In this digital symposium, senior executives from Blue Yonder and Microsoft will review new technologies and case studies that demonstrate how machine learning is making supply chains more intelligent, more intuitive, more predictive and more capable of delivering to customers when, how and where they want.

November 5, 2018

Date: Jun 17, 2021

COVID-19 has put the world’s supply chains to the test. How can AI/ML help to navigate unpredictable demand and supply, expanding sales channels, skill shortages, trade restrictions and more, ensuring that supplies get to the people who need them?

In this digital symposium, senior executives from Blue Yonder and Microsoft will review new technologies and case studies that demonstrate how machine learning is making supply chains more intelligent, more intuitive, more predictive and more capable of delivering to customers when, how and where they want.

Why Blue Yonder for AI?
Now you can translate real-time data into faster, smarter, more profitable business decisions. With access to the power of artificial intelligence (AI), you can focus on the real exceptions in your supply chain. Blue Yonder leverages industry-leading AI and machine learning (ML) to see deviations automatically and identify risks early. This combination gives you complete supply chain visibility and precise recommendations that enable more accurate decisions.

Why Microsoft Azure for AI?
Get proven, secure, and responsible AI capabilities on your terms with Microsoft Azure AI. Build mission-critical solutions that can analyze images, comprehend speech, make predictions using data, and imitate other intelligent human behaviors—all using Azure AI.

Accelerate the end-to-end machine learning lifecycle

Empower data scientists and developers with a wide range of productive experiences to build, train, and deploy machine learning models and foster team collaboration. Accelerate time to market with industry-leading MLOps—DevOps for machine learning. Innovate on a secure, trusted platform, designed for responsible machine learning.

Key takeaways:

  • Leverage AI/ML and automated planning assistant capabilities to mitigate potential network disruptions through ML-based resolution recommendations

  • Solutions based on an extensible, AI-powered end-to-end platform

  • Leverage an advanced user interface and collaboration tools to improve decision making, usability, “ownership” and time to value without having to open excel or other solutions

This critical digital symposium is for industry professionals who need to:

  • Address the impact of channel complexity, dynamic consumer demographics, trade concerns, sustainability, growth in inventory driven by increased uncertainty, and supply chain skill shortages

  • Go beyond traditional response-planning solutions, moving from “read and react” to “predict and pivot” planning approaches to act before incurring negative business impacts

  • Minimize lost sales, minimize delays

  • Reduce and eliminate fire-fighting

  • Increase customer service levels

  • Reduce logistics costs and inventory levels

  • Increase productivity through automation

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