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Wondering what the most in demand tech jobs will be for 2018?

I did, so decided to research the market by speaking to some of my tech connections, who have their finger on the pulse, and subsequently comparing my findings to various trusted online sources ,offering insights on this topic too and whilst the results naturally did vary depending on geographical locations and industry, 3 tech jobs particularly caught my attention, as the ones continuously mentioned in the Top 10.

These are my findings:

  1. Data Scientists – Big Data, machine learning, predictive analytics, deep learning and AI are all hot skills. Companies will be heavily investing in these fields and “true” Data Scientists are hard to come by. This is what George Roumeliotis, Head of Data Science at Intuit in Silicon Valley, looks for when recruiting new Data Scientists, which I find extremely useful; “Roumeliotis was clear with us that he doesn’t hire on the basis of statistical or analytical capabilities. He begins his search for data scientists by asking candidates if they can develop prototypes in a mainstream programming language such as Java. Roumeliotis seeks both a skill set—a solid foundation in math, statistics, probability, and computer science—and certain habits of mind. He wants people with a feel for business issues and empathy for customers. Then, he says, he builds on all that with on-the- job training and an occasional course in a particular technology.”
  2. DevOps Engineers – It’s all about being in the Cloud nowadays and if you can master Virtualization skills in Amazon AWS and Microsoft Hyper-V and private cloud hosting skills using VMware, mixed with some lethal cyber security skills you will be floating towards the stars.
  3. Mobile Developers – A growing number of the world population are switching from using their laptops, to mobile phones for their daily tasks, making Mobile App developers in higher demand than ever. However to stand out from the crowd these days, you will need to master some serious User Experience and User Interface design skills, on top of all the major programming languages. The future is equally looking bright for all the AI Engineers, Software Developers, Solutions Architects (especially Blockchain!), UX’ers and Digital Designers, Product Managers and CTO’s out there.

Top tip for Tech Leaders:

Having a proven track record in managing AI, Data Science and AR Development teams, will put you ahead of the game, as it is a fairly understaffed market at the moment. So if you have the experience, but haven’t updated your online profile to show this, you may well be missing out on some excellent opportunities.

Feel free to reach out if you are curious about exploring new adventures…

candidates, future, jobs

I recently spoke about the ‘Jobs of the Future’ at Tawdheef, my advice was to stay open and be adaptable to change. Following the discussion, I wanted to share my perspective on the subject of jobs in the future. My advice to everyone who is worried about their livelihoods is don’t panic.

There are several reasons that I consider the hype about automation impact on job loss to be overblown. The first is statistical – By 2030 the working age population, across the world, will decrease leaving a meaningful skills gap on the supply side. At the same time, as GDP grows, the demand for labour will continue to increase. So we are expecting to see a decrease in the labour force and an increase in demand for people. This is in-line with the World Economic Forum’s latest comments which suggest that there will be a skills shortage.

The second reason I tell people not to panic is history. We have been in similar situations to this before. In the 1960s NASA was using humans who were good at mathematics to manually compute complex equations. They didn’t use machines or tools like we do today. When computers were introduced these skilled people didn’t become obsolete, they re-skilled. Setting a mission like going to the moon not only sets the overall challenge but many other things are invented along the way. The Apollo mission was about putting a man on the moon but along the way, there were some valuable technological discoveries, including:

  • NASA’s digital imaging technology has been used for MRIs, Radiography, CAT scan, Microscopy medicine
  • Renewable energy has been created. Absorbing light when it strikes the surface and transferring it to a semiconductor – i.e. Solar Panels
  • Kidney Dialysis Machine
  • Moonboot helped revolutionize athletic footwear by inventing shock absorption
  • Fireman suits (made from a fabric which didn’t burn)
  • Cool suits
  • First retractable stadium roof made from spacesuit fabric
  • Automatic pool purifier
  • Burglar alarm
  • Programmable pacemaker
  • Cordless inventions like the drill
  • Liquid methane for automotive vehicles
  • Heart monitor

I think it’s important to remember, life is not about the destination, it’s about the journey. Most people overestimate what they can do in a year and underestimate what they can do in 5 years.

I get excited by the new opportunities presenting themselves for people to re-skill or up-skill themselves. Blockchain technology is creating new opportunities for those brave enough to take them. AI is both creating new roles, automating functions which are repetitive and add little value to businesses. Fintech is changing the way we bank.

Just as coal miners in the 1980s couldn’t conceive of renewable sources of energy like solar or wind providing us with sustainable energy, we are all coming to terms with the changes that effect every industry in the world.



4th industrial revolution, future, technology

We are standing on a precipice. 

We should not be surprised by the rate at which we are being engulfed by the 4th industrial revolution. Since the internet, adoption of new technology has progressed at an ever increasing pace. It took the telephone 75 year to reach 50 million users, the radio 38 years, the internet 4 years and angry birds 35…days. 

But with such accelerated adoption is technology outpacing human ability to process and adapt? There should be no doubt that this fast paced innovation has left legislators and law makers behind, that we are only now engaging in a public conversation regarding the dangerous of autonomous weapons (despite it being raised by leaders in AI in the late 80s) is an example of our human tendency to believe that the impending changes are not our challenges to face. This attitude is no longer appropriate and applies to more than just law makers.

The ubiquity of technology in our day to day lives means that we are all touched by this paradigm shifts. Recruitment is no exception.

The explosion in artificial intelligence, it’s ability to identify patterns, behaviors and trends is unparalleled by human beings. But one thing that AI is not, is unbiased. 

There are various new technologies in the recruitment space which aim to leverage machine learning, behavioral analysis and AI. Our hands on experience using IBMs Watson computer to analyze interview behavior leads us to believe that while there are obvious advantages to AI in recruitment (an ability to use interview behavior to estimate a candidate’s propensity to join/stay to a degree of confidence etc), the recruitment sector could be overcome by increased bias in the work place. This opinion is based on the fundamentals of AI. A set of training data is required by an AI in order for it to learn. The machine learning process is critical to ensuring the output is effective. If the historical data demonstrates a preference, the machine will give candidates with those traits priority.

With the rise of 3D printing, an increase in robots in the workplace, the automation of repetitive tasks and the increase in autonomous vehicles the blue color economy is under threat. This threat could manifest as a large increase in unemployment. At the same time we are experiencing another change encouraged by the 4th industrialrevolution, the freelance economy. In the US alone it is estimated that the free lance industry accounts for 34% of the national workforce and contributes $715 Bn per annum. 

This change in employment norms will impact the financial sector, the health category, the insurance markets and of course the hiring process.

With this in mind, it should be considered that a hiring strategy which affords too much value to the information produced by AI may lead to unforeseen consequences if not used in conjunction with human skills which cannot be emulated by a machine. The hiring of FTEs may no longer be necessary in all capacities allowing employers to reduce their headcount and talent will become more expensive as it competes with itself in a free, auction based, market.