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Big data: what is it and why is it important?

In the last few years you have surely heard or read something about Big Data, a term that is becoming more and more known. But do you know what it refers to? 

Don't worry, because we tell you what Big Data is and what is its importance. So read on and get ready to expand your knowledge.

What is Big Data

Big Data refers to the massive and complex set of data that is generated and transmitted in a fast way from different sources. 

And it is characterized by these pillars: volume, speed, variety, truthfulness and value.

Today Big Data is used in areas as diverse as medicine, agriculture, ecommerce, social networks and environmental protection..

And also in an almost infinite number of applications such as GPS systems, streaming subscription TV channels, smartwatches and humidity sensors. 

The concept of Big Data has evolved over the years. As technology advanced and more and more information was generated, the need arose to find efficient ways to manage and analyze this data. 

That is why more and more companies and organizations are using Big Data to make informed decisions and improve their processes..
In addition, the advent of IoT has also contributed to Big Data, as more devices connected to the Internet generate new data on usage patterns.

Why Big Data is important

Big Data can increase business operations, offer a more personalized service to customers, improve marketing campaigns, and, in general, contribute to more efficient decision making.

When a company, regardless of its industry, knows how to use its data, it gains a competitive advantage over those that do not, which facilitates its growth and market share.

How Big Data is used 

Big Data is a powerful tool that has revolutionized the way companies operate.. 

To use Big Data, you must first collect data from various sources, such as social networks, sensors and mobile devices. 

This data is then processed and analyzed to gain valuable insights into consumer trends, product performance and operational efficiency.

Benefits of Big Data 

Some advantages of using Big Data are:

  • Informed decision making.
  • Process optimization.
  • Personalization of products and services.
  • Fraud detection. 
  • Time and cost savings. 
  • Innovation and development of new products or services.

Types of Big Data

Big Data is classified into different types according to the structure and volume of the data. 

Next, we will explore two main categories of Big Data:

Structured and unstructured Big Data:

Structured data is information organized in tables and databases with defined fields and rows. 

These data are easy to process and analyze, as they have a predefined format. 

While unstructured data is information without a specific format, such as emails, images, videos or social networks. 

These data are more challenging to analyze due to their lack of structure and require specialized tools for processing.

Large volumes of data

Big Data is characterized by the enormous amount of data being generatedknown as big data. 

This data comes from a variety of sources, including social networks, IoT sensors, online transactions, facial recognition, electronic health records and search engine search information.
The large volumes of data present challenges in terms of storage, processing and analysis due to their magnitude. To address these challenges, innovative technologies and solutions are required to efficiently handle these immense amounts of information.

Big Data Applications

One of the main applications of advanced data analysis is the study of consumption patterns, with social networks being the tools used by brands to learn more about their consumers and connect with them.

In conclusion, Big Data is a constantly evolving field, and is expected to continue to grow and develop in the future. 

Hence, some emerging trends such as the Internet of Things, artificial intelligence and machine learning include Big Data to further enhance the ability to analyze and make the most of the data collected. 

Big Data is also expected to expand into new sectors and application areas.

The possibilities are endless and technological advances will continue to drive innovation and the generation of knowledge from data.

Tell us, do you already apply Big Data in your business?

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Artificial intelligence: everything you should know

In recent months, there is a hot, much talked about topic that is increasingly becoming part of our daily lives and an area in which companies across all industries are investing.

Yes, we are talking about artificial intelligence. In this article, we'll tell you everything you should know about it. 

What is artificial intelligence 

Artificial Intelligence, commonly abbreviated as AI, is the set of systems and combination of algorithms that aim to create intelligent machines that mimic human intelligence to perform tasks such as language recognition, decision making, translation or image design and that can improve according to the information they gather. 

Keep in mind, however, that AI is not intended to replace humans, but to enhance human capabilities and contributions. 

History and evolution of Artificial Intelligence

The history of artificial intelligence dates back to the mid-20th century, when scientists and mathematicians began to develop concepts and theories that laid the foundations for this discipline.

Alan Turing, one of the pioneers in the field, was the one who proposed a theoretical machine known as the "Turing Machine", which is considered to be the forerunner of modern computers and AI.

