Sensory Marketing: How Can It Help You Sell More?

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Sensory Marketing: How Can It Help You Sell More?

Sensory Marketing: With the increasing demand of consumers in all areas, offering good quality products, attractive prices, and a wide variety of items has become an obligation for those who wish to remain competitive in the market.

However, how do you stand out among so many competitors and leverage sales? For this, many companies have adopted sensory marketing. In this post, we will explain the concept, how it works, its importance and how it can be applied in retail.

What Is  Sensory Marketing, And How Does It Work?

Sensory marketing works with the public’s senses and aims to increase sales. In practice, this ranges from using packaging with a creative design (attracting customers’ eyes) to exploring emotions and memories through smell.

Regardless of the company’s line of business, sensory marketing aims to attract consumers – mainly from the retail trade – in a less traditional way, using strategies with the priority of attracting customers’ attention through the five senses. Understand the following topics, the role of each and how to exploit them.

Tact

There are many situations where customers like to touch the products to feel the material, test the functionality, and evaluate the quality, among other things. Good examples of this are selling electronics (such as cell phones) and clothing.

Therefore, it is interesting to adopt a strategy where consumers can get in touch with the items even before they are tasted and purchased. Leaving varieties on display is an excellent resource for the public to know the products better.

Another way to use touch is to invest in some market trends, such as interactive screens or touch screen tables. Using this type of resource makes it possible to create a test capable of indicating the most suitable product for the customer (according to the answers offered).

Vision

Considered one of the senses most used by marketing, vision is explored through advertisements, product design, creativity in logos and any other visual way to draw the public’s attention.

Within sensory marketing, this sense relates to how products are displayed at points of sale. For example, disorganized shelves or those with missing products in a supermarket can harm the consumer’s visual experience.

Another point that must be considered is creativity when arranging the products. Putting them differently can sharpen customers’ curiosity and hold their attention for a longer time, increasing the chances of a sale.

Smell

One of the most traditional ways to take advantage of olfactory marketing is by using flavorings at points of sale. Look for scents that match your store’s segment and bring customers olfactory memories. Have you ever noticed how some shoes have their characteristic smell? Or how the smell of freshly brewed coffee can awaken a desire in the consumer?

In addition to making the environment more pleasant, the strategy arouses positive emotions in the establishment’s customers, who are more likely to finalize the purchase of a product.

Hearing

Another way to reach consumers’ senses in PVD is through auditory marketing. Combining soundtracks with the context of the brand can influence the customer’s purchase moment, as the sound directly impacts the public’s mood.

But care must be taken when adopting this strategy. The consequence can be positive or negative, depending on the sound effects used. Therefore, it is important to use music and sounds that are as compatible as possible with the profile of the establishment’s visitors.

Taste

Another factor that directly spurs customers—both positively and negatively—is taste. Tasting pleasant food and drink makes people more receptive to other sensory stimuli.

Other than that, hunger is one of the main causes of a bad mood and the most significant reason people go out looking for an establishment that offers food, such as supermarkets. This makes investing in food tastings sold in the store even more viable.

Another good tip is to distribute points throughout the company that offer customers water, coffee, candies and other “treats”, making them spend more time in your store and, consequently, buy more.

Why Is Sensory Marketing So Important For Companies?

Because our senses guide us, most of the sensations we experience are processed without the interference of consciousness—it can even fool us from time to time. That is, you can make associations, access memories and even make decisions without this being done in a planned way.

Thus, betting on sensory marketing is synonymous with offering different experiences to the public. If well adopted, the strategy helps to create a closer relationship with consumers  — precisely because it offers varied sensations —which helps make your establishment one of the main options when buying.

What Is Your Influence In Retail? How Can It Be Applied?

There are several ways to use sensory marketing successfully in retail. Below, we will present some examples of exploiting this strategy, creating more meaningful experiences and captivating consumers. Let’s go to them:

Explore The Emotional Side

The first step that must be taken to make good use of sensory marketing is to understand what captivates your customers emotionally. The closer a brand manages to get to the consumer’s fears, anxieties and desires, the easier it will be to convince the public of the need for the product or to buy from its store.

Research and use business intelligence to determine the efforts that must be made in the audience’s awareness, avoiding common mistakes such as targeting only one of the senses or the wrong senses.

Discover The Initiatives Of Other Brands

Look for ideas that have worked at other establishments and use them as inspiration to plan your strategy. Several companies from different sectors worldwide already use sensory marketing, and researching them can help develop more effective techniques.

Remember The Tact

This is likely one of the most challenging senses to be stimulated, requiring more effort to succeed. Therefore, creating a more complete and highly interactive approach with the consumer is of great importance.

Explore the textures and bet on the quality of your store’s products and packaging so that customers have a pleasant experience and associate your brand with a nice moment.

Also Read: Outbound Marketing: How Social Networks Can Help

Digital Transformation In Retail: What Are The Advantages?

