Скачать или смотреть Mayank Tewari , Dr. Prakash from ZS Associates at Cypher 2018

Driverless Forecasting: Solving Short-Term Needs

www.analyticsindiasummit.com

Forecasting comprises of short-term and long-term plans and is critical for success of any business as it helps to maneuver future uncertainty. Short-term forecasting is used across industries to respond to their supply and demand planning needs. The short-term forecasting is critical as it ensures accuracy to minimize uncertainties and be agile to adapt to unforeseen situations. As the performance of forecasting methods strongly depends on multiple factors such as domain, frequency, length, characteristics and horizon, they make efficient short-term forecasting a challenging problem. In this workshop, we will cover framework and examples for driverless forecasting which aims to achieve accuracy and agility by using statistics and machine learning theory in practice.