Understanding the signals

Understanding the signs
A exercise about the future and opportunities
Todos os direitos reservados – Carlos Cruz 2017

O cenário global dos mercados de trabalho estão em mudança, entre
empregos de baixa habilidade, desemprego, subemprego e rendimentos
estagnados e de outro lado a crescente necessidade de novos talentos, novos
conhecimentos e a habilidade mais requerida o aprender-a-aprender.
Entendendo os sinais - Um exercício sobre o futuro propõem uma reflexão
sobre as novas oportunidades que novas tecnologias trazem para uma nova
era.
Carlos Cruz, IT Strategy and Innovation Director For Financial Services & Startup Mentor
carlosxaviercruz@yahoo.com.br
https://www.linkedin.com/in/carlosjxcruz/

A Brief History of Time
20171700 1800 1900
Special Century 197018 70
carlosxaviercruz@yahoo.com.br
https://www.linkedin.com/in/carlosjxcruz/

A Brief History of Time
First Industrial Revolution
1800 1900 202011771700 1800 1900
Special Century 197018 70
T R A N S P O R T
Electric Autonomous Vehicles,
Internet of Things, Access
THE NEXT REVOLUTION
E N E R G Y
Renewable, Distributed,
Internet of Things
C O M M U N I C AT I O N S
Internet, Social, Mobile,
Apps, Bots

“Estamos à beira de uma revolução tecnológica que alterará
fundamentalmente a forma como vivemos, trabalhamos e nos
relacionamos um com o outro.
Em sua escala, alcance e complexidade, a transformação será diferente de
qualquer coisa que a humanidade tenha experimentado antes”
Klaus Schwab, Founder and Executive Chairman of the World Economic Forum

https://www.youtube.com/timedtext_video?ref=player&v=ystdF6jN7hc

Exponential Changes and Organizations
89% of the Fortune 500 companies from
1955 are not on the list in 2014.
The average half life of a business
competency has dropped from 30
years in 1984 to 5 years in2014.
The average lifespan of an S&P 500
company has decreased from:
67 years (1920’s) to
In the next 10 years 40% of all S&P 500
companies will disappear from this list”
Market Cap to a Billion

While the information-based world is now moving exponentially, our
organizational structures are still very linear (especially larger and older ones)

Linear Vs. Exponential

We’ve learned how to scale technology (mainly cloud
computing since 2006)
Now it’s time to scale the organization: strategy,
structure, processes, culture, KPIs, people and systems

Source: Exponential Organizations

Performance Improvement

Market Value

Forces of Change
Tecnologia
Mudanças demográficas
Poder da Tração
Technology: AI, robotics, sensors, and data
Longer lives, growth of younger and
older populations, and greaterdiversity
Customer empowerment and the rise of global
talent markets
Implications
Work and workforces redeﬁned
• Reengineering work: Technology reshapes every job
• Transforming the workforce: The growth of
alternative work arrangements
Implications for individuals
• Engage in lifelong learning
• Shape your own career path
• Pursue your passion
Implications for organizations
• Redesign work for technology and learning
• Source and integrate talent across networks
• Implement new models of organizational structure,
leadership, culture, and rewards
Implications for public policy
• Reimagine lifelong education
• Transition support for income and health care
• Reassess legal and regulatory policies
Source: Deloitte analysis. Deloitte University Press | dupress.deloitte.com

Forces of Change
Social
Mobile
Internet
Internet of Things
Cloud
Big Data - Analytics
3D Printing
Renewable Energy
Robotics
Blockchain
Cognitive Systems
Nanotechnology
Drones
Genomics
Augmented reality
Precisionagriculture
Virtual reality
Cryonics
Full brain simulation
Regenerative medicine
Exoskeletons
Brain scanning
Brain-computerinterface
Flying cars
Lab grownmeat
Solar power satellites
Wireless power transmission
Artificial photosynthesis
Hyperloop
Aquaponics
Reusable rockets
4D printing
Visible light communications
Bioelectronics
Biophotonics
Photonics
Synthetic biology
Genetic engineering
Materials science
Quantum computing
Energy storage
Vertical farming
Science and Technologies: AI, robotics, sensors,
and data
What is different this time is that today’s advances in
digital technologies are remaking not just manufacturing
and low-skilled labor, the focus of past revolutions, but
every sector of the economy and society.

