Ant Group's Time Series AI Practices and the AntFlux Intelligent Engine

Introduction Ant Group shares its practice in time‑series AI, including the AntFlux intelligent engine and concrete business applications.

1. Value of Time Series Time series data rank just behind structured data in importance, powering domains such as video, audio, IoT, finance, weather, traffic, supply‑chain, and autonomous driving.

2. Time‑Series AI Techniques The article reviews three generations of models: (1) statistical models like Holt‑Winter and ARIMA, (2) deep learning models such as TCN, N‑BEATS, DeepAR, Autoformer, and (3) large‑scale models like Time‑LLM, iTransformer, and Memory‑Augmented State‑Space Models, highlighting their strengths, limitations, and use‑cases.

3. Ant Group’s Proprietary Algorithms Models such as APTN, DeepAR+, BiDA, EMSSM, NHPI, HYPRO, PromptTPP, LAMP, Hier‑Transformer‑CNF, SLOTH, FlowHTS, and Time‑LLM are introduced to address data sparsity, multimodal inputs, uncertainty quantification, hierarchical forecasting, and asynchronous series.

4. AntFlux Platform AntFlux provides an end‑to‑end time‑series solution with modules for insight (anomaly detection, feature generation), forecasting (automated model selection), asynchronous modeling, AI‑Studio components (drag‑and‑drop modeling), workflow orchestration, research, and community support.

5. One‑Stop Service The platform integrates data ingestion, model training, evaluation, deployment, monitoring, and operation, enabling scalable and reliable production pipelines.

6. Business Applications AntFlux powers three categories of use‑cases: time‑series insight (historical analysis, anomaly detection), forecasting (capacity planning, risk pricing, supply‑chain), and decision‑making (predictive planning, control) with a focus on green computing and carbon‑neutral goals.

7. Q&A The session addresses challenges such as multi‑modal forecasting, model interpretability, scalability, and future directions for time‑series research.

Overall, the article demonstrates how Ant Group leverages advanced AI techniques and a robust platform to unlock the value of temporal data across diverse business scenarios.