{"id":7685,"date":"2024-03-13T12:00:44","date_gmt":"2024-03-13T12:00:44","guid":{"rendered":"https:\/\/scallent.com\/?p=7685"},"modified":"2024-03-13T12:12:04","modified_gmt":"2024-03-13T12:12:04","slug":"artificial-intelligence-and-machine-learning","status":"publish","type":"post","link":"https:\/\/scallent.com\/en\/posts\/artificial-intelligence-and-machine-learning\/","title":{"rendered":"Artificial Intelligence and Machine Learning"},"content":{"rendered":"

[vc_row type=”in_container” full_screen_row_position=”middle” column_margin=”default” column_direction=”default” column_direction_tablet=”default” column_direction_phone=”default” scene_position=”center” text_color=”dark” text_align=”left” row_border_radius=”none” row_border_radius_applies=”bg” overflow=”visible” overlay_strength=”0.3″ gradient_direction=”left_to_right” shape_divider_position=”bottom” bg_image_animation=”none”][vc_column width=”1\/4″ column_padding=”no-extra-padding” column_padding_tablet=”inherit” column_padding_phone=”inherit” column_padding_position=”all” column_element_spacing=”default” background_color_opacity=”1″ background_hover_color_opacity=”1″ column_shadow=”none” column_border_radius=”none” column_link_target=”_self” column_position=”default” gradient_direction=”left_to_right” overlay_strength=”0.3″ tablet_width_inherit=”default” tablet_text_alignment=”default” phone_text_alignment=”default” animation_type=”default” bg_image_animation=”none” border_type=”simple” column_border_width=”none” column_border_style=”solid” offset=”vc_hidden-xs”][vc_single_image image=”6761″ alignment=”center”][vc_column_text]<\/p>\n

Gabriela Polidoro Lima
\n<\/strong>UX Designer & Content Writer<\/span><\/h6>\n

[\/vc_column_text][\/vc_column][vc_column width=”3\/4″ column_padding=”no-extra-padding” column_padding_tablet=”inherit” column_padding_phone=”inherit” column_padding_position=”all” column_element_spacing=”default” background_color_opacity=”1″ background_hover_color_opacity=”1″ column_shadow=”none” column_border_radius=”none” column_link_target=”_self” column_position=”default” gradient_direction=”left_to_right” overlay_strength=”0.3″ tablet_width_inherit=”default” tablet_text_alignment=”default” phone_text_alignment=”default” animation_type=”default” bg_image_animation=”none” border_type=”simple” column_border_width=”none” column_border_style=”solid” offset=”vc_hidden-xs”][vc_column_text]We live in a new technological era, where every day new products and tools are created to make life and work more efficient, faster, more practical and easier. The development of new software produces a large number of tools and technologies that make it possible to achieve more with less.
\nTechnology has seen more changes in the last 12 months than in the last 10 years in total, thanks to one disruptive factor: Artificial Intelligence<\/strong>. And if 2023 was the year of consolidation, 2024 will be the year of operationalization.[\/vc_column_text][\/vc_column][\/vc_row][vc_row type=”in_container” full_screen_row_position=”middle” column_margin=”default” column_direction=”default” column_direction_tablet=”default” column_direction_phone=”default” scene_position=”center” text_color=”dark” text_align=”left” row_border_radius=”none” row_border_radius_applies=”bg” overflow=”visible” overlay_strength=”0.3″ gradient_direction=”left_to_right” shape_divider_position=”bottom” bg_image_animation=”none”][vc_column width=”1\/4″ column_padding=”no-extra-padding” column_padding_tablet=”inherit” column_padding_phone=”inherit” column_padding_position=”all” column_element_spacing=”default” background_color_opacity=”1″ background_hover_color_opacity=”1″ column_shadow=”none” column_border_radius=”none” column_link_target=”_self” column_position=”default” gradient_direction=”left_to_right” overlay_strength=”0.3″ tablet_width_inherit=”default” tablet_text_alignment=”default” phone_text_alignment=”default” animation_type=”default” bg_image_animation=”none” border_type=”simple” column_border_width=”none” column_border_style=”solid” offset=”vc_hidden-lg vc_hidden-md vc_hidden-sm”][vc_single_image image=”6761″ alignment=”center”][vc_column_text]<\/p>\n

