Aggregated enterprise architecture wisdom
Suppose you build a house. When it’s finished it’s shiny, new, and clean. Then you live in it for decades. Stacks of old newspapers litter the floors. Sometimes a bunch of these get thrown out. You only do superficial cleaning, … Continue reading →
By The Open Group The Open Group, the vendor-neutral IT consortium, is hosting an event in London, April 25-28. Following on from the San Francisco event earlier this year, The Open Group London 2016 will focus on how Enterprise Architecture … Continue reading →
Day one of the GPU Technology Conference in San Jose and I’m still glowing from watching Steve Wozniak “travel to Mars” through NVIDIA’s photo real virtual reality. Or, holding my stomach as Jen Hsun Huang, CEO of NVIDIA took us soaring over Everest. Or cringing, as I watch the early attempts at a car teaching itself to drive and being reminded of how my 16 year old daughter is learning to drive (there were a few similarities…). Each emotion illustrates what everyone will experience shortly on NVIDIA’s next gen compute platform with announcement for AI, VR, self-driving, SDK and new deep learning appliance.
This is not your traditional or even big data analytic platform. It’s a complete overhaul of the computing architecture. It’s a complete rethink of data management. It will also change how you think about analytics.
Stepping back from what may seem like hype and examples steeped in robotics, VR and infrastructure, the truth is, the announcements today show that deep learning in action is at most a year away, and as soon as now. In addition, the innovation coming out of robotics, VR and infrastructure will allow introduction of new form factors and channels to engage with customers and shape our workforce. In the end, it is a data challenge for the very reason that for every channel we use and add, it always ends up being a data challenge.
The implications for how you manage data are radical. Here is what you need to think about:
Day one of the GPU Technology Conference in San Jose and I’m still glowing from watching Steve Wozniak “travel to Mars” through NVIDIA’s photo real virtual reality. Or, holding my stomach as Jen Hsun Huang, CEO of NVIDIA took us soaring over Everest. Or cringing, as I watch the early attempts at a car teaching itself to drive and being reminded of how my 16 year old daughter is learning to drive (there were a few similarities…). Each emotion illustrates what everyone will experience shortly on NVIDIA’s next gen compute platform with announcement for AI, VR, self-driving, SDK and new deep learning appliance.
This is not your traditional or even big data analytic platform. It’s a complete overhaul of the computing architecture. It’s a complete rethink of data management. It will also change how you think about analytics.
Stepping back from what may seem like hype and examples steeped in robotics, VR and infrastructure, the truth is, the announcements today show that deep learning in action is at most a year away, and as soon as now. In addition, the innovation coming out of robotics, VR and infrastructure will allow introduction of new form factors and channels to engage with customers and shape our workforce. In the end, it is a data challenge for the very reason that for every channel we use and add, it always ends up being a data challenge.
The implications for how you manage data are radical. Here is what you need to think about:
Notational – Symbolic Programming Introduced for Healthcare Analytics Quantum Mechanics Firepower for Healthcare Ecosystem Studies Interoperability Analytics Public Health and Patient Health Quantum Mechanics Driven A.I Experience Deep Machine Learning Descriptive and Inferential Statistics Definite and Probabilistic Reasoning and Cognitive… Continue Reading →
Bioingine.com; Platform for Healthcare Interoperability (large data sets) Analytics Deep Learning from Millions of EHR Records 1. Payer – Provider:- (Mostly Descriptive Statistics) Mostly answers “What” Healthcare Management Analysis (Systemic Efficiencies) Opportunities for cost reduction Chronic patient management Pathway analysis… Continue Reading →
Just a short mention today: R&A, Tetradian and Archi are proud to announce a new initiative: UltiMateCloud™, an initiative that takes Big Data and Cloud to its limit — and beyond. Have a look at the website.Filed under: Enterprise Architecture
What do architects do? And why? At this point we’d usually reach out for some apposite metaphor… And yes, by far the most common metaphor is ‘boxes and lines’, or ‘boxes and arrows’. If we take the most stereotyped, ‘boxy’ view…
One of the constant challenges for enterprise-architecture – probably all forms of architecture, in fact – is explaining the value of what we do. For example, like a good conference-organiser or event-host, often the better we do our work, the…
Right now there’s an interesting (to me, anyway!) discussion going on within the Enterprise Architecture Network community on LinkedIn, on the role of ethics in EA, and its relationship with EA as a profession. I’ve added a few quick comments…
Mar 21, 2016 Below is Screen Shots of the BioIngine – HDN Ingine; that creates a semantic lake and from which computes the probabilistic risk; as one of the use case. Bioingine.com; in its first attempt is implemented employing Wolfram… Continue Reading →
So often, it seems, I meet up with business execs for whom the only thing that matters is the money. In a big corporation, it’s often about the current quarter and the stock-price; in a smaller business, it’s often about…