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Heartificial intelligence - claudio-mirti

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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

Published in: Healthcare
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Heartificial intelligence - claudio-mirti

  1. 1. Heartificial Intelligence How to make products, goods, and services more intelligent CLAUDIO MIRTI Principal Solution Specialist – Data & AI (Microsoft)
  2. 2. Wouldn’t it be great if AI could…..
  3. 3. ….Yes it would – can you make it work?
  4. 4. People love talking about new technologies. But, unless you get on and do it, you’re just talking.
  5. 5. Transform data into actionable ideas!
  6. 6. Observing, engaging and empathizing with the people Amplifying human ingenuity with intelligent technology Design Thinking AI
  7. 7. Heartificial Intelligence A human centered approach
  8. 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
  9. 9. 10 https://dschool.stanford.edu/ https://medium.com/@sts_news/design-thinking-is-kind-of-like-syphilis-its-contagious-and-rots-your-brains-842ed078af29
  10. 10. HELP!!!!
  11. 11. HELP!!!!
  12. 12. How and where to start?
  13. 13. 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
  14. 14. INSPIRATION If we are to empathize with users, we should always try to adopt the mindset of a beginner
  15. 15. 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
  16. 16. 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
  17. 17. 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?
  18. 18. IDEATION – ENVISIONING AI Reasoning, Understanding, Interacting
  19. 19. 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.
  20. 20. 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.
  21. 21. 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.
  22. 22. AI real
  23. 23. Explore patterns for AI solutions
  24. 24. https://blogs.technet.microsoft.com/machinelearning/2016/09/02/microsoft-and-liebherr-collaborating-on-new-generation-of-smart-refrigerators
  25. 25. 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/
  26. 26. 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
  27. 27. 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
  28. 28. 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
  29. 29. "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/
  30. 30. IDEATION – Digital Transformation with AI Transform productsOptimize operations Empower employeesEngage customers
  31. 31. IDEATION – Value each person #skills, #experience, #knowledge, #critical #dignity #privacy Company Startup Customer Education
  32. 32. IDEATION – Value each person (prototype session at New York University)
  33. 33. IMPLEMENTATION Create an experience
  34. 34. 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
  35. 35. 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/
  36. 36. https://azure.microsoft.com/en-us/services/cognitive-services/ IMPLEMENTATION – Microsoft Cognitive Services
  37. 37. 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
  38. 38. 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
  39. 39. 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
  40. 40. 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
  41. 41. Heartificial Intelligence A human centered approach

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