ia

Inteligencia

Artificial

How does artificial intelligence (AI) work?

By using mathematics and logic, a computer system simulates the reasoning people follow to learn from new information and make decisions.

A computer system with artificial intelligence makes predictions or performs actions based on the patterns of the available data and can learn from its mistakes to be more accurate. Advanced artificial intelligence processes new information very quickly and accurately, making it very useful for complex scenarios such as driverless cars, image recognition programs, and virtual assistants.

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Relationship between artificial intelligence and robotics

Normally, a robot has a physical form and the software that controls it. Robots controlled with artificial intelligence software move autonomously, they do not need direct instructions from a user. But not all robots are controlled with artificial intelligence, nor does all artificial intelligence require a physical form.

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Relationship between artificial intelligence and machine learning

Machine learning is considered a subset of AI. Machine learning focuses on training computer teams to analyze data and learn in that process just like people do. Therefore, machine learning is a technique that helps to develop artificial intelligence systems.

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Relationship between artificial intelligence and cognitive APIs

APIs (application programming interfaces) connect applications to other systems, services, or applications. When using cognitive APIs, access to a library of domain-specific intelligent models is requested.

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Relationship between artificial intelligence and data science

Both artificial intelligence and data science involve gathering, analyzing, and collecting large data sets, but they have different goals. Artificial intelligence focuses on how computer teams can make decisions based on data. Data science, on the other hand, focuses on using mathematics, statistics, and machine learning to extract insights from data.

Build innovative AI solutions

Discover Azure AI, a portfolio of AI services designed for developers and data scientists. Leverage decades of innovative research, responsible AI procedures, and the flexibility Azure AI offers to build and deploy your own AI solutions. Access high-quality vision, voice, language, and decision-making AI models through simple API calls, and build your own machine learning models with tools like Jupyter Notebooks, Visual Studio Code, and open source frameworks, like TensorFlow and PyTorch.

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Specialized AI services for specific business scenarios

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A complete family of customizable cognitive APIs for vision, voice, language, and decision making.

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A complete platform for creating, training and implementing Machine Learningmodels.

  • Develop solutions with the tools you want with  Jupyter  Notebook,a designer with drag-and-drop functionality  and machine learning.
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Advanced large-scale AI infrastructure and innovative training tools

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  • Access a wide range of AI hardware with specialized hardware, such as FPGAs, the most comprehensive set of GPUs, and a general-purpose CPU array.

Build innovative AI solutions

Create solutions as you prefer

Access frameworks, tools, and features for developers and data scientists of any knowledge level.

Deploy critical AI solutions

Use the same proven AI services that the AI features of Xbox, HoloLens, and Microsoft Teams are based on.

Use artificial intelligence responsibly

Get tools, services, and instructions that help you use AI responsibly, while maintaining data privacy, transparency, and trust.

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Make ARTIFICIAL intelligence a reality today for your business in the cloud and at the edge

Only Azure extends its capability with the most advanced machine learning features. Build, train, and deploy your machine learning models quickly and easily with Azure Machine Learning  and  Azure Databricks. Use the latest tools, such as Jupyter and Visual Studio Code, along with frameworks such as  PyTorch Enterprise, TensorFlow,  and   Scikit-Learn. Expand your data science teams and build models in less time with tools that require little or no programming work, such as  machine learning and a  drag-and-drop interface. In addition, you can easily deploy large-scale solutions with  Azure Kubernetes Service (AKS)  and optimize machine learning inference with the ONNX Runtime.se las herramientas más recientes, como Jupyter y Visual Studio Code, junto con marcos como PyTorch Enterprise, TensorFlow y Scikit-Learn. Amplíe sus equipos de ciencia de datos y cree modelos en menos tiempo con herramientas que requieren muy poco o ningún trabajo de programación, como el aprendizaje automático automatizado y una interfaz que permite arrastrar y colocar elementos. Además, puede implementar soluciones a gran escala fácilmente con Azure Kubernetes Service (AKS) y optimizar la inferencia de aprendizaje automático con ONNX Runtime.machine learning
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Develop enterprise-grade conversational AI experiences and stay in control of your data with Azure Bot Service. Create multilingual and multimodal bots for almost any scenario, from sales to customer service to employee productivity.

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Convert documents into useful data in no time and at low cost by automating information extraction with Azure Form Recognizer. Accelerate document processing to accurately extract text, key-value pairs, tables, structures, and other useful information from documents.

machine learning

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machine translation

Transcribe speech with high precision, create natural-sounding voices from text, and translate spoken audio with voice service.

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Modernize financial operations and combat criminal acts

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Fight financial crime

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Improve your customers' experience

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Modernize basic banking

Automate processes and gain insights from unstructured data, with form recognition and natural language processing, and use artificial intelligence to enable faster, streamlined, and more secure operations.

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