diff --git a/notes/operational_icenet.md b/notes/operational_icenet.md new file mode 100644 index 0000000..bb802a1 --- /dev/null +++ b/notes/operational_icenet.md @@ -0,0 +1,26 @@ +# Operational Deep Learning, Data Delivery and Software Engineering + +## Overview + +The purpose of this runthrough is to describe the technical elements of the IceNet infrastructure, detailing: + +* How the technical structure of IceNet provides products and services +* How we deploy IceNet's model and delivery infrastructure +* How end users can leverage these resources +* What the big picture looks like now and into the future + +## Detail to go through + +### The onion overview + + +### Model execution at the heart + + +### Workflow implementations + + +### Surrounding data with services + + +### Looking towards Digital Twins \ No newline at end of file diff --git a/notes/real_world_integrations.md b/notes/real_world_integrations.md new file mode 100644 index 0000000..d9538c1 --- /dev/null +++ b/notes/real_world_integrations.md @@ -0,0 +1,36 @@ +# Using IceNet in the real world + +## Overview + +The purpose of this runthrough is to elaborate on how the technical implementation gives rise to a variety of end user use-cases in the real world: + +* How derived products and services facilitate conservation efforts. +* How direct integration with data products facilitate external system development. +* How the establishment of a novel infrastructure facilitates development of standard and generalisable AI platforms. +* How considering all of these elements helps us to work towards development of information management frameworks. + +## Detail to go through + +### The WWF technical developments + +Then points to the value add use case demonstrated by Ellie: this is a run through of how the infrastructure itself assists that use case (alerting, forecasting, analysis tools.) + +Follow up: go see Ellie on the conservation demonstrator at the IceNet stand! + +### The SDA system integration + +We highlight the use of IceNet data product within the SDA route planner platform from a technical standpoint, demonstrating the internal Digital Twins being built within BAS. + +Follow up: go see the SDA team on the Route Planning exhibition stand! + +### Generalisable AI platforms + +We highlight the generalised nature of the AI pipeline in use, as well as surrounding infrastructure, for doing research and prediction of other forms. + +Follow up: go see Tom and Ryan on the ML research and validation stand, or talk to James or Scott Hosking further about how BAS and Turing are looking to capitalise on this! + +### Information Management Frameworks + +We highlight the use of IceNet as a challenge use case in the NERC IMFe project, focusing on environmental Digital Twins. IceNet presents an opportunity to apply the conceptual IMFe to an extant infrastructure. + +Follow up: Talk to James about that project and visit the IMFe stand! \ No newline at end of file