Gabriela Polidoro Lima
\n<\/strong>UX Designer & Content Writer<\/span><\/h6>\n

[\/vc_column_text][\/vc_column][vc_column width=”3\/4″ column_padding=”no-extra-padding” column_padding_tablet=”inherit” column_padding_phone=”inherit” column_padding_position=”all” column_element_spacing=”default” background_color_opacity=”1″ background_hover_color_opacity=”1″ column_shadow=”none” column_border_radius=”none” column_link_target=”_self” column_position=”default” gradient_direction=”left_to_right” overlay_strength=”0.3″ tablet_width_inherit=”default” tablet_text_alignment=”default” phone_text_alignment=”default” animation_type=”default” bg_image_animation=”none” border_type=”simple” column_border_width=”none” column_border_style=”solid” offset=”vc_hidden-lg vc_hidden-md vc_hidden-sm”][vc_column_text]We live in a new technological era, where every day new products and tools are created to make life and work more efficient, faster, more practical and easier. The development of new software produces a large number of tools and technologies that make it possible to achieve more with less.
\nTechnology has seen more changes in the last 12 months than in the last 10 years in total, thanks to one disruptive factor: Artificial Intelligence<\/strong>. And if 2023 was the year of consolidation, 2024 will be the year of operationalization.[\/vc_column_text][\/vc_column][\/vc_row][vc_row type=”in_container” full_screen_row_position=”middle” column_margin=”default” column_direction=”default” column_direction_tablet=”default” column_direction_phone=”default” scene_position=”center” text_color=”dark” text_align=”left” row_border_radius=”none” row_border_radius_applies=”bg” overflow=”visible” overlay_strength=”0.3″ gradient_direction=”left_to_right” shape_divider_position=”bottom” bg_image_animation=”none”][vc_column column_padding=”no-extra-padding” column_padding_tablet=”inherit” column_padding_phone=”inherit” column_padding_position=”all” column_element_spacing=”default” background_color_opacity=”1″ background_hover_color_opacity=”1″ column_shadow=”none” column_border_radius=”none” column_link_target=”_self” column_position=”default” gradient_direction=”left_to_right” overlay_strength=”0.3″ tablet_width_inherit=”default” tablet_text_alignment=”default” phone_text_alignment=”default” animation_type=”default” bg_image_animation=”none” border_type=”simple” column_border_width=”none” column_border_style=”solid”][vc_column_text]<\/p>\n

Artificial Intelligence (AI)<\/strong><\/h1>\n

Artificial Intelligence (AI)<\/strong> is computer software that mimics human cognitive abilities to perform complex tasks that historically could only be done by humans, such as decision-making, data analysis, and language translation.
\nIn other words, it is code in computer systems explicitly programmed to perform tasks that require human reasoning. Although machines and automated systems follow a set of instructions and execute them unchanged, those using AI can learn from their interactions to improve their performance and efficiency.[\/vc_column_text][vc_single_image image=”7673″ img_size=”full” alignment=”center”][vc_column_text]While AI is the broad science of reproducing human capabilities, Machine Learning<\/strong> is a specific subset of AI that trains a machine to be able to learn. In other words, it is a method of analyzing data that automates the construction of analytical models<\/strong>. It is a branch of Artificial Intelligence based on the idea that systems can learn from data, identify patterns and make decisions with little human intervention.<\/p>\n

We know that technology is always advancing to improve and make people’s lives easier and when we analyze these advances from a professional perspective, more specifically code development<\/strong>, we realize that the benefits are even more impactful. As well as making it easier and quicker to create, these techniques make programming more accessible to non-specialists by automating tasks such as writing, synthesizing, checking, testing, and maintenance.<\/p>\n

And if Artificial Intelligence is playing a revolutionary role in the way society carries out its activities, programming is no exception. Development professionals can become even more efficient if they know how to apply the benefits of new technologies in practice, as well as collaborate with systems and take advantage of their insights and automation.[\/vc_column_text][vc_column_text]<\/p>\n

Other benefits:
\nTask automation<\/strong><\/h3>\n

Repetitive and monotonous tasks can be easily automated, creating more time for more valuable ones, such as those of greater value, such as developing algorithms and solving complex problems.<\/p>\n

Process optimisation<\/strong><\/h3>\n

AI algorithms can analyze application performance, identify bottlenecks, and suggest improvements. This allows for the optimization of codes, and greater software efficiency, and even helps with project management and the efficient allocation of resources.<\/p>\n

Assistance with decisions<\/strong><\/h3>\n

Providing valuable insights when analysing a large volume of data is a great aid to decision-making. For example, determining which resources should be prioritized, based on user feedback and analysis of usage data.<\/p>\n

Improving security<\/strong><\/h3>\n

Automate the detection of vulnerable points and identify suspicious activity and cyber attacks.[\/vc_column_text][vc_single_image image=”7675″ img_size=”full” alignment=”center”][vc_column_text]<\/p>\n

But how can Machine Learning algorithms be applied in practice?<\/strong><\/h2>\n

