Unlocking Supply Chain Efficiency through Data and Decision Trees

2:25pm

HomeAgendaUnlocking Supply Chain Ef…

Session Overview

With constrained supply chains and logistic networks, it has become increasingly difficult to plan operations that are efficient and profitable. In a multimodal transportation process, wide variability in impelling factors leads to long tails in the arrival times’ distributions making it harder to predict. Traditionally prevalent machine learning approaches that provide a single-point prediction of arrival time fall short on accuracy and equally pivotal – stability of estimation.

The solution presented in this talk demonstrates that a more practical estimation of arrival times can be provided by exploiting the leaf nodes on tree-based models combined with a network model. The talk will also cover how to prepare training and test data to minimize data leak. It will demonstrate the details of quantifying the stability metric and optimizing the algorithm for the appropriate ratio of accuracy and window. This approach led to a gain in accuracy and proven efficiency in stable planning.

The Why: A novel machine learning approach to predict arrival times for unusual events, and how to quantify its effectiveness for stable planning.

Key Takeaways:

  • How to use real-time feature engineering and handle its challenges.
  • Unconventional integration of machine learning and network models
  • Designing right metrics and KPIs for arrival time predictions

This session is for… Data Scientists, Data Engineers, Product managers, Business Analysts.

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  • Digital Transformation
  • Premium Only

Embarking on a data transformation is like renovating your house while living in it – it’s challenging, but possible! In this engaging 60-minute workshop, you’ll learn why data transformations often fail, explore a practical framework that minimizes risks and delivers consistent business results, and discover tactics for navigating out of failures.

Whether you’re responsible for delivering data projects or a stakeholder who relies on data, this session will provide you with a pragmatic blueprint for success. You’ll walk away with practical, actionable strategies that will help you transform your data and enable your team to win with data.

The Why: Data is an essential asset for organizations, and data transformations are critical to unlocking its value. However, data transformations are complex and challenging, and many organizations struggle with failures and setbacks along the way. By attending this session, attendees will gain a deeper understanding of the common pitfalls of data transformations and how to overcome them. They will also learn a practical framework that will help them minimize risks, deliver consistent business results, and navigate through failures, enabling them to succeed in their data transformation initiatives.

Key Takeaways:

  • Learn about the common reasons why data transformations fail and how to overcome them
  • Discover a practical framework and strategy that minimizes risks and delivers consistent business results
  • Failures happen, explore tactics for navigating out of them, ensuring that you can successfully complete your data transformation projects

This session is for… anyone who is responsible for delivering data projects, stakeholders who rely on data, or users of data. Sample profiles could include data analysts, data scientists, data engineers, business analysts, product owners, IT managers, and executives who oversee data initiatives. Regardless of your role or experience level, this workshop will provide you with practical, actionable strategies that will help you transform your data and enable your team to win with data.

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