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3,465,000,000 people
Estimated Global Work (force)
source: World Bank, 2018 data
source: Oxford University 2016 study
%
of current jobs
will vanish in
the next
25 years
people jobs.
?
What is Happening?
Division
of Labor
Human work hours Machines & algorithms work hours
71%
42%
NOW 2022
source: World Economic Forum, 2018 report
52%
2025
Who is likely to lose their Jobs?
credit officers? surgeons?A B
Status Quo
source: TED Talks, Andrew McAffee - Economist
Brace Yourselves!
%
of children now
entering primary
school will hold
jobs that currently
don’t exist
The Least
Safe Jobs
“Automation is blind
to the color
of your collar”
- Jerry Kaplan*
*from “Humans Need Not Apply”, 2014
The Least
Safe Jobs
99% 98% 97%
94% 89% 81%
Telemarketer Loan officer Cashier
Paralegal Taxi driver Fast food cook
source: “Future of Employment”, Oxford University, 2013
Risk (%) of losing job due to automation
The Safest
Jobs
source: “Future of Employment”, Oxford University, 2013
0.3% 0.35% 0.39%
0.42% 0.81% ?%
Occupational
therapist
Dietitian and
nutritionist
Clergy Who else?
Mental health
worker
Physician and
surgeon
Risk (%) of losing job due to automation
Who else?
Data Scientist? Postal Service Off.? Data Entry Off.?
Data Scientist
source: SAS
as a Job
Median Base Salary*
(56%)
Job Openings (YoY growth)
sources: for the U.S. / LinkedIn, Glassdoor, Techrepublic, 2019)
*gross annual pay
Industry with the brightest future?
Marketing Computer Science Legal
1,400,000job openings
400,000graduates
By 2020,
source: The Bureau of Labor and Statistics, data for the U.S.
?
Computer
Science
Do I need to be a Data Scientist
or in Computer Science?
Fortunately, NO!
How can you succeed?
It has something to do with data
An average person today, processes more data in a single day
than a person in the 16th century did in an entire lifetime!
source: The Human Face of Big Data.
Fun Facts about Data
The World’s data is
doubling every 2 years By 2020, >50 billion
smart connected devices
source: IDC Digital Universe Study, Forbes, CISCO, Digital Marketing Philippines
More than 90% of data in the world
today has been created in the last 3 years.
What makes you relevant?
Your
Specialisation
Data
Storytelling
Analytic Skills
What should an Accounting
graduate do?
Become an expert in analytics &
reporting
What should a Communication
graduate do?
Become a data journalist
What should a Finance
graduate do?
Become a financial
analytics wizard.
FinTech vs. Traditional Banking
$58billion
Global investment
in fintech
companies, S1 2018
sources: KPMG, Medium
FinTech Outlook
90%
Of smartphone users to
have made at least one
payment using their
device, by 2020
sources: LinkedIn, Global Change, Global Innovators
Where do we work?
4,800,000 people57,000,000 people
36% of work
(force)
15% of work
(force)
sources: ONS UK, World Economic Forum, Trading Economics, Index Mundi
23,400,000 people
34% of work
(force)
Where to start
freelancing?
Freelancing
Impact
$3 billion
paid transactions for work
on www.freelancer.com,
for the year 2017.
$1.4 trillion
Freelancers contribution
to the U.S. economy, for
the year 2017.
sources: UpWork, Freelancer.com, TopTal
Where will we work?
75% of millennials want to work remote.
43% of the U.S. workforce will consist of freelancers, by 2020.
>1 billion people will use AR/VR platforms
to access data/content, by 2021.
sources: Deloitte survey, Accenture report, IDC predictions, 2016-2018
Where do you want to work?
Remote at the OfficeA B
How to Prepare?
Which of these languages should you master to avoid being
left behind in the future of work?
Spanish RussianGerman Mandarin
Coding
Language
Where can You Learn to Code?
Master the Right Skills & Language (s)
Make a Difference
Machines Don’t Have Empathy
Critical Thinking is Crucial
Improve Your Virtual Collaboration Skills
Adaptability > Talent
Digital Literacy is Paramount
Boost Your Creative Intelligence Skills
Breaking the Status Quo
source: TEDx Talks, Volker Hirsch - Investor
Mandatory Self Skills
Data
Analytics
Business
Intelligence
Data
Visualization
Presentation
& Storytelling
Where can You Learn Data Analytics?
