Respond, Recover, Thrive · transformation webinar series 10 June 2020 RPA and Intelligent Automation - Scaling Your Digital ... Cheap big data tools have made it computationally

Respond, Recover, ThriveChannel Islands Advisory digital

transformation webinar series10 June 2020

RPA and Intelligent

Automation -Scaling Your

Digital Workforce

© 2020 Deloitte LLP. All rights reserved.

Contents

01

03

02

Introduction

• Introducing your team today

• Recover and Thrive through digital transformation

Q&A

Main Presentation

• Overcoming barriers to scaling

• Cognitive and AI solutions

• Putting scaling into practice

1© 2020 Deloitte LLP. All rights reserved.

Introduction


Our digitally themed webinars focus on Recovery as a journey highlighting how having a clear digital strategy in place is more important than ever

1 – Understand the Required

Mindset Shift

3 – Embed Trust as the

Catalyst to Recovery

2 – Identify and Navigate

the Uncertainties and

Implications

4 – Define the Destination, and

Launch Recover Playbook

OUR WEBINARS SUPPORT FIVE IMPERATIVES WITHIN “RECOVER” TO GUIDE THE BUSINESS FROM “RESPOND” TO “THRIVE”

R E C O V E R

R E S P O N D

T H R I V E

Future of Work

Understanding RPA, Cognitive &

Intelligent Documentation RPA – scaling and digital roadmap

CBS – Building digital workflows

5 – Learn From Others’ Successes

Cyber Response

Intelligence Services

Customer Support

Future of Work

True Voice

R E S I L I E N T L E A D E R S H I P : B U S I N E S S R E C O V E R Y F R O M C O V I D - 1 9


Shaping the Future through Digital Business






Overcoming barriers to

scaling


32%

17%

17%

Barriers to scaling

L a t e s t s u r v e y s


S e t t i n g v i s i o n a n d a mb i t i o n

Barriers to scaling


P r o c e s s f r a g me n t a t i o n

Barriers to scaling

To overcome fragmentation, and to sustain and enhance the business case for automation, organisations can take a number of steps.

No. of opportunities

Va

lue

po

ten

tia

l

Task Based AutomationsE2E

OpportunitiesLow value opportunities

Hig

h v

alu

e o

pport

unitie

s

Use Case Targeted

Automations

Task-based automation

Use case targeted automations

E2E Next Generation Processes

Experiment with cognitive

Be process and value-led

Follow the happy path

Take a portfolio approach


Core

Infrastructure

• Cloud Vs On premise

• Distributed architecture

• High Availability/Disaster Recovery

• Backups

• Load balancing

• Clustering

• File storage

• Firewalls

Control Room

Architecture

• Control Room strategy

• Role based access

• Version control

• Environments – DEV/UAT/Prod

• Credentials management

• Password management integration

Operating

Environment

Strategy

• Centralised Vs Federated

• Physical Vs Virtual Machines

• Attended Vs Unattended

• 2FA e.g. smart cards

• Application environment strategy

• Business Continuity

Workstation

Provisioning

• Provisioning workstations across

environments e.g. DEV/UAT/Prod

• Packaged desktop build for Robotics e.g.

Group policy exceptions

• Plug-ins and connectors (Java, drivers)

• Software patching cycle

Cyber Security &

Access Policies

• Robot accounts (user Vs service)

• Segregation of Duties, least privilege

principle

• Data policy and procedures e.g. storage,

archiving, retention complies with industry

standards e.g. (PHI)

• SSO for application access

• Data quality & integrity e.g. anonymized Vs

Prod

• Auditing e.g. operational, administrative and

transactional Robot logs

Development &

Deployment

Process

• Reusable components

• Wiki – knowledge base

• Best practices e.g. coding standards, code

reviews

• Testing strategy

• RDLC artefacts

• Change Management

Procurement &

Licensing

• Procurement of licenses

• Direct or through re-seller

• License models e.g. concurrency, minimum

purchase, duration, etc.

• Developer license allocation shared Vs

individual

• Runtime license optimisation – dependency

on operating model

I T r e a d i n e s s

Barriers to scaling

Either ensure the relevant IT

infrastructure elements are in place – or

consider utilising an automation

managed services platform.


Cognitive and AI solutions


R PA , c o g n i t i v e a u t o ma t i o n a n d A I

Continuum of automation

There is a range of technologies available to drive efficiency and effectiveness, but the market is still emerging.


