Abstract:

The greatest impact to value is being able to build and deploy solutions quickly and at scale
The foundation of this is standardization
We learned in past projects that we can solve problems, but scaling and operating those solutions is difficult
1. Solutions were built using different technologies
2. Solutions treated data differently (a truck was not a truck)
3. Solutions were not built for operational sustainment
The online environment is full of bad actors and other risks, we have seen recent evidence of this
Platform engineering provides solution developers with a toolkit to be able to rapidly develop and deploy their solutions in a way that is secure, scalable and supportable
Adoption of cloud technologies in the platform provides the ability to extend our reach across the globe
Customers, large and small, benefit from the scalability of the cloud to roll out solutions at one site or across the entire organization with ease.
Artificial Intelligence is helping to optimize processes from pit to port and a cloud-based platform provides on-demand capacity to solve even the hardest problems
1. We no longer need to invest in massive compute farms that sit idle most of the time
2. We use what we need when we need it
Massive amounts of standardized data available to the platform can be used for explorative data analysis and training of models.
1. Models trained on larger sample sets provide better recommendations for small consumers
2. Example: a model to predict engine failure that is trained on 1000 trucks worth of data will make a better recommendation than a model trained on 10 trucks worth of data

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Mr. Robert Choquette