Machine Learning and Business Intelligence are complementary but different.
These two A.I. disciplines are often used in the business world, but they have significant differences in their approach and objectives. How to distinguish one from the other…?
BI focuses on the collection and analysis of business data in order to improve decision making and operational efficiency. It uses specialized techniques and tools to transform data into useful information and present it in a clear and accessible way. Its approach is more structured and systematic, relying on historical data to make predictions and decisions.
On the other hand, ML develops systems that can learn and improve themselves through the analysis of large amounts of data. Instead of relying on predefined rules and algorithms, these systems use machine learning techniques to identify patterns and trends in the data and make decisions based on them. ML is a more dynamic and flexible discipline, and can be used to solve a wide variety of problems, from predicting the price of a product to fraud detection.
What are the two main differences between BI and ML?
1.The approach – While BI focuses on collecting and analyzing historical data to improve decision making, ML is based on developing systems that can learn and improve themselves through data analysis. This means that ML is better suited for solving problems that change over time or are difficult to define precisely, while BI is better for more structured and predictable problems.
2. The amount and type of data used – BI works with structured data, i.e., data that is organized in a clear and easily accessible way (sales or inventory records, for example). ML, on the other hand, is able to handle large amounts of unstructured data (images or text, for example) and can extract valuable information from it.
In short, ML and BI are two branches of A.I. that differ in approach and type of data used, both being indispensable in any area for decision making and operational efficiency.
Nubeprint offers a managed MPS solution with dynamic algorithms and filters. In 2013, it develops 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.
Nubeprint invests 30% of its resources in R&D&I, currently developing BI systems, and obtained at the end of 2022 the Innovative SME certificate (Innovative SME, AENOR EA 0047).
Telecommuting is regulated in every corner of the planet.
The rise of remote work due to the pandemic has generated a new reality that needs to be legislated. More and more countries are seeking to bring it into line with the new office model. What are the highlights of this new regulation…?
The EU advocates that policies on telework should consider productivity and quality of work, in addition to workers’ work-life balance.
The regulation of remote work should promote the professional development of its employees, which requires some technological investment (only 38% of European SMEs will undertake it).
In Portugal they have the Green Paper on the Future of Work, which has created legislation appropriate to the new remote models and have attracted many of the digital nomads.
German companies are obliged to give the option of remote working (where possible) and the works council must be consulted before introducing remote working.
Ireland aims to bring hybrid work to all relevant sectors within a short period of time. As in Germany, companies must demonstrate the existence of an insurmountable pretext for refusing a request for remote working. In addition, they must provide the appropriate equipment to conduct the work at home.
In Russia, companies must provide the equipment and means for telecommuting, such as office chairs or the necessary software.
How is remote work regulated in Spain?
Royal Decree-Law 28/2020 sets the basis when it involves a minimum of 30% of the working day. It establishes the following types:
1. Remote work: the work activity is carried out on a regular basis at home or other locations on a full or part-time basis.
2. Telework: remote work involving the use of computer/technological systems.
Among the most salient points of teleworking we have:
1. It has to be voluntary, reversible and maintaining the same rights (you can return to the face-to-face system without penalty).
2º. The work schedule will be documented to confirm its fulfillment.
3º. The employee will be entitled to financial compensation for expenses incurred (internet access, for example).
4º. The right to digitally disconnect outside working hours (the company will limit the use of technological means during rest periods).
In short, the telework legislation extends globally, and the employee needs the means to exercise the activity from home, such as a laptop, monitor or printer. In this case, it is essential to always have consumables available so as not to be left at a standstill.
The Nubeprint App allows remote monitoring of printers once the employee connects his smartphone to the wifi and the printer is on the same network. In this way, thanks to consumable alerts, the employee will receive the new cartridge or toner before running out, avoiding disruptions in the performance of their work.
* This article was not written by ChatGPT but by Nubeprint.
The new Nubeprint app monitors any printer easily and simply.
How many apps do we use frequently? The bank app, the health insurance app, Uber, Glovo, the car charging points app, the home alarm app, and so on? There is no doubt that downloading an app on our smartphone makes our lives easier and allows us to carry out any management with just a few clicks. What is the new Nubeprint app about?