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Digital Transformation In Retail: What Are The Advantages?

Let’s talk about digital transformation in retail. In recent years, we have noticed a sharp growth in the use of technologies in the business world.

Some features have become so essential that we can’t imagine managing without them. Retail has always been a dynamic sector, and proximity to the consumer is a characteristic that helps entrepreneurs innovate more precisely. To achieve success, you need to be aware of and know the resources and strategies at your disposal.

Read on to better understand the impact of digital transformation on retail and learn how to make strategic investments!

What Is Digital Transformation?

Digital transformation is the use of technology by companies to increase the efficiency of their activities and become more productive and profitable. In practice, we are talking about a new way of thinking and acting within a business, with technological tools playing a fundamental role.

This process is part of a movement affecting various sectors and directly impacting people’s daily lives. After all, the internet, Artificial Intelligence, computers, and other technologies are part of our daily lives — personally and professionally.

What Is Meant By Digital Transformation In Retail?

Digital transformation is a reality that affects all of society. The constant evolution of technology has modified our way of communicating, thinking, working, and consuming, and, therefore, the retail sector is one of the most impacted.

When we talk about this process in retail, we are referring to the resources used by companies that aim to optimize and improve essential procedures, such as:

  • the delivery of goods to the consumer;
  • customer attraction and loyalty;
  • distribution channels;
  • sales techniques;
  • stock management ;
  • the record of sales;
  • forecasting consumer demand.

Finally, it addresses all processes performed in retail that can be more efficient and safe with the support of technology. For this reason, there is an excellent relationship between innovation and reducing manual processes.

What Are The Advantages Of Investing In This Trend?

A retailer’s success is closely linked to its ability to understand its customers’ demands and provide them with a differentiated shopping experience.

Ensure Business Survival

With all the advances provided by the internet, mobile devices, and the retail transformation itself, any business that needs to prepare runs the risk of failing, especially with the increasingly strategic performance of the competition.

In short, companies that innovate, give up old models and learn to reinvent their sales channels and customer communication operate more competitively and profitably.

Optimizes Processes

Another exciting advantage of digital transformation in retail is that it intelligently optimizes processes. An excellent example is the virtual shelf, which improves the display and replacement of products and works as another sales channel for the company.

In this model, you could place a virtual gondola in a subway, for example. It would have all available products next to the QR code. Thus, the customer can choose what he needs, scan the code on his cell phone and receive the purchases at home.

Embracing digital transformation in retail not only enhances operational efficiency but also introduces innovative and convenient experiences for both businesses and consumers. Introducing QR codes, for instance, serves as a bridge between the virtual and physical realms of shopping. Imagine a scenario where customers encounter a QR code on a product display in-store. With a simple scan using their smartphones, they unlock a wealth of information, promotions, or even interactive experiences related to the product. This seamless integration of technology not only engages customers but also propels the retail landscape into a realm where convenience and connectivity converge.

Increases Employee Productivity

Because they are essential for customer service and the operation of the business, it is necessary to invest in solutions that provide good working conditions for employees.

Currently, the use of management software has been widely used by retailers, as it contributes to increasing employee productivity. They prevent supermarket employees, for example, from wasting time on bureaucratic tasks and dedicating themselves to what matters.

Reduces The Number Of Failures

Automated processes are safer and more efficient than those performed manually. Technology will help you make the right decisions and ensure that actions follow a standard of quality and efficiency, reducing the incidence of failures and calculation errors, for example.

Improves The Business Image

Innovative businesses attract attention in the market, and your company can only benefit from investments in technology. Have you ever thought about having a self-service terminal? In addition to reducing the queues in your establishment, this will give your store a positive and differentiated image from competitors.

Attract More Customers

A company that invests in artificial intelligence, virtual reality, and a good marketplace can attract more customers. That’s because the consumer is always looking for news and values ​​companies that innovate to provide a better shopping experience to their audience.

Also Read: Big Data Analytics Its Impact On Digital Transformation

Benefits Of Artificial Intelligence In Customer Service

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Benefits Of Artificial Intelligence In Customer Service

Artificial intelligence (AI) has completely changed how customer service is processed. After all, its development brought much more speed and precision in the assistance, an increasingly sought-after process.

However, this technology still needs to be used in companies due to the lack of knowledge about the real benefits that it can provide.

For this reason, companies must invest in new tools and software to improve the user experience.

Artificial Intelligence In Customer Satisfaction 

Artificial intelligence entered the world of customer service a few years ago. Companies understand that its use makes it possible to carry out various tasks to improve the customer experience. And this happens from tools or programs that are 100% coming from AI or the functions it can perform daily. 

Therefore, in the face of some services with companies, we come across this type of technology. In customer service, Artificial Intelligence is present in some tools. 

It is an example of a Chatbot. Also called Intelligent Service, it analyzes frequently asked questions. Furthermore, the Neo Assist Chatbot understands the user’s language, not the keyword. This improves the search and delivery of a more accurate response to your customer.

We know that customer service is fundamental for a company, and the more agile and efficient it is, the better the business will be evaluated.

The use of AI can impact various sectors of a brand and help automate multiple activities. Therefore, it is essential to know all its advantages.

The truth is that talking about artificial intelligence is nothing new. However, applying it in an integrated and effective way within a business takes work.

At a time when Customer Experience is gaining priority on the agenda of CEOs and company leaders, AI solutions have become indispensable to optimizing the relationship with the consumer.

Customer Service: Key Benefits AI Can Deliver

Artificial intelligence covers more and more aspects of everyday life. From streaming platforms to after-sales services, the main point of contact we have with our favorite brands is mediated by AI to a greater or lesser extent.

Therefore, we indicate the main benefits that this feature can provide in customer service. Stay abreast!

Greater Control Over Interactions

When interacting with a system that relies on artificial intelligence, accuracy is much greater in every way. The information is more objective, and the client controls the development of the dialogue.

Full-Time Availability

The communication channels are available to the user 24 hours a day, seven days a week. This gives the consumer a feeling of constant assistance, which is excellent for the brand.

Agility In Problem-Solving

With the help of a virtual assistant, you can serve many people simultaneously without the limitation of human operators.

In addition, the answers requested by the consumer are given in real-time. The user does not need to wait for a solution; everything is done much faster. Thus, the duration and frequency of contacts decrease.

More Confidence In Service

With AI, there is no risk of human error in problem-solving. Therefore, customer confidence in service is higher.

Greater Privacy And Security

The calls made through AI make users not worry about the personal information they provide, as the system protects and guarantees their privacy during the conversation.

Personalized Customer Interaction

The virtual assistant learns from every interaction with the consumer. These information and customer records are used to personalize your interactions, improving service increasingly.

All these benefits help to improve the user experience, thus increasing brand satisfaction. Therefore, there is no doubt that artificial intelligence in customer service can significantly enhance the service companies provide.

Artificial intelligence has a broad approach and can help your business somehow. That’s because their functions can improve the consumer’s journey within your company regardless of the area. Whether making service faster or personalized, AI will always be useful in the customer satisfaction process.

Also Read: When Did Artificial Intelligence Become Machine Learning?

Big Data Analytics Its Impact On Digital Transformation

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Big Data Analytics Its Impact On Digital Transformation

Big Data Analytics: The concept of Big Data is already a reality in several companies, transforming the analysis carried out into spreadsheets and straightforward tables that are increasingly old-fashioned.

Aligned with the idea of Advanced Analytics, Big  Data Analytics allows the business to transform data into information for strategic decision-making through high-performance software or applications. 

By using this type of technology, the entire digital transformation of the company can be directly impacted and taken to a new level, with practical applications in various sectors such as HR, Supply Chain, and even the Marketing area. Professionals in these areas must obtain valuable and reliable information on the progress of processes and business indicators. 

The evolution of Big Data ranges from efficient data collection to its integration with the most diverse corporate bases and information sources. Keep following our publication and learn more about how this technology can directly impact the digital transformation of your business! 

The Concept Of Big Data And Its Evolution Together With Analytics

Big Data is familiar to most companies; attention to the stored data and travels through the services offered and consumed by the business adds more information and improves decision-making. This technology has the necessary potential to transform several sectors such as scientific research, administration, financial and operational areas. 

A significant evolution of Big Data was the integration with the concept of Analytics, allowing Big Data Analytics to become the standard in industries concerned with the volume and collection of data in a structured way. Promoting best practices for managing business data can also improve business practices by improving strategic decisions. 

In this way, executives and the management body can receive valuable insights that will direct the business toward the best trends in the market. And today’s scalable data storage capabilities offer few limitations to the volume of data that can be processed, enabling real-time analytics scenarios and applications that lead to better business performance from the insights generated with Big Data Analytics. 

Big Data Analytics Important Steps

Data collection is one of the first steps and must have a specific objective as a central point to be worked on to maintain the focus when generating insights. Different areas of the company may have different directions, and the storage and collection of data may be intended for future applications. 

After efficiently collecting data, data cleaning is a pre-processing of these data to generate a correct analysis of possible failures or anomalies. In inspecting the collected data, some statistical methods or even transformation processes can be used for removal and treatment. 

Content analysis and data mining can occur jointly or separately, depending on the type of Big Data architecture and the company’s maturity level. Data processing to identify patterns can use advanced techniques such as machine learning or search for relevant answers to the business – such as the profile of each consumer or a possible bottleneck during the production process. 

Visualizing information is also an important step. Constructing dashboards and tools that transform this information for straightforward interpretation is a significant step to demonstrating the power of data to decision-makers. Graphic adaptations and understanding the target audience that will use that information are great ways to deliver value to the analysis performed. 

