AI Demand Forecasting for Retail
Machine learning-based demand forecasting that accounts for seasonality, promotions, external factors, and long-tail product behavior.
Time-Series
Amazon Forecast - Time Series Forecasting
A comprehensive reference for Amazon Forecast: managed time series prediction, predictor training, and integration patterns for demand …
Amazon Timestream - Time Series Database
A comprehensive reference for Amazon Timestream: purpose-built time series storage, query patterns, and integration with IoT and operational …
Amazon Timestream vs DynamoDB for Time-Series Data
Comparing Amazon Timestream and DynamoDB for time-series data storage, covering query capabilities, data lifecycle, and AI/ML integration.
ARIMA
Autoregressive Integrated Moving Average model for time series forecasting, including SARIMA for seasonal patterns.
Azure Anomaly Detector - Time Series Anomaly Detection
Azure Anomaly Detector is an AI service that identifies anomalies in time series data using machine learning models that automatically adapt …
Azure Data Explorer - Real-Time Analytics and Time Series Database
Azure Data Explorer is a fast, fully managed data analytics service optimized for real-time analysis of large volumes of streaming and time …
Case Pattern: Predictive Maintenance AI for a Manufacturing Plant
Architecture and lessons from deploying AI-driven predictive maintenance across 200+ machines in a continuous manufacturing operation.
Cloud Bigtable - Wide-Column NoSQL Database
Google Cloud Bigtable is a fully managed, scalable NoSQL wide-column database designed for low-latency, high-throughput workloads including …
InfluxDB - Purpose-Built Time Series Database
InfluxDB is an open-source time series database designed for high-write-throughput storage and real-time querying of timestamped data from …
Prometheus - Open-Source Monitoring and Alerting
Prometheus is an open-source systems monitoring and alerting toolkit designed for reliability, featuring a dimensional data model and …
Temporal Convolutional Network
How causal dilated convolutions provide an efficient alternative to RNNs for sequence modeling with parallelizable training.
Time Series Analysis Foundations
Comprehensive guide to time series forecasting methods including ARIMA, SARIMA, Prophet, seasonal decomposition, and practical …
Time Series Forecasting with AI
A practical guide to time series forecasting for business applications, covering classical methods, machine learning approaches, deep …
TimescaleDB - Time-Series Database on PostgreSQL
TimescaleDB is an open-source time-series database built as a PostgreSQL extension, optimized for fast ingest and complex queries on …