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DRAFT

© Copyright FUJITSU 2017© Copyright FUJITSU 2017

Fujitsu | digital

DJ Rodriguez

Sr. Client Executive |

Connected Automotive & Mobility

Fujitsu Corporate Vision

Through our constant pursuit of innovation, the Fujitsu Group aims to contribute to the creation of a networked society that is rewarding and secure, bringing about a prosperous future that fulfills the dreams of people throughout the world.

Monetizing Data- the layers

Vehicle as a Service

Component as a ServiceData to Support Component Tariff management

• MTBF

• Driver affect – Tyres, Brakes, Batteries

• Service Schedules

Data to support user tariff management

• Level of service

• Service options- extras

• Affects from VaaS and CaaS

Data to support Vehicle Tariff management

• Optimized usage

• Vehicle outage

• Flexibility

• Brand

Va

lue

Service

Commodity

The Fujitsu Technology Convergence Framework

Introducing FUJITSU Digital Annealer

A Revolutionizing technology solving real world “combinatorial optimization problems” overcoming the challenges of traditional quantum computing today!

Up to 10000 times faster than industry standard compute*

Performance 12 Moore’s Generations Ahead

Avoid the complexity and energy costs of advanced cooling solutions

* This figure is based on a Quadratic Assignment Problem benchmark against commercial solver. Detailed results are pending technology press publication.

End to End Approach

Last Mile Planning

Digital Annealer Solutions

Ind

ust

ry Life sciences

Transport

Manufacturing

Solu

tio

ns

Assets/Cash Management

Network Investment

Digital Annealer Algorithms

Pro

ced

ure

Infr

astr

uct

ure

/Se

rvic

es

MiddleWare

Graph Similarity

KnapsackMinimum K-Cut

Partitioning…

Retail

Financial Sector

…

FUJITSU Digital Annealer

Services Layer

Graph Coloring

Logistic Optimization

Molecular Comparison

Identify theproblem

Map theproblem

Run it on Digital

Annealer

Ex: vehicle navigation or cash in-transit

𝐸 𝑋 = −

{𝑖,𝑗}

𝑊𝑖𝑗𝑥𝑖𝑥𝑗 −

𝑖

𝑏𝑖𝑥𝑖C

o-creatio

n -

Co

nsu

lting –

Integratio

n –

Op

eration

Challenge for Developing Mobility Service

9 Copyright ©2018 Fujitsu America, Inc. All rights reserved.Fujitsu Restricted – Commercial in Confidence

What is Dracena?

FUJITSU CONFIDENTIAL Copyright 2018 FUJITSU LIMITED

Innovative real-time processing platform for “Digital Twin”Dracena: Dynamically-Reconfigurable Asynchronous Consistent EveNt processing Architecture


Our Differentiator – Fujitsu CompressionFujitsu Lightening provides value in every solution component

FujitsuLightening

In-Vehicle Storage

PlatformManagement

Storage

Analytics

Ingestion Station

NetworkBandwidth

Archive Compute

Emmy Awarded Technology


Fujitsu Lightening Solution Demonstration

1. Raw Image

■ 1.2 GB

■ Not efficient

2. Compression withFujitsu H264

■ 13MB = 99% compression

■ High Quality

3. Compression with Image Lightening

■ 0.9MB = 99.9% compression

■ Quality + Fidelity


Power of In-car Lightening

0

20

40

60

80

100

Standardcompression

(95%)

ImageLightening

(99.9%)

Data size reduced to

1/50 from standard

compression withImage Lightening

Flexibility and Ease of Data Management

Flexibility in storage capacity

■ less storage required = potential reduction of storage from 100 PB to 2 PB, reduction of archiving

■ faster network = 70TB of data transfer with 1 Gbps is reduced from 8 hours to 10 min

■ more capacity = capacity for unplanned expansion (more cars, more operational & analytics time, etc.)

■ more data in-car = driving capacity between ingestion times increases from 1 day to 50 days

Flexibility in analysis

■ more data in hot storage = flexible faster analysis

■ less compute time to process same data= faster development cycle

■ more flexibility in data exploration(store/share exploratory results, byproducts, etc.)

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