Since its inception, artificial intelligence has undergone significant advances. Initially, it focused on creating chess programs capable of competing against humans. 

However, as technology advanced, AI began to tackle more complex problems, such as image processing, machine translation and autonomous driving.

Today, artificial intelligence is in a process of rapid evolution thanks to advances in computational power, the development of more sophisticated algorithms and the massive availability of data.

Benefits and challenges of AI

AI has the potential to transform the way we work and live in today's world. 

Estos son algunos de los posibles potential benefits and dangers that artificial intelligence may pose:

Practical applications of AI in different contexts 

The uses of artificial intelligence are endless. The technology can be used in many different sectors, industries and contexts. For example: 

  • Health: The system is used for medical diagnosis, image analysis and early detection of diseases and to optimize hospital management.
  • Agriculture: AI is applied in crop monitoring, weather forecasting and productivity optimization.
  • Finance: Artificial intelligence is used in financial fraud detection, risk analysis and investment portfolio management. 
  • Personal digital assistants: Smartphones use artificial intelligence to provide personalized services. AI assistants answer questions and support users in organizing their daily routines smoothly.
  • Cybersecurity: Artificial intelligence systems can help recognize and combat cyberattacks based on pattern recognition and attack tracking.

Will an AI steal your job?

Common artificial intelligence will not replace all jobs, rather it will change the nature of some of them. 

In fact, artificial intelligence cannot work on its own, but needs people to train and use these tools.  

So instead of eliminating jobs, AI creates new fields and opportunities.

What is clear is that the one who will steal your job will be the professional who already knows how to leverage artificial intelligence to his or her advantage to be more productive through AI tools. 

The Future of AI

Artificial intelligence is not only impacting the future of every industry and people, it has also acted as the main driver for emerging technologies such as big data, robotics and IoT. 

In conclusion, artificial intelligence is undoubtedly one of the most powerful tools of our era, but it must always be seen as just that.

The real magic happens when we combine the processing power of machines with human depth, creativity and empathy. 

So instead of fearing its advance, take advantage of the myriad ways in which artificial intelligence is enriching our existence and helping us build a better future. 

And you, do you already use artificial intelligence in your life and business? 

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What is edge computing and why is it important

As the digital landscape continues to evolve, terms are emerging that are gaining significant importance. 

One of them is edge computing, a technology that defines and revolutionizes the way we interact with data, devices and the Internet.

As it is likely that you have heard this word, but are still not quite sure what it refers to, in this article we tell you what edge computing is and the potential it has for your company.

What is edge computing

Edge computing is a new computing architecture that decentralizes data processing and storage capacity from the cloud to devices close to users, such as routers, security cameras or connected cars. 

All of this enables faster and more efficient decision making by eliminating the latency associated with transferring data over long distances.

How edge computing works

Edge computing works by installing processing devices at the edges of the network. 

These devices can be small servers, routers or even mobile devices. 

When a device generates data, this data is sent to the nearest edge computing device, which processes it and then forwards it to the central data center, if necessary.

Benefits of edge computing

Edge computing has a number of advantages over the traditional way of processing data. Here are some of them:

  • Low latency in data processing: By bringing data processing and services closer to devices and end users, the need to send and receive information over centralized networks is eliminated, resulting in a significant decrease in latency, or delay, in data transmission.
  • Reduced bandwidth usage: Edge computing can also help reduce bandwidth usage by processing data locally. This is important for applications that generate large amounts of data, such as video streaming and autonomous vehicles.
  • Energy efficiency and resource savings: By avoiding the need to transfer large volumes of data over extensive networks, the bandwidth used is reduced, resulting in lower energy consumption.

In addition, by performing data processing on nearby devices or local servers, the load on traditional data centers is reduced, which in turn means savings in infrastructure and resources.

  • Improved flexibility. : Edge computing helps applications and services to be deployed and managed closer to users, minimizing the complexity of network configurations.

This is beneficial for applications that must respond to local conditions, such as traffic management and environmental monitoring.

  • Distribution: enabling the extension of hosting points and the use of different solutions in the cloud.

Differences between edge computing and cloud computing

Although edge computing and cloud computing share the goal of providing data processing and storage services, there are fundamental differences between the two approaches. 

