13th CRO Assembly Our changing risk landscape Smarter Citiese07d0d97-16f3-4635...IBM Cloud &...
Transcript of 13th CRO Assembly Our changing risk landscape Smarter Citiese07d0d97-16f3-4635...IBM Cloud &...
IBM Cloud & Cognitive
13th CRO AssemblyOur changing risk landscape
Smarter CitiesNorbert EnderIBM Switzerland
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Agenda 01
02
03
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Today’s harsh realities impact all cities
Tourists
Local & ImmigrantsDeclining Budgets
Climate Change
Aging populations
AgingInfrastructure
Innovation
Investment
Community
Sustainability
Roads CongestionLast mile Goods delivery
WaterEnergy
Waste Management
Security SafetyFraud
Economic Stress
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Vibrant cities are realizing their full potential by integratingacross functions, capitalizing on new insights, creatingsystem-wide efficiencies and collaborating in new ways
Definition:
‘A Smart City is a city seeking toaddress public issues via ICT-basedsolutions on the basis of a multi-stakeholder, municipally basedpartnership
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The relationship between Projects, Initiatives and Cities
Ref: Mapping Smart Cities in the EU, January 2014
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Data are the next natural resources and innovativetechnologies are accelerating the transition to a new era.
Mobile
Cloud
Social
Internet of Things
Cognitive
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City of Rio – Making Rio a Safer City
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City of Montpellier – Creating a Smarter Cities Ecosystem
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City of Madrid – Transformation towardsa Smarter City
Ayuntamiento de Madrid(MADRID CITY COUNCIL)
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The Business case driving the project is based on the SLA agreement with the service provider companies in charge of the contracts below and the process of inspecting and evaluating penalizations for the work not well performed
Integral contract Budget
1 C.I. Mobility862 M€
2 C.I. Instalations
772 M€
3 C.I. Road Surface and Civil Construction
261 M€
4 C.I. Urban Waste800 M€
5 C.I. Cleaning and Gren Zones 1.943 M€
6 C.I. Historical and special parks 278 M€
Up to 6% reduction in the total cost of certain
city services
1.943 M€ Contract of Cleaning for 10 years
• 194 M€ in one year
• 16 M€ every month
If penalizations can reduce up to 6%, it means
1M€ by month of ROI during 10
years of contract as average
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With over 6.3 million passenger trips made daily on the Singapore public
transport system, any disruption can impact the travelling experience of
hundreds of thousands of commuters.
As part of the FASTER agreement, the LTA and IBM are working together to
combine
• farecard data
• video data from select MRT stations
• anonymized telecommunications data
for aggregate-level mobility analysis.
Singapore – leading in Smart Mobility
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To better manage public transport incidents and special
events through improved resource allocation and pre-
emptive crowd management
Model to predict
• Traffic system
• Passenger behavior
Creation of disposition recommendations in real
time
• short turns
• substitute transports
Singapore LTA and IBM Collaborate to Improve Transport with Data for Singapore CommutersApplying advanced and predictive analytics for people-centered, real-time and dynamic public transport incident management
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Succesful Transformation towards a Smarter City – the 3 A’s
Awareness: Leverage real-time visibility across city data sources
Anticipate: Proactively identify problems to mitigate impact to services
Act: Coordinate cross-agency operations to drive better business outcomes
Benefits
Increased Revenue
Operational efficiencies
Reduced Costs
Economic Vitality
Challenges
Reduced Budgets
Increase Delivery Expectations
Aging Infrastructure
Increased Threats
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Internal and Business Partner Use Only
Security Risks
• Managing the technical Complexity
• Cyber Security
Data Privacy
• Smart Cities Need Smart Privacy Protections
Social Demographical Risks
• Failing to bridge the ‘digital divide’
• Smart cities create winners and losers
Potential exposures (i.e. risks) of Smarter Cities Projects
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Internal and Business Partner Use Only
Smart Cities is gaining momentum
Changing Risks• of both individual and business customers
• Smart technologies have the potential to
dramatically reduce risks
• Vehicles
• Property
• people’s health and well-being.
• New Risks• cyber-risk
• Increasing liability exposures
Conclusions for Insurance Businesses
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Internal and Business Partner Use Only
Thank You
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