John Cooksey talking Organiisational Excellence at our Nexttech Transformation Forum on 16 Feb 2021

John Cooksey talking Organisational Excellence at our Nexttech Transformation Forum

 

Unpacking The Think Tank with Rob Nankervis, Cassandra Parton, Craig Saphin, Hendrik Lourens 

Big data and the recruiting process

This article was inspired and sourced from an amazing article by Nicolas Babin . One of 200 thought leaders to follow in 2021. Here is the source https://www.linkedin.com/pulse/artificial-intelligence-recruitment-two-peas-pod-nicolas-babin

People are the most important part of your business and AI can ensure the right candidate is recruited for the right job. 

When recruiting how do you know that  your new employee will fit within your company culture, create value and stay for the long term?

Matching all your requirements (business and human) is key - and big data will play a big part in getting that information.

Velocity, value, volume, variety and varsity of data (the 5 Vs of Big Data) are key to the recruitment process . Once the data lake is organized you will be able to collect all data formats. From emails to photos, videos, text, numbers, maps, CRMs, real time information, social networks, NLP, facial recognition, AR, VR, MR… all data formats will be collected and analyzed.

Algorithms will be able to cross-refence all information on all platforms and in all formats.

1.       Sourcing information 

Much of the information will be found n social networks - where you will be able to automatically cross reference information from a CV that will be scanned and analyzed in order to ensure that it tells the truth about the candidate’s experience. 

An AI algorithm will be able to source and analyze hundreds of millions of profiles. This is obviously something a human would not be able to do. 

AI is about human augmented and here the mundane task to source and check is taken care of as well as the communication with candidates whilst the process is ongoing. This will ensure engagement from all.

2.      The screening process will improve. 

You will be able to  identify valuable candidates based on your criteria, Candidate ranking will be more efficient. Facial recognition will ensure that you are talking to the right candidate and false identity will then be a problem of the past.

3.      Candidate experience will be matched to your own needs. Finding someone with 5 to 10 years’ experience with strong skills, network and know-how will become an easy task because the variety and varsity of data will allow detailed and precise analysis and extract of data. 

For example - If you are looking for longer service you can exclude candidates who changes jobs every 3 years and you will be able to predict and offer something new before he/she reaches that critical timing.

4.      Checking references will be simpler. Your AI algorithm will use all types of data available. It will be able to cross reference people and build a network with starfish type of connections. You will then either contact their references, if possible, or check what has been written or said on social networks and make your own opinion.

5.      Once all these steps have been completed, the legal aspect will become automated. The legal team will have all data available automatically gathered during the recruitment process. Contracts will take into consideration all information discussed during the recruiting process and will be written with human input to ensure it matches all legal requirements.

AI will not replace but augment the process 

AI will not be used to replace human interaction but augment it, as in all recruiting process it is essential that empathy, values and human behaviors will be the differentiators. 

AI and recruiting – two peas in a pod for the benefit of companies and candidates. 

The Future of Work - lifelong learning and strong leadership is key

The future of work is really about the future of humankind — and its impact will be a game changer 

      

When machines become workers, what is the human role? 

The key word in the Nexttech revolution will be human augmentation. 

The way we work is being redefined

The future of work is more than technology: We are exploring how work is being re-invented, not just by technology, but also by demographic factors (e.g., millennial workers) , cultural drivers and distributed workforces, not having to be in same office or even in same country as your co-worker , 

The Life  Long Learner 

Learning and education: is a key part of the future of work -  front-loaded educational systems such as 3-5 year full time university degrees - will be a thing of the past - a relic. 

The future of work will be all about the lifelong learner -  where people will choose to work at a firm to gain a specific skill. Corporations will align to universities - so tenure in a job will earn a diploma or a degree. 

Leadership

Leaders in both the private and public sector need to plan and prepare for the future of work. 

Companies need to have a solid Human Resources policy and programme - incorporating  talent, employee motivation, recruiting, training and skills development. 

Governments need to explore safety net solution, such as a universal basic income or a permanent Jobkeeper programme .

So the question for you is 

Where to from here?

What do you need to do to be at the forefront and on the right side of the #nexttechRevolution. 

One thing I do know - is that to survive and thrive - everyone of us - in whatever role we play - will need to embrace change - and we all need to “learn how to learn”

Things to focus on to get ready for the Nexttech Revolution

2020 has been the Gateway to the  Nexttech Revolution - where  computing continues to climb the exponential curve at speeds that are leaving us breathless.. 

New technologies, AI, 5G , Robots and  people are converging to eliminate inefficiencies and frictions from markets. 

The physical world is being sensed, tagged and linked to the Internet with massive  amounts of new data being generated and stored as storage capacity in the cloud has become  virtually infinite. 

AI algorithms are analyzing that data. New market interfaces are arising. Blockchain technology shows promise to establish trust between market participants in a decentralized, encrypted and secure manner. 

The convergence  of real-time communications, blockchain and the IoT is creating  “stock exchanges” for all kinds of goods and services - not just commodities.

Manufacturing-as-a-Service (MaaS) platforms will enable you to get parts into production in less than five minutes.

Fast-tracking drug research and testing will  enable pharmaceutical manufacturers to save major cost (on average, in excess of $1 billion) and time (10-15 years) for new drug development.

Connectivity  will continue to become more ubiquitous - at the expense of privacy - zoom will be like the black and white tv - think  chips in brain - that will enable you to click between real and virtual - blink to see data about person you look at .

 AI will exceed human levels of intelligence - blurring of man and machine - including emotional intelligence on so many levels - there won’t be a job or profession that won’t be augmented and possibly replaced by AI. AI applications and adoption is projected to boost global GDP by between $13-15 trillion by 2030.