While cloud computing centralizes resources on remote servers and requires a constant connection to the Internet, the edge computing decentralizes them and enables processing closer to the point of origin of the data. 

In addition, edge computing reduces bandwidth dependency and minimizes exposure to potential security breaches in the network.

Importance of edge computing today

Today, edge computing has become highly relevant due to the increasing volume of data generated by IoT devicesthe need for faster responses in critical applications and the demand for greater privacy and security in the processing of sensitive information. 

So edge computing helps maximize efficiency and minimize the costs associated with sending and processing large volumes of data, while improving latency and user experience.

Edge computing and IoT

The Internet of Things plays a key role in the expansion of edge computing.. 

The large number of connected devices and data generators in the digital age demands fast and efficient processing. 

So by integrating IoT with edge computing, data processing is decentralized, helping devices to perform analysis and decision-making tasks autonomously. 

This reduces the load on the cloud and optimizes latency as processing is performed at the edge of the network.

In addition to the Internet of Things, edge computing maintains a close relationship with other key technologies in the digital revolution. These include:

  • 5G.
  • Big Data.
  • Machine Learning.
  • Blockchain. 
  • Artificial Intelligence. 

In short, edge computing is much more than a passing trend and will continue to play a crucial role in digital transformation. And the convergence of IoT, 5G and the proliferation of connected devices will only amplify the importance of this technology.

Tell us, did you know what edge computing is? 

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Google Trends: what is it and how can it help your business?

Looking for ways to improve your online visibility and increase your sales? 

We know that in the ever-changing world of digital marketing, keeping up with the latest trends and tools is essential to the success of any business. 

One of the most valuable tools in this regard is Google Trends, as it provides you with invaluable information about search trends and online behavior patterns. 

In this article, we tell you what Google Trends is and how it can be a great ally for your company. 

What is Google Trends

Google Trends is a free marketing tool that allows users to explore and get information about search trends on Google. 

It also gives you the possibility to search for specific terms, know their popularity and trends, access trends in real time, see which topics are popular at that moment, as well as analyze the evolution of searches throughout the year and receive notifications about trends and relevant topics. 

What Google Trends is for

Google Trends is a very useful tool for businesses. You can use it to:

  • To know the most searched terms in the last year. If you are planning your marketing and sales strategy, this general report of Google Trends can give you clues about the most important topics in Costa Rica and internationally.
  • Identify current and future trends in your market. This information can be useful to make decisions about your company, what products or services to offer, how to market them or what audience to target.
  • Detect market opportunities. If you see that a topic is starting to become popular, it is a clear sign that there is a new business option.
  • Discover regions with high sales potential. With this option, you have the possibility to know in which places in Costa Rica or cities in the world are looking for your product or service the most.

You can then focus your marketing and sales efforts on those locations.

  • Monitor the competition. Google Trends can help you track your competitors, see what keywords they are using and how their search traffic is changing over time.

In this way, you will identify areas in which your own business should be optimized. 

  • Improve your marketing strategy. With Google Trends you will see which keywords are most popular and how they change over time.
  • Generate ideas for blog posts. Google Trends will help you find new and interesting topics for your target audience to find you through your blog. 

How to use Google Trends

You can access Google Trends for free, you don't even need a Google account to use it. 

All you have to do is go to the Google Trends website, enter any search term or topic in the search bar and select 'Search'.

Google Trends will display a graph reflecting the popularity of the search term over time.

You can also see the relevance of the search term in different countries, regions, segments and platforms.

Alternatives to Google Trends

Google Trends is a great tool to see search trends, but it's not the only one. Here are some alternatives to Google Trends that you can use::

  • Keywordtool.io: is a tool that generates keywords related to a term you enter. You can use Keywordtool.io to find new keywords for your website and marketing campaigns.
  • Ubersuggest: SEO platform that allows you to search for keywords relevant to your business and content ideas.

In addition, it shows you the search volume for each keyword, the keyword difficulty and the cost per click (CPC).

  • AnswerThePublic: This tool creates questions related to a term you enter. You can use AnswerThePublic to get ideas for content, as well as to identify keywords you are not leveraging.
  • Semrush: is more complete than Google Trends, Ubersuggest and Keywordtool.io.

