It seems that AI is also becoming a buzzword, like design thinking. Everyone is talking about AI or wants to have AI, and sees all the ideas and benefits – that’s fine, but how do you get started? But what’s different now? Three innovations have finally put AI on the fast track: Big Data, with the internet and sensors everywhere; massive computing power, especially through the Cloud; and the development of breakthrough algorithms, so computers can be trained to accomplish more sophisticated tasks on their own with deep learning. If you use new technology, you need to explore and know what’s possible. With design thinking, it aids to outline the steps and define the ways in which you’re going to create the solution. Starting with mapping the customer journey, defining who will be using that service enhanced with intelligent technology, or who will benefit and gain value from it. We discuss how these two worlds are coming together, and how you get started to transform your venture with Artificial Intelligence using Design Thinking. Speaker: Claudio Mirti, Principal Solution Specialist – Data & AI, Microsoft

1. Heartificial Intelligence
How to make products, goods, and services more intelligent
CLAUDIO MIRTI
Principal Solution Specialist – Data & AI (Microsoft)

2. Wouldn’t it be great if AI could…..

3. ….Yes it would – can you make it work?

4. People love talking about new technologies.
But, unless you get on and do it, you’re just talking.

5. Transform data into actionable ideas!

6. Observing, engaging and
empathizing with the people
Amplifying human ingenuity
with intelligent technology
Design Thinking AI

7. Heartificial Intelligence
A human centered approach

8. Design Thinking
is a human
centered
approach to
innovation that
addresses the
needs of the
people through
the right use of
the technology
DT lives at the intersection of our analytical
minds and our imagination

10. 10
https://dschool.stanford.edu/
https://medium.com/@sts_news/design-thinking-is-kind-of-like-syphilis-its-contagious-and-rots-your-brains-842ed078af29

11. HELP!!!!

12. HELP!!!!

13. How and where to start?

14. INSPIRATION, IDEATION, IMPLEMENTATION
INSPIRATION
• Look at the world – observe what people think, need or
want
IDEATION • Experimentation with AI
IMPLEMENTATION • From project room to market

15. INSPIRATION
If we are to empathize with users, we should always try to adopt the
mindset of a beginner

16. EMPATHIZE
OBSERVE / ASK: WHAT? HOW? WHY?
In “What”, we record the details (not assumptions) of what has happened.
In “How”, we analyze how the person is doing what he/she is doing (is he/she
exerting a lot of effort.
Finally, in “Why”, we make educated guesses regarding the person’s
motivations and emotions. These motivations we can then test with users

18. Patient experience journey map
DIGITAL
HOT
SPOTS
Prior to Visit
Seeking healthcare information, remote triage
Choosing a physician or caregiving facility
for treatment
Appointment scheduling and reminders
Diagnosis and Treatment
Remote interactions with providers
Accessing and sharing electronic health records (EHR)
AI-based provider support
Care team collaboration
Follow-up Care
Filling, refilling, and approving prescriptions
Remote health monitoring
Ongoing patient care and plan reminders
018

19. IDEATION – EXAMPLE: Clinical Trial Journey
Participants were given 10 minutes at each
stage of the clinical trial journey to
individually brainstorm
challenges/opportunities and write down
one thought and any related assumptions
per sticky note, as quickly as possible.
How do I tell my doctor?
Can the patient have the data?

20. IDEATION – ENVISIONING AI
Reasoning, Understanding, Interacting

21. Financial Companies Use Artificial Intelligence To Monitor For Fraud
Financial companies often use artificial intelligence to monitor
transaction requests since algorithms process information so quickly.
They spot patterns in your transactions and alert users to suspicious
activity.

22. Artificial Intelligence Powers Your Virtual Assistants
How often do you ask Siri or Cortana a question? Do you order an Uber
through Alexa or plan appointments using the Google Assistant? Each
time, you're interacting with artificial intelligence.

23. Leveraging Data & AI in Life Science
AI capabilities from research through commercialization and help
accelerate the discovery and development of transformative
medicines for patients worldwide.