Technology is
shaping society
and its workers
Jobs disappear;
things are
happening fast
We can adapt by
acquiring the
right skills
How will you spend your days?
8 hours
@Work/School
8 hours
for rest
?
Use the remaining 8 hours for
your transformation, your self
development time
Thank you!

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The Future of Work - Presentation Deck

Editor's Notes

  1. Labor force comprises people ages 15 and older who supply labor for the production of goods and services during a specified period. It includes people who are currently employed and people who are unemployed but seeking work as well as first-time job-seekers. Not everyone who works is included, however. Unpaid workers, family workers, and students are often omitted, and some countries do not count members of the armed forces. Labor force size tends to vary during the year as seasonal workers enter and leave.
  2. According to Art Bilger, venture capitalist and board member at the business school, all the developed nations on earth will see job loss rates of up to 47%  within the next 25 years, according to a recent Oxford study. “No government is prepared,". These include blue and white collar jobs. So far, the loss has been restricted to the blue collar variety, particularly in manufacturing.
  3. Today, humans complete 71% of total work hours  across all industries covered in the WEF report. That means machines and algorithms already account for 29%. No single type of task is predominantly done by machines — yet. In the next few years, we'll see a stark shift in these ratios. In 2022, humans will account for only 58% of total task hours, meaning the machines' share will rise to 42%. By then, artificial intelligence (AI) and automation will have expanded beyond the simplistic tasks they take on today to more sophisticated ones requiring decision-making and reasoning. Responsibilities will vary, but they'll include duties in the realm of administrative, communicating, coordinating, managing, and advising — all tasks usually reserved for humans today.
  4. Their opinion.
  5. ~ 110 seconds video about how automation impacted different layers of society in the U.S.
  6. Collar meaning the type of work someone performs. Blue-collar = jobs in manufacturing & agriculture White-collar = jobs that revolve around documents
  7. Other safe jobs
  8. They’re part mathematician, part computer scientist and part trend-spotter. And, because they straddle both the business and IT worlds, they’re highly sought-after and well-paid. Who wouldn’t want to be one? They’re also a sign of the times. Data scientists weren’t on many radars a decade ago, but their sudden popularity reflects how businesses now think about big data. That unwieldy mass of unstructured information can no longer be ignored and forgotten. It’s a virtual gold mine that helps boost revenue – as long as there’s someone who digs in and unearths business insights that no one thought to look for before. Enter the data scientist
  9. Data scientists are the no. 1 most promising job in America for 2019, according to a Thursday report from LinkedIn. Data scientists have a median base salary of $130,000, and saw 56% more job openings this year than last, according to the report. There are now more than 4,000 data science job openings nationwide. The role jumped to no. 1 from no. 9 on last years’ list.  Median Base Salary: $130,000 Job Openings (YoY Growth): 4,000+ (56%) Career Advancement Score (out of 10): 9 Top Skills: Data Science, Data Mining, Data Analysis, Python, Machine Learning
  10. In terms of number of jobs
  11. The software industry talks a lot about the software skills gap and the need for more coders. That’s because it’s a real concern – the U.S. Bureau of Labor Statistics estimates there will 1.4 million open computing jobs by 2020, but only 400,000 computer science graduates with the skills to fill them. Industry and government should work together to encourage more people to consider jobs in software development, computer programming and cybersecurity. But the skills gap is much bigger than the Bureau’s 1.4 million estimate. They don’t just need computer science graduates to fill computing jobs; they need people with technical abilities to fill jobs in almost every industry.
  12. You may be wondering by now if the only successful jobs are either Data Scientist or something that has to do with Computer Science. You are in luck,
  13. Data is the answer
  14. How about that?
  15. Become and expert in analytics for business & reporting purposes. The Current Role of Analytics in Accounting. Budgeting, planning, data management, auditing—accountants are used to dealing with data. In fact, most professionals have already mastered two types of analytics: ... These data are used to generate reports (e.g. operations, finance, and sales).
