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Artificial Intelligence for Business - Version 2

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This presentation is part of a workshop that will help you understand artificial intelligence tools and how they can be employed across your organization.

Lectures and activities are customized considering the background of the participants to highlight the use of artificial intelligence in a specific industry and in three different areas: product development, customer care, business operations.

Workshop structure
120’ lectures
2 activities to apply the concepts
1 practical toolkit

Published in: Technology
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Artificial Intelligence for Business - Version 2

  1. 1. L 4 T 3 R 4 L Creative Commons - BY SA NC - nicolamattina.it Artificial Intelligence for Business Nicola Mattina June 2017
  2. 2. L 4 T 3 R 4 L Creative Commons - BY SA NC - nicolamattina.it In our imagination…
  3. 3. L 4 T 3 R 4 L Creative Commons - BY SA NC - nicolamattina.it Artificial Intelligence in everyday products…
  4. 4. L 4 T 3 R 4 L Creative Commons - BY SA NC - nicolamattina.it A definition of artificial intelligence The capacity of a computer to perform operations analogous to learning and decision making in humans.
  5. 5. L 4 T 3 R 4 L Creative Commons - BY SA NC - nicolamattina.it Why is AI becoming usable for business? AlgorithmsData Computing Power
  6. 6. L 4 T 3 R 4 L Creative Commons - BY SA NC - nicolamattina.it 3 levels of Artificial Intelligence Artificial Narrow Intelligence Specialized in one area. Artificial General Intelligence Specialized in all area. Artificial Super Intelligence Smarter than humans in every way.
  7. 7. L 4 T 3 R 4 L Creative Commons - BY SA NC - nicolamattina.it Artificial Narrow Intelligence Specialized in one area. Artificial General Intelligence Specialized in all area. Artificial Super Intelligence Smarter than humans in every way. 3 levels of Artificial Intelligence W ork in Progress Singularity
  8. 8. L 4 T 3 R 4 L Creative Commons - BY SA NC - nicolamattina.it From Data to Skills Data Algorithms Skill+ = Images Deep Neural Networks Image Recognition Text Support Vector Machine Text Classification + = + =
  9. 9. L 4 T 3 R 4 L Creative Commons - BY SA NC - nicolamattina.it Algorithms
  10. 10. L 4 T 3 R 4 L Creative Commons - BY SA NC - nicolamattina.it Families of Algorithms* Natural Language Processing Semantic Technologies Machine Learning Deep Learning Recommender Systems * The landscape of AI technologies is more extended. I’m naming just a few of them.
  11. 11. L 4 T 3 R 4 L Creative Commons - BY SA NC - nicolamattina.it Natural Language Processing (NLP) http://www.moshebergman.com/study-notes/text-retrieval/week1.html Natural Language Processing is used to analyze any text to extract topics, sentiment, meaning and ultimately to gain knowledge.
  12. 12. L 4 T 3 R 4 L Creative Commons - BY SA NC - nicolamattina.it Semantic Technologies Semantic technologies are based on ontologies, a formal naming and definition of the types, properties, and interrelationships of the entities that really or fundamentally exist for a particular domain of discourse. Person Student Professor Lecture EmailName Student # Research Field Lecture # Topic IsA IsA Attends Holds Entity Attribute Relation
  13. 13. L 4 T 3 R 4 L Creative Commons - BY SA NC - nicolamattina.it Ontologies are used to extract entities and relations from texts Nicola teaches an artificial intelligence for business course to Mario and Giovanni on Monday. Professor Lecture Student Holds Student Attends
  14. 14. L 4 T 3 R 4 L Creative Commons - BY SA NC - nicolamattina.it Semantic Technologies we use everyday
  15. 15. L 4 T 3 R 4 L Creative Commons - BY SA NC - nicolamattina.it A definition of Machine Learning Machine learning provides computers with the ability to learn without being explicitly programmed.
