tech trends 2018 - deloitte us...circle $136 m blockstream $76 m ripple $94 m dah $60 m with support...

Tech Trends 2018The symphonic enterprise

Internal session – 22 June 2018

© 2018 Deloitte Belgium 2

Introduction

Christian Combes


Reengineering “capital T” Technology

Reshaping the heart of the business

Transforming the enterprise

Data as a business asset

An ecosystem of trust

Man and machine

Reimagining engagement

Cyber andregulatory

Flexibility and ubiquity

BUSINESS OF IT

DIGITAL

ANALYTICS

CLOUD

DIGITAL REALITY

COGNITIVE

BLOCKCHAIN

RISK

CORE MODERNIZATION


Blockchain to blockchains

Blockchain moves from exploration into mission-critical production scenarios and advanced adoption means the need to integrate blockchains

Tim Paridaens, Hans Verheggen


Blockchain Trends 2018

Landscape


Blockchain Trends 2018

Landscape

Source: www.cbinsights.com

Top blockchain companies invested by FS

Blockchain Equity

InvestmentConsortia Examples of Pilots

341496 461

830

0

500

1000

1500

2014 2015 2016 2017

Blockchain Investment…

Circle $136 M

Blockstream $76 M

Ripple $94 M

DAH $60 M

With support from both Dubai Customs and Dubai Trade, IBM launched the Trade Finance PoC which is designed to track items shipped using different shipping methods

Northern Trust and IBM launched a blockchain-based solution for the private equity world. It allows the parties involved in a PE deal to look at one version of transaction data

IBM together with SecureKey and 6 Canadian Banks started working on a technology through which customers will use an app to verify their identity to anyone

An issuer was able to use its Nasdaq Linqblockchain ledger technology to successfully complete and record a private securities transaction - the first of its kind using blockchain technology

Visa & BTL have partnered to pilot BTL’s cross-border settlement platform Interbit. It is now ready to be used for real bank-to-bank transactions, as an alternative to the widely-used Swift messaging system

61

100

180

200

16

40

30

B3i

ISO / TC 307

16

30

40

0

0

0

20

15

0

JAN

2017

JAN

2018

http://www.cbinsights.com/


Blockchain technology is evolving

Landscape

Processing Capacity

Private / Permissioned

Blockchain – Configurable

consensus

Lightning networks

Channels

Off Chain Computing

OutcomeBlockchain going from a few

transactions a second, to hundreds of thousands

Data Storage

Side Chains storage

Off Chain Storage

Distributed filesystems

Cryptography

OutcomeBlockchain being able to store or reference to large datasets

Enterprise Application



consensus



network

Developments and deployments

toolbox

OutcomeBlockchain is move to

production with the arrival of enterprise grade platforms

Cryptography

Outcome

Existential threat of quantum

computing

Realiance on knowledge

islands of crytpo experts for

security

Key security complexity

required (hardware and

rigourous processes)

Blockchain community beginning to address key

issues around cryptography before scaling


Blockchain technology is evolving

Landscape

Blockchain Adoption Growth Curve

TODAY

Year of the Use Case

2015

Year of the Proof of Concept

2016

Invention of Bitcoin

2008

Year of Production

2018

DecentralizeEverything

BEYOND

STEP 3: Decentralised

Internet

STEP 2:Autonomous

Digital Entities

STEP 1: Increasing

market disruption

Year of Increasing Adoption

20192017

Year of the Pilot


Different industries - Existing PoCs

Blockchain at Deloitte

Smart ID enables an industry-wide transition from disconnected and duplicated customer information

records, to widespread integration with a distributed master identity

record.

Smart ID

ArtTracktive proposes a platform to solve traceability issues in art by

recording on Blockchain interactions between all parties involved in the

process such as loan and sell.

