AI is a huge set of tools for making computers behave intelligently - Andrew Ng 70% of implementations fail to meet their stated aims. Following the holistic triple transformation approach taken by ‘lighthouses’ seems like a sensible approach to take.  Industry 4.0: Reimagining manufacturing operations after COVID-19 McKinsey Get started with AI: - Start small with pilot projects to gain momentum - Strong business case - Build a team around this - Provide broad training - Longer-term develop an AI strategy that aligns with your business objectives

1. Digitalisation from the back
office to the factory floor
18 Nov 2021
Ruth Kearney and Steph Locke
Nightingale HQ
www.nightingalehq.ai

2. The NHQ team
Ruth Kearney CMO
15+ years Marketing &
Commercial roles focused
on B2B and B2C
Roll out of Fast.ai via
University of San Francisco
and Intel AI Accelerators​
in Ireland
£1m funding from Ire gov and
European Institute of Innovation &
Technology (EIT)
EU Focus Group AI, Industry
boards.
Steph
Locke CEO/CTO
10+years helping
businesses to get
more out of their
data and adopt AI
Technology
trainer and advisor
EU Focus Group AI, industry
steering groups and boards
Author of 2 books on R
Clients include Cambridge
Uni, Microsoft, npower

3. AI
AI is a huge set of tools for
making computers behave
intelligently - Andrew Ng

4. AI
70% of implementations fail to meet
their stated aims. Following
the holistic triple transformation
approach taken by ‘lighthouses’ seems
like a sensible approach to take’.
Industry 4.0: Reimagining manufacturing operations after COVID-19 McKinsey

5. Getting started
• Start small with pilot projects to gain momentum
• Strong business case
• Build a team around this
• Provide broad training
• Longer-term develop an AI strategy that aligns with your
business objectives

6. AI-powered tools adds value across
functions
Manufacturers and Supply Chain
Procurement
Stock
forecasting
Supply chain
analytics
Demand
prediction
Production
Predictive
Maintenance
Process control
& optimisation
HR
Recruiting
automation
Finance
Automated
accounting
Asset allocation
Reporting and
forecasting
Quality Control Generative design
Multi-function Robotic Process Automation Remote work

7. Improving operations fast
An industry
pressured to
digitalise due to
COVID19
Cost IT Backlog
New
project
requests
Frustrated
end-users
An
industry
Inefficient
processes cost
manufacturers up
to 20-30% of their
annual revenue
every year
IT depts are
stretched with
existing priorities
New project
requests are
often delayed
and get stuck in
queues
End-
users unable to
implement
solutions to
their problems

8. Materials manufacturer: Digitalising
work instructions
Need
• Inefficiencies from
manual document
Revision
Automation
process
Solution
• Automation and
digitalisation
using no-code
tools
Result
• Freed up staff
time
• Prone to less
errors

9. Core infrastructure
Document
Management
Systems
Folder / file
systems
Online
Document
cracking
AI driven processes
for tabular
extraction, OCR, etc
Human coded
extractions
Metastore
Raw document and
tagging store, likely
Cosmos DB
AI driven processes
for enhancements
like relationship
tagging
Uses
Intelligent Search
Document version
comparison
Change
recommendations
Source
documents
Microsoft Form
recogniser
• Recognizing and
extracting tables
on chemical
material
composition​
• Mapping the
links between
different
standards and
specifications​
• Minimum viable
product (MvP)​

10. Electronics manufacturer
Need • Inefficiencies from
repetitive manual tasks
Solution
• Automation and
digitalisation using no-
code tools
✓Tools - Time mgt,
supplier mgt for quote
& order automation.
Result
• Freed up staff time
• Faster supplier on-
boarding

11. Customer: Freight Logistics Solutions
Need
• Unable to grow without
massive headcount
increases due to
inefficiencies
Solution
• Real-time data
consolidation
• No-code processes
✓Delivery tracking, data
reporting
✓Sales booking
automation.
Result
• >50% staff time unlocked
• > Significant cost savings

12. Effective change – within 2 weeks
Demand
Goal
Identify
appropriate
route
Internal skills
Compliance
Technology Prototype
Iterate
Scale

13. Process automation – booking confirmations
What it was: Manual, time
consuming process
1. Connect to 3rd party system
to check booking updates on
APIs
2. Input standard data into
email template and send to
customers (ref, codes, costs,
times, dates etc)
What it is now : Automated
booking confirmation system
1. Connect 3rd party APIs to FLS
systems
2. Manage history and data
overtime
3. Inform customers when order
is confirmed
• Real-time (2 minute)
• Useful data for client services
• Faster and less errors

14. Leverage what you have
If you’re paying for Microsoft
365 you have lots of tools you
can be taking more advantage
of:
• Teams for collaboration and
project management
• Sharepoint and OneDrive
• Microsoft bookings, Kaizala,
Power automate desktop

15. EI Digitalisation Vouchers
We are working with manufacturers
to who want practical hands-on help
with their digital transformation.
• Current operational processes and
systems
• Identifying gaps and improvement
opportunities
• Actionable recommendations incl
what technologies to use, what
areas to invest in, and how to grow
internal skills.
bit.ly/DigitalisationVoucherNHQ

16. GoSmarter is a secure platform for non-tech workers to access no-code, AI-
powered tools to improve processes around them fast.
Tools in the hands of
people with direct
knowledge of the problem
Manage and update without a
single line of code
Integrates with existing ERP &
MES systems
IT resources can be allocated
to critical work
Allows Ops teams to be in control
of Ops tools
Simple way for to scale
digital transformation
Opens up an untapped pool of
talent within the business.
Customisable & scalable with
manufacturing operations
Gosmarter

17. Top two industries spending on digital transformation (DX)
£163.5
bn
£91.8
bn
Discrete
manufacturing
investment in DX
Process
manufacturing
investment in DX
Any rules-based processes will become automated
regardless of companies’ existing technology
infrastructure!
Digital Transformation in Manufacturing

18. Digital Transformation in manufacuring
Top two industries spending on digital transformation (DX)
Discrete
manufacturing
investment in DX
Process
manufacturing
investment in DX
£163.5
billion
£91.8
billion
any rules-based processes will become automated
regardless of companies’ existing technology
infrastructure!

19. Further reading
Developer Velocity:
Lessons from digital
leaders whitepaper
Developer Velocity:
How software
excellence fuels
business performance
whitepaper
Nightingale HQ In a
Day training
Power of no-code tools
The state of AI in
Manufacturing
McKinsey
Microsoft AI
Fundamentals Training
Data Modelling
Manufacturing Data
Ops
AI Quick Win Projects
Getting Started
AI for Everyone
Andrew Ng Coursesera
Elements of AI
Training

20. ruth@nightingalehq.ai
steph@nightingalehq.ai
www.nightingalehq.ai