Title Page Copyright and Credits IBM Watson Projects Packt Upsell Why subscribe? Packt.com Contributors About the author About the reviewer Packt is searching for authors like you Preface Who this book is for What this book covers To get the most out of this book Download the example code files Conventions used Get in touch Reviews The Essentials of IBM Watson Definition and objectives IBM Cloud prerequisites Exploring the Watson interface The menu bar Menu icon IBM Cloud Catalog Docs Support Manage Profile – avatar Online glossary, let's chat, and feedback What about Watson? The Watson dashboard Menu bar Quick start information bar Search, add, filter, and sort Content panel area Basic tasks refresher The first step Explore Watson prompts Predict Assemble Social media Refine Saving the original Add – some data Refine Summary A Basic Watson Project The problem defined Getting started Gathering data Building your Watson project Loading your data Data review What does this mean? Improving your score with Refine Refine or Explore Creating a prediction Top predictors Main Insight page Details page An insight Reviewing the results Summary An Automated Supply Chain Scenario The problem defined Getting started Gathering and reviewing  data Building the Watson project Loading your data Reviewing the data Refining the data Creating a prediction Supply chain prediction Predictors Main insights Reviewing the results Sharing with a dashboard Adding a new visualization Summary Healthcare Dialoguing The problem defined What is dialoguing? Leveraging (new) data to identify risk Getting started Gathering and reviewing data Building the project Reviewing the results Exploring the dialog data Collecting the data Moving on Recap Results Data quality of the prediction Data quality report More predictive strength More detail Assembling a story Testing your story Summary Social Media Sentiment Analysis The problem defined Social media and IBM Watson Analytics Getting started Creating a Watson Analytics social media project Building the project Project creation step by step Adding topics Social media investigative themes Adding dates Languages Sources Reviewing the results Deeper dive – conversation clusters Navigation Topics Another look Sentiment Sentiment terms Geography Sources and sites Influential authors Author interests Games and shopping  Behavior Demographics The sentiment dictionary The data Summary Pattern Recognition and Classification The problem defined Data peeking Starting a pattern recognition and classification project Investigation Coach me More with Watson Analytics The insight bar Modifying a visualization Additional filtering Item-based calculations Navigate Compare Simply trending Developing the pattern recognition and classification project Quality The Watson Analytics data quality report Creating the prediction The prediction workflow Understanding the workflow step by step Reviewing the results Displaying top predictors and predictive strength Summary Retail and Personalized Recommendations The problem defined Product recommendation engines Recommendations from Watson Analytics The data at a glance Starting the project Range filter Save me Developing the project Reviewing the results Targets Summary ribbon The top predictors Sharing the insights Summary Integration for Sales Forecasting The problem defined Product forecasting Systematic forecasting IBM Planning Analytics Our data Creating the forecast Starting the project Developing the project Visualizations and data requirements More questioning Time Series Other visualization options Reviewing the results Summary Anomaly Detection in Banking Using AI Defining the problem Banking use cases Corruption Cash Billing Check tampering Skimming Larceny Financial statement fraud Starting the project The data Developing the project The first question Using Excel for sorting and filtering the data Back to Watson Check numbers Reviewing the results Collecting Telling the story Summary What's Next Chapter-by-chapter summary Chapter 1 – The Essentials of IBM Watson Chapter 2 – A Basic Watson Project Chapter 3 – An Automated Supply Chain Scenario Chapter 4 – Healthcare Dialoguing Chapter 5 – Social Media Sentiment Analysis Chapter 6 – Pattern Recognition And Classification Chapter 7 – Retail And Personalized Recommendations Chapter 8 – Integration for Sales Forecasting Chapter 9 – Anomaly Detection in Banking With AI Suggested next steps Packt Publishing books, blogs, and video courses Learning IBM Watson Analytics LinkedIn groups Product documentation IBM websites Experiment Summary Other Books You May Enjoy Leave a review - let other readers know what you think