24. AI real

25. Explore patterns for AI solutions

26. https://blogs.technet.microsoft.com/machinelearning/2016/09/02/microsoft-and-liebherr-collaborating-on-new-generation-of-smart-refrigerators

28. Microsoft Health Bot Service
Empowers healthcare organizations
to build intelligent and compliant
virtual health assistants and chatbots,
that improve their processes, services
and outcomes, and reduce their costs
https://www.microsoft.com/en-us/research/project/health-bot/

29. IDEATION – Including Data Science
Question 1: Is this A or B?
Question 2: Is this weird?
Question 3: How much? or How many?
Question 4: How is this organized?
Question 5: What should I do now?
https://docs.microsoft.com/en-us/azure/machine-learning/studio/data-science-for-beginners-the-5-questions-data-science-answers

31. Preclinical drug discovery and in vivo research
Crunch data & provide prescriptive analyticsGather data Optimized pre-clinical
Planning and
Overview
Improved
productivity
(scientist,
veterinary
Reduced
contamination &
costs
Track animal
Feed & Medication
Production
Data
Real-time
management End-to-end
Data
Management
Cages &
Sensors
Labs Remote
Monitoring
Researchers
Health
Records

32. And what do games have to do with medicine?
We use the same machine learning algorithms for the interpretation of very different kinds of images
Magnetic resonance Kinect depth sensing

33. "The "Inner Eye" project could make the process 40
times quicker and suggest treatments that could
prove the most effective.“
Dr. R. Jena, Radiation Oncologist
University of Cambridge Hospitals
Assistive AI
to empower the
radiation oncologist
Optimize clinical
effectiveness
by reducing
segmentation time
and cost
InnerEye
builds
upon many years
of research in
computer vision
Artificial
Intelligence
for cancer treatment
Microsoft Research
Project InnerEye
https://www.microsoft.com/en-us/research/project/medical-image-analysis/

34. IDEATION – Digital Transformation with AI
Transform productsOptimize operations
Empower employeesEngage customers

35. IDEATION – Value each person
#skills, #experience,
#knowledge, #critical
#dignity #privacy
Company
Startup
Customer
Education

36. IDEATION – Value each person
(prototype session at New York University)

38. IMPLEMENTATION
Create an experience

39. Quickly extract valuable data to automate
tasks and enable new scenarios through
knowledge mining
Create compelling interfaces that interact
with users in natural ways using
conversational AI
Enable apps to see, hear, speak,
understand, and interpret user needs
with pre-built APIs
Build apps that sense, process, and act on
information leveraging machine learning
Accelerate app development at scale
on a comprehensive AI platform
IMPLEMENTATION – Quickly and easily develop intelligent
applications

40. Power
Platform Design & Create
(Low Code)
Pro Developer
(Code First)
Develop faster than ever before with the Microsoft Platform
Power BI Power Apps /
AI Builder
Power Automate Power Virtual Agents
https://powerapps.microsoft.com/en-us/

42. https://azure.microsoft.com/en-us/services/cognitive-services/
IMPLEMENTATION – Microsoft Cognitive Services

43. IMPLEMENTATION – From a pilot / POC until production
Will proving the scope
earlier derisk the overall
project
Is there uncertainty
about the recommended
technology/architecture?
Is the
technology/architecture
unfamiliar to the
customer?
START
no
no
no
Build neither POC or Pilot,
deliver as part of solution
Does it need to
release into
production?
Build a
Pilot/MVP
Build Proof of
Concept
yes
yes
yes
yes no

45. https://hbr.org/amp/2020/04/a-radical-solution-to-scale-ai-
technology?utm_source=Cognitive+RoundUp&utm_campaign=fd68c3b8f0-
EMAIL_CAMPAIGN_2020_05_02_09_55&utm_medium=email&utm_term=0_8baf59472a-
fd68c3b8f0-98929595

46. AI must maximize efficiencies without
destroying the dignity of people
AI needs algorithmic accountability so
humans can undo unintended harm
AI must be designed for intelligent privacy
AI must guard against bias
AI must be transparent
AI must be designed to assist humanity

47. Recommended books about Design Thinking
http://amzn.to/2Dv1FdJhttps://amzn.to/2sTNLxj
A Guide to Mastering the Most Popular
and Valuable Innovation Methods
Mindful Digital Transformation of Teams,
Products, Services, Businesses and Ecosystems

49. Heartificial Intelligence
A human centered approach