Another critical point is integrating analyzed and processed data with other data sources – whether corporate or external – so that Big Data Analytics does not occur promptly. Blending into the management and command chain is a great way to maintain information quality and deliver true convergence between different technologies.

The Impact Of Big Data Analytics On The Digital Transformation Of Your Business

Big Data Analytics is applied for business optimization and positively impacts the company’s digital transformation as a whole. Promoting a better organization of data and the generation of insights offers benefits in the most diverse areas. 

  • Decision-making is one of the focuses of Big Data Analytics optimization, allowing the company to become more assertive and promote a culture of strategic vision based on data. Visualizing trends and customer needs is a great way to demonstrate the power of this technology. 
  • Identifying patterns can help identify your customers’ public and consumption profiles, in addition to promoting better integration of areas such as marketing and operations. Corporate data is also a great way to identify internal patterns and help identify bottlenecks and gaps. 
  • And thanks to this analysis and identification, optimizing the company’s internal processes can be a great way to internalize the benefits of Big Data Analytics. 

Big Data Analytics In HR

Modern HR must worry beyond bureaucratic processes, and Big Data Analytics can help improve the results of this sector. One of the first examples is the search for candidates in line with the profile of a vacancy or position within the company. The HR data analysis helps when looking for essential characteristics of external professionals. Big Data Analytics can previously select a group of candidates with the requirements, facilitating the task. 

Another task of the HR sector and people management within the company that can be helped using Big Data Analytics is performance evaluation and identification of potential leaders. Business information is an essential tool to understand the profile of each employee. 

Big Data Analytics In Logistics

Logistics also benefits from applying Big Data Analytics technology since improving operational decision-making in the supply chain is a great way to optimize cost reduction and increase efficiency. The data directly linked to the process and data from the devices and sensors that make up the business logistics can generate meaningful information. 

GPS data, presence sensors, tags, and even RFID guarantee essential information without having human interaction for the collection to take place – the sensors can be directly connected with the company’s Big Data architecture. 

Big Data Analytics In Marketing

The Marketing area can also benefit enormously from applying Big Data Analytics techniques, as it can build consumption profiles with incredible accuracy based on the historical data of its customers. They can also help forecast demand and discover new trends in the consumer market.

Also Read: How Big Data Can Contribute To Project Management

When Did Artificial Intelligence Become Machine Learning?

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When Did Artificial Intelligence Become Machine Learning?

Artificial intelligence and Machine Learning are constantly said together or equated, especially after the latest releases and linked news in the media.

When comparing the two words and understanding the subject a little more, it is clear that artificial intelligence does not mean the same thing as Machine Learning or, in Portuguese, machine learning.

The desire for artificial intelligence strengthened after companies’ increased concern with digital transformation and where they stand. Since the first research in 1956, the view of artificial intelligence has been toggled between the bright future of technology and just science fiction – and in recent years, attention has also been turned to the area of ​​Machine Learning.

And the big question is when did artificial intelligence become Machine Learning, and to what extent is this correct? Keep following our publication and learn a little more about this subject!

The Artificial Intelligence Timeline

The term artificial intelligence was first mentioned in 1956 by John McCarthy at a conference of experts and was defined as a science or engineering that produces intelligent machines. These innovative machines would be developed from a set of areas of computer science to seek computational methods and devices that possess, increase or resemble the human being’s ability to think.

In recent years, the popularity of artificial intelligence has increased dramatically, especially after the emergence and availability of computational power and parallel processing – being faster, cheaper, and more powerful. In addition to the increase in the processing power of current computers, the exponential growth in data availability should also be highlighted, making the applications and information available for systems to “learn” also increase.

And When Did Artificial Intelligence Become Machine Learning?

Artificial intelligence symbolizes developing intelligence that resembles humans and can deal with context, influence, feelings, and learning in everyday interactions. Building complex machines with the same characteristics as humans and being able to perceive the environment around them is one of the great foundations of the primordial concept of artificial intelligence.

The growing panorama of digital transformation and the rise of fame around the so-called intelligent systems made the term Machine Learning begin to be used with the same meaning as artificial intelligence.

Machine Learning, or machine learning, is a field of studies and applications of Computer Science and one of the main ones responsible for the growth and approximation between the areas of statistics and programming. This field of study evolved from pattern recognition, and computational learning focused on developing artificial intelligence.

It gained a lot of fame from the increase in its fields of action, mainly with repetitive tasks that follow a specific pattern. Instead of implementing and coding software routines, the developer can train a model from a mass of data used as examples to teach this model to perform this particular task.

Can We Approximate The Two Fields?

Yes, but carefully! The terms artificial intelligence and Machine Learning come close and are often equated in favor of a better understanding, mainly when explained to an audience outside the technology field. The critical point of this discussion is to separate both terms and conceptualize them correctly, showing how each has its specific importance for each type of performance and can be approximated but never equaled.