Many of us telework and have a printer at home, and all of us, without exception, have been in the unpleasant situation of running out of cartridge/toner when we needed it most. If only there was an app, since there are so many, that would guarantee delivery of the consumable before it ran out.
Yes, Nubeprint has such an app…! Thanks to its DCA for smartphone, unique in the market, the user’s printer is monitored by its printing expert, who will alert the user in time so that he never runs out of consumables and receives the correct reference, achieving the fundamental objective: that the printer never stops working.
Nubeprint app is very easy to install, does not commit the user until the consumables service is closed with the print expert and is not intrusive.
How does it work?
1º. Download Nubeprint app on your mobile (free):
Play Store: http://bit.ly/41Zj3P3
App Store: https://apple.co/3YvKmO5
2º. Open the app and click on “Register”.
3º. Enter name and email (WhatsApp, optional)
4º. In the search engine, type the promotional code or the initials of the supplier.
5º. As soon as the user is in the same location as the printer (turned on and on the same network/Wifi as the cell phone), the printer will be monitored by the printing expert.
What are the advantages of the app for the user?
1ª. Print whenever you want without worrying if there is any ink left.
2ª. Know who to call if there is an incident with the printer.
3ª. Not wasting time looking for who sells the cartridge/toner you need.
Nubeprint app monitors the printers and automates the management of consumables and any necessary maintenance so that the printer always works properly. It is installed by the user on the smartphone and is compatible with any type or class of printer that has a Wi-Fi or network connection.
Nubeprint values privacy: we comply with the strictest standards on data protection and security: our app does not capture any data from the cell phone or collect information about the documents that are printed, one more reason for the user to have peace of mind and to be able to use the printer at all times without any problems.
Civil registration, census, land registry… And what about the many apps, such as the bank’s, where we are asked for everything…? We download apps every day, but we like that the registration process is neither long nor complex: How many times have we left it halfway through because of the amount of data that we are asked to fill in? Is it really not possible to make it a little easier…?
We are increasingly lazy to register anywhere: it has to be really important (because it is a mandatory legal requirement, for example) or some app that catches our attention and suits us (as long as it doesn’t complicate our lives by filling in all kinds of forms).
We live in a dynamic world and time is money, we are not here to waste it with obstacles or complicated registrations that, in addition, often ask us for data that make us fear for our privacy.
Isn’t there any simple, fast registration that doesn’t even ask for my ID card? Well, there is! We are talking about the new Nubeprint app.
Any end customer (domestic, teleworker, SME, law firm, dentist, agency, etc.) who wants to monitor their printer of any brand or type from their smartphone, can do it in less than 3 minutes, step by step:
1º. Download Nubeprint app on your mobile (free):
Play Store: http://bit.ly/41Zj3P3
App Store: https://apple.co/3YvKmO5
2º. Open the app and click on “Register”.
3º. Enter only the name and email (Whatsapp, optional)
4º. In the search engine, choose the supplier that will provide the consumables sales service (enter the zip code where you live, or the promotional code provided by your printing expert).
5º. Once you are at the location of the printer (turned on), connect your smartphone to the same network/ wifi as the printer. From then on, the chosen supplier will now be able to monitor the printer.
The customer does not make any commitment until the supplier contacts them to explain their services. If an agreement is reached, the service is activated, and the supplier will receive cartridge alerts so that the monitored printer will never be down.
The interface that appears on the customer’s smartphone is very simple and intuitive: the supplier’s logo appears, they can access the supplier’s website at any time to view their products, create technical alerts and request assistance when needed.
The print expert monitors the status of the printer and will alert the customer before the cartridge/toner/drum (any of the consumables that the printer has) runs out, offering the correct reference, at a good price (even with special offer or discount), with warranty and always on time.
In addition, Nubeprint complies with the strictest standards in terms of data protection and security, certified by 7 international organizations, so the customer can be rest assured about the privacy of the data on their smartphone and those documents you print.
Finally, it only remains for us to say that Nubeprint exclusively owns the patent of the DCA integrated in the app for iOS or Android cell phones: it is the only software on the market that allows one to monitor printers via smartphone.
ChatGPT is the virtual A.I. robot that is all the rage and on everyone’s lips.
At the end of November last year, a new A.I. program appeared and was soon considered a technological milestone: ChatGPT. What does it consist of and how does it affect learning and creativity…?