  16. 16. L 4 T 3 R 4 L Creative Commons - BY SA NC - nicolamattina.it A machine can learn to solve these problems Regression analysis is a statistical process for estimating the relationships among variables. Classification is a general process related to categorization, the process in which ideas and objects are recognized, differentiated, and understood. Politics Tech Sport
  17. 17. L 4 T 3 R 4 L Creative Commons - BY SA NC - nicolamattina.it A machine can learn to solve these problems Anomaly detection is the identification of items, events or observations which do not conform to an expected pattern or other items in a dataset. Clustering is the task of grouping a set of objects in such a way that objects in the same group (called a cluster) are more similar (in some sense or another) to each other than to those in other groups (clusters)
  18. 18. L 4 T 3 R 4 L Creative Commons - BY SA NC - nicolamattina.it A machine learns creating models Data ML Algorithm Trained ModelUnlabeled Data Prediction Training Prediction
  19. 19. L 4 T 3 R 4 L Creative Commons - BY SA NC - nicolamattina.it Supervised Learning Machines are trained through 3 strategies Learning with a labeled training set Example. Email spam detector with training set of already labeled emails. Discovering patterns in unlabeled data. Example. Cluster similar documents based on the text content. Learning based on feedback or reward. Example. Learn to play chess by winning or losing. Unsupervised Learning Reinforcement Learning
  20. 20. L 4 T 3 R 4 L Creative Commons - BY SA NC - nicolamattina.it A definition of Deep Learning Deep Learning is part of the machine learning field of learning representations of data. Exceptional effective at learning patterns.
  21. 21. L 4 T 3 R 4 L Creative Commons - BY SA NC - nicolamattina.it Deep learning works by imitating the brain It utilizes learning algorithms that derive meaning out of data by using a hierarchy of multiple layers that mimic the neural networks of our brain.
  22. 22. L 4 T 3 R 4 L Creative Commons - BY SA NC - nicolamattina.it Recommender Systems A recommender system seeks to predict the "rating" or "preference" that a user would give to an item.
  23. 23. L 4 T 3 R 4 L Creative Commons - BY SA NC - nicolamattina.it Technologies and Research These (plus other) technologies are available on the market as… Platforms, SaaS and APIs Services built on AI
  24. 24. L 4 T 3 R 4 L Creative Commons - BY SA NC - nicolamattina.it Technologies and Research These (plus other) technologies are available on the market as… Platforms, SaaS and APIs Services built on AI
  25. 25. L 4 T 3 R 4 L Creative Commons - BY SA NC - nicolamattina.it Skills available on the market
  26. 26. L 4 T 3 R 4 L Creative Commons - BY SA NC - nicolamattina.it What are (some of) the skills of Artificial Intelligence today? • Convert Speech to Text • Recognize a Speaker • Classify Text • Analyze Sentiments • Moderate Contents • Translate Languages • Understand Commands • Extract information • Manage knowledge • Recognize things in images • Recognize things in videos • Recommend things
  27. 27. L 4 T 3 R 4 L Creative Commons - BY SA NC - nicolamattina.it Convert Speech to Text https://cloud.google.com/speech/ https://trint.com SaaS: From €11.00 to €16.20/hourAPI: From $1.44/hour
  28. 28. L 4 T 3 R 4 L Creative Commons - BY SA NC - nicolamattina.it Recognize a Speaker Microsoft Speaker Recognition API https://azure.microsoft.com/en-us/services/cognitive-services/speaker-recognition/
  29. 29. L 4 T 3 R 4 L Creative Commons - BY SA NC - nicolamattina.it Classify Text IBM Natural Language Classifier https://www.ibm.com/watson/developercloud/nl-classifier.html Classifiers groups texts in categories based on similarities. IE, a classifier can predict that these 3 phrases are similar and belong to the same category: • Is there a parking at the airport? • Where can i park at the airport? • I need to park a car at the airport
  30. 30. L 4 T 3 R 4 L Creative Commons - BY SA NC - nicolamattina.it Text Classification Examples Visit Monkey Learn to test text classification used for: • Language Detection • Topic Detection • Sentiment Analysis Note how unpredictable is the outcome when you don’t know how the algorithm was trained. Monkey Learn
  31. 31. L 4 T 3 R 4 L Creative Commons - BY SA NC - nicolamattina.it IBM Watson Tone Analyzer https://www.ibm.com/watson/developercloud/tone-analyzer.html Analyze Sentiments Google Cloud Natural Language API https://cloud.google.com/natural-language/
  32. 32. L 4 T 3 R 4 L Creative Commons - BY SA NC - nicolamattina.it Moderate Contents Microsoft provides a machine- assisted moderation of text and images, augmented with human review tools.
  33. 33. L 4 T 3 R 4 L Creative Commons - BY SA NC - nicolamattina.it Translate Languages IBM Watson Language Translator https://www.ibm.com/watson/developercloud/language-translator.html Google Cloud Translation API https://cloud.google.com/translate/
  34. 34. L 4 T 3 R 4 L Creative Commons - BY SA NC - nicolamattina.it Understand Commands Alexa, tell plan my trip next Friday I need a vacation I’d like to take a trip wake word launch invocation name utterance slot value PlanMyTripIntent {value: 2017-12-20} slot valueintent
  35. 35. L 4 T 3 R 4 L Creative Commons - BY SA NC - nicolamattina.it Virtual Assistants understand Commands Amazon Echo for Alexa https://www.amazon.com/Amazon-Echo-And-Alexa-Devices/b?ie=UTF8&node=9818047011
  36. 36. L 4 T 3 R 4 L Creative Commons - BY SA NC - nicolamattina.it Capital One Virtual Assistant for Alexa Alexa, ask Capital One, how much did I spend last weekend? Between December 9th and December 11th, you spent a total of $90.25 on your Venture Card. Alexa, ask Capital One, how much did I spend at Starbucks last month? Between November 1st and November 30th, you spent a total of $43.00 at Starbucks on your Quicksilver Card. 
