The Cognitive Computing and the LENS/IBM Cliconlab Experience

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1 The Cognitive Computing and the LENS/IBM Cliconlab Executive Architect - IBM Italy CTO for Big Data Analytics & Watson IBM Academy of Technology Leadership Team 2016 IBM Corporation

2 Main IT challenge is now about the possibility to expand our Wisdom options Watson Cognitive Computing scales expertise to expand what s possible IBM Corporation

3 Emerging Patterns for Artificial Intelligence adoption in Business World Text Mining is a class of functions for parsing and identifying significant words in language (NLP) as well as understand the semantic of a textual content Multi-Media Mining is a a class of function for analyzing visual content such as images or videos Speech Mining is a class of functions for analyzing audio signals including speech to such as ability XXX Mining is class of large specialized functions for analyzing digital representation in a specific domain à e.g., Bioinformatics, Financial Analytics, etc. Capitalize on Digital Data Analytic Systems use statistical techniques for detecting patterns or detect trends within data, yield an understanding of historical or current state from which to draw conclusions Machine Learning is a class of statistical techniques that use training data to recognize the correlation between a set of feature patterns and outcomes. Cognitive Systems leverage machine learning to predict meaning in features of human language (spoken, written, visual) and related forms of human reasoning Cognitive Solutions leverage a combination of cognitive system reasoning strategies and other analytic and classical computing techniques to solve for a complex problem -> Amplify Human WISDOM in a specific domain 3

4 Which are cognitive systems main attributes? 1.education 2.expression 3.expertise 4.evolve Cognitive systems are able to learn their behavior through education;; That support forms of expression that are more natural for human interaction;; Whose primary value is their expertise;; and That continue to evolve their reasoning approach as they experience new information, new scenarios, and new responses 4

5 Applying or having wisdom in real world is not only an AI game IBM=2.5 Kasparov=2.5 IBM Watson Jeopardy! DeepBlue uses a h ard- coded o bjective function written b y a human coupled with High Performance Computing AlphaGO=4 Lee Se- Dol= AlphaGO uses self- trained net to e valuate positions a nd moves on 3 0M h istorical games COMPUTING & MATH 2011 SEMANTICS 2015 WISDOM

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7 Oncology Advisor 7

8 The Medical The Medical Sieve Sieve Build a fast anomaly detection engine Quickly filters irrelevant images Highlights disease- depicting regions Flags coincidental diagnosis Intended as a radiology assistant Clinicians still do the diagnosis Machine reduces workload Machine performs triage/decision support Given history of the patient and images of a study Is there an anomalous image here? If so, where is the anomaly? Describe the anomaly 8

9 Ecosystems to quick industrialize and scale cognitive systems are emerging Cognitive Systems Cognitive Advisors & apps Open Innovation vertical Initiatives & Labs Vertical Cognitive Business Units Watson for Financial Services Watson Internet of Things Watson Health AI Platforms are hosting all layers needed to design, develop, build and SCALE cognitive systems or apps Watson Core Cognive Services - API Cloud 9

10 Cognitive Services are a set of building blocks that can be mixed to build cognitive applications. They run on a Platform. Personality Insights Language Translation Visual Recognition Speech to Text Text to speech IBM Cognitive Services - Platform 2016 IBM Corporation

11 These APIs are underpinned by 50 technologies: Anaphoric Co-referencing Colloquialism Processing Content Management -- Versioning Convolutional Neural Networks Curation Deep Learning Dialog Framing Ellipses Embedded Table Processing Ensembles and Fusion Entity Resolution Factoid Answering Feature Engineering Feature Normalization Focus and Spurious Phrase Resolution HTML Page Analysis Image Management Information Retrieval Knowledge (Property) Graphs Knowledge Answering Knowledge Extraction Annotators Knowledge Validation and Extrapolation Language Modeling Latent Semantic Analysis Learn To Rank Linguistic Analysis Logical Reasoning Analysis Logistical Regression Machine Learning Multi-Dimensional Clustering Multilingual training n-gram Analysis (word combinations and distance) Ontology Analysis Pareto Analysis Passage Answering PDF Conversion Phoneme Aggregation Question Analysis Question-answering Reasoning Strategies Recursive Neural Networks Rules Processing Scalable Search Similarity Analytics Statistical Language Parsing Support Vector Machines Syllable Analysis Table Answering Visual Analysis Visual Rendering Voice Synthesis 11