It is already possible to identify many examples of the application of Machine Learning in our daily lives and many sectors are already being impacted by this technology.<\/p>\n

Entertainment and Multimedia<\/strong><\/h3>\n

– Streaming platforms: use of recommendation algorithms to suggest programs and films to viewers.
\n– Social networks: personalized recommendations through searches, screen time and likes.<\/p>\n

Health and Medicine<\/strong><\/h3>\n

– Diseases: identification of diseases, more accurate diagnoses and improved treatments.
\n– Tests: analyzing medical images (X-rays and MRI scans) and identifying anomalies more assertively.
\n– Data analysis: detection of health trends and risks by analyzing data from a large number of patients, enabling more effective public health interventions.<\/p>\n

Finance<\/strong><\/h3>\n

– Fraud detection and risk analysis: identifying suspicious patterns in financial transactions to protect institutions and clients.
\n– Forecasting market trends: greater assertiveness and security when making investment decisions.<\/p>\n

Natural language processing (NLP)<\/strong><\/h3>\n

PLN is a sub-area of Machine Learning that converts information from computer databases into a language that is understandable to humans.
\n– Automatic conversion of information: automatic mobile phone corrector, language translation, virtual assistants, and chatbots.[\/vc_column_text][vc_single_image image=”7678″ img_size=”full” alignment=”center”][vc_column_text]Virtual Assistants<\/strong> became popular in 2011 with the launch of Siri by Apple. Since then, other examples have appeared on the market, which has helped them become popular and gain more space in people’s homes. A virtual assistant is nothing more than software designed to execute voice or written commands. They learn to understand voice patterns, and the way words are spoken, and deliver the best result for the command given. They can be connected to mobile phones, lamps, fridges, or television screens.<\/p>\n

The Internet of Things (IoT)<\/strong> is the name given to the integration between these products and the internet, i.e. they work when connected to Wi-Fi and can be used remotely.
\nAlguns exemplos dispon\u00edveis no mercado:
\n– Amazon’s Alexa:<\/strong> launched in 2014 as a “voice-controlled artificial intelligence”, it responds to commands to play music, read the news, and dim light bulbs.
\n– Cortana, by Microsoft:<\/strong> launched in the same year, it is described as a productivity assistant that “will help you save time and focus on what’s most important”.
\n– Apple’s Siri:<\/strong> the first version was launched in 2011 with technology, but is now able to perform complex tasks using voice commands.<\/p>\n

But the importance of these products goes far beyond responding to the commands they are given, they play an essential role when it comes to accessibility for people with disabilities.<\/strong> Increasing autonomy and carrying out tasks that might previously have seemed challenging are just some of the benefits. In addition, calling for help in dangerous situations can be much easier and safer when using this type of technology. A great advantage!<\/p>\n

Capable of creating text, images and videos from commands, with impressive speed and quality, chatbots<\/strong> are generative Artificial Intelligence tools. The most popular ones currently available are:
\n– Merly.ai, the AI assistant:<\/strong> it helps programmers understand, correct and maintain complex c, while providing information tracking ,g and summaries on code quality.
\n– GitHub Copilot, the AI pair programmer:<\/strong> suggests code and functions in real time. According to GitHub itself, this tool has a real impact on the productivity and happiness of software development teams.
\n– OpenAI Chat GPT, the chatbot:<\/strong> generates code fragments in various programming languages based on immediate examples. The generated code is kept in context in the conversation and can be changed, improved, or corrected during the process, simulating interaction with a real human being.[\/vc_column_text][vc_single_image image=”7680″ img_size=”full” alignment=”center”][vc_column_text]It is important to emphasize that while these applications bring significant benefits, they also raise ethical and privacy issues that need to be addressed carefully. Responsible exploitation of resources must be at the center of systems development and not only involves moral considerations but also preventing negative impacts and ensuring beneficial development.<\/p>\n

Some of the main ethical challenges<\/strong> related to Artificial Intelligence:
\n– Trends and discrimination<\/strong>: Algorithms are trained based on existing data and can contain inbuilt biases and discrimination, leading to unfair decisions and social inequalities.
\n– Privacy and security:<\/strong> With the massive collection of data, AI can cause people’s privacy to be violated through the misuse of personal information.
\n– Responsibility and transparency:<\/strong> The opacity of AI systems can make it difficult to attribute responsibility in the event of errors or accidents caused by intelligent machines.
\n– Technological unemployment:<\/strong> AI-driven automation could lead to the displacement of traditional jobs, encouraging an ethical approach to the re-employment and re-skilling of the workforce.
\n– Machine autonomy:<\/strong> With the advance of AI comes the possibility of autonomous machines making critical decisions without human intervention, raising questions about ethics.
\n– Information manipulation:<\/strong> Dissemination and creation of false information and manipulation of content can be done through AI.
\n– Human-machine relations:<\/strong> As machines become more intelligent and interactive, it becomes relevant to think about the issue of empathy and ethics in human-machine relations.<\/p>\n