This SEO tool makes it easy for you to search for keywords relevant to your business, as well as content ideas, competitor analysis and tracking your keyword positions in search engines.

  • SimilarWeb: provides data about a website's web traffic. So with SimilarWeb you will be able to see which keywords are sending traffic to a website and identify search trends in a specific sector.

In conclusion, Google Trends is a must-have tool for any online business, as it provides you with useful information about search trends and user behavior to make informed and strategic decisions for the growth of your business.

Tell us, did you know or have you used Google Trends?

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AIoT: the union between Artificial Intelligence and IoT

The Internet of Things (IoT) and artificial intelligence (AI) are two of today's most disruptive technologies. 

So the combination of the two, known as AIoT, has the potential to revolutionize the world as we know it.

What is AIoT

AIoT is the acronym for Artificial Intelligence of Things. 

And it refers to the combination of two technologies: Artificial Intelligence (AI) and the Internet of Things (IoT). 

This technology enables physical objects to be equipped with machine learning and decision-making capabilities, driving automation, efficiency and improved quality of life.

Hence, AIoT devices use artificial intelligence to learn from our behaviors, anticipate our needs and make decisions for us.

For example, virtual assistants such as Alexa and Google Home use AIoT to answer our questions, play music and control smart devices in our home.

How AIoT works

The AIoT process is divided into the following stages:

  1. Data collection: Physical objects connected to the IoT collect data about their environment. This data may include temperature, pressure or humidity
  2. Communication: IoT devices transmit the data collected through communication networks, such as wifi, bluetooth, or cellular networks, so that the information is available in real time.
  3. Data analysis: The data collected by the physical objects is sent to the cloud, where it is analyzed by AI algorithms, identifies patterns and learns to make decisions.
  4. Decision making: The Internet of Things: Physical objects connected to the Internet of Things use artificial intelligence algorithms to make decisions. For example, a smart thermostat can use AI to learn users' energy consumption habits and adjust the house temperature accordingly. Or an AIoT car might employ AI to avoid obstacles and drive safely.
  5. Actions: Depending on the decisions made, commands can be sent to IoT devices to perform specific actions, such as adjusting the temperature of an air conditioner, activating an irrigation system or sending security alerts.

AIoT applications

AIoT has a wide range of wide range of applications in various industries. Some of them are:

  • Health and personal care. 
  • Agriculture.
  • Industrial automation.
  • Transportation. 
  • Automated manufacturing.
  • Smart cities and smart homes.

Challenges of AIoT adoption

The adoption of AIoT is not without challenges that must be addressed to take full advantage of this technology. Here are some of the most relevant challenges that must be overcome::

  • Security and privacy: The combination of Artificial Intelligence and the Internet of Things generates a large amount of sensitive data that needs to be protected from possible cyber-attacks.

In addition, it is necessary to establish clear policies and regulations to ensure user privacy.

  • Interoperability and standards: The lack of common standards and the lack of interoperability between AIoT devices and systems make it difficult to integrate and exploit their full potential.
  • Complexity and cost: AIoT implementation involves a complex and costly infrastructure that can be an obstacle to its widespread adoption. 

It is therefore essential to find ways to simplify and reduce the associated costs.

  • Ethics and responsibility: AI in AIoT raises ethical questions, such as autonomous decision making and liability in case of possible errors. 

It is therefore essential to establish ethical principles and clear rules for their responsible application and to avoid undesirable consequences.

  • Lack of skills and training: AIoT technology requires trained personnel with specialized knowledge for its development, implementation and management.

The shortage of qualified professionals in this field may slow its adoption.

Overcoming these challenges will require the collaboration and commitment of the different stakeholders involved, such as companies, governments and organizations, to work together on viable and sustainable solutions that will drive the mass adoption of AIoT.

Future of AIoT: trends and prospects

AIoT is a powerful combination of evolving technologies in constant evolution that have the potential to transform the way we live, work and interact with the world. 

Its benefits in terms of efficiency, intelligent decision making and personalization are undeniable, and its applicability in various industries opens up a world of opportunities for innovation and progress in both personal and professional life.

Therefore its future looks promising with several trends and perspectives that will mark its development. Some of them are:

  • Progress in connectivity.
  • More relevance to data security and privacy. 
  • The rise of edge computing.
  • Increased sophistication of Artificial Intelligence algorithms.
  • Integration with other emerging technologies, such as augmented reality (AR), virtual reality (VR) and quantum computing.

