has DCAs for LAN, WIFI and USB connected printers; laser and inkjet printers and multifunctional equipment; Ribbon, thermal, large format and 3D printers; also DCAs for scanners PCs, servers, tablets, smartphones, smart TVs and Raspberry.
Source: revistanuve.com/ Nubeprint
For this reason, the Japanese plan focuses on robotic medical technologies and assisted living care, especially for the elderly, with a focus on mobility and health and social care.
The new society will be hyper-connected and more efficient in integrating the most advanced technologies, necessitating industrial and economic growth based on AI, IoT and robotics, leading to a future smart society.
In rural areas, inhabitants will be able to move around in autonomous cabs and buses: there will also be drones for e-commerce delivery, with efficient services in areas with low labor force and an aging population as well.
To prevent infrastructure deterioration, AI, robots and sensors will be used for the maintenance of buildings, roads, bridges, etc. In addition, urban space will be more efficient and accessible as the smart city integrates physical devices, such as sensors, with information and communication technology (ICT), creating a whole interconnected network (IoT).
Monetary transactions will be solved thanks to blockchain technology and open app programming interfaces, without cash payment.
The most significant thing about the 5.0 society as opposed to the information society (4.0) is that the analysis of Big Data leaves it in the hands of the potential of AI. It will be the first time in history that AI will shape the physical-digital ecosystem with the help of human intervention.
In short, the 5.0 society aims to combat Japan’s progressive aging, a problem that is not unique to Japan. Technology will interconnect the digital and the physical to improve the quality of life of its inhabitants, accompanied by the economic growth necessary to create technological solutions to social, demographic and economic problems.
Nubeprint has developed the concept of a data collector ecosystem. It is a whole library of DCAs that have the same purpose: to read status and usage data from the printer and transport it in the most convenient way to the place where it needs to be used.
Currently, Nubeprint has DCAs for LAN, WIFI and USB connected printers; laser and inkjet printers and multifunctional equipment; Ribbon, thermal, large format and 3D printers; also DCAs for scanners PCs, servers, tablets, smartphones, smart TVs and Raspberry.
Source: revistanuve.com/ Nubeprint
To prevent infrastructure deterioration, AI, robots and sensors will be used for the maintenance of buildings, roads, bridges, etc. In addition, urban space will be more efficient and accessible as the smart city integrates physical devices, such as sensors, with information and communication technology (ICT), creating a whole interconnected network (IoT).
Monetary transactions will be solved thanks to blockchain technology and open app programming interfaces, without cash payment.
The most significant thing about the 5.0 society as opposed to the information society (4.0) is that the analysis of Big Data leaves it in the hands of the potential of AI. It will be the first time in history that AI will shape the physical-digital ecosystem with the help of human intervention.
In short, the 5.0 society aims to combat Japan’s progressive aging, a problem that is not unique to Japan. Technology will interconnect the digital and the physical to improve the quality of life of its inhabitants, accompanied by the economic growth necessary to create technological solutions to social, demographic and economic problems.
Nubeprint has developed the concept of a data collector ecosystem. It is a whole library of DCAs that have the same purpose: to read status and usage data from the printer and transport it in the most convenient way to the place where it needs to be used.
Currently, Nubeprint has DCAs for LAN, WIFI and USB connected printers; laser and inkjet printers and multifunctional equipment; Ribbon, thermal, large format and 3D printers; also DCAs for scanners PCs, servers, tablets, smartphones, smart TVs and Raspberry.
Source: revistanuve.com/ Nubeprint
In short, the 5.0 society aims to combat Japan’s progressive aging, a problem that is not unique to Japan. Technology will interconnect the digital and the physical to improve the quality of life of its inhabitants, accompanied by the economic growth necessary to create technological solutions to social, demographic and economic problems.
Nubeprint has developed the concept of a data collector ecosystem. It is a whole library of DCAs that have the same purpose: to read status and usage data from the printer and transport it in the most convenient way to the place where it needs to be used.
Currently, Nubeprint has DCAs for LAN, WIFI and USB connected printers; laser and inkjet printers and multifunctional equipment; Ribbon, thermal, large format and 3D printers; also DCAs for scanners PCs, servers, tablets, smartphones, smart TVs and Raspberry.
Source: revistanuve.com/ Nubeprint
Source: revistanuve.com/ Nubeprint
Did you know …….?
Nubeprint launches the new Console 23 for ASR.
In the printing industry, not all customers want an MPS contract, many are satisfied with receiving the consumables on time and paying directly for the consumed cartridges or toners. It is for this reason that Nubeprint has just launched its Console 23 product on the market, a panel to manage automatic consumable replenishment only. Do you want to increase your sales and reach the end customer…?
When you have a monitoring system, it is common practice to include in the control panel all printers with an MPS contract and, for the most part, those customers who do not have a contract, and have a significant number of machines as well as those with one or very few printers, are usually left out of the monitoring.
This means that consumable replenishment is not automated and management is old-fashioned: either the customer claims the consumable when he thinks he is low on supplies (or, worse, when he has run out); or the distributor is waiting to contact his customer to see how many consumables he needs, it being common practice to send several extra at a time so that his customer has a small local stock (this is often fatal because consumables are lost).
Nubeprint’s new Console 23 provides a definitive and competitive solution for managing non-contract customers who require consumable replenishment, automating the entire process and avoiding headaches. This new product consists of a control panel that includes the necessary apps for ASR:
– App Inventory, with all the information of the monitored printers (manufacturer, model, serial no., etc.).
– Consumable Alerts App, which shows all the cartridges whose level has reached the defined threshold and will soon have to be replaced in the printer.
– Settings App, which allows you to easily enable or disable alerts, change the recipient of notifications and rename or delete a project.
– OpenDCA App, which allows you to manage the multiple data collectors (DCA) you use to monitor your customers’ printers. A state-of-the-art configuration console to remotely modify the DCA’s configuration used to read the network.
The new Console 23 allows ASR management of up to 1,000 printers, with a fixed annual price well below what you are thinking, which also includes the first 30 consumables alerts. Once these have been consumed, successive alert packages can be purchased, with a minimum of 30.
In addition, thanks to the new Nubeprint App (with more than 1,000 downloads per month), the end customer can register and link directly to the service of the Nubeprint-licensed reseller who has given them their promotional code (in less than 3 minutes, the customer’s printer/s are monitored through the Nubeprint DCA for smartphone).
We think that the Console 23 is the ideal product for any distributor who wants to increase their ASR sales and reach all types of end customers (home, teleworker, dentist, agency, law firm, real estate, etc.). If you already have a Nubeprint license with your usual panel, the Console 23 can be a perfect complement for automatic consumable replenishment. If you are not yet working with us…what are you waiting for not to miss this great opportunity…?
Source: Nubeprint
Did you know …….?
Smart Cities go hand in hand with ICT and IoT.
A smart city needs Information and Communication Technologies (ICT) and an intelligent network of connected objects that transmit data in real time (IoT). This data is analyzed to make decisions that improve the quality of life and sustainability. How does this network really work…?
Smart City citizens interact daily with their city’s ecosystems through the use of smartphones and mobile devices. This interconnectedness reduces costs and improves sustainability, from efficient energy distribution to optimizing air quality.
Environmental, social and economic sustainability is vital to keep pace with the population growth of cities that are challenging available resources. Nearly 200 countries have agreed to the Sustainable Development Goals (SDGs) and smart city technology is paramount to their fulfillment.
There are four essentials for the success of Smart Cities:
1. pervasive wireless connectivity – In addition to low power wide area network (LPWAN) technologies, 5G technology will be critical to the expansion of smart cities.
2. Open data -The ecosystem will allow information to be shared and combined with data that is analyzed in real time for decision making. However, the openness of the Data vault increases the possibility of cyber-attacks.