Artificial intelligence stands out for its more conceptual performance. It shows how developing models and architectures of intelligent systems allow this knowledge to approach human knowledge, including specific benefits for all industries. With that, it is essential to say that, yes, Machine Learning is part of the world of artificial intelligence.

Machine Learning And Deep Learning

Machine Learning evolved from pattern recognition and computational learning theory without dynamic programming – and with the advancement of Big Data and computational power, another term emerged in this technological innovation environment, Deep Learning. Directly inspired by the knowledge of the biology of the brain and the interconnections of neurons, Artificial Neural Networks further promote machine learning for the computational system by creating extensive networks of data transmission and pattern learning.

The increase in the use and ease of training of Deep Learning models allows even more practical applications of artificial intelligence across its entire field of extension. This growth scenario allows several tasks considered artificial intelligence, such as autonomous cars, user recommendations, and preventive health, to undergo significant improvements with the applicability of Machine Learning and Deep Learning models.

Also Read: How Artificial Intelligence Affects IT Teams?

Cheapest Cell Phone: Affordable Options From Top Brands

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Cheapest Cell Phone: Affordable Options From Top Brands

Cheapest cell phone: Generally, the leading cell phone brands’ big launches are for the top of the smartphone, hosting a significant event and extensive coverage.

With this, it is difficult to have an idea about which is the cheapest cell phone of these brands since the other launches of the manufacturers are often overshadowed or are in the background. And do you know which are the most inexpensive cell phones from the leading brands, which are worth buying in 2023, and which are already outdated? Check out!

How Cell Phones Were Chosen

When we talk about cheap cell phones, we prefer to cover both models that are a little older and simpler but still available on the market and that can be purchased today, along with options whose configurations do not leave much to be desired but that are still cheap. Therefore, we will talk about the “cheapest cell phone” currently on the market. Samsung, Xiaomi, Motorola, and realm, entitled to an honorable mention at the end—Let’s go. 

Samsung

Samsung is perhaps the most popular brand. Having devices from the most basic level to the top of the line, the South Korean brand has become synonymous with cell phones, regardless of the group. 

Galaxy A01

Officially launched in April 2020, the Galaxy A01 stood out as a device that fits like a glove for more straightforward users who only look for good use in a cell phone for messaging and social networks. The Snapdragon 400 processor corroborates this perception, being one of Qualcomm’s most basic chipsets at the time. 

However, its LCD screen with HD + resolution was not ugly for a primary cell phone. It gained a little more notoriety the following year, within its segment, due to the criticism that the A02 suffered when released.

Galaxy A13

The Galaxy A13 was a pleasant surprise in the introductory segment in 2022, not only because it offers an average configuration of what is considered suitable for an entry-level device but also because it has slightly more advanced cell phone characteristics, such as 5G connectivity. 

In its average settings, the A13 has 4GB of RAM and 128GB of internal memory, a 5,000 mAh battery, and a Full HD 90 Hz IPS screen. The only point that the device may leave a little to be desired is its set of cameras, but in general, it is an excellent option for more basic users. 

Xiaomi

We went from a consecrated brand to one that has grown the most in recent years. With smartphones becoming increasingly expensive, Xiaomi became a synonym for cheaper cell phones than other major brands. Although it also has top-of-the-line devices focused on high performance, let’s get to know some of its affordable options:

Redmi 10C

The 10C is a model that shows well the strengths and weaknesses of an essential Xiaomi cell phone, also proving to be a complete device for not-so-demanding users without doing poorly in some more complex processes. Equipped with Qualcomm’sQualcomm’s Snapdragon 680 chipset and having 4GB of RAM, the Redmi 10C handles well with more than one app open simultaneously, without significant hiccups. 

Redmi Note 10 5G

Living up to the brand’s reputation for suitable devices at affordable prices, we have a low-cost intermediate option. The Redmi Note 10 5G was a clear evolution over its predecessor, bringing new features based on Xiaomi’sXiaomi’s consumer reception. Its main strengths are a super AMOLED screen with Full HD+ resolution; a MediaTek Dimensity 700 processor, which, together with 6GB of RAM, can run slightly more demanding games well and works with several apps open at the same time with fluidity. 

Motorola

Being one of the oldest brands in the cell phone market, Motorola has gone through virtually all eras of cell phones to become one of the greats in the smartphone market as well. Having different lines focused on different types of consumers, it is also a brand with an extensive range of devices. Let’s see which of your devices can be considered the cheapest cell phone:

Moto E22

As the Moto E is Motorola’s most straightforward and affordable line of cell phones, it’s only fair that we talk about one of them first. The Moto E22 bet on some differentials for an entry-level device, such as stereo sound with Dolby Atmos and a screen with a refresh rate of 90 Hz. However, the smartphone left a little to be desired for performance below expectations – even for an entry-level cell phone – and little internal storage capacity, with only 64GB. 