“I am ChatGPT, a large-scale artificial language model trained by OpenAI. I have been taught to process natural language and respond to questions and requests on a variety of topics. I am designed to have meaningful conversations and provide useful and accurate information to users.” (This is how ChatGPT defines itself.)
So ChatGPT is a virtual robot (chatbot) that responds within seconds to a random request on any topic (“write a Charles Dickens-style story about the Thames in 400 words,” for example), writing a unique version. It is available in almost 100 languages.
Why is ChatGPT considered a breakthrough for A.I.?
A.I. programs based to date on large language models (LLM) work by storing large Data and algorithms to predict the best text. However, ChatGPT understands how language works thanks to reinforcement learning through human feedback (RLHF).
Is it a threat to learning?
Text-dependent fields, such as journalism, could be severely affected, and ChatGPT is capable of generating programming code, which also raises questions in this sector. But one of the most affected areas is education. Let’s see why:
1. Many students use the program for homework (it is already banned or limited in many countries).
2. In addition to “copy and paste”, there is a fear of the long-term impact on our brains, which have been slowly shrinking in size as a result of technological development.
3. Teachers should be aware of new technologies and integrate them into their activities, joining the current universe of students.
How will ChatGPT affect the future of human creativity and content production?
ChatGPT bases its answers on texts available on the Internet (news, books, etc.), so it can include ideas from authors without respecting intellectual property. In addition, ignorance of the sources can lead to fake news.
As algorithms are devices for generating combinations, the creative impulse could be reduced. But nothing could be further from the truth: they also generate patterns that could not even be imagined, thus enhancing our creativity.
In short, technology is a very powerful tool for expanding our knowledge, as we test countless variables in a short time. However, it can also be a threat to those who use these systems without questioning morals and ethics.
Nubeprint offers a managed MPS solution with algorithms and dynamic filters based on A.I. 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: bbc.com/ chat.openai.com/ Nubeprint.com
A.I. holds great surprises for us, such as the one in this article (don’t stop reading until the end…).
Artificial intelligence (AI) has advanced by leaps and bounds in recent decades, and has proven to be a transformative technology in many areas. From autonomous driving to healthcare, AI has shown great potential to solve complex problems and improve efficiency in a wide variety of industries. In this article, we will look at the current and future possibilities for AI.
Today, AI is already used in many areas, from manufacturing to healthcare. For example, machine learning algorithms are used in manufacturing to improve efficiency and reduce costs. In healthcare, AI is used to identify patterns in patient health data, which helps doctors make more informed decisions about treatment and disease prevention.
In the future, AI will continue to transform our lives in even more profound ways. One of the most exciting possibilities is autonomous driving. Technology and automotive companies are investing heavily in the development of autonomous vehicles that can drive safely and efficiently on our roads. This could have a major impact on road safety, as most car accidents are caused by human error.
Another interesting possibility is the automation of jobs that are currently performed by humans. For example, customer service tasks could be performed by intelligent chatbots that can answer common questions and solve simple problems. This could free up customer service employees to focus on more complex problems and increase overall business efficiency.
In addition, AI could help solve some of the biggest global challenges, such as climate change and resource scarcity. For example, machine learning algorithms can be used to optimize renewable energy production and improve the energy efficiency of buildings. They can also be used to improve water resource management and prevent deforestation.
However, there are also concerns about the potential negative impacts of AI on society. For example, some fear that the automation of jobs could lead to a large amount of unemployment. There are also concerns about privacy and data security, as AI algorithms can collect and analyze large amounts of personal information.
In conclusion, AI has the potential to transform our lives in exciting and positive ways in the coming years. From autonomous driving to healthcare, AI is already making a big difference in many areas. However, it is also important to be aware of the potential negative impacts of AI and work to mitigate them. If used responsibly and ethically, AI can be a valuable tool in solving some of the biggest challenges facing our society.
* Article written as is by ChatGPT (chat system based on the GPT-3 AI language model, developed by the company OpenAI).
Nubeprint offers a managed MPS solution with dynamic algorithms and filters. In 2013, it develops 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: chat.openai.com/chat/ Nubeprint
In our daily lives, we need to know what time we set the alarm clock, what day and time we have a dentist appointment, when our child gets out of school depending on what activities he/she is doing, etc. In the business world, we need to make payments, place orders with suppliers, make predictions about sales and product requirements, but above all, we need to respond to customer needs on time. In the absence of regular, even weekly planning: Would it be good to know what day our customer needs the order/service and make a prediction in days…?