ArtTractive LenderBot

The Deloitte Lender Bot PoC provides tools for tracking micro insurance operations from new

client onboarding to the contracts due date

An omni-channel customer loyalty program on blockchain facilitating real time reward

Loyalty & Rewards Cross Border Payments

Facilitate direct payments, eliminating intermediaries involvement. Payments on

blockchain can be quick, cheap and data rich for AML checks

Ethereum-based solution seamlessly forming B2C contracts

and enabling receivables assignment between customers

Bonded Loans Platform

Improve regulatory reporting by providing an immutable reporting system which produces tailored

reports

RegChain

Establishing a KYC Utility which would facilitate more efficient onboarding for Fsi companies

KYC Utility

The solution allows for validation and sharing of certified

qualifications to meet regulatory requirements and manage

personal education records and professional development

EduChain

The Mercury POC leverages smart contracts enabled by

blockchain to provide trusted authenticity between parties and eliminate the unnecessary time

required to process trades

Trade Finance

A disrupted ledger to secure the certificate issuance process in

Business Assurance. The purpose is to deliver a certification profile that can be enhanced by other

sources of information

Certification

A personal information vault relating to consumer events which are timestamped &

immutable

Personal Event History

Fulfilling regulatory requirements by using blockchain technology to re-engineer the transfer pricing

process

Transfer Pricing

Loans provided by many lenders Reduction in manual processes

and inefficiencies from handling/storing documents

Syndicated Loans

DCHAIN is a Blockchain based product that will enable

companies to simplify claim processing & secure medical

records

Claims Processing

Trading and Settlement, Reconciliation Support, Smart

Contracts, Digitization,

Transaction Reporting

Trading platform built on Hyperledger fabric for smart loan

processing

LendSmart

Complete:

Design Stage:

Development:


Live Production – DNV GL

Blockchain at Deloitte

Integration ScalabilityImmutable Visibility

125,000live certificates

A trusted and secure solution where DNV GL can store and share

certificates for their customers and their customers’ customers.


Timeline evolution

Blockchain around the globe

Source: Deloitte.com/insigts


Reengineering technology

Foundational transformation of traditional IT departments from top-down organizational change and bottom-up architecture and infrastructure evolution

Christophe Moortgat, Werner Keutgens


Transforming IT departments, what is it all about ?

• Technology and business are no longer distinguishable segments and a new IT operating model is essential to success

• For years, IT has helped reengineer the business, yet few IT shops have done so themselves—that’s about to change

• Bottom-up: automation, paying back technical debt, and modernizing infrastructure

• Top down: transform how IT budgets, organizes, staffs, and delivers services


Transforming IT departments, is there a right focus ?

2016 focus:

Operational excellence

Implementing innovative solutions

2017 focus:

Availability and performance

Business process improvement

IT cost reduction

Digital capabilities

CybersecurityTrusted OperatorChange Instigator

Business Co-creator

Global: 35%Belgium: 14%



Simplifying IT infrastructure and redesigning the IT operating model scored below 40% !


Transforming IT departments, what is so problematic about it ?

Limited business value perception

Heavy technical debt

Missing IT governance basics

Low IT maturity level


Transforming IT departments, what is so problematic about it ?

• Know your organization.

• Know yourself.

• Change your people or change your people.


Transforming IT departments, it really can be disruptive …

IdeationDesign &

RequirementDevelop Build Test Release Operate


Transforming IT departments, it really can be disruptive …

DEVOPS DEVELOPMENT-RELEASE PROCESS

AGILE DEVELOPMENT

IdeationDesign &

RequirementDevelop Build Test Release Operate

Provisioningdynamic

environments

Automatedtesting

Continuousmonitoring

Continuoustesting

Continuousintegration


Transforming IT departments, cloud is near …



Software as a Service (SaaS)

Platform as a Service (PaaS)

Infrastructure as a Service (IaaS)

PaaS

IaaS

SaaS

Consumers can run applications in the cloud without the need to deploy or maintain them

Platform/solution stack where consumers can deploy and manage their applications

Consumers can provision computing resources (vm’s, networks, storage, etc.)