Moto G52

We leave for Motorola’s line of intermediaries, known for good cost-effective cell phones. The Moto G52 has a 6.6-inch OLED screen and Full HD resolution, a more than positive point. It has very clean stereo audio and a battery within the average mentioned numerous times, with fast charging of 30W. Its set of cameras is ok for an intermediary, with the main highlight being the sharpness of its 50 MP primary lens. 

Also Read: Nothing Phone 1 Beyond The Hype: Transparency

Software Development: How AI Can Accelerate

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Software Development: How AI Can Accelerate

Software Development: Understand why more and more developers are using AI to write and review code, detect bugs, test software, and even optimize projects.

The high demand for digital services, driven by the new coronavirus pandemic, combined with the shortage of IT professionals to deliver all the applications that business area users need in their daily lives, has led many organizations to consider using artificial intelligence. to assist in the software development process, alongside tools such as low-code.

According to a Deloitte/Insights study, large and small software vendors have released dozens of AI-based software development tools in the past 18 months; the global market for custom software development services is expected to grow from $47 billion in 2018 to over $61 billion in 2023.

The study expects that AI-based development tools will become increasingly essential to meet companies’ growing demand for software.

Code Assistants: How AI Helps In Software Development

Code assistants or Artificial Intelligence coding are code autocompletion plugins that allow developers to write code faster and more accurately, leveraging artificial intelligence to help edit and suggest code. Among the main features of code assistants, the following stand out:

Rapid Prototyping

Transforming business requirements into technology products can take months or even years of planning. Still, machine learning is shortening that process, allowing fewer technical specialists to develop technologies using natural language or visual interfaces.

Smart Programming 

Developers spend most of their time reading documentation and debugging code. Smart programming wizards can reduce this time by providing just-in-time support and recommendations, such as relevant documents, best practices, and code samples. 

Automatic Analysis And Error Handling 

Programming assistants can also learn from experience to identify common mistakes and automatically correct them during development. In the future, the expectation is that software will dynamically change in response to errors without human intervention.

Automatic Code Refactoring 

As companies upgrade their technologies, large-scale refactoring is inevitable and often a necessity. AI can analyze code and automatically leverage it to improve interpretability and performance.

Precise Estimates 

Software development often goes over budget and deadlines. Reliable estimates require deep knowledge, understanding of context, and familiarity with the implementation team. AI can more accurately predict effort and budget based on past project data.

Strategic Decision Making

Much time is spent debating which products and features to prioritize and which to cut. An AI solution trained on past development projects and business drivers can assess the performance of existing applications and help business leaders and engineering teams identify efforts that maximize impact and minimize risk.

The Market For Code Assistants

According to Deloitte research, due to increasing demand for software, the need for software developers is expected to grow by 21% from 2018 to 2028, much faster than the average for all occupations. This is an obvious sign that the market is heating up.

Benefits Of Using AI In Development

As Deloitte mentioned above, the report notes that artificial intelligence makes software development faster, better, and cheaper. Thus, one of the main benefits of AI-assisted coding for companies is undoubtedly efficiency.

By reducing the number of keystrokes by up to 50%, artificial intelligence increases the productivity of programmers. In addition, it helps them to detect bugs. At the same time, the code is being written and allows quality tests to be automated, ensuring fewer errors in development and increasing confidence in open-source code.

In a Forbes article, Andrej Karpathy, a former research scientist at OpenAI who now serves as Tesla’s Director of AI, states that machine learning fundamentally changes the software development paradigm. Among the benefits of the new paradigm, Karpathy lists:

  • homogeneity and ease of management;
  • ease of being embedded in hardware;
  • constant execution time and memory usage;
  • the high degree of portability;
  • the high degree of agility and integrability;
  • ease of learning for future developers; It is
  • the accurate encoder on certain functions/verticals (images/video, sound/speech, and text).

The Future Of Software Development

Programming as we know it today tends to change over time, with the emergence of new market trends, such as low-code tools and the use of AI to help software developers.

Unlike what some thought, most software will continue to be developed by people shortly. However, they will have the help of tools that guarantee faster and more efficient projects.

With this, the great challenge for technology leaders, from now on, will be to prepare their organizations and leaders so that they can face the future, which is already very close, with knowledge and confidence.

Counting on an experienced partner with expertise in IT solutions to assist you in this digital transformation journey can be an excellent option to overcome challenges and remain competitive in the market.

Also Read: How Artificial Intelligence Affects IT Teams?

Why And When To Perform File Encryption?

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Why And When To Perform File Encryption?

Did you know that file encryption is one of the primary data protection methods in companies? With the digital revolution, shielding your business information is essential. After all, it is your organization’s most important asset.

And, mind you, file encryption is nothing new. Many corporate or personal applications already enjoy its benefits — and we all do, often without realizing it.

An example is WhatsApp, which encrypts all messages sent in personal or group conversations . Only those in that conversation can access them!

But how does encryption work for companies, and why and when to carry it out? To contextualize you on this subject, we created this article. Continue reading to find out more!

What Is Data Encryption? 