Security – All players in the ecosystem (governments, companies, software providers, etc.) must integrate authentication solutions that guarantee data sharing.
4. Flexible monetization schemes – Subscription-based models enable sustainable commerce by providing a way to monetize the hardware and software used to build smart infrastructures and spread the costs.
In short, Smart Cities technology is expanding to improve sustainability. With pervasive connectivity, open data, security and software monetization solutions, the varying needs of smart cities are being addressed, improving the experience for all players in the ecosystem.
Cloudprint complies with the most stringent security and data protection regulations, as well as not being intrusive or leaving access ports open unnecessarily, preventing cyber-attacks. It has also adopted a combination of usage-based and subscription-based models, known as usage-based subscriptions. Customers pay a fixed monthly fee with no commitment of permanence for a minimum configuration (for an additional charge, more apps can be flexibly added ). In terms of sustainability, Nubeprint promotes the circular economy, with A.I. applied to optimizing resources and reducing waste, complying with the SDGs.
Sources: thalesgroup.com/ Nubeprint
Did you know …….?
Nubeprint has an extensive collector ecosystem.
On the seabed of the North Sea off the coast of Denmark, the first CO2 reservoir has been established that will store this unwanted gas produced from the manufacturing process. The process is simple and efficient: in the factory itself that generates it, the CO2 is converted to liquid form for transport, via heating, then compressing and finally cooling the CO2. Is it a complete process or is something missing…?
The result is CO2 in liquid form: easy to transport and store. It is transported by gas tankers from the coast to the platform of a former oil well, now exhausted. It is then injected into the subsoil to occupy the place where, until not so long ago, the black gold lay.
We said that everything is in place to make this practice commonplace in order to neutralize CO2 emissions. We correct: the sensors are missing. In a process of this scale, which involves different industries, countries and legislations, it is critical to have information on each phase (how much CO2 an industry emits, how much is captured, etc.).
In the printing industry, we were part of the revolution that involved creating the first sensor capable of capturing data on the use and status of printers installed remotely. This sensor, later baptized DCA (Data Collection Agent), gave rise to a new business: the MPS (Nubeprint has a lot to say because its engineers and founders were the ones who dreamed of this technology and made it a reality with the first patent in 2000).
But, as with CO2 capture and storage, in printing a single sensor is not enough, quite the contrary. As the sensor is the secure connection between the source of the data (which is located next to the printer user) and the place where the data is to be used (the supplier of the printing products), it is very unlikely that a single sensor can be adapted to the requirements of each and every one of the printing customers (the requirements of a bank with thousands of printers are not the same as those of a dentist’s practice with a single printer).
For all these reasons, Nubeprint has developed the concept of a data collector ecosystem. This is a whole library of DCAs that have the same purpose: to read the printer status and usage data and transport it in the most convenient way to the place where it needs to be used.
Currently, Nubeprint has DCAs for LAN, WIFI and USB connected printers; laser and inkjet printers and multifunctional equipment; Ribbon, thermal, large format and 3D printers; even DCAs for scanners; also DCAs for PCs, servers, tablets, smartphones, smart TVs and Raspberry.
We are aware that our developments position our customers competitively and that they are also their gateway and the basis for the expansion of new business. For this reason, Nubeprint never stops researching, dedicating year after year 30% of its turnover to R+D+I activities.
Sources: Nubeprint.com
Did you know …….?
AI searches for extraterrestrial signals.
The SETI Institute has been searching for intelligent life beyond Earth since the 1960s. Recently, it has implemented a series of machine learning algorithms to filter the Big Data generated from telescope observations. Is there life in “a Galaxy far, far away…”?
AI is all the rage: from Chat GPT to the recent petition by 1,000 scientists calling for a 6-month waiting period for AI, which is going too fast. Artificial Intelligence is here to stay and is capable of solving in seconds what would take a human being days, months or even years of effort and dedication.
