Marc Harrigan (senior business analyst) from my team presented at IoT World Dublin on November 21st 2016. He talks about our approach to understanding how IoT and sensors are changing our business, how it fits with our work in the Tech Labs for validating and prototyping emerging technologies. He also shares how it is an key enabler for future areas in machine learning and predictive analytics for pharmaceutical research, development and manufacturing.

1. Sensors for the Lab and for Manufacturing
Early Adventures in IOT
Marc Harrigan
Senior Business Analyst – Tech Incubation Labs November 2016

2. AstraZeneca
A global science-led biopharmaceutical company
Our business is providing innovative, effective medicines
that make a real difference to patients

3. Technology has already disrupted other industries
Mobile service that
enabled you to find
better ways to travel
On-demand, app-
based legal music
distribution through
streaming
Go-to-device, more
intimate, shocked the
PC industry
Displaced telecoms
companies through
free chat
Displaced retailers
and changed home
entertainment
Online rental service
to enable you to rent
and find vacation
homes

4. Healthcare will be no exception
Opened their own lab to
test own drug treatments
Major tech companies
sharing better analysis tools
Pivoted from photos to
printing stem cells !
Major tech companies
creating Joint Ventures

5. 5
Technology Innovation and Delivery Excellence
Competency Centres Enterprise Architecture
Uplift Govern
• Find, validate and prove the
value of 10x technologies
• Catalyse best technology
across AstraZeneca
• User Experience (UX)
• Mobility
• Develop internal expertise
with best practice, training,
guidelines, standards and
communities
• Simplify & Modernise our
technology environment
• Define future technology
roadmaps
• Digital transformation strategy
Tech Incubation Labs
Scout
Driving Technology Leadership
Create new value by leveraging innovative technologies across AstraZeneca and AZIT.
Science Led, IT Driven

6. Technology Incubation labs
6
Drive Technology
Leadership
• Accelerate innovation
culture
• Support learning between
functional silos
• Position IT as a strategic
partner
Bring Emerging
Technology In
• Reframe problems
• Leverage new
technology to improve
operations
• Exploit new business
opportunities
2 3
External
Perspective
• Tech Trends
• Best practice
• Pharma and other
industries
• Potentially disruptive
developments
trends start-ups
VCs presentations
news register
showcase tools
1
scout validate
proof of concepts

7. Recent focus areas – data key to all
7
NLP & Emotion Detection Predictive Modelling
Genomics Analysis
Big Data Analytics
Cyber Security Threat DetectionAI & Chatbots
IoT - Sensors
Blockchain

8. Big Data affects all aspects of pharma
 Machine Learning highlighted by
multiple AZ IT leaders as key to their
areas future ambitions
 Multiple areas in the business
looking for predictive modelling
solutions but need expertise and data
Volumes of Data
 Next Generation Sequencing
 Whole body imaging
 Tissue Microarrays
 Sales force optimisation
 Clinical trial statistical analytics
 High Throughput Screening
 Toxicogenomics
 Open Innovation Approaches
 PowerPoint/Excel content
 Structured databases
 Predictive Chemistry Modelling
 Unstructured data
 Real-time news sentiment
 experimental data capture
 Wearable sensor information
 Log analytics in Operations
Streaming of Data Variety of Data Complexity of Data
We’re data driven company: We need data driven decisions

9. Predictive Modelling
9
With larger, complex datasets, machine-learning techniques can accelerate and increase
accuracy of decision making, improving our productivity
We currently can’t collect enough Data – IoT can help

10. Internet of Things & The Physical Web
10
Industrial Sensors
Smart Buttons
Beacons & Asset Tracking
Shipment Tracking
How do we bring this all together from disparate systems?
Wearables
“By 2020, there will be 21 Billion connected devices”
- Gartner

11. Lab devices
11
Helping scientists capture metadata efficiently in labs R&D

12. Sensors are getting smaller, cheaper and will soon be in everything...
Quick validations of technologies for specific problems or needs

13. Equipment Monitoring (Helium)
13
Hands on evaluations for new solutions and partners
Replacing manual
monitoring for fridges
and Incubators
Testing in real world
conditions in local labs
User Experience as
important as technical
functionality

14. Connecting and automating devices
14
Maximising bench space to enable more science

15. AZ Cambridge
15
$500 million dollar
investment
~1600 AZ & MedImmune
R&D science jobs
on site
>12,000 Healthcare roles
working at CBC
Finding the right partners for our future R&D Headquarters

16. AstraZeneca Operations
16

17. Opportunities in our production network
Manufacturing and optimisation
Packing line / weight / camera technology
Massive opportunity for us optimise our production
*packing line picture*
*forklift scales*
17
Monitoring efficiency of our critical processes and equipment

18. Helping to Secure our Supply Chain AZ Operations
Sensors to provide geo-location in real-time, any time, any where

19. Today AZ has less than 20 digital
health initiatives in flight, relatively
uncoordinated.
Digital Health – The upcoming sensor data deluge
PROACT
Patient Reported Opinions
About Clinical Trials
Turbu+
Smart Inhaler, Mobile App,
Web Portal
Flight Deck
A centralised approach
for mobile app demand
management
Microservices
A mobile-centric
microservices strategy
focused on digital
health
We are creating a mobile service
foundation now.
A common data layer, for data
streaming, storage and advanced
analytics
Supporting our R&D and
Commercial areas for future IoT

20. Start-ups
Contact
20
Email
marc.harrigan@astrazeneca.com
UK Tech Lab Director
nick.brown@astrazeneca.com
Scouting for disruptive 10X technologies
We can be your conduit into AstraZeneca
Venture Capital Institutes Innovative Companies
A.I. Digital Health Creative Tech Big Data IoT DevOps