AI2V Apply Artificial Intelligence to get Value AI2V 101 By Alexandre Dietrich AlexD.ai What is AI ? AlexD.ai What is AI ? Google search: “Artificial Intelligence definition” Encyclopaedia Brittanica: Dictionary: Artificial intelligence (AI), the ability of a digital computer the theory and development of computer systems or computer-controlled robot to perform tasks commonly able to perform tasks that normally require human associated with intelligent beings. The term is frequently intelligence, such as visual perception, speech applied to the project of developing systems endowed with recognition, decision-making, and translation the intellectual processes characteristic of humans, such as between languages. the ability to reason, discover meaning, generalize, or learn from past experience. Stanford University – Computer Science Department: Q. What is artificial intelligence? A. It is the science and engineering of making intelligent machines, especially intelligent computer programs. It is related to the similar task of using computers to understand human intelligence, but AI does not have to confine itself to methods that are biologically observable. Mckinsey & Company: Artificial intelligence: A definition AI is typically defined as the ability of a machine to perform cognitive functions we associate with human minds, such as perceiving, reasoning, learning, and problem solving. Examples of technologies that enable AI to solve business problems are robotics and autonomous vehicles, computer vision, language, virtual agents, and machine learning. AlexD.ai AI2V Function AlexD.ai AI2V Function AI(S,S D)D à V AI - Artificial Intelligence S - Situation D - Data V - Value à - Enablers / Inhibitors AlexD.ai Why not use Humans ? AI(S,(S, D) à V AlexD.ai Why not use Humans ? (S,DD DD) à V AlexD.ai Why not use a Traditional Computer Program ? (S, D) à V AlexD.ai +D = OK + D = OK AI? + = OK D AlexD.ai AI(S,1 D)1 à V 1 AI(S,2 D)2 à V 2 AlexD.ai AI(S,1 D)1 à V 1 AI(S,2 D)2 à V 2 AI(S,3 D)3 à V 3 AlexD.ai AI(S,2 D)2 à V 2 AI(S,3 D)3 V 3 … à AI(S,N D)N à V N AlexD.ai Present Narrow AI(S, D) à V AlexD.ai Future ? General N N N AI(S,1 D)1 à V 1 AlexD.ai AI Capabilities AlexD.ai AI(S, D) à V AlexD.ai Artificial Intelligence Automated Reasoning Natural Language Knowledge Processing Representation Computer Machine Learning Vision Robotics Deep Learning Neural Networks Adapted from the book “Artificial Intelligence: A Modern Approach” – Stuart Russell and Peter Norvig. AlexD.ai Machine Learning AlexD.ai Traditional Programming X Machine Learning Training Data Input Data Software Machine Learning Developer Learning Algorithm Engineer Input Rules Data / Code ML Model (Code) Output Output AlexD.ai Traditional Programming X Machine Learning Smartphone Camera Web Page Field A = 123456 Accounts Database Pictures Database B = 123456 Machine Learning output: if A == B: The probability that is equal is 87% . print(‘Account Number is correct’) else: print(‘Account Number is wrong’) if probability >= 85%: print(‘Welcome back’) else: print(‘Unknown Customer’) AlexD.ai Heidenreich, H. 2018. The Future with Reinforcement Learning. Towards Data Science. AlexD.ai Deep Learning AlexD.ai Multilayer Perceptron (Fully Connected Neural Network - FCNN) 1 X1 Y X2 Weights Adapted from University of Waterloo and University of Toronto AlexD.ai Recurrent Neural Network (RNN) TransFormers (pre-trained models) Convolutional Neural Networks (CNN) BERT Source: University of Toronto, Towards Data Science and Google AlexD.ai Computer Vision AlexD.ai Fei-Fei Li, J. Johnson, s. Yeung, Convolutional Neural Networks for Visual Recognition, Spring 2018 