In order to minimize the impact of these challenges, measures can be taken such as:
\n– Ensuring diversity in data<\/strong> to train algorithms to be diverse and representative of society.
\n– Developing transparent systems<\/strong> allowing users to understand how decisions are made.
\n– Establishing regulations and ethical standards<\/strong> to guide responsible use and protect individual rights.
\n– Educate and raise<\/strong> awareness about ethical issues to promote conscious and responsible use.
\n– Work collaboratively<\/strong> to address ethical issues between companies, governments, academic institutions, and civil society.<\/p>\n

The future is deeply intertwined with AI, and those who embrace this partnership are destined to become the most efficient and successful programmers of tomorrow. A new technological era is approaching which will have a tremendous impact on the IT industry, so embracing and adapting to this change will position many professionals and organizations for digital success in the coming years.[\/vc_column_text][vc_column_text]Fontes das imagens:<\/strong>
\nImagem Machine Learning
\nhttps:\/\/www.linkedin.com\/pulse\/machine-learning-qual-o-seu-papel-da-sociedade-t%C3%A2nia-marante\/?originalSubdomain=pt<\/p>\n

Imagem Chatbots
\nhttps:\/\/itforum.com.br\/noticias\/7-mitos-sobre-chatbots-e-assistentes-virtuais\/<\/p>\n

Imagem AI
\nhttps:\/\/blog.axians.pt\/machine-programming-ia-no-desenvolvimento-de-software<\/p>\n

Imagem \u00c9tica
\nhttps:\/\/medium.com\/data-hackers\/explainable-ai-extraindo-explica%C3%A7%C3%B5es-e-aumentando-a-confian%C3%A7a-dos-modelos-de-ml-3a89b7b5a584[\/vc_column_text][\/vc_column][\/vc_row]<\/p>\n<\/div>","protected":false},"excerpt":{"rendered":"

[vc_row type=”in_container” full_screen_row_position=”middle” column_margin=”default” column_direction=”default” column_direction_tablet=”default” column_direction_phone=”default” scene_position=”center” text_color=”dark” text_align=”left” row_border_radius=”none” row_border_radius_applies=”bg” overflow=”visible” overlay_strength=”0.3″ gradient_direction=”left_to_right” shape_divider_position=”bottom” bg_image_animation=”none”][vc_column width=”1\/4″ column_padding=”no-extra-padding” column_padding_tablet=”inherit” column_padding_phone=”inherit” column_padding_position=”all” column_element_spacing=”default” background_color_opacity=”1″ background_hover_color_opacity=”1″ column_shadow=”none” column_border_radius=”none” column_link_target=”_self” column_position=”default” gradient_direction=”left_to_right” overlay_strength=”0.3″ tablet_width_inherit=”default” tablet_text_alignment=”default” phone_text_alignment=”default” animation_type=”default” bg_image_animation=”none” border_type=”simple” column_border_width=”none” column_border_style=”solid” offset=”vc_hidden-xs”][vc_single_image image=”6761″ alignment=”center”][vc_column_text] Gabriela Polidoro Lima UX Designer & Content Writer [\/vc_column_text][\/vc_column][vc_column width=”3\/4″ column_padding=”no-extra-padding” column_padding_tablet=”inherit” column_padding_phone=”inherit” … <\/p>\n

Continue reading “Artificial Intelligence and Machine Learning”<\/span><\/a><\/p>\n","protected":false},"author":1,"featured_media":7684,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[190],"tags":[149,188],"class_list":["post-7685","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-tecnologia","tag-inteligencia-artificial","tag-machine-learning"],"acf":[],"yoast_head":"\nArtificial Intelligence and Machine Learning - SCALLENT - Top Talent Freelancers<\/title>\n<meta name=\"description\" content=\"The world of Artificial Intelligence and Machine Learning is transforming our lives.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/scallent.com\/en\/posts\/artificial-intelligence-and-machine-learning\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Artificial Intelligence and Machine Learning\" \/>\n<meta property=\"og:description\" content=\"The world of Artificial Intelligence and Machine Learning is transforming our lives.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/scallent.com\/en\/posts\/artificial-intelligence-and-machine-learning\/\" \/>\n<meta property=\"og:site_name\" content=\"SCALLENT - 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