Transcript Financial Services in 2025

Disruptive Technologies in the
Urban Built Environment
Live | Work | Move
BASE London
30th June, 2015
Living, Working and Moving in 2025
Transformation through automation, integration, platform-enabled business models
Connected Living
World of Work
Transportation
Automated Controls
Automation & Optimisation
Autonomous Vehicles
Blended Services
Integrated Supply Chains
Multi-Mode Integration
Lifestyle as a Service
‘Uberisation’
Shared Economy
Source: Frost & Sullivan
MAFB-67
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Automation and Predictive Optimization
Cities must adapt to machines making policy & budget decisions
New Human-Digital Interfaces
AR: an overlay immersion experience
VR: a truly immersive experience.
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ML vendors offering as-a-service
products to enterprise
Locomotion challenges being
addressed in military context
Autonomous Robotics
Machines monitor, control
and interact with their local
environments
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‘Computer vision’: acquire, process
& understand the real world. Object
recognition
Data discovery and visualisation;
advanced analytics
Machine-Learning-as-a-Service
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Parties agree contracts without the
need for third-parties (lawyer, estate
agents, auditing)
Conditions enforced automatically
reducing costs of transactions
Block Chain ‘smart contracts’
Affordable machine-learning
optimises services through
pattern recognition and experimentation
Ultimately, machines
drive transactions with
humans and each other
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AI, Automation, and the Value of Labour: Potential for Social Conflict
Create more jobs than they eliminate (optimistic scenario) or eliminate more than they create (pessimistic)?
52%
Of experts say that AI
and automation will
either create jobs or
have little effect on
employment in 2025.
Optimistic Predictions
Historically,
employment adapts to
new technological
landscapes, so overall
cost of human labor
remains competitive.
Liability fears will limit
uses of AI and
automation.
Pessimistic Predictions
48%
Of experts say that AI and
automation will result in
significant job
eliminations (both white
and blue collar) by 2025.
Career Gains from AI and Automation
• AI technology and automation sales
• Programming/data science
• Cybersecurity
• Engineering psychology
• Automation technology design,
manufacturing and distribution
• Technology-specific training
Careers with High Risk of Replacement
Job loses not absorbed
quickly enough. Skills
education not able to
compensate.
• Telemarketers
Unemployment rises,
workers move to lower
pay brackets. More
income inequality and
societal unease.
• Tax preparers
• Mathematical technicians
• Insurance underwriters
• Data entry keyers
Source: PewInternet; The Economist; The Atlantic; Frost & Sullivan
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Timelines: When Does Technology Adoption
Reach Breakthrough Momentum?
Breakthroughs:
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Lab to PoC to product/service
Niche to mainstream
B2B project to RoI
Consumer awareness & value
proposition
• Investment frenzy….
Quantum
Computer
5G wireless
networks
Machine
Learning
4D Printing
BrainComputer
Interface
Carbon
Nanotube
Transistors
Drones
Autonomous
Road
Vehicles
ContextAware
Mobile
Big Data
Analytics
Robotics
Internet of
Things
Ubiquity, capacity & flexibility
Networks
Processing power
2015
2016
2017
2018
2019
2020
2021
2022
2023
2024
2025
Source: Frost & Sullivan.
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Disruptive Technology and ‘Wicked’ Problems
Data-Centric Economy Challenge is to Reduce Demand for Urban Infrastructure & Resources
Safer Cities Pressure
Points
Availability of housing
Budget squeeze
Fuel & energy consumption
Legacy ICT & operations
Congestion
Citizen Expectations
Reduction Effects
1. Process digitisation &
mobilisation enable
more remote working.
2. IoT monitoring & control
plus analytics identify
resource & system
inefficiencies
3. Automation &
optimisation correct
inefficiencies in real
time
Reduction Effects
1. Process digitisation &
mobilisation boost
productivity of
emergency personnel
2. Integrated IoT, CCTV,
wearables, drones,
social media gather
situational intelligence
from field
3. Automation &
optimisation predict
trouble spots and boost
prevention initiatives
MAFB-67
Technology Disruption:
Is a City’s digital transformation
just like any company’s?
Yes – it’s about adaptability of
internal Resources, Processes,
Goals & Culture
No – the range of stakeholders &
objectives is much broader
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Conclusions
Cities’ biggest (wicked)
problems are complex and
interdependent.
Technology can only provide
ever-improving tools - does not
drive change itself.
Nonetheless, radical solutions
can emerge as a side effect of
ongoing technological disruption
Data is the key…
Source: Frost & Sullivan
Urbanisation Pressure
Points
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Survey: Real-Time Cities Progress Heat Map
Each city is assessed on its progress
in terms of 8 factors, including
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Innovation in data & governance
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Use of real-time sources
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Use of open source
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Collaboration with partners
Oslo
Helsinki
Aarhus
Aalborg
Gdansk
Groningen
Dublin
Astana
(Kazakhstan)
Milton
Keynes
Odense
Kazan
Berlin Krakow
Eindhoven
Cambridge
Bristol
Still many isolated projects
today; need for
interoperability & scale
Ghent
Graz
Vienna
Grand
Lyon
Santander
Pamploma
Key
Budapest
Trento
Each city is assessed on
the 8 factors above
• Advanced (green)
• Underway (orange)
• At an early stage (red)
Barcelona
Trikala
Valencia
See Conclusions section
for full results
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Thank you!
Sheridan Nye
Principal Analyst, ICT Europe,
Frost & Sullivan
[email protected]