AlexD.ai Facial Recognition Style Transfer Augmented Reality Generative Adversarial Network (GAN) Source: Machine Learning Mastery, Microsoft, Medium and Realeyes. AlexD.ai Natural Language Processing AlexD.ai Passage: “Toronto residents have been staying home and practicing social distancing For more than a month now, and the chilly spring weather has made doing so just a little bit easier.” BlogTO Reading Comprehension: Model: NAQANet Question: Where are the Toronto residents? Answer: home Semantic Role Labeling: Model: BERT Sentiment Analysis: Model: RoBERTa Answer: Positive Language Modeling: Model: GPT-2 Sentence: Toronto residents have been staying … AI2 – Allen Institute for AI – Allen NLP - https://demo.allennlp.org AlexD.ai Language Translation Text ClassiFication and Speech Recognition and Synthesis Named-Entity Recognition AlexD.ai Situation AlexD.ai AI(S, D) à V AlexD.ai WorkFlow Task Task Task Task Task Task 1 2 3 4 5 N … Computer Computer Computer Program 1 Program 2 Program N … Human Human Human Human Human Role Role Role Role Role A B C D … N AlexD.ai Input Data Action Outcomes AND / OR Decision Feedback Inspired by the book 'Prediction Machines - The Simple Economics of Artificial Intelligence’ by Ajay Agrawal, Joshua Gans and Avi Goldfarb AlexD.ai Recognition A B C 80% 72% 35% Input Data Action Outcomes Recognition (CV, NLP, ML, DL) Decision Feedback CV – Computer Vision NLP – Natural Language Processing ML – Machine Learning DL – Deep Learning AlexD.ai Prediction 87% Action Input Data Outcomes à ? Prediction (ML, NLP, DL) Decision Feedback AlexD.ai Discovery Action Input Data + Outcomes Discovery (ML, NLP, DL) Decision Feedback AlexD.ai Generation Generation Input Data (NLP, CV, DL) Outcomes Decision Feedback AlexD.ai Automation Judgement (Algorithm) 87% Action Input Data Outcomes (Algorithm) Prediction (ML, NLP, DL) Decision Feedback AlexD.ai Human-Machine Interaction Interaction Judgement Generation (Algorithm) (NLP, CV, DL) Output 87% Input Data Feedback Recognition/ Outcomes Prediction/ Discover (NLP, DL, ML, CV) Decision AlexD.ai WorkFlow Task Task Task Task Task Task 1 2 3 4 5 N … Computer Computer AI Computer Program 1 Program 2 Program N Gen … AI Hum Auto Human AI(HMI) Human Human AI Role Role AI AI Role AI Role HMI Pred Rec Dis A B D … N Auto – Automation Dis – Discovery Gen – Generation HMI – Human-Machine Interaction Pred – Prediction Rec – Recognition AlexD.ai Task N … Automation Discovery Task Generation 3 Human-Machine WorkFlow Interaction Prediction Recognition Task S 2 Task 1 AlexD.ai Data AlexD.ai AI(S, D) à V AlexD.ai AI(S, D) à V AlexD.ai Structured Data Unstructured Data Small Data Big Data AI(S, D) à V Messy Data Training Data Input Data Feedback Data Data Management AlexD.ai Enablers and Inhibitors AlexD.ai AI(S, D) à V AlexD.ai AI(S, D) à V People Tools Infrastructure Process AlexD.ai AI(S, D) à V Transparency Explainability EtHics AlexD.ai People AlexD.ai Data Scientist Machine Learning Business Professional Data Engineer Software Developers Business Professional Engineer Business Analyst Data Analyst Software Engineers Business Analyst Data Analyst Machine Learning Engineer AI(S, D) à V AlexD.ai Value AlexD.ai AI(S, D) à V AlexD.ai Get value from: Human augmentation Task automation Products and services innovation Lifelong learning Just for fun AlexD.ai Source: McKinsey & Company, 2019 AlexD.ai Source: McKinsey & Company, 2019 AlexD.ai Conclusion AlexD.ai AI(S, D) à V AlexD.ai AlexD.ai Thank You Alexandre Dietrich Artificial Intelligence Enthusiast Linkedin: https://br.linkedin.com/in/alexdiet Twitter: @alexdiet42 Youtube: youtube.com/c/AlexandreDietrich AlexD.ai.