What do you think of AIoT, and do you see it as having the potential to transform the world?

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Keys to integrate IoT in your business

The Internet of Things (IoT) has become a revolutionary technology that is transforming how businesses operate and deliver services. 

In fact, IoT is becoming more integrated every day and by 2025 it is expected that there will be 152,200 IoT devices connected to the internet per minute.

In this article, we tell you some keys to implement IoT in your business and how you can make the most of this technology.

Different ways to incorporate IoT in your business

There are many ways to incorporate the Internet of Things into your business. Here are some of the most common applications: 

  • Asset monitoring: IoT devices can be used to monitor the status of a company's assets, such as equipment, inventory and products, identify problems before they become costly failures and improve supply chain efficiency.
  • Automation of processes and tasks: Using IoT devices will free up your employees' time to focus on more strategic tasks and reduce errors.
  • Improved safety: IoT devices can be used to strengthen a company's security by monitoring access to facilities, detecting intruders and preventing accidents.

Challenges when implementing IoT in your business

There are many potential benefits of implementing IoT in your business such as increased operational efficiency, data-driven decision making, improved customer experience or supply chain optimization. 

However, there are also challenges you should consider before implementing IoT in your business. Some of these challenges include:

  • IoT is an expensive technology to implement. So consider the cost of the devices, infrastructure and software needed to create an IoT network.
  • The Internet of Things collects a wealth of data about your customers. Be sure to comply with privacy laws and obtain your customers' consent before collecting or using their data.
  • It can be a technology vulnerable to cyber attacks, so try to take steps to protect your IoT network from attacks, such as using firewalls and encryption.

Steps to integrate IoT in your company

If you're thinking about incorporating IoT into your business, here are some tips to help you get started:

1- Identify your needs:

What do you want to achieve by incorporating IoT in your company?   

  • Increase efficiency.
  • Reduce costs. 
  • Improve customer service.

After identifying your needs, start looking for IoT solutions that will help you meet them.

2- Perform an analysis of your business:

What are the processes that could benefit from IoT? What data do you need to collect? What kind of devices do you need to install? 

An analysis of your company will help you identify the most suitable opportunities to implement IoT.


3- Develop a plan:

Once you have defined the objective and performed the analysis, you can begin to draw up a plan to implement IoT. 

This plan should include the following elements:

  • The type of IoT devices you need to install.
  • The data you need to collect.
  • How you will store and analyze the data.
  • How you will use the data to improve your processes.

4- Implement the IoT solution:

After choosing an IoT solution, it is key that you apply it in the right way.

This involves installing the IoT devices, configuring the network, collecting and analyzing the data. And also training your employees on how to use the IoT solution.

5- Evaluates the results:

To determine if the solution is meeting your expectations and providing the benefits you expected. If not, you can make changes to your plan.

IoT use cases in different industries

Here are some concrete examples of how companies are using IoT:

  • A logistics company uses IoT sensors to track the location of its trucks in real time, improve supply chain visibility and ensure that products reach their destinations on time. 
  • One manufacturing facility makes use of IoT sensors to monitor the performance of its machines and identify potential problems before they cause downtime.
  • A retailer uses IoT to collect data on its customers' shopping habits, personalize offers and improve the user experience. 
  • Healthcare companies use IoT to monitor patient data, provide personalized care and increase quality of care. 

This can lead to optimized health outcomes and reduced healthcare costs.

  • A supermarket uses IoT sensors to track the temperature of their food during transport, which has helped them reduce food waste by 10%.

So if you're looking for ways to increase efficiency, limit costs, improve customer service and innovate, the Internet of Things may be a good fit for your business.

And you, have you already integrated the Internet of Things in your business or, on the contrary, are you considering it? 

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What types of mobile applications are there?

Mobile applications have become a fundamental part of our lives, facilitating access to information, services and entertainment anytime and anywhere from our smartphones or tablets. 

When it comes to developing a mobile application, there are different approaches that can be taken, and each has its own advantages and disadvantages.

In this article, we'll explore the most common types of mobile apps and tell you which one is right for your business.

