webinar-iconWebinar
date-icon2020
time-iconOn Demand

Optimize Supply Chains Using Machine Learning Superpowers

Supply chain superheroes manage disruption and manufacture products cheaper and faster. This crisis has shown us all how fragile the global supply chain actually is and why we need these superheroes more than ever before. Today’s supply chains are designed to take advantage of economies of scale, which drive down costs and drive up revenue — the downside is an over-dependence on just a handful of suppliers.

What if we can give supply chain analysts superpowers to leverage stunning visualizations powered by data science (AI/ML) and graph technology?

In this webinar, supply chain superheroes will learn about how human-guided machine learning (ML) improves visibility into manufacturing value streams through access to mastered, curated data on suppliers and materials. By watching this webinar, you'll learn how to:

  • Monitor KPIs across your entire supply chain and identify financial, quality, delivery implications quickly by exception.
  • Optimize your supply chain with “what-if analysis” and factor in all potential downstream implications of your rough-cut planning scenarios.
  • Enrich your internal data with external market factors, pandemic data, etc. to gain further insight with stunningly intuitive visualizations.

Fill in the form to watch this webinar.

Watch Now

Supply chain superheroes manage disruption and manufacture products cheaper and faster. This crisis has shown us all how fragile the global supply chain actually is and why we need these superheroes more than ever before. Today’s supply chains are designed to take advantage of economies of scale, which drive down costs and drive up revenue — the downside is an overdependence on just a handful of suppliers.

What if we can give supply chain analysts superpowers to leverage stunning visualizations powered by data science (AI/ML) and graph technology?

In this webinar, supply chain superheroes will learn about how human-guided machine learning (ML) improves visibility into manufacturing value streams through access to mastered, curated data on suppliers and materials. By leveraging ML to accelerate consolidation and categorization of disparate supply chain data sources, organizations can visualize the current state of material flow through manufacturing value streams and improve operations that deliver products to market faster. Once you gain visibility:

  • Monitor KPIs across your entire supply chain and identify financial, quality, delivery implications quickly by exception.
  • Optimize your supply chain with “what-if analysis” and factor in all potential downstream implications of your rough-cut planning scenarios.
  • Enrich your internal data with external market factors, pandemic data, etc. to gain further insight with stunningly intuitive visualizations.

Fill in the form to watch this webinar.

About the Speakers

Expero - Chris LaCava 1

Chris LaCava
VP of Product at Expero, Inc.

Chris has over two decades of experience defining, designing and building software for a variety of industry verticals. He has served as a product manager for both consulting and product-oriented organizations with experience as a usability engineer, interaction designer, front-end developer. Chris applies his multidisciplinary background to solve complex business challenges with solutions grounded in user-centered design

Sanjay Rajan

Sanjay Rajan
Head of Manufacturing Solutions at Tamr

Sanjay Rajan, helps business leaders drive successful outcomes from data-related industry 4.0 initiatives. Prior to joining Tamr, Sanjay led Digital Transformation Strategy at Siemens for over a decade and played a key role in delivering Autodesk’s Go-to-Market Strategy. Sanjay earned a PhD in Electronics at the University of Arkansas and received an MBA in Operations & Finance at the University of Rochester – Simon Business School.

 

Brian thompson

Brian Thompson
VP of Ventures at Expero

Brian serves as the VP of Ventures at Expero. He has previously held strategic and operational roles in SaaS and Tech Services businesses with a focus on solution architecture across manufacturing, telecommunications, financial services and high tech industries.