EAAS - everything as a service the sharing economy is making excess  or idle capacity  a thing of the past! 

• Uber is the world’s largest taxi company but owns no cars; giant retailer 
• Alibaba stocks no inventory, serving instead as broker between buyers and sellers; 
• Airbandb don’t own property 
• Instagram, doesn’t make or sell cameras.

This sharing economy model is spreading from cars and apartments to expensive but under-utilised capital equipment — from tractors to magnetic resonance imaging (MRI) machines), and from drones to manufacturing equipment.All are  available on an as-a- service basis.

The model will also extend to services industries, where individual skill capacities are currently  under-leveraged.... (this will proliferate the GIG  economy!) . 

Think Uber for training - where universities are a thing of the past - major disruption 

The increasing recognition of your personal data as a valuable asset will likely lead to new personal data exchanges, and the power will well and truly be transferred from the corporation and government to you! The collateral damage will be the loss of our privacy! 

The current critical skills shortage will worsen. Simultaneously, over a fifth of today’s workforce faces displacement by technology(800 million people) - will we need a universal basic income? 

Those at the forefront of this #nexttechrevolution will seize the largest shares of these gains.

So, what do you need to do to take advantage of this Nexttech Revolution?

Consider people first. 

Revamp your approach to human resources and talent, employee motivation, recruiting, training and skills development. 

Educate and reskill your people -prepare them for the future of work - enable your teams to use AI and tech!!

Emphasize skill over knowledge and lifelong learning over front-loaded educational systems.

Implement new technologies. Automation and AI, block-chain and big data: these elements of the #nexttechrevolution have the power to generate major competitive advantage. 

Here are some questions that a company entering the Nexttech Revolution need to think about 

• How will machines and humans partner to do what each of them does best? 
• What can business and governmental leaders do to enable this?
• How do we teach people to learn how to learn?
• Do your people have the skills they need to work alongside robots and algorithms? 
• What responsibility do businesses and governments have for preparing workers for the era of automation? 
• What is the future of retirement?
•  Is your  organization attuned for the new capabilities of smarter manufacturing?

Sources 

https://traccsolution.com/blog/megatrends-2030/

DOWNLOAD Recovery and resilience: Safeguarding and strengthening the supply chain to thrive through uncertainty for practical strategies to help you safeguard your supply chain and ensure resilience in times of disruption.

1‘The United Nations Department of Economic and Social Affairs, Population Division

2‘Global Trends 2030: Alternative Worlds,’ US National Intelligence Council, page iv

3‘Fourth Industrial Revolution: Beacons of Technology and Innovation in Manufacturing’, World Economic Forum, January 2019, figure 2, page 9

4‘https://xconomy.com/san-diego/2019/08/07/organovo-halts-liver-tissue-rd-plans-restructuring-to-cut-costs/

5‘What’s after what’s next? The upside of disruption’, EY, 2018, page 17

Sources

‘Nothing to fear from imminent Blade Runner world’, Business Day, 25 September 2019

‘What’s after what’s next? The upside of disruption’, EY, 2018

‘Manufacturing-As-A-Service Platforms: The New Efficiency Revolution’, Marco Annunziata, forbes.com, 13 May 2019

‘From the AI Frontier: Modeling the Impact of AI on the World Economy’, McKinsey Global Institute, September 2018

‘Navigating a World of Disruption’, McKinsey Global Institute, January 2019

‘The World in 2030: Nine Megatrends to Watch,’ Andrew S. Winston, MIT Sloan Management Review, 7 May 2019

‘Five Megatrends And Their Implications for Defense & Security’, PwC, November 2016

‘2018 Revision of the World Urbanization Prospects’, Population Division of the United Nations Department of Economic and Social Affairs (UN DESA), 2018

‘Global Trends 2030: Alternative Worlds’, US National Intelligence Council, December 2012

‘Fourth Industrial Revolution: Beacons of Technology and Innovation in Manufacturing’, World Economic Forum, January 2019

‘WTO lowers trade forecast as tensions unsettle global economy,’ World Trade Organisation Press Release, 1 October 2019

time.com

xconomy.com

Major Disruption to Education is about to happen

A great insight from EYs report on the future of work - written in 2018 - where they talk about the 5 Megatrends - they highlight the importance of Lifelong Learning 

“Learning: Education is a central pillar of social contracts. But, today’s educational systems are fundamentally misaligned withthe future of work. 

We, therefore, expect to see a long-overdue disruption of education. 

The social contracts of the future will have

a new approach to learning: one that is lifelong, technology-enabled and entered on developing skills instead of imparting knowledge.”

https://staging-area.info/EY/ey_report_v14_v04E_INTERACTIVE.pdf

Soft Skills and negotiation are key to your future of work

The World Economic Forum’s Future of Jobs Report 2020 points out that texhnology trends are going to severely effect the future of work, displacing over 85 million jobs in the next five years.

It is key for those that will need to work in the future - will need talent to be lifelong learners and effective negotiators - with skills such as persuasion, collaboration, negotiation, emotional intelligence and social influence being key skills needed by the lifelong learner in the lead up to 2025.

What is your business doing to upskill your team in these skills?

Would you be open to join us as our guest at our Nexttech transformation forum’s - where we will be discussing and socialising these key skill sets with global leaders.

If you are interested like or comment below and lets see how we can collaborate

#lifelonglearning NextTech Learning #bbg #bbgforum

The future has arrived - will Zoox disrupt Uber and Taxis?

Time for taxi drivers to #reskill and #relearn

Welcome to the #nexttechrevolution

The future has arrived !!

Interesting dynamics at play

Woking from home 

Employing from anywhere

The office is a relic

Taxi drivers and Uber  are like the horse and cart 

What are you going to #reskill or #relearn

Are you a #lifelonglearner