Presentation by Rob Hernandez (senior data scientist) in my team at 14th Annual Pharmaceutical IT Congress in London on September 28th 2016 . Brief overview about how our world and more specifically the pharmaceutical industry is being disrupted by technology. We share some emerging technology areas that we are focusing on, demonstrating value to our R&D, Operations and Commercial teams but also how we catalyse innovation across our IT organisation. Examples include exploratory work on AI chatbots, video facial sentiment detection, scientific search and sensor technology.

1. Catalyzing Innovation in Pharma IT
Keeping AstraZeneca Ahead of Disruptive Technology
Rob Hernandez
Data Analytics lead – Tech Incubation Labs, Office of the CTO 28 September 2016

2. The explosive pace of technological change means we all
need to be empowered to embrace new approaches

3. Big Data Is Reshaping Our World
Big Data & AI are changing our lives
 Mapping and Navigation
 Image Recognition
 Language Translation
 Self-repairing hardware
 Natural language processing
 Autonomous car
 Healthcare reasoning
 Home automation
 Personal Assistants
 Fraud Detection
 Security Surveillance
 Movie & Music Recommendation

4. 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

5. Technology giants are now coming after health
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

6. 6
Technology Giants Applying Big Data analytics to health

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

8. “Science led, IT driven”
- Dave Smoley CIO, AstraZeneca

9. 9
Chief Technology Office
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 and
business innovation strategy
Tech Incubation Labs
Scout
Driving Technology Leadership
Create new value by leveraging innovative technologies across AstraZeneca and AZIT.

10. Technology Incubation labs
10
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

11. Act as a technology catalyst
Tech Videos
Tech News
Tech Register
Tech Adoption
We enable communication about
technology, track internal tech and
innovation and act as expert
advisors on trends.

12. Recent focus areas – DATA is key
12
NLP & Emotion Detection Predictive Modelling
Genomics Analysis
Big Data Analytics
Cyber Security Threat DetectionArtificial Intelligence
IoT - Sensors
Blockchain

13. Big Data affects all aspects of pharma
 Machine Learning highlighted by
multiple AZ IT leaders as key to their
areas.
 Multiple areas in the business
looking for predictive modelling
solutions but need expertise.
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

14. Predictive modelling PoCs: 20+ use cases across AZ
Evaluated innovative Data Science
technology.
Partnered with business functions to
work through use cases.
End goal: Democratise Predictive
Modelling & ML at AZ.
Predict disease exacerbation from clinical data
Predict machine breakdown from sensor & log data
Predict clinician behaviour from Sales / interaction data
Predict drug response from RWE data

15. Predictive
Modelling
The PoCs served to highlight gaps
Capture Data
Need to capture the right data,
manage it and make it
accessible in the right way.
Working through the use cases helped us understand the steps we need to put in
place for successful projects.
Understand ML
Need to increase
awareness of machine
learning, what it can and
can’t do and how to frame
problems in the right way.
Wrangle Data
Every data challenge involves
transforming, wrangling and
cleaning up the data.
Partner with Business
Work closely with the right stakeholders.
Understand the decisions that will be
driven by the models and the potential
value of the predictions.

16. Big Unstructured Data – R&D Search applications
A single search platform supporting all of AZ
Scientific Partners
R&D News Alerts R&D ChemSearch
Mobile Apps
Find People at AZR&D Intelligence

17. Can we get it to work?Can we teach it information from the internet?Can we get it returning information about AZ?How about information from our Intranet?Can we apply it to a real use case?
“We believe Artificial Intelligence and Conversational UI will
disrupt the technical landscape in AstraZeneca”
The next search front ends could be chatbots
We started off by integrating our prototype
into our Teams Slack channel

18. AI Chatbots
Smart
Speaker
18
Automated Service desks Patient drug adherence Cognitive meeting rooms
“By 2020, 85% of customer interactions will be managed without a human”
(Gartner)
Smartphone
Virtual Assistant
Messenger
Chatbot
Conversational UI
Natural Language Processing
Text Analytics
Machine Learning
Google, Amazon and Apple changing from “Mobile First” to “AI First”

19. Today AZ has less than 20 digital
health initiatives in flight, relatively
uncoordinated.
Digital Health – The upcoming 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
CTO are creating a mobile service
foundation now. A common data
layer, for data streaming, storage
and advanced analytics Supporting
R&D and Commercial.

20. Developed video extraction  Text
AZ CHATBOT
PROACT
Developed a mobile app to
capture patient videos and diaries
to understand drug tolerability and
potential side effects in phase 1
clinical trials.
Developed facial expression  Sentiment

21. Internet of Things & The Physical Web
21
Industrial Sensors
Smart Buttons
Beacons
Shipment Tracking
All brought together on one cloud platform
Wearables
“By 2020, there will be 21 Billion connected devices”
- Gartner

22. And we are all finding our own direction
Astra
Zeneca
Genomics Initiative,
2M sequenced to
transform drug
discovery.

23. Start-ups
Contact
Acknowledgements
Nick Brown, Adrian Wong, Josh Mesout,
Hariprasad Radhakrishnan, Steve Woodward
and many other AZ colleagues
23
Email
rob.hernandez@astrazeneca.com
UK Tech Lab Director
nick.brown@astrazeneca.com
Scouting for disruptive 10X technologies
We can be your conduit into AstraZeneca
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