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Interactive Webinar Series: Machine Learning business cases

Hosted by Cumulus Park Studio
Hosted by Cumulus Park Studio
Date
30 Sep 2020
Time
16:00 - 17:00
Max participants
50
Price
Free
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Webinar 1: Machine Learning business cases in Supply Chain

Increasing uncertainty about the future requires innovations with a business case that has direct impact on business performance. Machine Learning (ML) applications provide many opportunities, especially for Mid-Market organizations.

In a series of three interactive webinars real life use cases in different parts of the Mid-Market organization are discussed. In addition, participants will be discussing their challenges and opportunities for Machine Learning in their own organization during the break-out sessions with peers and ML experts. Discover in Part 1 how Machine Learning use cases such as stock optimization and purchase decision support can contribute to cost reduction, margin increase and spreading of risk: ML business cases in Supply Chain.

In Part 2 we will focus on Machine Learning business cases in Operations, and Part 3 is totally dedicated to Marketing & Sales. Keep an eye on our event overview for these webinars.

Challenges and take-aways

Your challenges

  • Improving your business performance while the business landscape is increasingly uncertain
  • You saved data for many years, but are unsure how to start leveraging it

Your take-aways

  • Learn how Machine Learning can be used to improve business performance in your supply chain process
  • Understand its potential for cost reduction, margin increase and spreading of risk in your organization

What can you expect

  • Introduction: Where can you find opportunities for Machine Learning in the supply chain?
  • Real life case: We will deep-dive into the real life case of Berkman, which transformed from an oil trader to a Machine Learning driven tech-company.
  • Break-outs: You will discuss the challenges and opportunities of Machine Learning in your own organization

Knowledge partner

Nick Jetten is co-founder and commercial director of Enjins. Enjins helps scale-ups and Mid-Market organizations to design, develop and implement Machine Learning solutions. Nick will share his thoughts on Machine Learning and the challenges he came across in this landscape.

Who should attend

Owners, board members, senior management, CFO, supply chain managers, procurement managers, product owners in Mid-Market organizations

*Technical knowledge in the area of Machine Learning is not required.

Speakers

Nick Jetten

Co-founder Enjins

Nick Jetten is co-founder and commercial director of Enjins. Enjins helps scale-ups and mid-market organizations to design, develop and implement Machine Learning solutions.

Tim Resink

Machine Learning engineer at Enjins

Tim is working together with companies to determine data and machine learning strategies that add real value, designing and developing appropriate solutions and integrating them in business processes.

Meldy van Dijken

Program manager Cumulus Park Studio

Meldy van Dijken MSc MBA is program manager at Cumulus Park Studio, focusing on bringing content and building partnerships in an ecosystem for collaborative innovation.

Program

16:00
Introduction: Machine Learning business cases in Supply Chain
16:15
Berkman case
16:35
Break-out sessions
16:50
Wrap-up
17:00
End
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