WTF do IBM Power Systems and Strictly Ballroom have in common?

Well It’s video, video, video…

Those of you old enough to remember (and perhaps be inspired by) the movie and those of you young enough to have seen the musical may recall the character Doug Hastings (the old man of Scott Hastings) who was secretly rooting for Fran and his famous line…

“It’s hard to get the film these days... it's all video, video.” – Doug Hastings referring to the fact you could not get movie film anymore and that everything had moved to VHS.

What’s true today and foreshadowed in the movie, is that video is one of major workloads that you have to be planning for in a server infrastructure. The rise of Machine Learning and AI along with advances in processing algorithms and power mean that understanding video content and its context is now possible. With 60 seconds of video being the equivalent of 1.8 million words or 3,600 pages of web content, we are using video to learn and ingest information like never before. And it’s not just to watch Aussie classics like Strictly Ballroom, it’s to learn and understand all sorts of things to do with work. Sometimes seeing is understanding a problem. Being able see why a widget does fit - because of the clearance needs to get that widget into place - can be the difference between great customer experience or a poor one.

IBM Power and New Workloads

As we evolve our systems of record and systems of engagement into systems of intelligence – we need to be able to process video with intelligence using machine learning and AI – this means having the right workload architecture. As this recent Forbes article argues…

Many of the libraries are being developed specifically for emerging applications like image and video recognition. In using the ImageNet dataset, IBM claims that can train neural networks up to 4 times faster than a Xeon-based system. With Caffe, IBM was able to take the training of a neural network from hours down to minutes while making it easier for data scientists to use more intuitive tools rather than learning to code.

While you may think it is long-bow to draw between a classic Aussie movie and musical, and server workload considerations - I’m fascinated that the metaphor as well as the story – and what it has to teach us about making the best decision looking toward the future.

While you may think it is long-bow to draw between a classic Aussie movie and musical, and server workload considerations - I’m fascinated that the metaphor as well as the story – and what it has to teach us about making the best decision looking toward the future.

Your comments and thoughts would be appreciated below.

Likewise, I’m always up for a chat if you have any questions on how you can optimise your investment in SAP by reducing infrastructure costs or reach me via linkedin

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