A n o v e r v i e w o f c o g n i t i v e

Cognitive technologies

Computer vision

Speech recognition

Learning a process through observation and feedback

Builds knowledge from structured and

unstructured sources

Natural language processing

Interacts with systems/users in real time

Understands contextual elements such as

domain, time, space

Why Now? – Key Enablers

Big Data TechnologyMachine LearningNatural Language

ProcessingData Generation

Availability of open source algorithms that leverage data to model a system or process.

Techniques enable a system to derive understanding from unstructured data (voice, text).

Data is now being recorded at incredible pace, allowing for models to be trained with larger volumes.

Cheap big data tools have made it computationally feasible to apply machine learning to large datasets.

Artificial Intelligence: Solving human kinds of problems

Machine Learning: Statistical approaches to

machines learning to create rules by looking at data

Deep Learning: A certain class of

machine learning approach which

works well on speech and image type

challenges and requires large volumes

of data


Putting scaling into

practice


Pu t t i n g t h e p i e c e s t o g e t h e r

Barriers to scaling


S c a l i n g i n p r a c t i c e

Scaling labs

Pre-LabBarriers to scaling and priority focus

areas are identified via interviews with

selected stakeholders and an online

questionnaire which is completed by

all attendees.

Post LabSummary output deck capturing your

defined R&IA vision and ambition, a

write-up of exercise outcomes and your

Scaling Roadmap.

LabIndustry insight, thought leadership and

interactive exercises designed to help

you understand key barriers to scaling;

the specific foundational capabilities

required to scale; and define actions for

R&IA scaling.

1 | Copyright © 2018 Deloitte Development LLP. All rights reserved. R&IA Scaling Lab

Barr iers to Scaling Quest ionnaireBased on your answers …

1. Mindset: We are fully aware of what automation

means, it’s potential and how we will harness it at

scale. We are comfortable exploring and taking risks

even in a world of uncertain outcomes

2. Goals: We have a clear and agreed set of

organisation-wide goals for automation that we all

buy into

3. Value: We have consensus on how and where

value will be captured from automation and how we

will prioritise our investments

4. Ownership & Collaboration: We know exactly

who is responsible for what and how we should

collaborate together to achieve results

5. Readiness: Our people, teams and capabilities

(process, technology and data) are ready to support

automation at scale and at pace

6. Momentum : There is a significant amount of

momentum behind automation, we are making

rapid progress and we are only getting faster

Question

•

NeutralStrongly

Disagree

Strongly

Agree Key Insights

Key: Average Range

Scaling labs can be used to provide the time, space,

tools and insight to help you set your vision and

ambition for Automation and define how you will

make this a reality.

What are the outcomes for you?

To help you overcome your barriers to scaling by articulating your vision

for R&IA, your approach to capturing value, exploring the foundational

capabilities required to scale, and defining a clear roadmap to achieve

scale.

Who should attend the lab?

For your Lab to be successful, it should be attended by senior executives

from across your business units, existing automation experts, and

representatives from IT

What is the R&IA Scaling Lab?

The Scaling Lab is an immersive, full day collaborative and interactive

session that explores the ‘art of the possible’, engages with key capabilities

required to scale, and ignites momentum behind automation


For further information please contact

David Adams

Associate Director, Risk Advisory

DeloitteEmail: [email protected]

Tel: +44 161 455 6813

Simeon Moss

Director, Advisory


Tel: +44 20 7007 6317

Steve BarreyDirector, Risk Advisory


Tel: +44 20 7007 7971


This publication has been written in general terms and we recommend that you obtain professional advice before acting or refraining from action on any of the contents of this publication. Deloitte LLP accepts no liability for any loss occasioned to any person acting or refraining from action as a result of any material in this publication.

Deloitte LLP is a limited liability partnership registered in England and Wales with registered number OC303675 and its registered office at 1 New Street Square, London, EC4A 3HQ, United Kingdom.

Deloitte LLP is the United Kingdom affiliate of Deloitte NSE LLP, a member firm of Deloitte Touche Tohmatsu Limited, a UK private company limited by guarantee (“DTTL”). DTTL and each of its member firms are legally separate and independent entities. DTTL and Deloitte NSE LLP do not provide services to clients. Please see www.deloitte.com/about to learn more about our global network of member firms.

© 2020 Deloitte LLP. All rights reserved.

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Respond, Recover, Thrive · transformation webinar series 10 June 2020 RPA and Intelligent Automation - Scaling Your Digital ... Cheap big data tools have made it computationally