File encryption is a method that can be performed in different ways to protect information from unauthorized access. Thus, only the sender, receiver and authorized persons can access it.

The main objective of cryptography is to make it possible for people to share information, files or messages without them being accessed and read by third parties. This is accomplished by encoding the data in question.

In this way, even if a third party has access to the information, as it is encrypted (and therefore encoded), it cannot reveal its content.

Only authorized people have access, as they will have the correct key to decode the information.

But how is cryptography applied in everyday life? Well, to understand, you need to understand the types used in the market. Check it out:

Symmetric Encryption vs Asymmetric Encryption

As we mentioned, there are two main types of encryption: symmetric and asymmetric. We have already explored the above; however, now we will explain their differences:

  • Symmetric encryption: a single key is used to encrypt and decrypt information. It follows the same dynamics as our previous example.
  • Asymmetric cryptography: Two keys are used, one public and the other private. The first one is responsible for encrypting the information, and the private one is for decrypting it.

When Does File Encryption Protect Your Data, And How Does It? 

But after all, where do we find cryptography in our daily lives? As we explained earlier, it already surrounds us in various corporate and personal applications. Therefore, we separate some more examples to contextualize. Check out: 

Encrypted Messages

Different messaging apps like WhatsApp and Telegram encrypt all sent information. This means that in a conversation between Márcio and Fernanda, in our previous example, only the two of them can access the messages.

If a third party manages to hack the WhatsApp database and tries to read the messages, for example, it will not be successful, as it will only see the encrypted codes, not the actual message.

Encrypted Email

Email-sending platforms like Gmail or Hotmail also use encryption to protect the information exchanged. The logic is similar to messaging apps.

Cryptocurrencies

As the name implies, cryptocurrencies rely on cryptography to protect your information. These assets rely on a blockchain to move — and the blockchain uses asymmetric cryptography.

Thus, to access your cryptocurrencies, you need a private key. The public key can be shared with people who want to transfer cryptocurrencies to you.

VPNs

Virtual Private Networks (VPN) is a technology that hides your IP address when browsing the internet. Thus, companies, providers and even hackers cannot track your original IP, protecting your computer and browsing data. The way VPNs hide data is through layers of encryption.

HTTPS

HTTPS is an internet security protocol that ensures data protection between the website and the user.

It uses encryption to keep a user’s information secure so that third parties cannot access it through gaps in the site’s security.

Personal Data And Confidential Information

Finally, companies use management systems and encrypted databases with solid layers of cryptographic protection.

In this way, it is possible to remain in line with the GPDPL and ensure that confidential business information is accessed only by authorized employees.

Also Read: Five Simple Security Tips For Your Devices

Internet Of Things (IoT) Security And Privacy

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Internet Of Things (IoT) Security And Privacy

Internet of Things: It is a fact that the form of physical interaction around the world has changed. Today, houses are automated, a smartphone can control lighting, temperature, TVs, locks and doors, and refrigerators signal the need for food supplies.

These are just a few examples of the Internet of Things opportunities. The Internet of Things interconnects and connects objects to the Internet, computers and smartphones. These technological integrations make everyday life more productive, efficient, practical and dynamic for users.

IoT: Relationship Of Trust

For the Internet of Things to work effectively, users need to have a relationship of trust. Companies must earn and maintain customer trust by providing ever-better and safer technology.

Network Privacy And Security

Security and protection in collecting and sharing personal data are this sector’s main challenges. The combination of information and access recorded on smart devices puts privacy at risk, as it generates a set of behaviors that cybercriminals can use.

This milestone of internet and technology innovation enables promising and endless possibilities for businesses and governments to connect with consumers. If you work with projects for IoT devices, it is essential to understand how this technology can leverage your business and your career.

But for that to happen, the only question is, are you fully prepared to securely and privately deliver IoT products to your customers?

Cybersecurity Solutions To Build Trust

Developing an IoT device that offers a secure and reliable connection is the main challenge for cybersecurity specialists and companies that manufacture this technology.

Digital security must be part of the entire device lifecycle: design, manufacturing and during consumer use.

The system for an IoT device must be proactive, preventive and corrective for security, privacy, availability and data integrity. Check out some items that should be taken into account in this process to add the effectiveness of the product with confidence for the user:

  • Develop safe projects in terms of hardware, software and cloud hosting ;
  • Improve the company’s IT governance control;
  • Establish high safety standards;
  • Implement quality control systems;
  • Perform device vulnerability scans;
  • Use secure update and patch protocols;
  • Develop systems with encryption for data protection;
  • Perform security tests;
  • Develop a contingency plan against possible future threats;
  • Constantly monitor the system to detect potential cyber threats;
  • The user must know how this technology was produced to generate value and ensure reliability.

How To Protect Yourself?

Just as companies must do their part to ensure security and privacy when using devices connected to the Internet, end consumers also need to take precautions to make the most of the benefits of this technology.