Innovation is an enablerContinuous innovation broadens and deepens PaaS capabilities delivered by vendors and industrialized functionalities

Cloud maturityCloud platforms gain maturity and emerges as a strategic platform for digital business

Integration ArchitectureNot the technology alone: integration and architecture enable a wide spectrum of cloud services

GovernanceIntermediation services advance to govern the diverse digital business ecosystems

ServerlessServerless platform architecture has a far-reaching impact in deployment, rapidness, stability and simplicity


Transforming IT departments, cloud key take-aways …

Put in place cloud portfolio

management and a service catalogue

with service owners

Leverage the Minimum Viable Cloud

(MVC) principle

Put in place a solid cloud governance

and operating model

Gradually build Cloud maturity with

non-business critical applications

Leverage Cloud for faster innovation

Leverage Cloud for standardization

and integration with software

frameworks


Transforming IT departments, cloud transformation journey …

STRATEGY MINIMUM VIABLE CLOUD DESIGN AND BUILD OPTIMIZE AND INNOVATE1 2 3 4

1

1

1

2

2

2

23

33

4

4

Cloud vision defined

Application rationalization conducted

Cloud strategy outlined

Applications assessed for cloud suitability

Migration waves decided

Minimum Viable Cloud (MVC) designed

Pilot migrations completed

Migration sprints initiated

Application migration process operational

Migration sprints completed

Multi-speed IT defined

Multi-speed IT deployed

Explore and Adopt Expand Manage and Transform

Here the organization strategy is decided and the existing application landscape is assessed to determine the migration roadmap

Here the applications are migrated using a set of standardized processes and tools in quick iterations

Here the cloud service delivery mechanism is then enhanced using multi-speed IT principles


Transforming IT departments, Deloitte cloud services, Common storefront …

SaaS

Implementation

Enterprise Resource Planning (ERP)

Customer Relationship Management (CRM)

Human Resources Transformation

Other SaaS Domains

Custom

Implementation

Cloud Native Application

Development

Cloud Native Application Architecture

Custom Platform Implementation

Cloud

Migration

Package Transition and Migration Services

Custom Transition and Migration Services

Application Modernization

Deloitte

Cloud Solutions

Deloitte Managed Analytics Platform

Deloitte SaaS Solutions

Cloud Enablement & Managed Services

Managed Services

Custom Enablement Services

BPaaS Services

Cloud Strategy &

Readiness

Business ModelDisruption

Strategy andBusiness Case

Readiness Assessment and Preparation

Cloud NativeProcess and Org*

Plan Execute Run


No-collar workforce

Andrew Pease


Not a dress code

Interactions with AI at work

What do we mean?

No Collar Workforce


Will a robot approve my loan?

No-Collar Workforce


DATA

Discovery Deployment

Will a robot approve my claim?

No-Collar Workforce

../../../../2017 Kickoff Videos/ML2 - Did You Know_Image Processing Example.mp4


Natural Language Processing

Speech Recognition

Image Recognition

Machine Learning

DeepLearning

Expert Systems

Knowledge Representation

Machine Translation

Text to Speech

Pattern Recognition

Supervised Learning

Neural Networks

Natural Language Understanding

Reinforcement Learning

Neural machine translation

Language Modeling

Clustering

Unsupervised learning

Classification and Ranking algorithms

AI technologies

No Collar Workforce


Natural language processing makes it possible

for machines to process and understand audio and

text data to automate tasks like translation,

interactive dialogue and sentiment analysis

Machine Learning models outcomes based on

the relationship among predictors found in

historical observations for which the result is

known. Feedback is essential!

Computer vision enables the collection,

processing and analysis of any information

obtained from digital images from various sources

as well as digital videos

Detection is used to identify individual data

records or patterns within massive and complex

datasets to identify those that are ‘abnormal’ or

anomalous

Rule-based systems capture and use experts’

knowledge to provide answers to tricky problems

that are governed by fixed rule-sets

Artificial Intelligence Applications

No Collar Workforce


Import Tax Classification

Rule-based & Machine learning


Human

Digital

Digital

Face-to-face

DATAIntegrated Proactive profiling

Proactive Profiling

Detection


Line crossing

CanvasControlcamera

Automated vessel routine

Computer Vision


Service desk automation

Natural Language Processing


AI is gaining traction at work….

…….and at home

The time is now

Deloitte is leading the way…

Conclusions

No Collar Workforce


API imperative

Enterprises should increasingly architect, design and build technology assets as a discrete set of digital building blocks that can be leveraged a variety of ways—embracing the “API imperative”

Frederik Dierickx


Industrial revolutions are fueled by interoperability and modularity

1950

Sabre1976

Apple

2000

Baidu

1903

Ford

1994

Amazon

2004

Facebook

1973

Swift1999

Alibaba

1998

Google


Public API’s are rising exponentially


A mandate from Jeff Bezos to Amazon employees

It’s not only about public API’s

• All teams will henceforth expose their data and functionality through service interfaces.