  16. Become a data journalist focused on the production and distribution of information in the digital era. Data journalism is a journalism specialty reflecting the increased role that numericaldata is used in the production and distribution of information in the digital era. It reflects the increased interaction between content producers (journalist) and several other fields such as design, computer science and statistics.
  17. Financial analytics is a concept that provides different views on the business’ financial data. It helps give in-depth knowledge and take strategic actions against them to improve your business' overall performance
  18. Fintech (an abbreviation of financial technology) is an umbrella term for any kind of technological innovation used to support or provide financial services. It is creating many changes in the financial sector and giving rise to a range of new business models, applications, processes and products. All financial service providers are increasingly reliant on technology but fintech firms put technology-driven innovation at the very core of their business activities. They may be particularly active in areas such as new payment systems or automated investment advice. Digital disruption has been revolutionizing the banking industry, and increasingly shaking up corporate banks. According to Boston Consulting Group, over 80% of corporate bankers agree that digital will change the competitive landscape, customer expectations as well as the economics of the banking business. At the same time, digital disruption provides a breeding ground for blockchain and fintech startups to mushroom and gain market share in the already fierce banking sector. Just in the first half of 2018, fintech companies has already received a massive global investment of ~58 billion USD.  At the same time, incumbent corporate and investment banks are cutting jobs and turning to artificial intelligence and automation to streamline operations and reduce cost.
  19. Fintech (an abbreviation of financial technology) is an umbrella term for any kind of technological innovation used to support or provide financial services. It is creating many changes in the financial sector and giving rise to a range of new business models, applications, processes and products. All financial service providers are increasingly reliant on technology but fintech firms put technology-driven innovation at the very core of their business activities. They may be particularly active in areas such as new payment systems or automated investment advice. Digital disruption has been revolutionizing the banking industry, and increasingly shaking up corporate banks. According to Boston Consulting Group, over 80% of corporate bankers agree that digital will change the competitive landscape, customer expectations as well as the economics of the banking business. At the same time, digital disruption provides a breeding ground for blockchain and fintech startups to mushroom and gain market share in the already fierce banking sector. Just in the first half of 2018, fintech companies has already received a massive global investment of ~58 billion USD.  At the same time, incumbent corporate and investment banks are cutting jobs and turning to artificial intelligence and automation to streamline operations and reduce cost.
  20. Today, more than 57 million workers - about 36% of the US workforce - freelances. Based on current workforce growth rates found in Freelancing in America: 2017, the majority of the US workforce will freelance by 2027. The youngest workforce generation is leading the way, with almost half of millennials freelancing already. In the UK, self-employment has risen rapidly over the last two decades. The number of self-employed workers has increased from 3.3 million in 2001 to 4.8 million in 2017, according to the Office for National Statistics (ONS). Somebody could be classified as self-employed if they own a business, rather than working for an employer agree a fixed price for their work with their employer or client decide on their own schedule when work is available can work for more than one client provide the tools, equipment or materials that are needed to complete a job. Self-employment can take many forms - including entrepreneurs and freelancers, gig economy workers or contractors. This doesn't include zero-hours workers, who have the same employment rights as regular employees. Nigeria: The number of employed persons in Nigeria increased to 69.5 million in the third quarter of 2018 from 69.1 million in the second quarter of 2018. Employed Persons in Nigeria averaged 68.9 million from 2014 until 2018, reaching an all time high of 70.6 million in the first quarter of 2017 and a record low of 66.9 million in the fourth quarter of 2014. The percentage of people self employed as percentage of total employment is ~34%, for the year 2017 (indexmundi)
  21. In terms of number of jobs
  22. In terms of number of jobs
  23. Skills & Talents for a successful career in the future. Knowing what to learn Doing things proactively, making a difference Emotional Intelligence Evaluation & analysis that lead to an opinion/decision Virtual Collaboration – a must for any freelance Adaptation is more important than Talent Knowing your way around software, technologies, IT&C equipment is mandatory Creativity is something unique to humans
  24. What humans have that machines cannot grasp. How humans can make a difference.
  25. This is your time, your time to transform your life, your self development time, your world changing time. Don’t waste it on television or video games. Use it to build these skills I have talked about, use it to become that Master of your profession. A Master that has infused Data in all; exactly the professional skills you need in the future of work, a future you will create.