The vast majority of devices with Internet of Things technology request personal information. You have to be very careful before connecting objects and providing data. Check out the necessary actions that users of IoT devices must perform.

  • Research the device before buying;
  • Use secure passwords;
  • Update the software whenever prompted;
  • Use systems with encryption for data protection;
  • Install official apps from the brand or safe sources;
  • Pay attention to devise settings;
  • Check for product vulnerabilities;

The physical and digital environments will increasingly communicate through internet connections and computers. The Internet of Things is an increasing and promising technology for Information Technology.

How Is The Internet Of Things Already Being Applied In Our Daily Lives?

The Internet of things, also called IoT by some, is already a reality for many people. Examples of the application of this technology in our daily lives are present, and we have separated some for you.

Television

Televisions are now bright and connected to the Internet. With the popularization of streaming apps like Netflix, people could model TV programming according to their tastes and time. Thus, it is no longer necessary to wait for the time television stations choose to watch a program, for example.

The traditional TV stations, such as Rede Globo and Rede Record, already have their applications for smart TVs, Globo Play and R7 Play, in the cited examples.

Clocks

The Apple Watch and similar watches are connected to the Internet, allowing access to various applications that facilitate people’s daily lives. It is possible to access social networks and reply to messages in chat applications, among other activities, through the watch.

In addition, digital watches are also widely used in physical activities to control the number of steps taken in a walk, the heart rate during the execution of a series of exercises, etc.

Glasses

Glass, the like, and VR devices are examples of how glasses can be classified as the Internet of things utilities.

Through these devices, it is possible to watch movies, view 360º photos, view videos as if you were in the place where they were taken, etc. All this through an object connected to the Internet.

Also Read: How Important Is The Internet Of Things And Its Applications

Nothing Phone 1 Beyond The Hype: Transparency

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Nothing Phone 1 Beyond The Hype: Transparency

Nothing Phone 1: Oneplus gained international relevance for its smartphones made with modern lines, sophisticated aspects in its construction, and good cost-benefit and performance.

In 2023, one of the founders of Oneplus presented the result of his new venture, the Nothing Phone 1, the first smartphone from Nothing that has attracted many people’s attention since its launch. Curious about the non-phone that is a smartphone? In this article, we better explain the attractions of the Nothing Phone 1.

Nothing’s Story

In early 2021, Nothing was created by Billionaire Carl Pei, co-founder of Oneplus, but of smartphones that also gained notoriety in many markets for its well-performing devices, including its first devices being considered “top of the line killers”. With Nothing, the proposal is already present in the name, with a series of products that go unnoticed or “disappear” in environments, for being transparent, like the the head phones TWS War 1.

No Phone, But A Lot Of iPhone

Amidst the doldrums of smartphone design, except folding ones, the Nothing Phone differs significantly from most Android devices. Still, there is explicit inspiration from the classic design of iPhones, whose similarities are evident, such as the rear in glass and the module with two cameras, in addition to the aluminum sides. 

Still, on the translucent back, this feature allows you to view the inside of the smartphone, but not sensitive parts such as the SOC with the chipset, GPU and other components. The back also has lights that turn on when the device is in use and serve as visual feedback for everyday notifications, such as messaging apps and sleep mode. 

Transparent And With Good Power

Despite the similarities with the iPhone, the performance capacity of the Nothing Phone 1 is different from that of a top-of-the-line, but enough to please a wide range of users. With a 778G Plus processor, the device is available in versions with Snapdragon 778 G +, in addition to versions with 8 GB of RAM and 128 GB of internal space or 12 GB of RAM with 256 GB of storage. Nothing Phone is a premium intermediary, capable of running everything and handling the most intense use routine—no maximum power and no crashes or chokes.

The device’s screen is also of quality, but within the current market average, being a 6.5-inch OLED display with Full HD+ resolution and a refresh rate of 120 Hz. The front camera is at the top left of the screen and has 16 MP. At the rear, we have two 50 M cameras, one wide and the other ultrawide, while video capability goes up to 4K at 30 frames per second with the primary lens. The battery is another standard specification for 2023, which does not compromise with its 4,500 mAh. 

Beautiful But Lousy Value For Money

Despite being quite stylish and not a top-of-the-line smartphone, there is currently Hype around the Nothing Phone, which makes the price high for a device with settings consistent with that of a premium intermediary. 

On Aliexpress, Nothing phone can be found for R$2,194 in its version with 8 GB of RAM and 128 GB of internal space. The version with 256 GB of storage costs R$2,415. At the time of publication of this text, we did not find availability for the more powerful version with 12 GB of RAM. The device will likely be taxed based on the values found.

So far, the device is most exciting for consumers who appreciate design innovations or like handsets that run away from standards. Despite having exciting specifications for all types of users, some “conventional” devices deliver more for a lower price, such as the Poco F4.

Also Read: What Is Hype Lapse Present In The Galaxy S23 Camera?