What are mobile applications? 

A mobile application is software designed for use on mobile devices such as smartphones and tablets. 

They are usually easy to use and intuitive, in order to provide the app user with the best possible experience.

What are the types of mobile applications?

There are three basic types of mobile applications that are categorized by the technology used to code them:

Native application

These are applications developed specifically for a particular operating system, such as iOS or Android. 

So they are installed directly on the device and take full advantage of the features and functionality of the operating system.

Some of its most important features:

  • They have full access to the device functionalities, such as the camera, GPS and sensors, allowing them to provide a more interactive experience.
  • They usually offer optimal performance and a smooth user interface, as they are optimized to run on the operating system they are running on.
  • As standalone applications, they can be distributed through the official app stores, such as the App Store or Google Play, which makes them easier for users to discover.
  • Because a separate application is required to be developed for each operating system, the development process can be more time-consuming and costly compared to other types of applications.
  • Native mobile applications only run on the operating system for which they were developed, limiting their reach to a specific audience.

Web application

One that runs through a browser on a mobile device. These applications are developed using standard web technologies such as HTML, CSS and JavaScript. 

Some of the important features of web applications::

  • They are accessible through a web browser, which means that nothing additional needs to be installed on the mobile device, regardless of the operating system.
  • They can be accessed via a specific URL, which facilitates sharing and quick access.
  • They depend on a stable Internet connection for operation, which can be a drawback in areas with limited coverage.
  • They do not require constant updates, since changes made on the server are automatically reflected in the application.
  • They have limited functionality compared to native applications.
  • They do not require storage space on the device.
  • Developing a web application can be less expensive compared to other types of mobile apps.

Hybrid application

Hybrid mobile applications combine elements of web and native applications, allowing for easier development and offering cross-platform compatibility. 

While they may have performance limitations and dependency on plugins and APIs, they are an attractive option for those looking to balance ease of development and wide availability.

Some advantages of hybrid applications::

  • They allow the development of a single code base that runs on multiple platforms, which speeds up the development process.
  • Updates and bug fixes can be deployed centrally, making it easier to maintain the application across all platforms.
  • Developing a hybrid application is more cost-effective than creating separate native applications for each platform.

Below is an infographic that summarizes the advantages and disadvantages of each type of mobile application:

How to choose the right one for your business 

To decide what type of application you want to develop for your business you will have to consider several important factors. Here are some some key considerations to take into account::

  • Objectives and audience: Understand the needs of your users and the objectives of your application to determine which will be the most appropriate. 
  • Required functionalities: If you require full access to device features and optimal performance, a native application may be the best choice. If the functionality is more basic and does not require full access to device features, a web or hybrid application will be sufficient.
  • Budget and development time: Web and hybrid applications usually involve fewer resources compared to native apps, as they can be developed once and used on multiple platforms.

In short, there are different types of mobile applications. Each has its own advantages and disadvantages, and the choice will depend on your specific needs, objectives, budget and available resources.


Tell us, did you know these types of mobile applications? If you are thinking of creating an app for your company, contact us.

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What is error 400 and how to fix it

Have you ever tried to access a website and got an error? Surely on more occasions than you would have liked. One of the most common errors that you can find when surfing the Internet is error 400, a negative experience for both the user and the website. 

In this article we will explain everything about error 400 and give you some effective solutions to fix it.

What is error 400

Error 400, also known as "Bad Request", is an HTTP status code that indicates that the request made by the client is incorrect or cannot be processed. 

When a web server receives a request with syntax errors or missing information, it returns a response with status code 400. 
This error can occur in several situations: when trying to access a web page, submitting data through a form or interacting with an API.

Causes of error 400

Some of the most common reasons why you will get a 400 error when surfing the Internet are:

Misspelled URL

If the URL contains impermissible characters, is incomplete or has an incorrect structure, the server will not be able to process it properly and will return status code 400.

For example: 

https://listica.com/#quehacemos

If you visit the same URL with an additional "%", your browser will return an incorrect request 400 error.

https://listica.com/%#quehacemos

Corrupted or expired cookies

Cookies are small files that are stored in the user's browser and are used to track session-related information. So if the cookies associated with the requested page are corrupted or expired, the server may cause a 400 error.

