respond, recover, thrive · transformation webinar series 10 june 2020 rpa and intelligent...
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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
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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
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Shaping the Future through Digital Business
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Shaping the Future through Digital Business
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Shaping the Future through Digital Business
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Overcoming barriers to
scaling
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32%
17%
17%
Barriers to scaling
L a t e s t s u r v e y s
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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
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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
10© 2020 Deloitte LLP. All rights reserved.
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.
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Cognitive and AI solutions
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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.
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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
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Putting scaling into
practice
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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
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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
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For further information please contact
David Adams
Associate Director, Risk Advisory
DeloitteEmail: [email protected]
Tel: +44 161 455 6813
Simeon Moss
Director, Advisory
DeloitteEmail: [email protected]
Tel: +44 20 7007 6317
Steve BarreyDirector, Risk Advisory
DeloitteEmail: [email protected]
Tel: +44 20 7007 7971
18© 2020 Deloitte LLP. All rights reserved.
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© 2020 Deloitte LLP. All rights reserved.