artificial intelligence, predictive modelling and chatbots: applications in pharma
TRANSCRIPT
Applications in Pharma
Artificial Intelligence, Predictive Modelling & ChatBots
Hariprasad Radhakrishnan & Josh MesoutTechnology Incubation Labs, AstraZeneca
AZ CHATBOT
AstraZeneca
We are a global, science-led
biopharmaceutical business
pushing the boundaries of science
to deliver life-changing medicines.
61,500employees worldwide
$24.7bn2015 Revenue*
100+Countries
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Technology Incubation Lab, CTO
Hari works as an Solution
Architect in the UK Tech
Incubation Lab. He loves to bring
new emerging technologies into
the hands of users
Josh is a Developer in the UK
Technology Incubation Lab. He
develops prototypes and proof-
of-concepts with business
customers
“By 2020, 85% of customer interactions will be managed without a human” (Gartner)
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AI is reshaping our world today…
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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
HR employee retention
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 a data driven company: We need data driven decisions
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What does this mean for AZ ?
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Predictive Modelling
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Developed video extraction Text
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PROACT
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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
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?
Conversational UI will disrupt the landscape in AstraZeneca
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This is a start for us
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Technical Architecture
Microsoft Bot
Framework
Custom Built Natural
Language Processing
Engine
Microsoft LUIS NLP
Framework
Amazon DynamoDB
AstraZeneca
Services
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Use Cases
Help Desk
Enterprise Q&A
Patient Engagement
Drug Information
Social Media Interaction
Expert Lookup
INTERNALEXTERNAL
Adverse Events
Reporting
Finance helpdesk
A Bot to help users dig out
useful contacts within
AstraZeneca with specific
skillsets.
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Expertise Lookup within AstraZeneca
Expert Lookup
Integration with Chatter
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Chatter Integration
Integrating the AI
into our Enterprise
Social Media
AI uses Natural Language
Processing (NLP) to
understand everyday speech
AI Bots automate
everyday tasks
Cuts down on
unnecessary
manpower
User submits
ticket: Can’t
login
Bot identifies
issue of locked
account
Bot resets
users
password
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Automating the Help Desk
Help Desk Bots
Undertake Basic Help desk tasks:
1. ChatBots for Service Now
2. Knowledgebase - FAQ
3. Password resets
4. Various form based applications
5. Ordering stuff
6. Handle repetitive tasks so human
resources can be put to better
use.
• ChatBot should understand the context of
the queries and provide information or
redirect to the right resources
• Support Multiple Languages
• ChatBot that understand medical and
scientific terminology
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Increasing Patient Engagement
Patient EngagementSocial Media
interactions & Campaigns
Patient advocacy groups
Patient Portals
Mobile Apps
Question and
answer systems
A Question and Answer
Bot is built using structured
FAQ based content that
would try answering user
questions about
AstraZeneca based on the
context of users questions.
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Q&A Systems – Pharma as a Bot
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REACH OUT TO US
QuestionsThank You &
[email protected]@[email protected]
AI Platforms Conversational UI Bot Aggregators ServiceNow Bots Biomedical UI