Fuji Foo

Vice President

Business Digitalisation

APPLIED INTELLIGENCE

Driving Artificial Intelligence (AI) with

Concept of Operations

Artificial Intelligence

SENSE

Perceive the world by

acquiring and processing

images, sounds and

speech.

COMPREHEND

Analyze and understand

the information collected

by adding meaning and

insights.

ACT

Take action in the

physical world based on

comprehension and

understanding.

LEARN

Improve performance

(quality, consistency,

and accuracy) based

on real world

experiences.

Why AI Now?

Massive Data

Connected things to increase

from 14.2 Billion in 2019 to

25 Billion by 2021

Source: Gartner, 2018

175 Zettabytes of data generated by 2025

Source: IDC, 2018

175 Zettabytes = 175 Trillion Gigabytes

= 175,000,000,000,000 Gigabytes

384,400 km

Why AI Now?

Massive DataAdvanced Compute

& Communications

2300x Improvement in

system performance

Source: TOP500, 2018

5G is 20x faster than 4G

and capable of latency rates

of under a millisecond

Source: IDG, 2019

Why AI Now?

Massive Data Powerful

Algorithm

Advanced Compute

& Communications

$9.3 Billion venture

capital funding into AI start-

ups, 72% growth from

Source: PwC, CB Insights, 2019

Acquisitions of AI Start-ups

Source: CBInsights, 2018

AI Adoption & Potential Benefits

1,605 APAC business leaders’ view on potential AI benefits in 3 years

Rate of Innovation1.9x

Employee Productivity Gain1.9x

Competitiveness2x

Source: Microsoft, IDC 2018

AI Adoption

10%

Have adopted AI as a core part of business strategy

31%

Have started to experiment with AI as part of business strategy

37%

Waiting for AI to mature before incorporating into overall strategy

22%

Have not started to consider AI as part of the overall strategy

Source: Microsoft, IDC 2018

Challenges in AI Adoption

MODEL TRAINING

AI MODEL TO PROBLEM STATEMENT

Data Science Sandbox Controlled environment with training

data for experiementation

DATA SET DEPENDENCY

HETEROGENTIY & SCALE

COMPLIANCE & REGULATIONS

OperationsDynamic environment with direct and indirect outcome variables

COLLABORATION & PROCESS

Concept of

Operations

Applied

Intelligence

Certis Approach

Artificial

Intelligence

BPRO®: Business Process Re-engineering and Operations

Designing Bespoke Solutions that Deliver Benefits Beyond Security

METHODProcess Design & Innovation

MANTalent & Training Expertise

MACHINEApplied Technology

DESIGN THINKING

BUSINESS PROCESS RE-ENGINEERING + OPERATIONS

Process

Mapping

Design

BPRO®

Customer

Partnering

Employee

Engagement

24/7

Monitoring

Certis Service

Delivery System

(CSDS)

Customer

Service

Mindset

Operationalising Technology to

Delivering Desired Outcomes

Error Reduction

by Design

Continuous Cost

Containment

Excellent Efficiency

& Productivity

Outstanding Customer

Experience

Certis Security+

Operations – Technology Integration

Street

Lighting

Safety and

SecurityEnvironmentWaste

PParkingWater Traffic

DEVICES

People Street

Furniture

BUILDINGS

CommercialResidential Industrial

VEHICLES

Vehicles

STAFFSECURED DIGITAL MESH NETWORK

CONNECTEDDIGITAL PLATFORM

Natural

Language

Processing

Data Lake

AnalyticsStream

Analytics

Machine

Learning

Virtual

Assistant

Cognitive

Services

Device Management

Applied Intelligence

Integrated Operations CentreFault Mgmt Centre Facilities Mgmt SecurityConcierge

SECURITY+

Certis Living LabHarnessing Technology and Building New Capabilities

User-centred, open innovation ecosystem based on

systematic user co-creation approach, integrating

research and innovation processes in actual

operational environment.

• Optimise operations through multi-disciplinary

integration and orchestration of Man, Machine

and Method

• Enhance customer experience with

technology and through insights

• Maximize the building performance & efficiency

through convergence of building, information

technology and operations

Digital Twin

PhysicalFRONT OF HOUSE

OPERATIONS

Command Centre

Concierge

DigitalDevices, Controllers & Edge Processor

1

2 Connectivity

3 Data Ingestion

4 Data Accumulation

5 Data Abstraction

6 Application

7 Collaboration & Processes

Energy

AlarmToilet Sensors

Building

EQUIPMENT & ASSETS

Safety &Security

PCarpark Mgmt

Access Control

BACK OFFICE OPERATIONS

Traffic MgmtFacility Mgmt

Security

Digital Twin

Cyber Security Framework

PHYSICAL802.1X, Remediation, Port Level Security, Multi-layer

END DEVICEIPS, Firewalls, System Hardening

NETWORKPatch Mgmt, Endpoint Projection, AES Encryption,

Malware Protection, Logging

PROCESSAccess Control, Time Synchronization, 2FA, SIEM

Ops-Tech Driven Approach

▪ Complement operations and manpower to drive higher productivity, reliability, availability and increased performance

▪ Reduce operating costs and errors

DECISION SUPPORT

▪ More informed decision making

▪ Timely problem solving

▪ Improved efficiency for dealing with rapidly changing variables

GENERATE VALUE

▪ Beyond operational efficiencies

▪ Create new customer and service experience

▪ Enhance existing business model or generate new business models to drive revenue streams

AUTOMATION

DepartureMeet / WorkArrivalPre-arrival Web /App

Resource Booking & Invite by web

Carpark Lot

Reservation

Carpark Mgmt

Guest

Registration

Access Control

System

Integrated

Ops Centre

License Plate

Recognition

Identity Mgmt

System

Indoor

Wayfinding

SENSE

RESPONSE

ANALYSE

Ops-Tech Driven Approach

Transforming Guest Experience with AI

Resource

Mgmt

System

Guest Pre-

Registration

CONCEPT OF OPERATIONS

Experienced Operators Smart Technology

Method of Integrating Technology & Operations

INTELLIGENT BUSINESS OPERATIONS

Concept of Operations (CONOPS)

Design Thinking for Optimised and Reliable Customer Outcomes

First AI enabled Transport Hub