#1 – Robots will replace humans
Source โย Robot manufacturers and robotics professors looking for funding
Our Prediction –ย The entire human population will soon be living a luxurious life of leisure as-yet-unrevealed robots, wholly unlike the unconvincing wire-strewn devices we currently see, will so removeย anyย reason to get out of bed each day.
[easy-tweet tweet=”All humans will soon be living a luxurious life of leisure as robots do our jobs” user=”comparethecloud” hashtags=”IoT, robotics”]
Automotive manufacturers and others will indeed further automate existing uses for machines. The task of integrating the various layers of software required to perform even such basic tasks in a โsmart wayโ will be harder than ever. On the brightside, software development will also be taken over by robots and the promise of standardised, interoperable and compliance systems may have a chance after all.
#2 – Your parents discuss the โInternet of Everythingโ
Sourceย โ Telcos and Big Data vendors
Our Prediction –ย The irrational urge to connect every domestic and industrial appliance to the internet becomes unstoppable. More new uses will be found to link sensors, smartphones and corporate systems.
Integration of multiple devices and interfaces will cause more security holes because the app security industry hasnโt yet figured out that real security problems happen because of poor interfaces at the whole-system level
#3 โ Malware, Hack and Phishing will empty your bank accounts
Source โย IT Security Vendors
Our Predictionย โ The cyber security hype cycle will continue to churn as companies keep throwing money at cyber training, tools and consulting. Yet still after billions spent over the past 10 years, several name brands will experience significant breaches. Customers will be up in arms, experts will continue to be mystified and CEOs will head for the door.
Those who continue to ignore the underlying structural integrity of their software will once again make headlines.
#4 – Software will be measurable (as if..)
โIn God we trust, all others bring dataโ.
Source โย IT departments
Our Prediction –ย The dark art of code development will soon become, just a little, more like a science.ย Just as many other advances in technology the ability to improve quality will spur more innovation.
At this heavenly time of year, it is perhaps relevant to remember, the father of quality himself, W Edward Deming, once said โIn God we trust, all others bring dataโ. The combination of automated function points, a recognised set of global standards and tools to visualise progress on quality will finally provide some certainty to the effort and the costs in developing software, both in-house and by outsourcers.
#5 โ Big Data and analytics will be evenโฆBigger
Source โย Big Data vendors (again)
Our Prediction –ย Even cleverer insights are possible, yet arguably, not necessarily needed, thanks to super clever software that analyses every micro moment of every smartphone and web session. The data of the future will be so, er, Big.
As data pools increase the data hype will decrease. The vast amount of Big Data created will finally focus attention on real issues, like application health.
[easy-tweet tweet=”The data of the future will be so, er, Big” user=”comparethecloud” hashtags=”bigdata, analytics, data”]
#6 –ย DevOps becomes Dev-Oops
Source โย Storage and Data Management vendors
Our Prediction –ย DevOps, the bastard son of Developers and Operations, has become the โJack of All Tradesโ who is โMaster of Noneโ. The losers in this, the guys down in the basement, with the still-spinning disks, make a bid to reclaim their โrightful placeโ.
The de-skilling of IT operations and smaller teams, will produce worse code more quickly, which will result in IT systems which are fragile, not just agile.
#7 โ 3D Printers Print 3D Printers
Source โย 3D Printer manufacturers
“Hey Mom can you print me a new iPhone? This one is cracked.”
Our Prediction –ย Just like PCs, iPhones and microwaves, every household will soon have its very own 3D printer. Reliability, safety and standards will be overrun by convenience and speed as theย Hacker Manufacturerย cripples the consumer electrons sector, displacing millions jobs worldwide as Mom and Dad print whatever they need rather than buying it online. ย โHey Mom can you print me a new iPhone? This one is cracked.โ
#8 โ The Cloud Turns to Smog
Source โย Cloud-based enterprise software vendors
Our Prediction โย Now that the rush to the cloud is mainstream, clear choice to cloudify everything will get a bit murky as legacy apps and brittle architecture fail to hold up to the demands in the cloud. To solve cloud performance, reliability and stability issues, business will simply move apps back on premise.
[easy-tweet tweet=”Legacy apps and brittle architecture will fail to hold up to the demands in the #cloud in 2016″ user=”comparethecloud” usehashtags=”no”]
#9โ Outsourcing becomes Outcome-based at last
Source โย Systems integrators
Our Prediction โย Instead of just paying for bodies, clients will start to pay for outcomes, or at least paying by output for software-related work. As automated software measurement becomes a broader reality, application service providers will be able to meter their output and provide a meaningful invoice to clients.
#10 Tech predictions will cease to exist by 2018
Source –ย CAST
Our Prediction โย As the hype around vendorโs tech predictions gets a bit too cynical, the media will stop publishing these types of articles.
So what?
As has been proven time and again, in many cases, the effects of new innovations are overestimated in the short term and under-estimated in the long term. The common theme CAST sees in all of these predictions, one we thoroughly agree with is that the importance of software and so its quality, will be significantly greater in 2016.
As leading proponents of software quality, it is perhaps curious that software quality has not featured in our own list. CAST does have one prediction to make therefore. That ย IT costs will remain unpredictable, until the industry adopts the global Automated Function Point metric developed by the Consortium for IT Quality. CAST is pioneering its use with some of the world’s largest and most intensive users of IT. Until its adoption is standard practice, we can expect some very unpredictable IT results. Here’s to a productive 2016!
Dr Bill Curtis,ย Chief Scientist, CAST