Three Cyanide Spiders, Two Turtle Drones and a Robot in a Pear Tree? - Our 2016 Data & Tech Predictions


It’s been a very exciting and successful twelve months for us here at Consolidata and the other day we were discussing this whilst bouncing a few predictions around that we expect to see on the horizon. Then we thought why not just put our ideas out there for people to see what some of us think?

So without further ado please find some of our predictions around technology and data for 2016.

Mark Dodd:

‘2016 will see increasing investment in data analytics (broadly including big data / data science). Data will start to be seen as an asset in its own right and some companies will try to put a value on it due to its ability to decrease fraud / increase sales / margin. Data itself will begin to be traded on markets and categories and classifications of trading data will emerge.’

Gordon Meyer:

‘The first antibiotics made useless on big scale due to mutations, leading to the first GM bio engineered antibiotic.  Visual recognition and biometrics to go mainstream with widespread use of greatly enhanced CCTV and auto identification of people on a mass scale. Both by public and private companies. Cyanide Spiders.’

(Editors note: Since Gordon wrote his prediction this story has already broken – ‘Resistance to last-resort antibiotic has now spread across globe’ (New Scientist)  And if 2016 is the year for visual recognition then we might also be able to predict student fashion trends.

Dafydd Biffen:

‘Algorithmic-driven businesses and distributed algorithms.’

Ollie Frost:

‘Neuroscience and big data will start to join together in a big way. We will start to think about predicting human behaviour by joining numerous large data sets from meta analyses, and the paradigm of research will start to move away from testing a single hypothesis and start modelling complex systems of cognition.’

Roger Light:

‘Arrival of services that allow you to delegated payment authorisation to acquire the best on home delivered services, (power & utilities). Service providers also deploy AI to proactively defend market share, leading to entirely autonomous negotiations on both sides.

Consumers reject remotely controlled (from another location) homes but embrace autonomous and communicative systems within the home. In the next few years this morphs into an AI hub that takes care of all domestic systems, with a sophisticated digital identity and projected personal attitude in the role of loyal, responsible adult.  The frequency and scale of customer data theft increases, speeding up the push towards biological ID verification. Despite this, the public at large continue to display an unconcerned attitude towards information security. Lastly a popular but secretive on line identity turns out to be an AI, operated by one of the big technology companies.’

Dwain Goulbourne:

‘Cloud based computing again advances with everyone building massive data centres to provide Data lake type technologies for big data solutions (that no one really understands). A new data related buzz word or phrase will appear. Hybrid devices are the new laptop and the desktop gets shunned some more. 2.5d curved glass will be on every phone and 4k amoled devices become prevalent for no reason other than specifications. Fingerprint scanning spreads everywhere and contactless is still as slow as a snail. Octa-core is out and deca-core is in. Re-ignition of facial scanning biometrics.’

Michael Montgomery:

‘Further increase in wearable and connected technology. I think this and increased sensor data will increase interest in data science and especially predictive analysis. Predictive analytic will make technology better at self servicing. I think (hope) business intelligence and data analytics will be more more accessible to smaller companies with complexity and cost being lowered through more support services being available such as Azure and companies such as Consolidata.”

Chrissie Meyer-Groth:

‘Wishful thinking but I’d hope that in 2016 those that so far have made millions selling devices that create data and then offering devices/ services that collect data in order for it to be analysed under the motto of global economic growth, all this data floating about will start to be used to achieve something good for humanity like how to achieve sustainable global growth, protection of the environment on a global scale, a radical reduction of endangered species, elimination of child abuse, diseases, poverty, crime prevention / prosecution on a global level and more.

Dustbins to be analysed to check whether households recycle properly – if not they will be charged. More home chore automation.  And as a last wish, traffic light systems will be implemented on food packaging against the will of the food industry, showing how much fat, sugar, and other poison really is in them, red = high, green = low.’

(Editors note: Chrissy lives in Austria where packaging, recycling and food labeling is big news.)

Nick Smith:

‘Microchips in humans, using big data for constant health check-ups. Also and perhaps as usefully:  As part of increased global attention to climate change, the international role-out of solar roadways will begin to happen, and boost the interest and innovation in electric cars.’

Lachlan McLachlan:

‘The Oculus Rift will begin to change the gaming landscape, if not through quality then simply through novelty. Microsoft will continue development of their augmented reality HoloLens” Economists will continue climbing into bed with neuroscientists in an attempt to harness big data to feed economic models of consumer choice.’

Mariella Ricagni:

‘I agree on the massive increase of facial recognition, connected with the use of big data. I am not particularly happy about this though, personally because you can never know the use that will be made of this recognition. On the other hand I wish Google glasses with facial recognition embedded in them will soon be put into commerce: this would save me from several gaffes. simple smile ’

Tristan Palmer :

“2016 will be remembered for a huge increase in the use of biometrics including visual recognition, voice analysis, iris recognition will move out of high security and government into mass private sector use. This will create data use ethics and privacy issues. Even more cat pictures. Someone challenges the law to try and legally marry a robot and a robot runs away from home of it’s own volition. These two predictions might involve the same robot.  Cyanide Spiders as well as Turtle drones to be used by the military.”


What do you think 2016 might bring? We look forward to finding out next year.
Best wishes and seasons greetings!
Team Consolidata

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