Forces of Change
Source: Organisation for Economic Co-operation and Development, "Labour market statistics: Labour force statistics by
sex and age: indicators," OECD Employment and Labour Market Statistics (database), DOI: http://dx.doi.org/10.
1787/data-00310-en, accessed April 21, 2017; United Nations Department of Economic and Social Aﬀairs, The world
population prospects: 2015 revision, 2015, http://www.un.org/en/development/desa/publications/world-population-
prospects-2015-revision.html.
Deloitte University Press | dupress.deloitte.com
15-24
55-64
25-34
65-74
35-44
75-79
45-54
80+
70
1995 2005 20102000 2015
OECDlabor participation rate, byage group
230
210
190
170
150
130
110
90
Normalizedparticipationrate
Demographics: Longer lives, growth of younger
and older populations, and greater diversity
The prospect of older generations working for longer periods
as their physical capability to remain employed improves
could affect the pace at which younger talent and ideas renew
organizations.

Forces of Change
The power of pull: Customer empowerment and
the rise of global talent markets
The “power of pull” can spur growing demand for more
creative work as customers shift away from mass-market
products and services, as workers in smaller businesses gain
greater access to the means of production, and as platforms
help to connect niche product and service providers with
smaller segments of customers globally.

Vatican City …
Basilica di San Pietro, Vatican City
Mobile, Digital, Social
Technology and change behavior

Data is the New Oil
A NEW commodity spawns a lucrative, fast-growing industry,
prompting antitrust regulators to step in to restrain those who
control its flow. A century ago, the resource in question was
oil. Now similar concerns are being raised by the giants
that deal in data, the oil of
the digital era.
Quantity has a quality all its own
What has changed? Smartphones and the internet have made
data abundant, ubiquitous and far more valuable. Whether
you are going for a run, watching TV or even just sitting in
traffic, virtually every activity creates a digital trace—more
raw material for the data distilleries. As devices from watches
to cars connect to the internet, the volume is increasing: some
estimate that a self-driving car will generate 100 gigabytes per
second. Meanwhile, artificial- intelligence (AI) techniques
such as machine learning extract more value from data.
Algorithms can predict when a customer is ready to buy, a jet-
engine needs servicing or a person is at risk of a disease.
Industrial giants such as GE and Siemens now sell themselves
as data firms.
This abundance of data changes the nature of competition.

Future Ahead
Work
Learning
Opportunity
Co-Worker
Motiviation
Balance

A New Era of Working
▪ Trabalharemos sob o conceito de teaming e
industrialização/Automação
▪ Algoritmos deslocará os gerentes do meio cujos trabalhos se
resolvem em torno da coleta de dados, supervisionando a
ação.
▪ Trabalharemos sobre a concepção deliberada de equipes
pequenas e flexíveis.
▪ Um estilo de liderança para ágil e para desenvolvimentos
sob demanda.

A New Era of Learning
▪ A economia digital exigirá novas idéias, novas informações e
novos modelos de negócios.
▪ Dois dos três empregos provavelmente serão definidos como
não-rotineiros.
▪ O trabalho cognitivo não-rotineiro será onde nós, como
trabalhadores de alto desempenho, não seremos superados.

A New Era of Opportunity
▪ Negócios digitais aumentaram a distribuição de trabalho em
comunidades de pessoas e em negócios de forma global.
▪ A mentalidade de "Pull" consumada dominará a mentalidade
de "Push" do século 20.
▪ Negócios internacionais aumentaram os relacionamentos com
China, EMEA e América do Norte.
▪ Teremos que pensar em novas formas de gerar valor, explorar
novos conjuntos de trabalho e monetizar resultados para gerar
novos empreendimentos, empresas e causas.

A new era of Co-worker
▪ AI, tecnologia de consumo, aplicativos baseados na internet e
poder de computação são dispositivos menores vão mudar
onde e como trabalhamos
▪ Smart Machines serão mais inteligente à medida que
avançamos para além da puraautomação
▪ Distribuir tarefas em máquinas inteligentes , software,
aplicativos e avatares em nossas carteiras pessoais significará
que vamos produzir cada vez mais

A New Era of Motivation
▪ Procuraremos o trabalho que nos desafia, os colegas que nos
estimulam e o propósito que nos impulsiona.
▪ Quase metade do gen Z planeja trabalhar com empresas e
instituições que demonstram responsabilidade social
corporativa
▪ Nosso impacto e valor estarão ligados à nossa missão, nosso
propósito e nossa paixão. Empresas e instituições nos
oferecerão uma oportunidade para alimentar nosso propósito e
causar um impacto socialmente significativo através do
trabalho.

