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# Operational Deep Learning, Data Delivery and Software Engineering | ||
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## Overview | ||
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The purpose of this runthrough is to describe the technical elements of the IceNet infrastructure, detailing: | ||
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* 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 | ||
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## Detail to go through | ||
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### The onion overview | ||
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### Model execution at the heart | ||
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### Workflow implementations | ||
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### Surrounding data with services | ||
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### Looking towards Digital Twins |
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# Using IceNet in the real world | ||
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## Overview | ||
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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: | ||
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* 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. | ||
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## Detail to go through | ||
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### The WWF technical developments | ||
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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.) | ||
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Follow up: go see Ellie on the conservation demonstrator at the IceNet stand! | ||
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### The SDA system integration | ||
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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. | ||
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Follow up: go see the SDA team on the Route Planning exhibition stand! | ||
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### Generalisable AI platforms | ||
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We highlight the generalised nature of the AI pipeline in use, as well as surrounding infrastructure, for doing research and prediction of other forms. | ||
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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! | ||
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### Information Management Frameworks | ||
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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. | ||
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Follow up: Talk to James about that project and visit the IMFe stand! |