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What’s around the Corner?

Paal Johansen, VP & Regional Director, AmericasNew York, 29th October 2015

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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!