World of AI & Data
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Here’s a breakdown of key concepts and their applications:
1. Automation and Data Processing
• BChain (Blockchain): Secure, transparent transactions for payments and trading
• API (Application Programming Interface): Seamless data exchange for faster workflows
• RPA (Robotic Process Automation): Automates repetitive tasks to improve efficiency
• OCR (Optical Character Recognition): Text recognition for document processing
• DWH (Data Warehousing): Centralized storage for advanced financial analytics
2. Language Understanding
• ASR (Automatic Speech Recognition): Converts spoken language to text for transcription services
• GPT (Generative Pre-trained Transformer): AI models for customer support and content generation
• TTS (Text-to-Speech): Converts written data to spoken formats
• LLM (Large Language Model): Understands and generates human-like text for AI applications
• NLP (Natural Language Processing): Powers chatbots, fraud detection, and customer service
3. Data Analysis and Modeling
• ML (Machine Learning): Credit scoring and predictive algorithms
• DL (Deep Learning): Analyzes complex data for predictive insights
• K-NN (K-Nearest Neighbors): Customer segmentation and classification
• GAN (Generative Adversarial Network): Synthetic data generation for fraud detection
• PCA (Principal Component Analysis): Risk management and data reduction
• SVM (Support Vector Machines): Market analysis and anomaly detection
• K-M (K-Means Clustering): Organizes data for market segmentation and insights
• Naive Bayes: Quick, reliable classification for fraud detection
How many did you know?