A new era of balance
▪ Nós enfrentaremos a tensão para alimentar nossa cobertura e
assumir carteiras maiores de atribuições, até um ponto em que
vamos sentir como se estivéssemos trabalhando 24/7
▪ A tecnologia surgirá para monitorar e contrabalançar a
tensão quando trabalhamos demais e quando precisamos
recarregar.
▪ A tecnologia alcançará nossos biorritmos, necessidades
nutricionais e necessidades de exercícios e nos ajudará a
priorizar.
▪ O equilíbrio entre vida profissional e vida não será tão nítido .
Trabalharemos nos forçará a recalibrar os arranjos de trabalho e
a criar maisequidade.

You
Behaviors
Skills
Proposal
Sense
Technology

A Convergence of Paradigm Shifts
MakerEconomy
EnergyInternet
Healthy Life Extension
Connected
Healthcare
Smart Cities
Artificial Narrow Intelligence
Smart Homes
SmartGrid
Connected Car
Sharing (Access) Economy Next Generation
Education
Money2.0
Radical Life Extension
De-‐Extinction
Artificial Super Intelligence
Human 2.0
Human-‐MachineConvergence
Autonomous Vehicles
Cyberwar
Automation of Everything
Decentralization of Everything
Empowerment Economy
LogisticsInternet
Transport2.0
Institution2.0
Artificial General
Intelligence Circular Economy
Democracy2.0
Work2.0
Food2.0
Rise of theCrowd
Fall in Working AgePopulation
The Rise of Independent Workers
PopulationGrowth
ClimateChange
Reverse BrainDrain
GlobalInequality
Abundance
Millennial Focus onPurpose
AgingPopulation
Ownership toaccess
Growing Need for ElderCare
Shifting Views ofRetirement
The Changing Notion ofWork
GenerationalDifferences
Emerging MiddleClass
Rising EnergyDemand
GenerationZ
Decline in Fertility Rates
Five generations ofworkers
Increased Lifespans
TechnologicalUnemployment
Urbanization
FutureScenarios
Emerging and FutureAccelerators
InnovationAccelerators
Science and TechnologyFoundation
Internet
Social
Mobile
Cloud
Big Data -‐Analytics
3D Printing
RenewableEnergy
Internet of Things
CognitiveSystems
Nanotechnology
Robotics
Blockchain
Genomics
Drones
Power to theIndividual
Poverty
Disease
ResourceScarcity
Disability
Copyright© 2017 TataConsultancyServicesLimited

Copyright© 2017 TataConsultancy ServicesLimited
RenewableEnergy
Internet ofThings
Big Data :Analytics
Mobile
Cloud
CognitiveSystems
LogisticsInternet
Transport2.0
Nanotechnology
Robotics
Genomics
CircularEconomy
Sharing (Access)Economy
ConnectedHealthcare
SmartCities
ConnectedCar SmartHomes
MakerEconomy
EnergyInternet
Healthy LifeExtension
AutonomousVehicles
3DPrinting
SyntheticBiology
3
1
4
5
6
7
8
2
FutureScenarios
Emerging and FutureAccelerators
InnovationAccelerators
Science and TechnologyFoundation
Copyright© 2017 TataConsultancyServicesLimited

▪ Adaptable
▪ Influencers
▪ Collaborators
▪ Dot connectors
▪ Continuous learners
▪ Status-quo challengers
▪ Creative
▪ Curious
▪ Explorers
▪ Imaginative
▪ Critical Thinkers
▪ Problem solvers
▪ Emotional Intelligence
Future Human Skills Profile
Good Knowledge in Sales, Marketing and Finance

Some References and Lecture
Singularity University
https://singularityhub.com/
https://su.org/
World Economic Forum
https://www.weforum.org/
Futurism
https://futurism.com/
Frank Diana
https://frankdiana.net/
Carlos Cruz
https://datamethod.wordpress.com/
Gerd Leonhard
https://www.youtube.com/watch?v=ystdF6jN7hc&t=39s
Thanks Unesp Team and Enjoy!

Some References and Lecture
Thanks Unesp Team and Enjoy!

Understanding the signals

Empfohlen

Empfohlen

Weitere ähnliche Inhalte

Was ist angesagt?

Was ist angesagt? (19)

Ähnlich wie Understanding the signals

Ähnlich wie Understanding the signals (20)

Kürzlich hochgeladen

Kürzlich hochgeladen (20)

Understanding the signals