12 Ecosystems to quick industrialize and scale cognitive systems are emerging Pathway Genomics OME app Cognitive Systems Cognitive Advisors & apps Open Innovation vertical Initiatives & Labs Vertical Cognitive Business Units Watson for Financial Services Watson Internet of Things Watson Health AI Platforms are hosting all layers needed to design, develop, build and SCALE cognitive systems or apps Watson Core Cognive Services - API Cloud 12

13 Pathway Genomics OME App Powered by Watson Merging cognitive computing and deep learning with precision medicine and genetics How it works Pathway Genomics mails the user a saliva DNA collection kit Pathway will work with clinicians and scientists to conduct the Pathway Fit test. It specifically looks at 75 genes that focus on phenotypes like diet, exercise, lipids, and sugar metabolism Watson cognitive computing technology, intelligent machine learning, and a corpus of health and wellness information With Watson APIs, the Pathway app leverages Watson s natural language processing technology and content in the form of health and wellness information Highly personalized insights to empower people to change unhealthy behaviors, allowing them to live healthier lives, e.g. genetically optimal diet plans or restaurant and menu recommendations Data Sources Watson corpus of health and wellness information Other User Data Incorporated Data: Pathway s FIT Test Users unique genetic traits Health Habits GPS Data Data from wearable health monitors Apple HealthKit Electronic health records Insurance information Additional datasets 1 3 Early Alpha Version 13

14 Ecosystems to quick industrialize and scale cognitive systems are emerging ClicOnLab Apps Cognitive Systems Cognitive Advisors & apps Open Innovation vertical Initiatives & Labs Vertical Cognitive Business Units Watson for Financial Services Watson Internet of Things Watson Health AI Platforms are hosting all layers needed to design, develop, build and SCALE cognitive systems or apps Watson Core Cognive Services - API Cloud 14

15 SMART TECH TRANSFER H2020 CALL FINDER TECH KNOWLEDGRE TRANSFER INTERNET OF THINGS FOR MEDICINE TIDY INTERVENTION REQUEST HEALTHCARE INTENSIVE CARE OPTIMIZATION IMAGE-OMICS (Blending biomedical imaging with heterogeneous biodata: fmri, CT, optics, histopathology, molecular, genomics.. to better understanding of a disease from multiple manifestation angles) Research line on HEALTH IMAGES VERY LARGE IMAGE ANALYSIS MUSEM PERSONAL ADVISOR JOURNEY IN FLORENCE VISUAL IMAGING 15

16 Open Challenges for Students Analysis of CAD images of tissue to recognize pathologies Scientific Literature Analysis 16

17 Pietro Leo Executive Architect - IBM Italy CTO for Big Data Analytics & Watson IBM Academy of Technology Leadership Team 2016 IBM Corporation

18 IBM Watson Health will provide patients, physicians, researchers, and insurers secure access to individualized insights and a more complete picture of the many factors that affect people's health Discovery Solutions Real World Evidence Population Health Management Condition Specific Care Health and Wellness Social Programs Accelerate research and improve treatments options Uncover health interventions to inform care approaches Identify care gaps and enable delivery of timely, coordinated care Apply best care protocols to manage chronic conditions Empower individuals to live healthier, more productive lives Ensure that care approaches address individuals' social context Insights as a service delivered by Watson Health platform Patient cohorts Disease progression Patient-trial Matching Adverse events Drug efficacy Comparative effectiveness Provider segmentation Population Analytics Risk Factors Site Selection Off-label use Pricing models Marketing effectiveness Sales deployment Data and Knowledge Ingested by Watson Health Platform Payments & Claims Lab & diag. Clinical Exogenous data Med device Genomic... Published texts Scientific journals Medical guidelines Terminology & taxonomy... 18

19 IBM Cognitive Services Pipeline 1. Watson APIs are continuously. 2. They are complemented with tens of other APIs in other domains, all running on ONE platform. 3. They can mashed up to build an infinite number of cognitive assistants IBM Corporation