Solecular

Machine Learning at scale.

[Andy ThurAI @AndyThurai]

Holy shit! This is the cleverest sign I saw on this subject. Wow, what a way to put it. #RoeVWade via @JimmyKimmelLive #SCOTUS
@mthiele10 @efeatherston @joemckendrick

[Solecular @Solecular]

@mthiele10 @efeatherston @zehicle @rwang0 @ryancfay @digitalcloudgal @BillMew @derekcollison @cedricfwells Right, when possible, predictive edge planning over reactive can make the difference between becoming the dominant player in a region vs one of many players. :)

[Solecular @Solecular]

@mthiele10 @efeatherston @zehicle @rwang0 @ryancfay @digitalcloudgal @BillMew @derekcollison @cedricfwells One approach is to see it as a global pool of capacity from the cloud to the edge with tradeoffs on price, performance, and latency at each site. Coupled with remote administration, you'd need ML + automated actions, aka AI, to resource-manage at that scale.

[Solecular @Solecular]

@mthiele10 @efeatherston @zehicle @rwang0 @ryancfay @digitalcloudgal @BillMew @derekcollison @cedricfwells @mthiele10 Very much, plus our customers want to ensure sufficient IT for service delivery in the right geographies at the right times. Moreover, they need enough PoPs to make sure their edge apps are resilient to partial/full site outages.

[Solecular @Solecular]

It was a fun panel. Collaborative ML training between the core and edge was a fun problem to noodle on. :)

[Mark Thiele he/him @mthiele10]

#theedge2018 a panel on #AI & #ML with @zehicle of ⁦@rackngo⁩ & Sri Sukhi of @Solecular