Most prediction market contracts have low volume, leaving users exposed to volatility and bots

Low volume markets are not ideal for prediction market traders. For starters, prices can fluctuate widely, said Constantin ...

CI&T: Nike must embrace demand forecasting to weather competition

Melissa Minkow, Global Director of Retail Strategy at CI&T, discusses Nike earnings, consumer trends in the health and ...

AI-based demand forecasting creates planning reliability in the textile industry

How can sales figures be forecast more reliably, production capacities planned fully digitally, and employee know-how ...
GitHub

Autoresearch for weather dycores.

Autoresearch for weather dycores. Contribute to khzhao/dynamaxx development by creating an account on GitHub.
InfoQ

Inside Target’s LLM-Based System for Semantic Matching in Marketing Forecast Pipelines

Target built a generative AI system to improve marketing campaign forecasting by retrieving and ranking similar historical ...
IEEE

TSB-Forecast: A Short-Term Load Forecasting Model in Smart Cities for Integrating Time Series Embeddings and Large Language Models

Abstract: In smart cities, energy management systems are essential for efficient resource utilization, enhanced operational efficiency, and sustainability promotion. This work presents a novel load ...
IEEE

DIFFODE: Neural ODE with Differentiable Hidden State for Irregular Time Series Analysis

Abstract: Irregular time series analysis is increasingly essential in data management due to the proliferation of complex data irregularly sampled by real-world systems. Traditional time series models ...