dnv gl © 2015 1 what’s around the corner? paal johansen, vp & regional director, americas new...
TRANSCRIPT
DNV GL © 20151
What’s around the Corner?
Paal Johansen, VP & Regional Director, AmericasNew York, 29th October 2015
DNV GL © 2015 SAFER, SMARTER, GREENERDNV GL © 2015
MARITIME
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Global trendsshaping the shipping industry
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Four areas with significant impact on shipping
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World population and economy
World population and economy
Information and communication technology
Energy
Energy
Climate change and environment
Climate change and environment
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BIG DATA – DNV GL’s view
DEVELOPMENTS TOWARDS 2050
Data explosion Powering up Increased connectivity Software everywhere
IMPLICATIONS FOR SHIPPING More automation Digital information management Advanced modelling and simulation tools for design Increased seafarer welfare and safety
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Massive change is ongoing
• Increasing volume• Increasing velocity• Increasing variety• Increasing veracity
Big Data
• Things become smart• Smart products will radically change product
boundaries and competitionInternet of Things
• People are connected• Things become connectedConnectivity
• Moore’s law turned 50 this year. • Experts expect continuation to 2020Computing power
• Opportunity & challengeAutomating knowledge services
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The digital universe is exponentially growing
2013
Data created: 4.4 zettabyte (or 4.4 trillion gigabytes)
45% of adults have a smartphone
3 billion connected devices
2020
Data to be created: 44 zettabyte, which is a doubling every two years
80% of adults will have a smartphone
25 billion devices will be connected
Sources: IDC 2014, Gartner 2015, Economist 2015
The DU is all the digital data created, replicated and consumed in a single year.
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Data generated onboard a modern ship today is at +20 GB per day
Source: Maersk 2015
2800 sensors
20 GB per day
7000 channels
200 E/R sensors
1 TB per day for fleet transmitted
5000 data tags
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Big Data is already disrupting and creating businesses
… and the next is UBER Cargo?
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Our customers tell us that Big Data will change the way we work
Big Data radically changes operational practices and
processes.
The winners will be those that take bold decisions, not incremental steps.
Data ownership and access rights define
competitive advantage. Data is
becoming the raw material.
Data security and privacy are top on the
agenda.
Ship owners
Ship yards
Equipment suppliers
Oil majors
Oil & gas service suppliers
Electrical utilities
Energy service suppliers
Based on survey performed in mid 2014
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Data in a classification society – what is changing?
Class societies are always managing data. We have collected data from ships, analysed them and provided
decision support, with the main focus on safety and on performance.
With Big Data becoming available, we expect– easier access to data– real-time availability– advanced analytics and additional advice– more transparency (a general trend)
Core class services will not change in essence, but they will be enriched, the third-party role will likely become more important.
Additional advisory services and software products will become available, adding value beyond what is possible today.
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Big data opportunities – a class view
Improve knowledge on actual condition of ship and its systems through
– analysing more data collected on-board
– merging with existing survey data
– including data collected by customers
– merging with publicly available data
Share systematically information with ship owners to facilitate safer and more efficient ship operations and more effective integrity management.
Enrich existing and create new services related to, e.g.,
– enhanced survey and inspection services
– real-time advisory services
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DNV GL Maritime has already big data inspired / ready products
ECO Insight Voyage Performance Mgt
ShipManager Hull – Integrity Mgt Safety Dashboard
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ECO Insight – fleet performance at a glance
Detailed analysis and timelines for every vessel based on “snapshot reports”
Comparisons within fleet,benchmarks based on peer groups and AIS
Offers multiple filtering
Advanced analytics by DNV GL
“My Dashboard” for teams and individual users
Web access
PDF option for print or mail, option to display in tables
the first Big Data-inspired new DNV GL product
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Hull integrity management based on an 3D structural model
Life-cycle access to all information on hull condition
Observations done by crew (text, photos)
Thickness measurements
Fatigue hot spots based on design analysis
Survey records/data
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ShipManager Hull is Big Data-ready (to take in more data)
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Big data challenges – is the maritime industry gearing up for this?
Support rapid technology uptake by maritime industry through
– building common information platforms
– developing data standards and best practices
Ensure data quality for decision-making by
– understanding the data sources
– verifying against future standards
Ensure data security related to
– safeguarding data ownership and access
– protecting against cyber attacks
Build competences and capabilities (fast)
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Thank you for your attention!