  37. 37. L 4 T 3 R 4 L Creative Commons - BY SA NC - nicolamattina.it Amazon Voice Shopping
  38. 38. L 4 T 3 R 4 L Creative Commons - BY SA NC - nicolamattina.it Manage (simple) Conversations IBM Watson Conversation https://www.ibm.com/watson/developercloud/conversation.html api.ai https://api.ai
  39. 39. L 4 T 3 R 4 L Creative Commons - BY SA NC - nicolamattina.it IBM Watson Conversation IBM has a very powerful tool to create conversations to create virtual assistants and chatbots.
  40. 40. L 4 T 3 R 4 L Creative Commons - BY SA NC - nicolamattina.it Chatbots https://botlist.co Poncho
  41. 41. L 4 T 3 R 4 L Creative Commons - BY SA NC - nicolamattina.it Extract information from unstructured texts: Google Google Natural Language API: • extracts entities (people, places, events and much more); • understands sentiment; • analyzes syntax and parse intents. Google Cloud Jobs API delivers relevant job results understanding the relationships between job content, skills, seniority, location and many other signals.
  42. 42. L 4 T 3 R 4 L Creative Commons - BY SA NC - nicolamattina.it Extract information from unstructured texts: IBM IBM Watson Natural Language Understanding: • extracts entities; • understands sentiment; • analyzes syntax and parse intents. IBM Watson Natural Language Understanding can be paired with IBM Watson Knowledge Studio to use custom ontologies.
  43. 43. L 4 T 3 R 4 L Creative Commons - BY SA NC - nicolamattina.it Managing knowledge is not an easy task The team creates a type system that defines entity types and relation types for the information of interest to the application that will use the model. A group of two or more human annotators annotates a set of source documents. Any inconsistencies in annotation are resolved, and one set of optimally annotated documents is built, which forms the ground truth. Watson Knowledge Studio uses the ground truth to train a model. The trained model is used to find entities, relations, and coreferences in new, never-seen-before documents. Source: https://www.ibm.com/watson/developercloud/doc/wks/index.html
  44. 44. L 4 T 3 R 4 L Creative Commons - BY SA NC - nicolamattina.it Recognize things in images Google Cloud Vision API https://cloud.google.com/vision/ Typical features of a vision API: • label objects • detect explicit contents • detect logos • detect landmarks • detect faces • transcribe text (OCR)
  45. 45. L 4 T 3 R 4 L Creative Commons - BY SA NC - nicolamattina.it Clearifai offers many pre-trained models
  46. 46. L 4 T 3 R 4 L Creative Commons - BY SA NC - nicolamattina.it DocParser is specialized in extracting information from pdf files DocParser uses OCR (Optical Character Recognition) to extract data from scanned documents. https://docparser.com
  47. 47. L 4 T 3 R 4 L Creative Commons - BY SA NC - nicolamattina.it Recognize things in videos Google Cloud Video Intelligence https://cloud.google.com/video-intelligence/
  48. 48. L 4 T 3 R 4 L Creative Commons - BY SA NC - nicolamattina.it Stabilize videos Microsoft Video API https://azure.microsoft.com/en-us/services/cognitive-services/video-api/ Intelligent video processing produces stable video output, detects motion, creates intelligent thumbnails, and detects and tracks faces.
