By golly doesn’t the technology industry love a prediction story at the end of the year? Didn’t Albert Einstein teach us something like time is just an abstract illusion of a distinction between the past, present and future? He also said that it was a “stubbornly persistent illusion”; so existential reasoning notwithstanding, we had better realize that now is a good time to look forward.
The tech community’s annually observed somewhat
self-indulgent penchant for predictions is often its own worst enemy.
Prophecies are all too often tied to vendors’ road maps and when they’re not,
they tell us what we already know. So you say 2016 will be hot for commercially
adopted open source, hybrid cloud models and mobile computing? No way? Big data
analytics, cognitive computing and quantum breakthroughs are around the corner?
You must be joking.
Let’s try and look for something fresh and at the same time
let’s try and dispel a few prophecies.
The truth is, getting big data working and bringing Internet
of Things intelligence into play quickly is a tough job. What the industry is
starting to tell us (some would use the word ‘admit’) is that it is neither
humanly or machine-ly plausible to interpret all of the data being thrown up by
the Internet of Things. Even with machine-learning systems, we can’t do it all.
What we also need realise is that we can’t just bolt on the
Internet of Things i.e. it’s not a plug-and-play technology. The amount of
‘total IT stack’ re-platforming and re-architecting needed for the IoT to
flourish is immense. This is our trend for 2016 i.e. the IoT takes a step back
and assesses the whole tech landscape before it throws another sensor at us.
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