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.
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 byGartnerstates 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 toGartner, 60% of data sets ‘for the development of AI and analytics’, will be synthetically generated by 2024.
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 intechcrunch.com, 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 forforbes.comrecently, ‘This workforce evolution is coming much faster than most realize.IDCpredicts 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 withOpen-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.
1. Deloitte’s fourth Asia Pacific AI institute launched
According to a recent article fromconsultancy.in, 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 tofb.com, 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.
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’.”
This weekend, the Smithsonian (at the Arts and Industries Building andonline) 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.
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.