Data AI
Guide to AI-powered data prediction, natural language queries, automated analysis and insight generation
🤖 What is Data AI?
Data AI is an innovative field that combines artificial intelligence with data to realize prediction, analysis, and automation. It maximizes data value through machine learning, natural language processing, and automated insight generation.
📋 Key Areas
🔮 AI-powered Prediction & Analysis
Data prediction and analysis using machine learning
💬 Natural Language & Data Queries
Data access and analysis through natural language
🔍 AI-powered Data Quality
Automated data validation and cleaning
💡 Core Features
Predictive Analytics
Accurate data prediction and trend analysis using machine learning
Natural Language Processing
Convert natural language to SQL and enable intuitive data queries
Automation
AI-based automated data analysis, visualization, and insight generation
Real-time Processing
Real-time AI analysis and processing of streaming data
📝 Related Posts
📚 Data ai Posts
Part 4: Latest Generative AI Models - TimeGPT, Lag-Llama, Moirai, Chronos
Part 3: Transformer-Based Time Series Forecasting Models
Part 2: Deep Learning-based Time Series Forecasting - N-BEATS and DeepAR
Evolution of Time Series Forecasting: From Traditional Methods to Latest AI Models
Part 1: Fundamentals of Time Series Forecasting - From ARIMA to Prophet
Posts Coming Soon
Additional posts in the Data AI category will be published soon!
🛠️ Key Tools
Large Language Models (LLM)
- GPT-4 / Claude
- LLaMA / Mistral
- LangChain
- Hugging Face
AutoML & Machine Learning
- AutoGluon
- H2O AutoML
- PyCaret
- Scikit-learn
Vector Databases
- Pinecone
- Weaviate
- Chroma
- Qdrant
MLOps & Pipelines
- MLflow
- Kubeflow
- Airflow
- Prefect