Authentication problems

When authentication is required to access a page or resource, if the data provided is incorrect or insufficient, an error 400 may be generated. This occurs when the server cannot verify the user's identity and therefore cannot process the request.

Misconfigured redirects

If redirects have been configured incorrectly on the server, it is possible to get a 400 error. This can happen when trying to redirect to a non-existent page or when the redirect configuration is incorrect, which confuses the server and generates the error.

Cache problems

Sometimes, the browser cache can store old versions of a website. If you try to access a page using an outdated cached version, you are likely to get a 400 error. Clearing the browser cache can help to fix this problem.

File size too large

Some servers have a file size limit, so if a web site has a file that is too large, there is a chance that you will receive a 400 error code.

Conflicting browser extensions

In some cases, your browser extensions may interfere with the request and cause a 400 error.

How to solve it

If you have encountered error 400 when trying to access a website or interact with an application, there are several actions you can take to fix it. 

Here are some effective solutions:

  • Check that the URL is spelled correctly and contains no typos or invalid characters. Also confirm that you are using the proper protocol (HTTP or HTTPS) and that you have included all necessary subdomains or directories.
  • Delete the cookies associated with the website that is showing you error 400. You can do this from your browser's privacy settings.
  • Verify the data sent through a form or request, check that all required fields have been completed, that the data is in the correct format and that it does not exceed the limits set by the server. 
  • Clear your browser cache and make sure you are not viewing an outdated cached version of the web page. You can find this option in your browser settings.
  • Check that the URL parameters are spelled accurately and are in the correct format.
  • Restart the device you are using to access the Internet. This helps to reset any temporarily faulty settings or connections.

In short, error 400 can be disappointing when trying to access a website, and even more if your own website shows it. However, with the solutions mentioned above, it is possible to solve this problem.

If you have ever faced a frustrating case of error 400, you can tell us in the comments!

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DAM vs. CMS: key differences in digital asset and content management

Did you know that content management is essential for companies that want to maintain a good online presence? 

If you are not yet aware of this, we can tell you. That's why two of the most widely used tools for managing and distributing content are DAMs and CMSs. 

Although at first glance they may seem similar, there are some differences between them, in this article we tell you about them and also how businesses can benefit from them.

What is DAM?

Digital Asset Management (DAM) is a software tool designed to efficiently organize, store and distribute digital content.

With DAM systems you can manage most digital files: images, videos, audios, documents, presentations, graphics.

In addition to version tracking, usage history statistics, increased security with user permissions and even reformatting, resizing and enriching assets with custom metadata and keywords.

So by using a DAM system you ensure that your business employees have the ability to access the necessary resources from a centralized location that helps maintain a consistent brand image across the multichannel strategy.

Benefits of DAM

The use of a DAM system brings a number of benefits especially for companies that handle large amounts of digital assets. Some of these are:  

  • Organization and efficient search: The use of tags, metadata and keywords makes it easy to locate the necessary files without wasting a lot of time.
  •  Simultaneous access and collaboration on assets: This allows teams to efficiently share, review and approve assets.
  • Consistency and brand control: The DAM allows you to set permissions and restrictions to monitor who has access and who can modify assets.

What is a CMS?

CMS, also known as content management system, is a is a platform that makes it easy for companies to create, edit, publish and manage all the content of their website, mobile app or software application. 

You can use a CMS to generate new pages, add text, upload images and videos.

Although a CMS includes a media library that serves as a repository for media files shared on the web (photos, videos, audios or documents...), you should only store media files that are part of your website, not for other uses.

The CMS is commonly used to manage websites and blogs,giving non-technical users the ability to update and maintain their content without programming knowledge. Some well-known CMS tools are: WordPress, Drupal y Shopify.

CMS Benefits

Using a CMS presents a number of advantages for those who wish to manage and publish content online. Here are some of the most important ones: 

  • Ease of use, CMSs are designed with usability in mind, making it easy to create and edit content even for those without deep technical knowledge. 
  • They give you the option to customize and adapt the design and functionality of your website, through a wide range of themes, templates and plugins.
  • All content can be managed from a centralized location. This facilitates updates, monitoring and control of the information published on the web.

