Aggregated enterprise architecture wisdom
For a viable enterprise-architecture [EA], now and into the future, we need frameworks, methods and tools that can support the EA discipline’s needs. Yet there’s one element common to most of the current mainstream EA-frameworks and notations – such as…
This week’s episode of Tom Cagley’s Software Process and Measurement (SPaMCast) podcast, number 389, features Tom’s essay on Agile acceptance testing, Kim Pries talking about soft skills, and a Form Follows Function installment on sense-making and decision-making in the practice of software architecture. Tom and I discuss my post “OODA vs PDCA – What’s the […]
Kin Lane, the API Evangelist, had a really good post on maturing an API program, with the not-so-brief title of “I Have An API Deployed, And A Base Presence Established, What Can I Do To Help Me Get The Word Out?” You should definitely go read that because there’s some really good advice there. […]
As humans we usually like as little change as possible in our life (the only change we want is with others, e.g. in a TV drama). Additionally we are very risk adverse so we only really want proven options. This tendency increases with age is often called the conservative tendency. As our and almost all … Continue reading Productivity as the only driver on architecture →
All organisations, whether large all small, are influenced by both internal and external drivers. How the organisation responds to them can affect its overall success. The following only touches some of the generic drivers that an organisation is likely to … Continue reading →
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 →
There is a lot of power in Business Process Management (BPM) and process thinking. Our process flow diagrams describe ‘what is done’, and support us in designing, improving and controlling our processes. The results of processes should be of value to our customers. But how do our customers experience our processes?
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 →
On May 15th, my house will stop working. My landscape lighting will stop turning on and off, my security lights will stop reacting to motion, and my home made vacation burglar deterrent will stop working. This is a conscious intentional decision by Google/Nest. To be clear, they are not simply ceasing to support the product, […]
Innovation seems to be a buzzword from the end of the 20th century and early 21st century. The past decade innovation was not the only challenge faced by enterprises. In addition – across industries – several other developments have become important to – or at least seem to be so – such as digital transformation, big data, analytics and business intelligence.
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: