SlideShare una empresa de Scribd logo
1 de 54
Descargar para leer sin conexión
Monday 12th June – 8am to 10am
London Tech Week 2017
Audience poll
Copyright © ASI All rights reserved
AI and the
future
workforce
3
@ASIDataScience
Copyright © ASI 2017 All rights reserved
Charlotte Werger
charlotte@asidatascience.com
June 12th 2017
• Now: Training at ASI
• Before: Quant hedge fund
manager
• Econometrics, Machine Learning
• Data science in Finance
Charlotte Werger,
PhD
4Copyright © ASI All rights reserved
ASI specialises in
applying Artificial
Intelligence to solve
business problems.
5
Artificial Intelligence (AI) is the
science of making computers do
things that require intelligence
when done by humans.
-- Alan Turing
Machine Learning = algorithms
learning from experience.
Big data = marketing buzzword
Copyright © ASI All rights reserved
Will a robot take my job?
9
“45% of the activities
individuals are paid to
perform can be automated
with currently available
technologies."
“About 35% of current jobs in the
UK are at high risk of
computerisation over the following
20 years.”
“A study in France showed
that in 2011 the internet had
created more jobs than it had
destroyed "
Copyright © ASI All rights reserved
We don’t know what the future will look like
10
Copyright © ASI All rights reserved 11
Lessons from history
Lesson 1: Job tasks and skills will change
Copyright © ASI All rights reserved 12
Lessons from history
Change of skills
Change of tasks
Copyright © ASI All rights reserved
Lessons from history
13
Lesson 2: Job
types will change
Copyright © ASI All rights reserved
Lessons from history
14
Copyright © ASI All rights reserved
Lessons from history
15
Lesson 3: Change happens at a rapid pace and
there will be winners and losers
Copyright © ASI All rights reserved 16
Copyright © ASI All rights reserved
Winners and losers
17
Both companies and people will be either winners
or losers in the AI revolution
The difference between the two comes down to skills
and mindset
Your job in HR is to make sure that the people that
are employed by you, and the company that you
work for are on the winning side.
Copyright © ASI All rights reserved
Winners and losers: People
18
Who is at risk of “being
automated”?
What can you do to prevent
becoming irrelevant?
Become the “automator”, not
the automated
Copyright © ASI All rights reserved 19
• Average age of workers in the UK is 39: roughly 30 more years till pension
• Lifelong learning
• ASI: Large amount of workers are in "data analytics" jobs
• Can easily be up-skilled to implementing data science
Winners and losers: People
Copyright © ASI All rights reserved 20
1946: "Television won't be able to hold on to any market it captures after the
first six months. People will soon get tired of staring at a plywood box every
night." — Darryl Zanuck, 20th Century Fox.
Winners and losers: Companies
Copyright © ASI All rights reserved 21
1946: "Television won't be able to hold on to any market it captures after the
first six months. People will soon get tired of staring at a plywood box every
night." — Darryl Zanuck, 20th Century Fox.
2005: "There's just not that many videos I want to watch." — Steve Chen,
CTO and co-founder of YouTube expressing concerns about his company’s
long term viability.
Winners and losers: Companies
Copyright © ASI All rights reserved 22
1946: "Television won't be able to hold on to any market it captures after the
first six months. People will soon get tired of staring at a plywood box every
night." — Darryl Zanuck, 20th Century Fox.
2005: "There's just not that many videos I want to watch." — Steve Chen,
CTO and co-founder of YouTube expressing concerns about his company’s
long term viability.
2007: “There’s no chance that the iPhone is going to get any significant market
share.” — Steve Ballmer, Microsoft CEO.
Winners and losers: Companies
Copyright © ASI All rights reserved 23
Winners and losers: Companies
Copyright © ASI All rights reserved 24
Winners and losers: Companies
Copyright © ASI All rights reserved 25
Winners and losers: Companies
Copyright © ASI All rights reserved 26
Case Study - predictive staffing
PROFILE
• Large airline operates in more than 30
countries.
• Employs over 3,000 pilots and 10,000
cabin crew.
• Last year they flew over 80 million
passengers.
Copyright © ASI All rights reserved 27
Case Study - predictive staffing
SITUATION
• Predict daily staff contingency required
to cover routine disruption.
• Ensure the planes can fly, with the
minimum of standby crew
• Improve on fixed estimates across the
year for different airports.
Copyright © ASI All rights reserved 28
ACTION
• We identified the significant factors that
drive standby demand
• We worked with their analytics team
and HR, using their staffing data to
build a machine learning model
• Created tool for staff schedulers so
they could make more accurate
estimates for each airport, and each
day
Case Study - predictive staffing
Copyright © ASI All rights reserved 29
IMPACT
• dynamic model reduced standby
staffing levels from 21% to 14%.
• saving of more than £10 million pounds
each year.
Case Study - predictive staffing
Copyright © ASI All rights reserved
AI and realised impact in 2017 - 50 McKinsey cases
30
Industry Cost savings (%) Revenue upside (%)
Metals 8-15% 6-15%
Telecom 15-30% 2-5%
Banking 10-15% 3-5%
Retail 10-20% 3-5%
Source:McKinsey & Company
Copyright © ASI All rights reserved
Winners and losers: Executives decide
31
Copyright © ASI All rights reserved 32Copyright © ASI 2017 All rights reserved
@ASIDataScience
Charlotte Werger
charlotte@asidatascience.com
Don't hesitate to get in touch!
Audience poll
London Tech Week 2017
Dr Tim Sparkes CPsychol AFBPsS
Talent Solutions Director, Hudson
We are right now in the
final stages of [evolution].
Biology and technology
will begin to merge in
order to create higher
forms of life and
intelligence.
Ray Kurzweil, Director of
Engineering, Google
Alphabet could have
perfectly good intentions
but still produce something
evil by accident
Elon Musk, SpaceX, Tesla, OpenAI,
Neuralink
With artificial intelligence we are summoning the
demon…humanity’s biggest existential threat
Elon Musk, SpaceX, Tesla, OpenAI, Neuralink
These new technologies may threaten the very
fabric of society, and ultimately our humanness
Gerd Leonhard, CEO TheFuturesAgency
Development of full artificial
intelligence could spell the
end of the human race
 Stephen Hawking
I think human extinction will
probably occur, and technology
will likely play a part in this.
Shane Legg, Deep Mind
The changing work environment
Employee skill-sets that were
an asset to organisations a
decade ago are now a minimum
requirement to carry out roles
effectively.
The Digiskills Report, ADBL, 2016”
“
Growing
complexity
Generational
Shift
Millennial
Mindset
Technology
Proliferation
Talent-on-
Demand
Economy
Selection
Methods
Public Talent
Profile
(whether you
know it not)
The changing work environment
The ability of an organisation to renew itself, adapt, change quickly, and
succeed in a rapidly changing, ambiguous, turbulentenvironment.
Aaron de Smet, Senior Partner, McKinsey & Company ”
“
35%
79%
2012 2015
Companies with a
shortage of critical skills
Hiring successmanagement:
Aberdeen group 2015
Mismatch: skills
vs job criteria
87%
Computer
Weekly,2016
67%
Org agility
is business
critical
Agile HR:
Mindsetnot
Methodology,
Orion 2016
43%
Companies that
do not have a
way to upskill
The Digiskills
Report,
ADBL, 2016
94%Agility &
collaboration
critical to
success
Deloitte 2017
The changing work environment
A
B
C D E
Shared
values/culture
Transparent
goals
Feedback
The changing work environment
McKinsey Quarterly July 2016
The evolution of humans
Selfish
desire to
get ahead
Prosocial
desire to
get along
Self-
Awareness
Curiosity Entrepreneur
ship
Creativity
Opportunism
Proactivity
Vision
The New World of Talent Identification
Andre Lavoie,
Aberdeen
Essentials
The New World of Talent Identification
Networks &
Observations
Biodata,
Supervisory
Rating
Typicaltalent
identification
360 feedback
IQ tests &
SJTs
Interviews
Self Report
The New World of Talent Identification
Interviews
applymagicsauce.com
MichalKosinski
Web
scraping
A New Talent
Identification
Ecosystem
Predictive
analytics
Gamification
Digital
interviews
Crowdsourced
Peer ratings
Big Data
Accuracy?
Relevance?
New talent signals or
just new methods?
Theory and cause?
Artificial Intelligence and Talent Management
Because we can’t predict the future,
companies that need to innovate often have
only a partial idea of who they need to hire
and what those people need to do.
Prof Vaughn Tan
”
“
Learning Management Systems?
Performance Management?
Coaching?
Onboarding?
Social purpose and meaning?
Abraham Maslow, A Theory of
Human Motivation 1943
Culture as environment
Glassdoor Summit Sept 2016:
Frequency of Google Searches on workplace culture since 2008
2016
‘Best-in-Class’
Performing Companies vs others
24%100%36%
More satisfied
with new hires
2x +
Define success
of top
performance
97%
More likely to
have
consistent
criteria
More likely to
provide cultural
fit insight
100%
More likely
to have
‘performance
exceeders’
24%
96% of employers would choose someone with the right
mindset over the right skillset (Reed & Stoltz, 2012)
In a world of rapid
disruption and change,
having a core set of
competencies is an
outmoded principle of
business.
Mark Parker, CEO, Nike
When we recruit, we focus
on what can’t be taught.
Natural attributes such as
openness and willingness
to collaborate are
essential; other skills can
be embedded over time
Nathan McDonald,
Co-Founder at We Are Social
Mindset and Engagement
Purpose really comes down to mindset…a culture that taps into your people’s sense
of aspiration... empowering everyone …not just to do better, but to be better.
Mark Weinberger, Global Chairman & CEO, EY
”“
Purpose is playing a
central role in engaging
staff in their work and
acting as a focal point for
rewarding effort that has
an impact beyond
numbers or productivity
Purpose in Practice, Claremont
Communications 2016
Affiliation
Achievement
Meaning
Enthusiasm for
development
Effort
Attention
Dealing with setbacks
Interpersonal
interactions
Employee
Engagement
Employee
Mindset
The Potential role of Mindsetsin UnleashingEmployeeEngagement.
Keating, LA & Heslin, PA, Human Resource Management Review 25(4), 2015
Mindset and Engagement
Insight into preferred ways
(and non-preferred ways) of working
within the business context
Higher reliability and validity than
most tools on the market
Translated into more than 20
languages
Identifies false results
Measuring preferred work environments
Motivator: part of engagement and
retention; some motivation profiles
are more suitable for certain roles
Internal and external factors that
stimulate interest and curiosity, and
commitment to ongoing effort in
attaining goals…because it’s
rewarding.
‘Demotivators’ drain
The information that needs to be
processed
The tasks that need to be
accomplished
How the person is managed
Interaction with others
Personal needs
Challenge
Mindset
The appealof deriving
originalinsights from
analysing complex
business challenges.
Change
Mindset
The preferencefor
variety and new
ways of doing
things.
Leading
Mindset
An approach of
persuasionand
encouragementrather
than direction and
authority.
Solutions
Mindset
Enjoying
developing
creativesolutions
to overcome
barriers to drive
results.
Collaborative
Mindset
Valuing and working
with others and with a
co-operative team
spirit.
Selection
Development
Team formation
Organisational
mapping
Engagement Commitment
Effectiveness Adaptability
PULSE MINDSET™
Visit: PulseMindset.digital
Since humans are programming
the code for AI, this…means we
have to codify our own values.
John Havens, Heartifical Intelligence
”
“
Machines have…been very bad at
the kind of thinking needed to
anticipate human behaviour.
Max Galka, University of Pennsylvania
”
“ What we concluded is that what AI
is definitely doing is not eliminating
jobs, it is eliminating tasks of jobs,
and creating new jobs, and the
new jobs that are being created
are more human jobs.
Josh Bersin, Principal & Founder,
Bersin by Deloitte
”
“
uk.hudson.com/latest-thinking/new-world-of-work
Download our Executive Briefing
#NewWorldOfWork
Audience question
Dr Tim Sparkes CPsychol AFBPsS
Talent Solutions Director, Hudson
tim.sparkes@hudson.com
@Hudson_UK_rec
uk.hudson.com
Thank you!

Más contenido relacionado

La actualidad más candente

Becoming an exponential organization in an Age of Disruption
Becoming an exponential organization in an Age of DisruptionBecoming an exponential organization in an Age of Disruption
Becoming an exponential organization in an Age of DisruptionRob van Alphen
 
Exponential Technologies and Exponential Organizations Mix
Exponential Technologies and Exponential Organizations MixExponential Technologies and Exponential Organizations Mix
Exponential Technologies and Exponential Organizations MixTeodor V Panayotov
 
What's the Future?
What's the Future?What's the Future?
What's the Future?Tim O'Reilly
 
Now, Robot: Artificial Intelligence in 2017
Now, Robot: Artificial Intelligence in 2017Now, Robot: Artificial Intelligence in 2017
Now, Robot: Artificial Intelligence in 2017Moshe Vardi
 
Von Silicon Valley lernen (oder nicht)
Von Silicon Valley lernen (oder nicht)Von Silicon Valley lernen (oder nicht)
Von Silicon Valley lernen (oder nicht)Tim Leberecht
 
Exponential organizations Teodor Panayotov 10.11.14
Exponential organizations Teodor Panayotov 10.11.14Exponential organizations Teodor Panayotov 10.11.14
Exponential organizations Teodor Panayotov 10.11.14Teodor V Panayotov
 
Clubs Queensland - Keynote - 15 september 2015 - Craig Rispin Business Futuri...
Clubs Queensland - Keynote - 15 september 2015 - Craig Rispin Business Futuri...Clubs Queensland - Keynote - 15 september 2015 - Craig Rispin Business Futuri...
Clubs Queensland - Keynote - 15 september 2015 - Craig Rispin Business Futuri...Craig Rispin
 
The Second Machine Age
The Second Machine AgeThe Second Machine Age
The Second Machine AgeCY N
 
The Second Machine Age
The Second Machine AgeThe Second Machine Age
The Second Machine AgePaul Herring
 
What's Wrong with the Silicon Valley Growth Model (Extended UCL Lecture)
What's Wrong with the Silicon Valley Growth Model (Extended UCL Lecture)What's Wrong with the Silicon Valley Growth Model (Extended UCL Lecture)
What's Wrong with the Silicon Valley Growth Model (Extended UCL Lecture)Tim O'Reilly
 
Future of ai 20190507 v7
Future of ai 20190507 v7Future of ai 20190507 v7
Future of ai 20190507 v7ISSIP
 
Milano short 20190530 v2
Milano short 20190530 v2Milano short 20190530 v2
Milano short 20190530 v2ISSIP
 
Innovation and the Future
Innovation and the FutureInnovation and the Future
Innovation and the FutureTim O'Reilly
 
Dscoop Craig Rispin Keynote October 23, 2014
Dscoop Craig Rispin Keynote October 23, 2014Dscoop Craig Rispin Keynote October 23, 2014
Dscoop Craig Rispin Keynote October 23, 2014Craig Rispin
 
Why Visionary CEOs Never Have Visionary Successors
Why Visionary CEOs Never Have Visionary SuccessorsWhy Visionary CEOs Never Have Visionary Successors
Why Visionary CEOs Never Have Visionary SuccessorsWei Li
 
Digital Futures: Courses and Careers Workshop 1
 Digital Futures: Courses and Careers Workshop 1 Digital Futures: Courses and Careers Workshop 1
Digital Futures: Courses and Careers Workshop 1Western Sydney University
 
Exponential Organizations - Why new organizations are 10x better, faster and ...
Exponential Organizations - Why new organizations are 10x better, faster and ...Exponential Organizations - Why new organizations are 10x better, faster and ...
Exponential Organizations - Why new organizations are 10x better, faster and ...Yuri van Geest
 
The Second Machine Age: An Industrial Revolution Powered by Digital Technologies
The Second Machine Age: An Industrial Revolution Powered by Digital TechnologiesThe Second Machine Age: An Industrial Revolution Powered by Digital Technologies
The Second Machine Age: An Industrial Revolution Powered by Digital TechnologiesCapgemini
 
How will automation affect your career
How will automation affect your careerHow will automation affect your career
How will automation affect your careerAmber Guirguis
 

La actualidad más candente (20)

Becoming an exponential organization in an Age of Disruption
Becoming an exponential organization in an Age of DisruptionBecoming an exponential organization in an Age of Disruption
Becoming an exponential organization in an Age of Disruption
 
Exponential Technologies and Exponential Organizations Mix
Exponential Technologies and Exponential Organizations MixExponential Technologies and Exponential Organizations Mix
Exponential Technologies and Exponential Organizations Mix
 
What's the Future?
What's the Future?What's the Future?
What's the Future?
 
Now, Robot: Artificial Intelligence in 2017
Now, Robot: Artificial Intelligence in 2017Now, Robot: Artificial Intelligence in 2017
Now, Robot: Artificial Intelligence in 2017
 
Von Silicon Valley lernen (oder nicht)
Von Silicon Valley lernen (oder nicht)Von Silicon Valley lernen (oder nicht)
Von Silicon Valley lernen (oder nicht)
 
Exponential organizations Teodor Panayotov 10.11.14
Exponential organizations Teodor Panayotov 10.11.14Exponential organizations Teodor Panayotov 10.11.14
Exponential organizations Teodor Panayotov 10.11.14
 
The Future of Work
The Future of WorkThe Future of Work
The Future of Work
 
Clubs Queensland - Keynote - 15 september 2015 - Craig Rispin Business Futuri...
Clubs Queensland - Keynote - 15 september 2015 - Craig Rispin Business Futuri...Clubs Queensland - Keynote - 15 september 2015 - Craig Rispin Business Futuri...
Clubs Queensland - Keynote - 15 september 2015 - Craig Rispin Business Futuri...
 
The Second Machine Age
The Second Machine AgeThe Second Machine Age
The Second Machine Age
 
The Second Machine Age
The Second Machine AgeThe Second Machine Age
The Second Machine Age
 
What's Wrong with the Silicon Valley Growth Model (Extended UCL Lecture)
What's Wrong with the Silicon Valley Growth Model (Extended UCL Lecture)What's Wrong with the Silicon Valley Growth Model (Extended UCL Lecture)
What's Wrong with the Silicon Valley Growth Model (Extended UCL Lecture)
 
Future of ai 20190507 v7
Future of ai 20190507 v7Future of ai 20190507 v7
Future of ai 20190507 v7
 
Milano short 20190530 v2
Milano short 20190530 v2Milano short 20190530 v2
Milano short 20190530 v2
 
Innovation and the Future
Innovation and the FutureInnovation and the Future
Innovation and the Future
 
Dscoop Craig Rispin Keynote October 23, 2014
Dscoop Craig Rispin Keynote October 23, 2014Dscoop Craig Rispin Keynote October 23, 2014
Dscoop Craig Rispin Keynote October 23, 2014
 
Why Visionary CEOs Never Have Visionary Successors
Why Visionary CEOs Never Have Visionary SuccessorsWhy Visionary CEOs Never Have Visionary Successors
Why Visionary CEOs Never Have Visionary Successors
 
Digital Futures: Courses and Careers Workshop 1
 Digital Futures: Courses and Careers Workshop 1 Digital Futures: Courses and Careers Workshop 1
Digital Futures: Courses and Careers Workshop 1
 
Exponential Organizations - Why new organizations are 10x better, faster and ...
Exponential Organizations - Why new organizations are 10x better, faster and ...Exponential Organizations - Why new organizations are 10x better, faster and ...
Exponential Organizations - Why new organizations are 10x better, faster and ...
 
The Second Machine Age: An Industrial Revolution Powered by Digital Technologies
The Second Machine Age: An Industrial Revolution Powered by Digital TechnologiesThe Second Machine Age: An Industrial Revolution Powered by Digital Technologies
The Second Machine Age: An Industrial Revolution Powered by Digital Technologies
 
How will automation affect your career
How will automation affect your careerHow will automation affect your career
How will automation affect your career
 

Similar a AI and the future workforce - People disruption or opportunity?

Ai morality-today-2018-web
Ai morality-today-2018-webAi morality-today-2018-web
Ai morality-today-2018-webTom Daly
 
What Really is AI and How will it Shape our Future?
What Really is AI and How will it Shape our Future?What Really is AI and How will it Shape our Future?
What Really is AI and How will it Shape our Future?Ganes Kesari
 
Spohrer Ntegra 20230324 v12.pptx
Spohrer Ntegra 20230324 v12.pptxSpohrer Ntegra 20230324 v12.pptx
Spohrer Ntegra 20230324 v12.pptxISSIP
 
Smart Data 2017 #AI & #FutureofWork
Smart Data 2017 #AI & #FutureofWorkSmart Data 2017 #AI & #FutureofWork
Smart Data 2017 #AI & #FutureofWorkSteve Ardire
 
AI Presentation - Danial Shaikh
AI Presentation - Danial ShaikhAI Presentation - Danial Shaikh
AI Presentation - Danial ShaikhFraugster
 
AI-SDV 2020: AI, IoT, Blockchain & Co: How to keep track and take advantage o...
AI-SDV 2020: AI, IoT, Blockchain & Co: How to keep track and take advantage o...AI-SDV 2020: AI, IoT, Blockchain & Co: How to keep track and take advantage o...
AI-SDV 2020: AI, IoT, Blockchain & Co: How to keep track and take advantage o...Dr. Haxel Consult
 
Applied AI/ML in the Workplace - Geek Food for Thought
Applied AI/ML in the Workplace - Geek Food for ThoughtApplied AI/ML in the Workplace - Geek Food for Thought
Applied AI/ML in the Workplace - Geek Food for ThoughtTarek Hoteit
 
AI Predictions 2017
AI Predictions 2017AI Predictions 2017
AI Predictions 2017Peter Morgan
 
Do More. Do things that were previously impossible!
Do More. Do things that were previously impossible!Do More. Do things that were previously impossible!
Do More. Do things that were previously impossible!Tim O'Reilly
 
Future of ai 20180719 v9
Future of ai 20180719 v9Future of ai 20180719 v9
Future of ai 20180719 v9ISSIP
 
The First of Me! Insights from the Future of Digital at SxSW 2019
The First of Me! Insights from the Future of Digital at SxSW 2019The First of Me! Insights from the Future of Digital at SxSW 2019
The First of Me! Insights from the Future of Digital at SxSW 2019Inês Almeida
 
5 ”WHYs” of the Cognitiva Era
5 ”WHYs” of the Cognitiva Era5 ”WHYs” of the Cognitiva Era
5 ”WHYs” of the Cognitiva EraRoberto Villa
 
The-Business-of-Artificial-Intelligence.pdf
The-Business-of-Artificial-Intelligence.pdfThe-Business-of-Artificial-Intelligence.pdf
The-Business-of-Artificial-Intelligence.pdfShaikhZarin
 
20220307 utah state dixon_class v15
20220307 utah state dixon_class v1520220307 utah state dixon_class v15
20220307 utah state dixon_class v15ISSIP
 

Similar a AI and the future workforce - People disruption or opportunity? (20)

S0-Stephen.pptx
S0-Stephen.pptxS0-Stephen.pptx
S0-Stephen.pptx
 
Ai morality-today-2018-web
Ai morality-today-2018-webAi morality-today-2018-web
Ai morality-today-2018-web
 
What Really is AI and How will it Shape our Future?
What Really is AI and How will it Shape our Future?What Really is AI and How will it Shape our Future?
What Really is AI and How will it Shape our Future?
 
Spohrer Ntegra 20230324 v12.pptx
Spohrer Ntegra 20230324 v12.pptxSpohrer Ntegra 20230324 v12.pptx
Spohrer Ntegra 20230324 v12.pptx
 
Smart Data 2017 #AI & #FutureofWork
Smart Data 2017 #AI & #FutureofWorkSmart Data 2017 #AI & #FutureofWork
Smart Data 2017 #AI & #FutureofWork
 
Artificial Intelligence
Artificial IntelligenceArtificial Intelligence
Artificial Intelligence
 
AI Presentation - Danial Shaikh
AI Presentation - Danial ShaikhAI Presentation - Danial Shaikh
AI Presentation - Danial Shaikh
 
AI-SDV 2020: AI, IoT, Blockchain & Co: How to keep track and take advantage o...
AI-SDV 2020: AI, IoT, Blockchain & Co: How to keep track and take advantage o...AI-SDV 2020: AI, IoT, Blockchain & Co: How to keep track and take advantage o...
AI-SDV 2020: AI, IoT, Blockchain & Co: How to keep track and take advantage o...
 
Applied AI/ML in the Workplace - Geek Food for Thought
Applied AI/ML in the Workplace - Geek Food for ThoughtApplied AI/ML in the Workplace - Geek Food for Thought
Applied AI/ML in the Workplace - Geek Food for Thought
 
AI Predictions 2017
AI Predictions 2017AI Predictions 2017
AI Predictions 2017
 
Leading the Future
Leading the FutureLeading the Future
Leading the Future
 
Do More. Do things that were previously impossible!
Do More. Do things that were previously impossible!Do More. Do things that were previously impossible!
Do More. Do things that were previously impossible!
 
Ramsus Aaen Madesn HR4 ICT12
Ramsus Aaen Madesn HR4 ICT12Ramsus Aaen Madesn HR4 ICT12
Ramsus Aaen Madesn HR4 ICT12
 
Future of ai 20180719 v9
Future of ai 20180719 v9Future of ai 20180719 v9
Future of ai 20180719 v9
 
The First of Me! Insights from the Future of Digital at SxSW 2019
The First of Me! Insights from the Future of Digital at SxSW 2019The First of Me! Insights from the Future of Digital at SxSW 2019
The First of Me! Insights from the Future of Digital at SxSW 2019
 
European Innovation Academy Kick-off 2014
European Innovation Academy Kick-off 2014European Innovation Academy Kick-off 2014
European Innovation Academy Kick-off 2014
 
5 ”WHYs” of the Cognitiva Era
5 ”WHYs” of the Cognitiva Era5 ”WHYs” of the Cognitiva Era
5 ”WHYs” of the Cognitiva Era
 
The-Business-of-Artificial-Intelligence.pdf
The-Business-of-Artificial-Intelligence.pdfThe-Business-of-Artificial-Intelligence.pdf
The-Business-of-Artificial-Intelligence.pdf
 
20220307 utah state dixon_class v15
20220307 utah state dixon_class v1520220307 utah state dixon_class v15
20220307 utah state dixon_class v15
 
AI and Future Jobs
AI and Future JobsAI and Future Jobs
AI and Future Jobs
 

Último

BCE24 | Virtual Brand Ambassadors: Making Brands Personal - John Meulemans
BCE24 | Virtual Brand Ambassadors: Making Brands Personal - John MeulemansBCE24 | Virtual Brand Ambassadors: Making Brands Personal - John Meulemans
BCE24 | Virtual Brand Ambassadors: Making Brands Personal - John MeulemansBBPMedia1
 
Upgrade Your Banking Experience with Advanced Core Banking Applications
Upgrade Your Banking Experience with Advanced Core Banking ApplicationsUpgrade Your Banking Experience with Advanced Core Banking Applications
Upgrade Your Banking Experience with Advanced Core Banking ApplicationsIntellect Design Arena Ltd
 
NewBase 25 March 2024 Energy News issue - 1710 by Khaled Al Awadi_compress...
NewBase  25 March  2024  Energy News issue - 1710 by Khaled Al Awadi_compress...NewBase  25 March  2024  Energy News issue - 1710 by Khaled Al Awadi_compress...
NewBase 25 March 2024 Energy News issue - 1710 by Khaled Al Awadi_compress...Khaled Al Awadi
 
A flour, rice and Suji company in Jhang.
A flour, rice and Suji company in Jhang.A flour, rice and Suji company in Jhang.
A flour, rice and Suji company in Jhang.mcshagufta46
 
Borderless Access - Global B2B Panel book-unlock 2024
Borderless Access - Global B2B Panel book-unlock 2024Borderless Access - Global B2B Panel book-unlock 2024
Borderless Access - Global B2B Panel book-unlock 2024Borderless Access
 
Data skills for Agile Teams- Killing story points
Data skills for Agile Teams- Killing story pointsData skills for Agile Teams- Killing story points
Data skills for Agile Teams- Killing story pointsyasinnathani
 
PDT 89 - $1.4M - Seed - Plantee Innovations.pdf
PDT 89 - $1.4M - Seed - Plantee Innovations.pdfPDT 89 - $1.4M - Seed - Plantee Innovations.pdf
PDT 89 - $1.4M - Seed - Plantee Innovations.pdfHajeJanKamps
 
The Vietnam Believer Newsletter_MARCH 25, 2024_EN_Vol. 003
The Vietnam Believer Newsletter_MARCH 25, 2024_EN_Vol. 003The Vietnam Believer Newsletter_MARCH 25, 2024_EN_Vol. 003
The Vietnam Believer Newsletter_MARCH 25, 2024_EN_Vol. 003believeminhh
 
Intellectual Property Licensing Examples
Intellectual Property Licensing ExamplesIntellectual Property Licensing Examples
Intellectual Property Licensing Examplesamberjiles31
 
Anyhr.io | Presentation HR&Recruiting agency
Anyhr.io | Presentation HR&Recruiting agencyAnyhr.io | Presentation HR&Recruiting agency
Anyhr.io | Presentation HR&Recruiting agencyHanna Klim
 
Ethical stalking by Mark Williams. UpliftLive 2024
Ethical stalking by Mark Williams. UpliftLive 2024Ethical stalking by Mark Williams. UpliftLive 2024
Ethical stalking by Mark Williams. UpliftLive 2024Winbusinessin
 
IIBA® Melbourne - Navigating Business Analysis - Excellence for Career Growth...
IIBA® Melbourne - Navigating Business Analysis - Excellence for Career Growth...IIBA® Melbourne - Navigating Business Analysis - Excellence for Career Growth...
IIBA® Melbourne - Navigating Business Analysis - Excellence for Career Growth...AustraliaChapterIIBA
 
Scrum Events & How to run them effectively
Scrum Events & How to run them effectivelyScrum Events & How to run them effectively
Scrum Events & How to run them effectivelyMarianna Nakou
 
Team B Mind Map for Organizational Chg..
Team B Mind Map for Organizational Chg..Team B Mind Map for Organizational Chg..
Team B Mind Map for Organizational Chg..dlewis191
 
The End of Business as Usual: Rewire the Way You Work to Succeed in the Consu...
The End of Business as Usual: Rewire the Way You Work to Succeed in the Consu...The End of Business as Usual: Rewire the Way You Work to Succeed in the Consu...
The End of Business as Usual: Rewire the Way You Work to Succeed in the Consu...Brian Solis
 
Q2 2024 APCO Geopolitical Radar - The Global Operating Environment for Business
Q2 2024 APCO Geopolitical Radar - The Global Operating Environment for BusinessQ2 2024 APCO Geopolitical Radar - The Global Operating Environment for Business
Q2 2024 APCO Geopolitical Radar - The Global Operating Environment for BusinessAPCO
 
AMAZON SELLER VIRTUAL ASSISTANT PRODUCT RESEARCH .pdf
AMAZON SELLER VIRTUAL ASSISTANT PRODUCT RESEARCH .pdfAMAZON SELLER VIRTUAL ASSISTANT PRODUCT RESEARCH .pdf
AMAZON SELLER VIRTUAL ASSISTANT PRODUCT RESEARCH .pdfJohnCarloValencia4
 
Boat Trailers Market PPT: Growth, Outlook, Demand, Keyplayer Analysis and Opp...
Boat Trailers Market PPT: Growth, Outlook, Demand, Keyplayer Analysis and Opp...Boat Trailers Market PPT: Growth, Outlook, Demand, Keyplayer Analysis and Opp...
Boat Trailers Market PPT: Growth, Outlook, Demand, Keyplayer Analysis and Opp...IMARC Group
 

Último (20)

BCE24 | Virtual Brand Ambassadors: Making Brands Personal - John Meulemans
BCE24 | Virtual Brand Ambassadors: Making Brands Personal - John MeulemansBCE24 | Virtual Brand Ambassadors: Making Brands Personal - John Meulemans
BCE24 | Virtual Brand Ambassadors: Making Brands Personal - John Meulemans
 
Upgrade Your Banking Experience with Advanced Core Banking Applications
Upgrade Your Banking Experience with Advanced Core Banking ApplicationsUpgrade Your Banking Experience with Advanced Core Banking Applications
Upgrade Your Banking Experience with Advanced Core Banking Applications
 
NewBase 25 March 2024 Energy News issue - 1710 by Khaled Al Awadi_compress...
NewBase  25 March  2024  Energy News issue - 1710 by Khaled Al Awadi_compress...NewBase  25 March  2024  Energy News issue - 1710 by Khaled Al Awadi_compress...
NewBase 25 March 2024 Energy News issue - 1710 by Khaled Al Awadi_compress...
 
Investment Opportunity for Thailand's Automotive & EV Industries
Investment Opportunity for Thailand's Automotive & EV IndustriesInvestment Opportunity for Thailand's Automotive & EV Industries
Investment Opportunity for Thailand's Automotive & EV Industries
 
A flour, rice and Suji company in Jhang.
A flour, rice and Suji company in Jhang.A flour, rice and Suji company in Jhang.
A flour, rice and Suji company in Jhang.
 
Borderless Access - Global B2B Panel book-unlock 2024
Borderless Access - Global B2B Panel book-unlock 2024Borderless Access - Global B2B Panel book-unlock 2024
Borderless Access - Global B2B Panel book-unlock 2024
 
Data skills for Agile Teams- Killing story points
Data skills for Agile Teams- Killing story pointsData skills for Agile Teams- Killing story points
Data skills for Agile Teams- Killing story points
 
PDT 89 - $1.4M - Seed - Plantee Innovations.pdf
PDT 89 - $1.4M - Seed - Plantee Innovations.pdfPDT 89 - $1.4M - Seed - Plantee Innovations.pdf
PDT 89 - $1.4M - Seed - Plantee Innovations.pdf
 
The Vietnam Believer Newsletter_MARCH 25, 2024_EN_Vol. 003
The Vietnam Believer Newsletter_MARCH 25, 2024_EN_Vol. 003The Vietnam Believer Newsletter_MARCH 25, 2024_EN_Vol. 003
The Vietnam Believer Newsletter_MARCH 25, 2024_EN_Vol. 003
 
Intellectual Property Licensing Examples
Intellectual Property Licensing ExamplesIntellectual Property Licensing Examples
Intellectual Property Licensing Examples
 
Anyhr.io | Presentation HR&Recruiting agency
Anyhr.io | Presentation HR&Recruiting agencyAnyhr.io | Presentation HR&Recruiting agency
Anyhr.io | Presentation HR&Recruiting agency
 
Ethical stalking by Mark Williams. UpliftLive 2024
Ethical stalking by Mark Williams. UpliftLive 2024Ethical stalking by Mark Williams. UpliftLive 2024
Ethical stalking by Mark Williams. UpliftLive 2024
 
IIBA® Melbourne - Navigating Business Analysis - Excellence for Career Growth...
IIBA® Melbourne - Navigating Business Analysis - Excellence for Career Growth...IIBA® Melbourne - Navigating Business Analysis - Excellence for Career Growth...
IIBA® Melbourne - Navigating Business Analysis - Excellence for Career Growth...
 
Scrum Events & How to run them effectively
Scrum Events & How to run them effectivelyScrum Events & How to run them effectively
Scrum Events & How to run them effectively
 
Team B Mind Map for Organizational Chg..
Team B Mind Map for Organizational Chg..Team B Mind Map for Organizational Chg..
Team B Mind Map for Organizational Chg..
 
The End of Business as Usual: Rewire the Way You Work to Succeed in the Consu...
The End of Business as Usual: Rewire the Way You Work to Succeed in the Consu...The End of Business as Usual: Rewire the Way You Work to Succeed in the Consu...
The End of Business as Usual: Rewire the Way You Work to Succeed in the Consu...
 
Q2 2024 APCO Geopolitical Radar - The Global Operating Environment for Business
Q2 2024 APCO Geopolitical Radar - The Global Operating Environment for BusinessQ2 2024 APCO Geopolitical Radar - The Global Operating Environment for Business
Q2 2024 APCO Geopolitical Radar - The Global Operating Environment for Business
 
AMAZON SELLER VIRTUAL ASSISTANT PRODUCT RESEARCH .pdf
AMAZON SELLER VIRTUAL ASSISTANT PRODUCT RESEARCH .pdfAMAZON SELLER VIRTUAL ASSISTANT PRODUCT RESEARCH .pdf
AMAZON SELLER VIRTUAL ASSISTANT PRODUCT RESEARCH .pdf
 
Boat Trailers Market PPT: Growth, Outlook, Demand, Keyplayer Analysis and Opp...
Boat Trailers Market PPT: Growth, Outlook, Demand, Keyplayer Analysis and Opp...Boat Trailers Market PPT: Growth, Outlook, Demand, Keyplayer Analysis and Opp...
Boat Trailers Market PPT: Growth, Outlook, Demand, Keyplayer Analysis and Opp...
 
WAM Corporate Presentation Mar 25 2024.pdf
WAM Corporate Presentation Mar 25 2024.pdfWAM Corporate Presentation Mar 25 2024.pdf
WAM Corporate Presentation Mar 25 2024.pdf
 

AI and the future workforce - People disruption or opportunity?

  • 1. Monday 12th June – 8am to 10am London Tech Week 2017
  • 3. Copyright © ASI All rights reserved AI and the future workforce 3 @ASIDataScience Copyright © ASI 2017 All rights reserved Charlotte Werger charlotte@asidatascience.com June 12th 2017
  • 4. • Now: Training at ASI • Before: Quant hedge fund manager • Econometrics, Machine Learning • Data science in Finance Charlotte Werger, PhD 4Copyright © ASI All rights reserved
  • 5. ASI specialises in applying Artificial Intelligence to solve business problems. 5
  • 6. Artificial Intelligence (AI) is the science of making computers do things that require intelligence when done by humans. -- Alan Turing
  • 7. Machine Learning = algorithms learning from experience.
  • 8. Big data = marketing buzzword
  • 9. Copyright © ASI All rights reserved Will a robot take my job? 9 “45% of the activities individuals are paid to perform can be automated with currently available technologies." “About 35% of current jobs in the UK are at high risk of computerisation over the following 20 years.” “A study in France showed that in 2011 the internet had created more jobs than it had destroyed "
  • 10. Copyright © ASI All rights reserved We don’t know what the future will look like 10
  • 11. Copyright © ASI All rights reserved 11 Lessons from history Lesson 1: Job tasks and skills will change
  • 12. Copyright © ASI All rights reserved 12 Lessons from history Change of skills Change of tasks
  • 13. Copyright © ASI All rights reserved Lessons from history 13 Lesson 2: Job types will change
  • 14. Copyright © ASI All rights reserved Lessons from history 14
  • 15. Copyright © ASI All rights reserved Lessons from history 15 Lesson 3: Change happens at a rapid pace and there will be winners and losers
  • 16. Copyright © ASI All rights reserved 16
  • 17. Copyright © ASI All rights reserved Winners and losers 17 Both companies and people will be either winners or losers in the AI revolution The difference between the two comes down to skills and mindset Your job in HR is to make sure that the people that are employed by you, and the company that you work for are on the winning side.
  • 18. Copyright © ASI All rights reserved Winners and losers: People 18 Who is at risk of “being automated”? What can you do to prevent becoming irrelevant? Become the “automator”, not the automated
  • 19. Copyright © ASI All rights reserved 19 • Average age of workers in the UK is 39: roughly 30 more years till pension • Lifelong learning • ASI: Large amount of workers are in "data analytics" jobs • Can easily be up-skilled to implementing data science Winners and losers: People
  • 20. Copyright © ASI All rights reserved 20 1946: "Television won't be able to hold on to any market it captures after the first six months. People will soon get tired of staring at a plywood box every night." — Darryl Zanuck, 20th Century Fox. Winners and losers: Companies
  • 21. Copyright © ASI All rights reserved 21 1946: "Television won't be able to hold on to any market it captures after the first six months. People will soon get tired of staring at a plywood box every night." — Darryl Zanuck, 20th Century Fox. 2005: "There's just not that many videos I want to watch." — Steve Chen, CTO and co-founder of YouTube expressing concerns about his company’s long term viability. Winners and losers: Companies
  • 22. Copyright © ASI All rights reserved 22 1946: "Television won't be able to hold on to any market it captures after the first six months. People will soon get tired of staring at a plywood box every night." — Darryl Zanuck, 20th Century Fox. 2005: "There's just not that many videos I want to watch." — Steve Chen, CTO and co-founder of YouTube expressing concerns about his company’s long term viability. 2007: “There’s no chance that the iPhone is going to get any significant market share.” — Steve Ballmer, Microsoft CEO. Winners and losers: Companies
  • 23. Copyright © ASI All rights reserved 23 Winners and losers: Companies
  • 24. Copyright © ASI All rights reserved 24 Winners and losers: Companies
  • 25. Copyright © ASI All rights reserved 25 Winners and losers: Companies
  • 26. Copyright © ASI All rights reserved 26 Case Study - predictive staffing PROFILE • Large airline operates in more than 30 countries. • Employs over 3,000 pilots and 10,000 cabin crew. • Last year they flew over 80 million passengers.
  • 27. Copyright © ASI All rights reserved 27 Case Study - predictive staffing SITUATION • Predict daily staff contingency required to cover routine disruption. • Ensure the planes can fly, with the minimum of standby crew • Improve on fixed estimates across the year for different airports.
  • 28. Copyright © ASI All rights reserved 28 ACTION • We identified the significant factors that drive standby demand • We worked with their analytics team and HR, using their staffing data to build a machine learning model • Created tool for staff schedulers so they could make more accurate estimates for each airport, and each day Case Study - predictive staffing
  • 29. Copyright © ASI All rights reserved 29 IMPACT • dynamic model reduced standby staffing levels from 21% to 14%. • saving of more than £10 million pounds each year. Case Study - predictive staffing
  • 30. Copyright © ASI All rights reserved AI and realised impact in 2017 - 50 McKinsey cases 30 Industry Cost savings (%) Revenue upside (%) Metals 8-15% 6-15% Telecom 15-30% 2-5% Banking 10-15% 3-5% Retail 10-20% 3-5% Source:McKinsey & Company
  • 31. Copyright © ASI All rights reserved Winners and losers: Executives decide 31
  • 32. Copyright © ASI All rights reserved 32Copyright © ASI 2017 All rights reserved @ASIDataScience Charlotte Werger charlotte@asidatascience.com Don't hesitate to get in touch!
  • 34. London Tech Week 2017 Dr Tim Sparkes CPsychol AFBPsS Talent Solutions Director, Hudson
  • 35. We are right now in the final stages of [evolution]. Biology and technology will begin to merge in order to create higher forms of life and intelligence. Ray Kurzweil, Director of Engineering, Google Alphabet could have perfectly good intentions but still produce something evil by accident Elon Musk, SpaceX, Tesla, OpenAI, Neuralink With artificial intelligence we are summoning the demon…humanity’s biggest existential threat Elon Musk, SpaceX, Tesla, OpenAI, Neuralink These new technologies may threaten the very fabric of society, and ultimately our humanness Gerd Leonhard, CEO TheFuturesAgency Development of full artificial intelligence could spell the end of the human race  Stephen Hawking I think human extinction will probably occur, and technology will likely play a part in this. Shane Legg, Deep Mind
  • 36. The changing work environment Employee skill-sets that were an asset to organisations a decade ago are now a minimum requirement to carry out roles effectively. The Digiskills Report, ADBL, 2016” “ Growing complexity Generational Shift Millennial Mindset Technology Proliferation Talent-on- Demand Economy Selection Methods Public Talent Profile (whether you know it not)
  • 37. The changing work environment The ability of an organisation to renew itself, adapt, change quickly, and succeed in a rapidly changing, ambiguous, turbulentenvironment. Aaron de Smet, Senior Partner, McKinsey & Company ” “ 35% 79% 2012 2015 Companies with a shortage of critical skills Hiring successmanagement: Aberdeen group 2015 Mismatch: skills vs job criteria 87% Computer Weekly,2016 67% Org agility is business critical Agile HR: Mindsetnot Methodology, Orion 2016 43% Companies that do not have a way to upskill The Digiskills Report, ADBL, 2016 94%Agility & collaboration critical to success Deloitte 2017
  • 38. The changing work environment A B C D E Shared values/culture Transparent goals Feedback
  • 39. The changing work environment McKinsey Quarterly July 2016
  • 40. The evolution of humans Selfish desire to get ahead Prosocial desire to get along Self- Awareness Curiosity Entrepreneur ship Creativity Opportunism Proactivity Vision
  • 41. The New World of Talent Identification Andre Lavoie, Aberdeen Essentials
  • 42. The New World of Talent Identification Networks & Observations Biodata, Supervisory Rating Typicaltalent identification 360 feedback IQ tests & SJTs Interviews Self Report
  • 43. The New World of Talent Identification Interviews applymagicsauce.com MichalKosinski Web scraping A New Talent Identification Ecosystem Predictive analytics Gamification Digital interviews Crowdsourced Peer ratings Big Data
  • 44. Accuracy? Relevance? New talent signals or just new methods? Theory and cause? Artificial Intelligence and Talent Management Because we can’t predict the future, companies that need to innovate often have only a partial idea of who they need to hire and what those people need to do. Prof Vaughn Tan ” “ Learning Management Systems? Performance Management? Coaching? Onboarding? Social purpose and meaning? Abraham Maslow, A Theory of Human Motivation 1943
  • 45. Culture as environment Glassdoor Summit Sept 2016: Frequency of Google Searches on workplace culture since 2008 2016 ‘Best-in-Class’ Performing Companies vs others 24%100%36% More satisfied with new hires 2x + Define success of top performance 97% More likely to have consistent criteria More likely to provide cultural fit insight 100% More likely to have ‘performance exceeders’ 24%
  • 46. 96% of employers would choose someone with the right mindset over the right skillset (Reed & Stoltz, 2012) In a world of rapid disruption and change, having a core set of competencies is an outmoded principle of business. Mark Parker, CEO, Nike When we recruit, we focus on what can’t be taught. Natural attributes such as openness and willingness to collaborate are essential; other skills can be embedded over time Nathan McDonald, Co-Founder at We Are Social
  • 47. Mindset and Engagement Purpose really comes down to mindset…a culture that taps into your people’s sense of aspiration... empowering everyone …not just to do better, but to be better. Mark Weinberger, Global Chairman & CEO, EY ”“ Purpose is playing a central role in engaging staff in their work and acting as a focal point for rewarding effort that has an impact beyond numbers or productivity Purpose in Practice, Claremont Communications 2016 Affiliation Achievement Meaning Enthusiasm for development Effort Attention Dealing with setbacks Interpersonal interactions Employee Engagement Employee Mindset The Potential role of Mindsetsin UnleashingEmployeeEngagement. Keating, LA & Heslin, PA, Human Resource Management Review 25(4), 2015
  • 48. Mindset and Engagement Insight into preferred ways (and non-preferred ways) of working within the business context Higher reliability and validity than most tools on the market Translated into more than 20 languages Identifies false results
  • 49. Measuring preferred work environments Motivator: part of engagement and retention; some motivation profiles are more suitable for certain roles Internal and external factors that stimulate interest and curiosity, and commitment to ongoing effort in attaining goals…because it’s rewarding. ‘Demotivators’ drain The information that needs to be processed The tasks that need to be accomplished How the person is managed Interaction with others Personal needs
  • 50. Challenge Mindset The appealof deriving originalinsights from analysing complex business challenges. Change Mindset The preferencefor variety and new ways of doing things. Leading Mindset An approach of persuasionand encouragementrather than direction and authority. Solutions Mindset Enjoying developing creativesolutions to overcome barriers to drive results. Collaborative Mindset Valuing and working with others and with a co-operative team spirit. Selection Development Team formation Organisational mapping Engagement Commitment Effectiveness Adaptability PULSE MINDSET™ Visit: PulseMindset.digital
  • 51. Since humans are programming the code for AI, this…means we have to codify our own values. John Havens, Heartifical Intelligence ” “ Machines have…been very bad at the kind of thinking needed to anticipate human behaviour. Max Galka, University of Pennsylvania ” “ What we concluded is that what AI is definitely doing is not eliminating jobs, it is eliminating tasks of jobs, and creating new jobs, and the new jobs that are being created are more human jobs. Josh Bersin, Principal & Founder, Bersin by Deloitte ” “
  • 54. Dr Tim Sparkes CPsychol AFBPsS Talent Solutions Director, Hudson tim.sparkes@hudson.com @Hudson_UK_rec uk.hudson.com Thank you!