Key differences between DAM and CMS

Although digital asset management and content management systems have certain similarities, they also have differences. Here are some of them: 

Ultimately, both digital asset management and content management systems are powerful tools that help improve the efficiency and organization of content in an enterprise.

So if you are looking to maximize your online presence and manage your digital content efficiently, consider implementing a DAM or CMS according to your specific needs.

If you have made it this far and still have a bit of confusion with the digital content of your business, you know: at Listica, we help you understand what you need.

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Blockchain: what it is and how it works

Do you know what blockchain is? You may have heard or read this term on more than one occasion. 

Because blockchain technology has become a highly relevant topic in the technological and financial sphere. 

Given its potential to transform the way we share information and transact business, it is important to understand what it is and how it works. 

If you want to find out, be sure to read this article. 

What is blockchain?

Blockchain is a decentralized technology that allows transactions to be recorded in a secure, transparent and immutable manner.. 

Unlike traditional centralized systems, in which an intermediary is in control and validates transactions, the blockchain operates in a decentralized manner. 

Therefore, there is no single entity in charge, but the verification and validation of transactions is carried out by a network of nodes distributed around the world.

Main characteristics of blockchain technology

Blockchain technology has several key features:

  • Decentralization: One of the most salient features of the blockchain is its decentralized nature.
  • Transparency: All transactions performed on the blockchain are visible to all participants in the network. This fosters trust and accountability, as anyone can verify and audit transactions.
  • Security: Blockchain technology uses advanced cryptography to protect the stored information. So each transaction is securely recorded and no alteration occurs without the consensus of the network.
  • Immutability: Once a transaction is recorded on the blockchain, it becomes immutable, so it cannot be modified or deleted without the consensus of the network. Each block is linked to the previous one by a cryptographic algorithm, which guarantees the security and integrity of the data.
  • Elimination of intermediaries: Using blockchain technology, you don't need intermediaries to make transactions, reducing costs and waiting times.

How blockchain works

Blockchain technology works through a multi-step process:

  1. It all starts when a participant enters a transaction and it is authenticated by the technology.
  2. That action creates a block that represents that specific transaction or data.
  3. The block is sent to all computer nodes, which are a network of computers spread around the world.
  4. Then those authorized nodes verify the transaction and add the block to the existing blockchain. 

Each block contains a set of transactions and a unique identifier called a "hash" that represents the data contained in the block and includes the hash of the previous block, thus creating the blockchain.

  1. Once transactions are grouped into a block, miners on the network compete to solve a complex cryptographic challenge known as "proof of work". 

And when the update is distributed through the network, the transaction is completed.

Applications of blockchain technology

Blockchain technology has many applications in various sectors and areas of society. These are some of the most prominent ones:

  • Cryptocurrencies: are one of the best-known applications of blockchain, as they use this technology to perform secure and decentralized transactions without the need for financial intermediaries.
  • Logistics and supply chain: blockchain technology improves traceability and transparency in the supply chain, helping to verify the origin and authenticity of products.
  • Governance and electronic voting: the use of blockchain in government can increase transparency and trust in government data management. 

And in electoral processes strengthen security with regard to electronic elections, since by recording each vote on the blockchain, the integrity of the results is guaranteed and thus prevent any unauthorized manipulation.

  • Health: Blockchain technology ensures the secure exchange of medical information, the management of electronic medical records and the protection of patient privacy.

In addition to these useful and promising applications, there are some use cases where it can be used as: 

  • Tokenization of assets.
  • Energy market. 
  • Food safety.
  • Travel.
  • Internet of Things (IoT). 
  • Security of personal identity.
  • Cross-border payments.
  • Data storage.

Blockchain challenges

Blockchain technology has many advantages and also some challenges to solve, such as scalability, security issues, regulatory framework and high energy consumption.  

However, these challenges provide opportunities for innovation and collaboration in the development of solutions.

Future of blockchain technology

The future of blockchain technology looks bright, as its adoption will continue to grow in different sectors and eventually play a key role in the digital economy.  

So we may see new applications and also solutions that help overcome current challenges such as scalability, interoperability and privacy of blockchain.

So take advantage of the benefits of this technology and consider how you can implement it in your industry. 

Tell us, do you use blockchain technology in your business or, on the contrary, did you not know what it is?