  49. 49. L 4 T 3 R 4 L Creative Commons - BY SA NC - nicolamattina.it SaaS Version: Microsoft Video Indexer Microsoft has packaged all its video APIs in a SaaS called Video Indexer. You can upload a video and get: • audio transcript • face detection and indexing • scene detection • sentiment analysis • content moderation • text translation • … https://vi.microsoft.com
  50. 50. L 4 T 3 R 4 L Creative Commons - BY SA NC - nicolamattina.it Recommend things Recombee https://www.recombee.com Microsoft Recommendations API https://azure.microsoft.com/en-us/services/cognitive-services/recommendations/
  51. 51. L 4 T 3 R 4 L Creative Commons - BY SA NC - nicolamattina.it IBM Watson vs. Google vs. Microsoft IBM Watson Google Microsoft Speech • Speech to Text • Text to Speech • Cloud Speech API • Custom Speech Service • Bing Speech API • Speaker Recognition API Language • Natural Language Classifier • Natural Language Understanding • Personality Insights • Language Translator • Conversation • Tone Analyzer • Cloud Natural Language API • Cloud Jobs API • Cloud Translation API • Language Understanding Intelligent Service Web Language Model API • Translator Text API • Bing Spell Check API • Text Analytics API • Linguistic Analysis API • Translator Speech API
  52. 52. L 4 T 3 R 4 L Creative Commons - BY SA NC - nicolamattina.it IBM Watson vs. Google vs. Microsoft IBM Watson Google Microsoft Vision • Visual Recognition • Cloud Vision API • Cloud Video Intelligence API • Computer Vision API • Face API • Content Moderator • Emotion API • Video API • Custom Vision Service • Video Indexer Knowledge & Search • Discovery • Discovery News • Knowledge Studio • Recommendations API • Academic Knowledge API • Knowledge Exploration Service • Entity Linking Intelligence Service API • Custom Decision Service
  53. 53. L 4 T 3 R 4 L Creative Commons - BY SA NC - nicolamattina.it Build your own Skills
  54. 54. L 4 T 3 R 4 L Creative Commons - BY SA NC - nicolamattina.it If out-of-the-box solutions are not enough… Train a model with your data Hire a Data Scientist Develop and train a new algorithm
  55. 55. L 4 T 3 R 4 L Creative Commons - BY SA NC - nicolamattina.it Train a model with your data Your Data Existing API Your Skill+ = Images Clarifai Recognize 
 your products Text Monkey Learn Text Classification + = + =
  56. 56. L 4 T 3 R 4 L Creative Commons - BY SA NC - nicolamattina.it Start from scratch using a ML Engine Google Machine Learning Engine https://cloud.google.com/ml-engine/ Amazon AWS AI https://aws.amazon.com/amazon-ai/
  57. 57. L 4 T 3 R 4 L Creative Commons - BY SA NC - nicolamattina.it Add AI to your processes
  58. 58. L 4 T 3 R 4 L Creative Commons - BY SA NC - nicolamattina.it Blueprint Design • Map the process • Find bottlenecks 
 and opportunities • Scout for the most appropriate skill Deploy • Do you need a data scientist? • Train/Develop the skill • Integrate • Deploy Learn • Learn from real usage • Repeat the process
  59. 59. L 4 T 3 R 4 L Creative Commons - BY SA NC - nicolamattina.it Architecture AI technologies evolve. Be prepared to switch from one API to another. Company Systems Integration Solution AI API AI API AI API CRM Marketing Automation SFA Customer Care
  60. 60. L 4 T 3 R 4 L Creative Commons - BY SA NC - nicolamattina.it Sources To make this presentation, I consulted many sources. Among these, the most relevant are: • Sam Wouters, Demystifying Artificial Intelligence • Luke Masuch, Deep Learning - The Past, Present and Future of Artificial Intelligence • Nathan Pacer, Venture Scanner - AI Report Q1 2017 It is released under a Creative Commons BY SA NC excepct for the contents that are extracted from the presentations listed above. Those contents are property of their authors.
  61. 61. L 4 T 3 R 4 L Creative Commons - BY SA NC - nicolamattina.it Nicola Mattina Polymath, husband, and father of two girls. I'm passionate about digital innovation. I design products and business models. Over the past twenty years, I worked mainly as a consultant helping complex organizations to understand and embrace digital transformation. In 2013, I co-founded and invested in Stamplay, a low- code development platform to make it easy to connect APIs to support business processes. http://blog.nicolamattina.it https://www.linkedin.com/in/nicolamattina https://www.facebook.com/nicolamattina ciao@nicolamattina.it
  62. 62. L 4 T 3 R 4 L Creative Commons - BY SA NC - nicolamattina.it AI for Business Learning Experience This presentation is part of a workshop that will help you understand artificial intelligence tools and how they can be employed across your organization. Lectures and activities are customized considering the background of the participants to highlight the use of artificial intelligence in a specific industry and in three different areas: product development, customer care, business operations. Workshop structure • 120’ lectures • 2 activities to apply the concepts • 1 practical toolkit If you want to engage us, just write me an email to ciao@nicolamattina.it. I will be happy to talk to you to understand your needs and design a unique learning experience for your organization. 4 steps • Interviews to customize the workshop • Proposal • One-Day full immersion workshop • Report and 1-2-1 follow up with participants
  63. 63. L 4 T 3 R 4 L actionable innovation

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