Mayflower - Building your own AI Captain: A Technical Deep Dive

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When:  Oct 20, 2021 from 08:00 AM to 09:30 AM (PT)

The Mayflower Autonomous Ship is a pioneering and truly independent vessel. Completely uncrewed, it uses a set of commercially available IBM technologies to sense the world around it, predict changes, and decide what to do next to achieve its mission.

To help you understand the technology involved, Decision Management Solutions and IBM have put together a team of technical experts for a live webinar on September 16th at 11 am EDT/8 am PDT/11. We’ll demonstrate our real-world experience of applying these technologies so you will see how each component works, both independently and together to deliver maximum business value.

The AI Captain makes decisions for the ship that apply the best practices defined by experienced sailors. The rules are compliant with international regulations and use machine learning and artificial intelligence to sense and understand the behavior of other vessels, wind and wave patterns. All this technology is available to you now, to build an AI Captain for your business. Join us for this 90 minute session to see how it really works and answer your questions live. This technical deep dive will introduce you to all of these cutting-edge technologies.



Charlotte DeKeyrel, Decision Modeler Decision Management Solutions

Charlotte is an experienced decision modeler, applying standard notations and the DecisionsFirst™ approach to help clients address their top business problems.


Ryan Trollip, CTO Decision Management Solutions

Ryan leads Decision Management Solutions services and development organizations, helping clients implement digital decisioning solutions across a wide range of industries.


Guilhem Molines, Architect – Decision Automation IBM

Guilhem is the architect for Decision Automation in the CloudPak for Business Automation, specially focused on Decision Modelling and Deployment. Member of CTO Office.


Jerome Joubert, Senior Product Manager, IBM Business Automation

Jerome defines offering and go-to-market strategy for IBM’s Decision Automation product line.


Antony Viaud, Product Manager for Decision Management, IBM Automation

Antony leads product management for Automation Decision Services, part of IBM Cloud Pak for Business Automation, as well as for IBM Operational Decision Manager.


Greger Ottosson, Product Manager, AI and Machine Learning, IBM Automation

Greger leads AI strategy for Business Automation, focused on integrating and applying Machine Learning for more efficient business processes and more intelligent operational decisions.


Online Instructions: