IA en equipos de data
Usar IA para programar es inevitable
Manejo de bases de datos
Crear tablas en SQL con GitHub Copilot
Consultas de SQL con GitHub Copilot y ChatGPT
Depuración de código usando inteligencia artificial
Documentación de código con Notion AI
Procesamiento de datos
Recolección de datos con ChatGPT como asistente
Limpieza de datos con Python y GitHub Copilot
Pruebas unitarias con GitHub Copilot
Visualización y análisis
IA para análisis de datos con Python
IA para visualización de datos y storytelling con Python
Análisis de datos con Data Analysis de ChatGPT
People Analytics con ChatGPT
Análisis de ventas con ChatGPT
Análisis de pérdida de clientes con ChatGPT
Análisis automático de gráficas e imágenes
Generación de datos
Generación de datasets con GPT-4
Aprendizaje y formación
Aprender o profundizar en nuevos conceptos
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In a world increasingly defined by technology, where complex images and graphics often tell deeper stories than mere words, having tools capable of interpreting these images is crucial. This is where the capabilities of artificial intelligence, especially the advances with GPT chat in its Plus or Enterprise versions, come to the fore. This innovation not only makes it possible to analyze texts, but also images, expanding the analytical possibilities and facilitating the understanding of complex data.
When using GPT-4, users have the ability to upload images through an intuitive interface. Once an image is selected and uploaded from the hard disk, precise instructions can be sent to the system to analyze its contents.
Users can, for example, ask the AI to "analyze the image". The AI's response is presented in clear and understandable text format. If we take a graph showing the evolution of AI performance compared to human capability on specific tasks, GPT-4 can perform a detailed reading, pointing out:
This level of detail not only facilitates the interpretation of graphs for analysts, but also democratizes access to this interpretation, making it accessible to a wider audience.
If we upload a graph related to annual investments in artificial intelligence research, GPT-4 can highlight key trends and events, such as:
When receiving interpretation of a chart, it remains vital that users exercise critical judgment. While GPT-4 provides concise and relevant analysis, it is the responsibility of analysts to integrate this data with contextual knowledge, such as the macroeconomic reasons behind an investment peak in 2021. AI can provide hypotheses based on its database, but specific details, such as the effects of inflation, may require deeper analysis by users.
The incursion of artificial intelligence, such as that offered by GPT-4, into image analysis opens up a range of possibilities for processing information at a speed and level of detail that previously seemed reserved for data-intensive experts. It encourages us to learn to collaborate and to complement human analysis capabilities with the precision and processing speed of artificial intelligence.
The present and future of data analytics is marked by this synergy between artificial and human intelligence, and it becomes essential for all of us to understand not only how these tools can be used, but also to recognize our own responsibilities in interpreting and applying the findings generated by these powerful technologies.
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Questions 1
Con el lanzamiento de GPT’s personalizados el análisis de imágenes y gráficas ahora es más preciso.
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