• Teams must communicate with each other through these interfaces.

• There will be no other form of inter-process communication allowed: no direct linking, no direct reads of another team’s data store, no shared-memory model, no back-doors whatsoever. The only communication allowed is via service interface calls over the network.

• It doesn’t matter what technology they use.

• All service interfaces, without exception, must be designed from the ground up to be externalizable. That is to say, the team must plan and design to be able to expose the interface to developers in the outside world. No exceptions.

Anyone who doesn’t do this will be fired. Thank you; have a nice day!


Bespoke solutions engineered to meet project needs

A fresh look on connecting systems


Integrating systems beyond the enterprise

A fresh look on connecting systems


API’s enable reuse across different layers of an application landscape


Modern lifecycle of API’s

A fresh look


Ensuring stakeholder support from the top

The shift from project- to API-focused development

Align budget and sponsorship

Scoping to identify common reusable services

Incenting reuse before “building new”

Staffing new development initiatives to enable the API vision

Balancing comprehensive enterprise planning with market need


OPPORTUNITIES & IMPACT

• APIs have been around for years, but increasingly, companies are using them to expose assets for reuse across and beyond the enterprise

• Leading organizations are reimagining core systems as microservices—building APIs using modern RESTful architectures and taking advantage of API management platforms

• Deploying APIs requires capabilities to help make them more discoverable, serviceable, and more easily monitored: portals, gateways, brokers, management, and monitoring

WHERE DOYOU START?

• Embrace an open API arbitrage model

• Base API information architecture design on enterprise domains

• Create mechanisms to measure consumption and reward teams that embrace reuse

• Determine where microservices can drive value

• Define key performance indicators (KPIs) for all exposed services

• Don’t forget external partners


The new core

Finance and supply chain converge with disruptive technologies to reshape business

Christian Combes


Michael Dell says “Data is the new jet fuel”…

Traditional “Data”

D ig i t a l Co r e(Re l a t i o na l Da t a )

…and the definition of “Data” has evolved

Extended “Data”

Senso r s & Dev i c e s

Ne t wo r k s & Ex t e r na l Se r v i c e s

C l o ud Se r v i c e s

So c i a l


The future of work is evolving…

Traditional ERP

• Desktop-based systems

• Computers and humans only

• Standard user experience

• Focus on Transactions with Analytics as afterthought

…and traditional ERP alone is not enough

Digital Innovation

• Mobile First, Device Agnostic

• Digital Twin, Bots and AI

• Persona-driven design

• Translytics – “analytics first” insight-driven processes


Business models are evolving…

Traditional Business Model

• Innovation as a differentiator

• Brick and Mortar Retail

• Enterprise-centric

…and demand a different approach to Digital Transformation

Digital Enterprise

• Innovation as table stakes

• Multi-channel experience of one

• Business Network oriented


Digital Transformation demands a bi-modal architecture

Intelligent InsightsBusiness Transactions

Customer Experience Workforce Engagement

IoT& Supply Chain Spend Management

Industry

Machine LearningAPI Containerization

Blockchain Cyber

S/4 Digital Core

HybrisSuccessFactors

ConcurFieldglass

Ariba

SAP Cloud Platform

& Leonardo

IoTMachine Learning

Big dataModern Analytics

BlockchainData Intelligence

What this means for YOU:

EMBED SAP Cloud

Platform and Leonardo in ALL SAP deals


Our response: The Deloitte Reimagine Platform

Machine

Learning

Blockchain

Data

Intelligence

Big Data

Internet of

Things

Analytics

Leonardo

System of Innovation

Industry

Leadership

Cloud &

Technology

Alliances

Data

Integration

Excellence

Finance

Advisory

Digital Supply

Networks

Cognitive

Fabric

Change

Management

Digital Business

Transformation


Thank you!

tech trends 2018 - deloitte us...circle $136 m blockstream $76 m ripple $94 m dah $60 m with support...

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