AI improves business processes, saves time on tasks and lowers costs.
We live in an era where technology is reshaping the business process landscape in unimaginable ways. At the heart of this revolution is the artificial intelligence (AI), a field of study that has led to surprising advances in numerous areas of application.
From a significant reduction in time spent on administrative tasks to substantial cuts in overhead costs, particularly those associated with customer service, AI has demonstrated an extraordinary ability to streamline and improve customer service processes. business.
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This significant impact of AI is reflected in increased global investments in this technology. The IDC Global Artificial Intelligence Spending Guide (V2 2022) predicts that worldwide investments in Artificial Intelligence (AI) – covering aspects such as software, hardware and services aimed at AI systems – are expected to reach a value close to US$ 300 billion by 2026.
In this text, we will explore this fascinating technology more deeply, covering the main types of artificial intelligence. Understanding these AI categories is crucial to unlocking the immense potential of this innovative technology and how it is redefining the future of business.
- Machine Learning: This is an integral part of artificial intelligence. The concept involves applying algorithms to analyze data. These algorithms, in turn, learn from that data, allowing them to make informed judgments. When executing tasks repeatedly, these algorithms improve performance through pattern recognition and experience, making the process increasingly efficient and accurate.
- Deep Learning: Deep learning is a subfield of machine learning. Its aim is to expand the learning power by teaching the representation of the world through a hierarchy of concepts. It reveals the connection between basic and more complex concepts, showing how complex concepts can be represented in a less abstract way.
- Natural Language Processing (NLP): It is a category of artificial intelligence that unites AI and linguistics to enable effective communication between humans and robots through natural language. Common examples of this application are virtual assistants, such as Siri and Alexa, which use NLP to answer user questions.
- Computer vision: Computer Vision is a type of AI that attempts to replicate the human ability to see and interpret the visual world. Whether in security, for facial recognition, or in retail, for analyzing customer behavior, computer vision has wide application.
- Explainable AI (XAI): Explainable AI, also known as XAI, aims to make AI processes more transparent and understandable for humans. XAI seeks to explain how an AI model operates, its intended impact and any biases it may have. This helps determine model accuracy, fairness, and transparency, making AI-powered decision-making easier.
- Artificial General Intelligence (AGI). This type of AI, also known as strong intelligence, refers to a machine with the ability to understand, learn and apply knowledge in a variety of tasks, similar to a human being. human.