Nowadays, there is no company that does not have a management system in place to develop its activity efficiently, from placing orders with suppliers to arriving on time to the final customer.
Increasingly, A.I. systems are being used to analyze all the data available to the company in order to optimize management based on predictions, including customer profiles (age range, needs, consumption timing, etc.).
When we drive our car, the GPS tells us how to get there and how long it will take us. The vehicle’s own system tells us how many kilometers of autonomy we have left to refuel and at which location along the route we can do so.
When it comes to a printer monitoring system, time management is vital so that the customer always has the right consumable before the previous one runs out. Consumable alerts usually set a warning threshold when there is 20% of the consumable left. What if we could set the threshold in days and group the shipment of orders? This, which is no small thing, is only possible with Nubeprint. Its system gives the possibility to select in % or on days when we want the alert to be triggered, even differentiating the consumables of the same printer. By doing so, we will be safe from sudden drops in the consumables load, as happens in those brands of printers that only give sections in % (100, 75, 50, 25 and 0), where it is impossible to foresee the customer’s need.
We will also adjust delivery according to the type of customer: if it is a cost-per-copy contract, we want the consumable change to be made at the right time, avoiding waste; if we know that our customer will install the consumable as it arrives, it is better to send it a couple of days before the previous one runs out.
In addition, by marking the threshold in days, the Nubeprint system makes it possible to group the shipments of a specific customer on a single day of the week, thus optimizing delivery management, avoiding several shipments to the same customer in the same week and saving on costs.
In short, time management is paramount in any aspect of life and in any industry. The more accurate we are with our customer’s needs, the closer we will be to achieving a service of excellence, which will result in the prestige of our brand.
Unlike traditional programming, where the machine is given a set of specific instructions to perform a task, Machine Learning (ML) allows the machine to learn on its own… How is it possible to achieve this…?
ML is a branch of A.I. that deals with the study and development of algorithms and techniques that allow machines to learn and improve their skills autonomously without being specifically programmed to do so.
There are different types of ML, but in general they can be classified into two broad categories:
1. Supervised learning. This consists of providing the machine with a set of labeled data (already classified or categorized). The machine uses these to learn how to perform the classification task itself, and then is subjected to a set of unlabeled data to see how it performs.
2. Unsupervised learning is when the machine is given an unlabeled data set and left to discover patterns and relationships on its own.
A common example of ML is the automatic email spam filter. In this case, the machine learns to distinguish between unwanted emails (spam) and legitimate emails through the analysis of examples of each type of email.
Another example of ML is speech recognition as machines can learn to recognize and transcribe human speech very accurately. This is achieved by training the machine with a large set of recordings, then testing it with new voices to evaluate its accuracy.
ML is also used in health data analysis, weather prediction, social network trend analysis, and many other areas.
Although ML can be very useful, it also has some limitations. One of the main problems is the need for a large amount of labeled data of sufficient quality to train the machine, which can be costly and laborious to achieve.
Another limitation of ML is that it is sometimes difficult to understand how it arrived at a particular decision or prediction. This can be especially problematic in critical applications, such as medical diagnostics or financial analysis, where it is important to understand the decision-making process.
Despite these challenges, ML is increasingly becoming an integral part of many industries that are leveraging this machine learning to extract better quality information, increase productivity, reduce costs and get more value from their data.
Nubeprint, with 5 registered patents, offers a managed MPS solution with dynamic algorithms and filters. In 2013, it develops 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. Nubeprint, with a clear vocation for the future, is committed to technological advances and invests 30% of its resources in R&D&I, obtaining the Innovative SME certificate (Innovative SME, AENOR EA 0047) by the end of 2022.
SOURCE: tecon.es/ Nubeprint
The British capital has been promoting projects to become a more efficient and sustainable city for years. Why is it considered one of the best Smart Cities in the world, if not the first…?
By 2030, London will reach 10 million inhabitants. New technologies will help public services solve future challenges, especially on issues such as health or mobility.
Citywide 5G connectivity is one of the pillars for London’s Smart City, with free wifi access in streets and public buildings. A fiber optic network, in the transport network itself, will connect 400 km of tunnels, as well as roads and thousands of items of street furniture.