The SETI Institute has developed a system of machine learning algorithms, based on AI, that filters out interference from terrestrial signals and is able to detect unknown space signals. This AI system also aids in the analysis of Big Data obtained from telescope searches and, perhaps, in finding extraterrestrial life.
Since 2015, SETI has been searching for signs of intelligent life in a million stars through observations from telescopes installed in Virginia (USA), Australia and South Africa. The project aims to capture radio emissions coming from the direction of a star and constantly changing frequency (just as would happen if an extraterrestrial transmitter were on a planet moving relative to Earth).
Machine learning software was built to analyze the data from observations of 820 stars. Nearly three million signals were captured, but the vast majority were discarded as terrestrial interference. Then, about 20,000 others were manually reviewed and the hope was reduced to 8 signals of unknown origin.
Ultimately, the search was unsuccessful: all 8 signals disappeared the second time the team searched for them. However, this method could be used to analyze more Big Data (such as observations from the MeerKAT array of 64 radio telescopes in South Africa), plus the algorithms could also filter archived data to look for signals that might have been missed.
Nubeprint has a managed MPS solution with dynamic algorithms and filters.
In 2013, it developed the first A.I. engine for MPS and, since 2017, it has a Machine Learning (ML) developed specifically for MPS: through this machine learning, the system develops pattern recognition and the ability to learn continuously, with predictions based on Big Data, after which it makes the necessary adjustments without having been specifically programmed to do so.
Source: abc.es/science/Nubeprint
The SETI Institute has developed a system of machine learning algorithms, based on AI, that filters out interference from terrestrial signals and is able to detect unknown space signals. This AI system also aids in the analysis of Big Data obtained from telescope searches and, perhaps, in finding extraterrestrial life.
Since 2015, SETI has been searching for signs of intelligent life in a million stars through observations from telescopes installed in Virginia (USA), Australia and South Africa. The project aims to capture radio emissions coming from the direction of a star and constantly changing frequency (just as would happen if an extraterrestrial transmitter were on a planet moving relative to Earth).
Machine learning software was built to analyze the data from observations of 820 stars. Nearly three million signals were captured, but the vast majority were discarded as terrestrial interference. Then, about 20,000 others were manually reviewed and the hope was reduced to 8 signals of unknown origin.
Ultimately, the search was unsuccessful: all 8 signals disappeared the second time the team searched for them. However, this method could be used to analyze more Big Data (such as observations from the MeerKAT array of 64 radio telescopes in South Africa), plus the algorithms could also filter archived data to look for signals that might have been missed.
Nubeprint has a managed MPS solution with dynamic algorithms and filters.
In 2013, it developed the first A.I. engine for MPS and, since 2017, it has a Machine Learning (ML) developed specifically for MPS: through this machine learning, the system develops pattern recognition and the ability to learn continuously, with predictions based on Big Data, after which it makes the necessary adjustments without having been specifically programmed to do so.
Source: abc.es/science/Nubeprint
Ultimately, the search was unsuccessful: all 8 signals disappeared the second time the team searched for them. However, this method could be used to analyze more Big Data (such as observations from the MeerKAT array of 64 radio telescopes in South Africa), plus the algorithms could also filter archived data to look for signals that might have been missed.
Nubeprint has a managed MPS solution with dynamic algorithms and filters.
In 2013, it developed the first A.I. engine for MPS and, since 2017, it has a Machine Learning (ML) developed specifically for MPS: through this machine learning, the system develops pattern recognition and the ability to learn continuously, with predictions based on Big Data, after which it makes the necessary adjustments without having been specifically programmed to do so.
Source: abc.es/science/Nubeprint
In 2013, it developed the first A.I. engine for MPS and, since 2017, it has a Machine Learning (ML) developed specifically for MPS: through this machine learning, the system develops pattern recognition and the ability to learn continuously, with predictions based on Big Data, after which it makes the necessary adjustments without having been specifically programmed to do so.