Firstly, what is AI?
AI (Artificial Intelligence) refers to the simulation of human intelligence in machines that are designed to think and act like humans. AI systems are trained to perform tasks that typically require human-like decision-making and problem-solving skills, such as speech recognition, object recognition, decision making, and language translation. There are different types of AI including narrow or weak AI which is designed for a specific task, and general or strong AI, which has the ability to perform any intellectual task that a human can. The development of AI is based on the idea that a machine can be made to learn from data, identify patterns, and make decisions with minimal human intervention.
And how can AI support Data Analytics?
AI can support data analytics by automating various tasks, providing predictive insights and enabling faster data processing and analysis. AI algorithms such as machine learning and deep learning can be used for pattern recognition and to make predictions based on historical data. AI can also support natural language processing to extract insights from unstructured data such as text, images, and audio. Additionally, AI-powered visualisations and dashboards can simplify complex data and provide a more intuitive way to access insights.
What about ChatGPT?
ChatGPT, being an AI language model developed by OpenAI, can also be used for text generation tasks such as generating reports, summaries, and insights from data. ChatGPT can be integrated with other data analytics tools to provide a conversational interface for accessing and analyzing data, making it easier for users to interact with and understand complex data sets. Additionally, ChatGPT can be trained on specific data sets to provide customized and domain-specific insights, making it a valuable tool for organisations looking to extract insights from their data.