Reflections On The Fourth Industrial Revolution

by Freya Scammells

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January '22 Edition

The Fourth Industrial Revolution is clearly upon us - a new era of innovation in technology - and we are excited to keep you updated with what's new! In this monthly feature we bring you up to date on the latest resources, news and insights in the AI community. Happy Reading!

Happy New Year from all at ReflectionX!
We hope you and your loved ones all had happy holidays and stayed safe.

With this New Year comes a new emphasis on The Fourth Industrial Revolution, for even more technology advancement to help us better adapt to our ever changing world.

According to a piece by David Cassel for, from the 17th of December, 52% of employers in tech said new positions were being added PLUS a ‘continuing high demand’ has been reported for those experienced in ‘cloud computing, AI/machine learning, and data analysis (as well as cybersecurity and data privacy).’

In 2022, we will need new innovations and revisions of old ones to increase our health and safety further and to also reduce our stress and increase our peace of mind!

And after our health and safety concerns, what could POSSIBLY be more important than reducing our stress?

Whether you are looking into more digestible coding solutions, a brief to the point Metaverse and Synthetic Data overview, RPA and AI, why AI matters...more than ever, AI-Cyber Security, the latest AI news stories and ALSO top influencers to follow just now…we have you covered!

So, let's get started!

To start the ball rolling for 2022, let us take a look at how this year could shape up for ‘The Fourth Industrial Revolution’!

The Next 12 Months

No-Code and Low-Code Technology

Requiring little or no coding expertise on the part of the user, Low-code and No-code technology is expected by many to gain a lot more popularity this year.

Many businesses and organisations will probably be able to reap the benefits from the very simple, straightforward ‘drag and drop’ approach offered. From business process automation tasks, to applications for mobile/web and back office work, low-code and no-code solutions can be implemented rapidly.

The key benefits to this technology include:

1. The user can create GUI’s using basic logic. Apps can be created extremely quickly when compared to traditional programming.

2. Costs may probably decrease due to further accessibility.

3. HR. departments could probably benefit heavily when deploying simple ‘self-service’ functions.

Research by Gartner states that ‘By 2025, 70% of new applications developed by organizations will use low-code or no-code technologies, up from less than 25% in 2020’.

Synthetic data and the formation of the Metaverse

Synthetic data is an exciting approach to machine learning that uses manufactured data sets for AI-model training. These data sets are also used to test models in maths, operational and productivity modelling.

The key benefits to this technology include:

1. The ability to not compromise sensitive data. Any sector that depends on privacy could probably heavily benefit in some form from the adoption of this technology.

2. The data synthesised can give the user/organisation a jumping off point in the creation of AI models that potentially result in incredible innovation.

3. Synthetic data can be used to mimic the distribution of groups across countries to counter biases. This will be especially useful in the formation of the ‘Metaverse’ where privacy factors will probably be key.

Again, according to Gartner, 60% of data sets ‘for the development of AI and analytics’, will be synthetically generated by 2024.

Applied AI

Applied AI is the idea of bringing Artificial Intelligence into our daily lives and out of the lab.

By focusing on the time and correct methodologies required to take this exciting technology from concept to real-world application, the value of AI to everyday people should probably increase substantially.

In the utilisation of questions such as ‘what time frame do people require from this?’, the gap between highfalutin technology and actual usage of it can be closed further.

Additionally we can pose questions of certain technologies in development, that may probably streamline them further and potentially eliminate bloat. They could be ‘what will this technology, itself, develop?’, or ‘if this technology offered more value to the public, businesses and industry, what would that look like?’.

Applied AI means getting to the heart of the matter. What are we seeing in our world, of value, from this industry?

Is AI benefiting the world around us? And If not, why not?

Companies such as Boston Dynamics, for example, have created various AI-optimised robotics that actually offer the public and industry something tangible.

Further, AI-driven Healthcare optimisation that results in less waiting times or AI-optimised Agricultural solutions that speed up and increase the quality of the food we consume, whilst embracing sustainability, represent Applied AI.

By aligning AI with what people are actually going to need and end up utilising and also using it to help climate change be better mitigated, the future of this exciting technology and more importantly our collective futures and that of our planet could probably be more assured.

As promised... let's also keep up to date with the very best AI innovations that are still getting attention in our industry...

Our Top 5 Groundbreaking AI Innovations STILL in the ascendancy!

1. AI Cybersecurity

As the sophistication of technology increases, sadly, so will the potential threat of online attacks to firms and individuals.

By spotting suspicious online activity, an AI could recognise fake transactions and other behaviours leading to potential attacks.

Better monitoring of incoming traffic to networks and detection software can be developed through machine learning to give increased protection, especially to highly vulnerable IOT devices.

With enhanced prediction, and ever increasing learning power, this technology could learn to predict potentials that we are as yet unaware of.

2. AI-Robotic process automation or AI-RPA

RPA stands for ‘Robotic Process Automation’.

This technology comprises software bots that complete simple tasks, such as ensuring specific information flows smoothly across an organisation with minimal hold-ups. RPA also allows operators to construct these bots and issue instructions to them easily.

Add AI to the equation, and you get ‘IA’ or Intelligent automation. These bots then have an increased ability to adapt through what is known as ‘process discovery’.

To quote a recent news piece in, by Ron Miller, ‘process discovery’ lets an organisation ‘map internal processes in an automated way, replacing high-priced consultants’.

3. Hybrid Workforce AI

According to Adriana Roche writing for recently, ‘This workforce evolution is coming much faster than most realize. IDC predicts that global spending on AI systems — covering a wide range of automation, cognitive AI and virtual agent solutions — could reach more than $77 billion by 2022, a threefold increase from 2018.’

With that in mind, Hybrid Workforce-AI is a factor that we will probably all have to embrace ultimately, in our day to day lives, as many organisations are reevaluating their office layouts throughout the pandemic and after.

What days we need to go into work and what work we can accomplish from our homes alone, will probably still be a constant sphere of debate in organisations, as we move through these still very uncertain times.

4. GitHub Copilot

Seen by many as a potentially groundbreaking leap forward comparative to that of GPT-3, GitHub Copilot was developed through a collaboration with Open-AI.

It is a ‘visual studio code extension’ that aids programmers with various abilities such as ‘auto-filling’ repetitive code, taking descriptive comments and creating original code, adapting to a developer’s style and also whole-function writing.

Whilst the technology sounds impressive, it probably still isn't quite there just yet, according to a study carried out ‘Three months after GitHub launched Copilotby academics through an affiliation with New York University's Tandon School of Engineering and referenced in an October 2021 article by Olimpiu Pop for, that I recommend. Quoting the study, Mr Pop highlights that ‘40% of the time, the code created is buggy and vulnerable’.

The tech, however, to quote the GitHub Copilot home page, is being designed ‘to get smarter at producing safe and effective code as developers use it.’

If you enjoy YouTube, like us, and especially tech innovations and reviews on YouTube, please check out the following awesome tech influencers prominent on the platform this month!

Our Top 5 YouTube Tech Influencers To Follow for January 2022

1. Unbox Therapy

Lewis is a very entertaining and informative YouTube tech reviewer from Canada with a lot to say and a laid back style.

2. Linus Tech Tips

Linus and colleagues take a fun, energetic look at the latest tech and also do lots of build tests and experiments.

3. Sarah Dietschy

Sara has an interest in the intersection between technology and creativity, highly recommended.

4. Austin Evans

Austin and co take a look at the latest tech on this fun, informative and entertaining channel.

5. iJustine

Justine, famous for her 300 page Iphone bill video, is a well established YouTuber focusing on the latest tech.

In need of support to transform your career in tech?

Reflection X's ML&DS Career Accelerator Programme can help you! Click the link below to find out more and check out the amazing feedback we received from helping people like you in tech!


4 Tech News Stories

1. Deloitte’s fourth Asia Pacific AI institute launched

According to a recent article from, on the 2nd, Deloitte launched their fourth AI institute in India.

“AI will be a part of everything we do as an organisation.” is the intention from the organisation, to quote the article. The company believes India is ‘one of the major developers of AI solutions across industries.’

Deloitte, according to the piece, understands that factors including agriculture, healthcare, transport and logistics can all be beneficiaries of the technology, as well as public administration and aiding policy-making.

2.  Kids drawings animated with AI

According to, now ‘Meta’, in an article from December 16th, drawings by children can now be animated by AI technology made by Meta themselves.

Described in the piece as a ‘first-of-its-kind method for using AI to automatically animate children’s hand-drawn figures of people and humanlike characters (i.e., a character with two arms, two legs, a head, etc.).’, the technology is intended to help AI generally understand the world better, from a human point of view.

The company hopes to release the data set and ‘more details’ on their research in 2022.

3. Governance for Artificial Intelligence

A fascinating piece, recently published in by writer Richard Johnstone takes a look back at 2021 and the role governance has to play in AI.

Highlighting how 'governments can get it right' regarding this technology, Mr Johnstone touches on the interest governments are recently taking. He references an exclusive article (to the by Harry Farmer from the Ada Lovelace Institute.

In the article, Mr Farmer suggests that “For countries and economic blocs still considering their regulatory responses to AI, the message of 2021 should be clear: the main questions of AI regulation are no longer ones of ‘if’, but ones of ‘how’.”

4. AI answers New Years resolutions queries

Steven Zeitchik, for the on the 31st of December writes that an AI is now able to give you New Year's resolutions….kinda

This weekend, the Smithsonian (at the Arts and Industries Building and online) put on an exhibition entitled ‘’Futures’’ that incorporated an AI by the name of the ‘’resolutions generator’’.

According to Mr Zeitchik, the tech has ideas on what ‘commitments’ we should embrace in 2022.

Get ready for whimsy.

One of the ideas returned by the GPT-3 AI was “Every time I hear bells for a month, I will paint a potato.” The emphasis, reports the piece and quoting the director of the Arts and Industries Building Rachel Goslins, was to have ‘a bit of real’ mixed with froth so the AI could ‘come up with the kind of interesting resolutions we’re not thinking of’.

But as always, with our exciting industry, it's a learning process leading to potentially useful innovation.

Watch this space!

About the Author

Freya supports the tech talent toolbox arm of Reflection X where she is coaching technologists to achieve their full potential. With over 10 years of experience within the Tech and AI recruitment space, she has been from working closely with thousands individuals and leaders during hiring processes while partnering with very early stage start-ups all the way to some of the top AI Labs in the world.

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