The number of connected devices will increase twelvefold by 2026 and the use of mobile data will increase by more than 30%, allowing SMEs to gain in productivity and the value of real estate to increase.
Data consultation is another key point, with free access to apps with information on shopping streets, the location of new schools and air quality measurements.
In relation to the environment, London manages the city’s energy data, identifying where and how to prioritize investment in green infrastructure, as well as having a smart platform that publishes data on the air quality of green spaces and the energy of buildings in the area, helping to control energy consumption and expenditure.
Other smart energy management systems are being tested in social housing, in addition to lighting systems and energy-saving switches.
In terms of mobility, the transport network has an open data portal and, through its unified API, enables the development of apps with innovative services and products regarding journey planning, service alterations and/or fares.
The British capital, which was the first major city to introduce an urban toll in 2003, also has a very low emission zone in the city center, with CCTV cameras to ensure compliance.
On its path to green energy, London is reusing the waste heat emitted by the subway thanks to new technologies. This lost energy could cover up to 38% of the city’s heating demand.
Finally, London intends to go hand in hand with businesses to accelerate its Smart City strategy, offering solutions to meet their needs and access to new technologies. This union will improve the quality of life of Londoners, both in terms of energy and environment as well as mobility and health.
Nubeprint has collaborated with the European Commission by supporting a sustainable printing model and leading actions such as the “1 Million Cartridges Initiative”. Its monitoring capacity allows to accurately check and measure the existence of circular economy procedures and the optimization of printing resources. It thus becomes an effective control that will enable your organization to achieve a neutral impact, comply with the SDGs and achieve excellence in its reputation as a sustainable brand.
SOURCE: theagilityeffect.com/ Nubeprint.com
Sustainability is becoming an instrument for solving problems that society has been dealing with for decades. One of them is mobility in large urban centers. Long commuting times to and from work and high air pollution have been seen as a cost of modernization. But now these ills are seen as unnecessary. And so some countries are already adopting labor legislation to promote sustainable transport schemes for employees.
How will these new regulations affect the productive fabric and teleworking?
Increasingly, sustainability is permeating all aspects of legislation, and soon it will be the turn of labor regulations. In doing so, it will promote a paradigm shift for both companies and their workers. In many countries, changes are being made to reduce or even eliminate carbon emissions resulting from employees’ commuting to work, while reducing the hours lost in traffic jams.
The new legislation seeks to generalize best practices by requiring companies over a certain size to promote the use of public transport and teleworking by their employees. Its wording takes into account the size of the population (the larger the population, the greater the current traffic and pollution problems, and therefore the greater the opportunity to reduce these problems) as well as the size of the company. Thus, in workplaces (public or private) with more than 1,000 workers located in areas with more than 500,000 inhabitants, measures would be included to reduce mobility during peak hours and promote the use of low- or zero-emission means of transport.
But as in any improvement process, it is necessary to establish indicators to show whether the impact obtained over time is the desired one. Corporations should periodically draw up a follow-up report on the level of implementation of the measures adopted. Collective bargaining agreements have been promoting transport initiatives for years with a focus on worker benefit and safety. Now it is a matter of encouraging such measures to facilitate sustainable transport with less time wasted by employees.
What are these initiatives?
1. Employee awareness plans.
2. Costing part or all of the transportation by public means to the employee.
3. Encouraging carpooling to the workplace.
4. Plan Renove to replace gasoline or diesel vehicles with electric vehicles.
5. Encourage teleworking as a coexistence of the traditional model.
6. Consider the time actually worked as the time spent commuting to and from work.
Nubeprint defends its strong commitment to sustainability in both labor and technology, complying with the SDGs (Sustainable Development Goals). Employees work 100% remotely, saving time and fuel (reducing CO2 emissions to zero), and are fully aware of the Nubeprint App as they download and use it themselves so that their printers are monitored and never run out of consumables. Thanks to our monitoring software, we reduce companies’ printing costs by minimizing waste, grouping shipments, boosting the circular economy of the cartridge and optimizing the useful life of the printer, complying with the most widely accepted sustainability criteria and in line with applicable regulations.
SOURCE: cincodias.elpais.com / Nubeprint.com
