ReleaseNotes.ipynb

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    "<header>\n",
    "   <p  style='font-size:36px;font-family:Arial; color:#F0F0F0; background-color: #00233c; padding-left: 20pt; padding-top: 20pt;padding-bottom: 10pt; padding-right: 20pt;'>\n",
    "       ClearScape Analytics Environment<br>\n",
    "       Release Notes\n",
    "  <br>\n",
    "       <img id=\"teradata-logo\" src=\"https://storage.googleapis.com/clearscape_analytics_demo_data/DEMO_Logo/teradata.svg\" alt=\"Teradata\" style=\"width: 125px; height: auto; margin-top: 20pt;\">\n",
    "    </p>\n",
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    "This ClearScape Analytics Experience is running on a VM in the Google Cloud Platform (GCP) with:\n",
    "* vCPUS: 2\n",
    "* AMPs: 4\n",
    "* <b> Updated --> Memory: 22 GB</b>\n",
    "* Total Disk Storage: 100 GB\n",
    "* Recommended Maximum DBMS table space: 28 GB.\n",
    "\n",
    "Even though it is running on GCP, data can be exchanged with all cloud platforms. We've provided demos in the catalog that integrate with data stored on AWS. This experience is focused on ClearScape Analytics and is agnostic to the surrounding cloud service.\n",
    "\n",
    "The standard \"Free\" usage is 40 hours over a 30 day period, based on 4 hours a day for half of the working days.  There is a Monitor application that will check your environment every 5 minutes and if there has been no usage for 2 hours, it will suspend your environment. You can return to the ClearScape Experience web console to resume your environment. That usually takes between 10 and 15 seconds. You can also suspend your environment manually from the  Console. \n",
    "\n",
    "You will receive a warning message if your environment has not been used in the past 14 days that in 14 more days, the environment will be deleted. However, you will still have an account and you can provision a new environment which has the advantage of getting the latest notebooks. If you use a notebook or run queries in Vantage, your environment will not be deleted.\n",
    "\n",
    "Each environment has a maximum life of 60 days.  You will receive a warning message at the end of 48 days about the pending end-of-life for your environment.  At 60 days it will be \"Terminated\" which will prevent you from starting it but allows you to request a short extension to recover any work.  Seven days after environments are terminated, they are deleted. \n",
    " \n",
    "We are working to improve our portfolio of notebooks and we encourage you to \n",
    "[submit your notebooks for publication.](./Getting_Started/How_to_Submit_Your_Demos/How_to_Share_Demos.ipynb) \n"
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    "<hr>\n",
    "<b style = 'font-size:18px;font-family:Arial;color:#E37C4D'>Changes:</b>"
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    "#### 2024-10-07\n",
    "#### New Notebooks\n",
    "- Resume Classification Model Training using Vantage In-DB Functions\n",
    "- Streamlining Analytics with Hyper-Segmented Models\n",
    "- Sales Forecasting using Teradata AUTOARIMA\n",
    "- Execute Custom Python Scripts in Vantage\n",
    "- Enhance Product Hierarchies with In-DB K-means Clustering\n",
    "\n",
    "#### Updated Notebook\n",
    "- Air Passenger Forecasting\n",
    "- Generate Teradata SQL with GenAI and AWS Bedrock\n",
    "\n",
    "#### Changes to the filtering\n",
    "Added <b>Arima</b> to the filtering options for Analytics.\n",
    "<hr>\n",
    "\n",
    "#### 2024-09-20\n",
    "The group of use cases to demonstrate the capability of Parallel CPU Inferencing in Vantage requires a setup task to be performed in the environment.  This can be accomplished by executing this notebook, \"Initiate Parallel CPU Inferencing of HuggingFace Models in Vantage\" once before preceeding with the other use cases.\n",
    "\n",
    "#### Updated Notebook\n",
    "- Cash Demand Forecasting\n",
    "\n",
    "#### Changes to the filtering\n",
    "The listing of Analytic Functions is now sorted.  \n",
    "<hr>\n",
    "\n",
    "#### 2024-09-16\n",
    "\n",
    "#### New Notebooks\n",
    "- Customer Complaints Analysis Dashboard with Google Gemini\n",
    "    - Customer Complaints Analysis with Customer360 with Google Gemini\n",
    "    - Complaints Summarization with Google Gemini\n",
    "    - Complaints Classification with Google Gemini\n",
    "    - Complaints Clustering with Google Gemini\n",
    "    - Sentiment Analysis with Google Gemini\n",
    "    - Speech Recognition and Sentiment Analysis with Google Gemini\n",
    "    - Topic Modelling with Google Gemini\n",
    "- Customer Complaints Analysis Dashboard with AWS Bedrock\n",
    "    - Customer Complaints Analysis with Customer360 with AWS Bedrock\n",
    "    - Speech Recognition and Sentiment Analysis with AWS Bedrock\n",
    "    - Insights from Sentiment Analysis with AWS Bedrock\n",
    "    - Complaints Summarization with AWS Bedrock\n",
    "    - Complaints Classification with AWS Bedrock\n",
    "    - Complaints Clustering with AWS Bedrock\n",
    "    - Topic Modelling with AWS Bedrock\n",
    "- Customer Complaints Analysis Dashboard with OpenAI\n",
    "    - Customer Complaints Analysis with Customer360 with OpenAI\n",
    "    - Complaints Summarization with OpenAI\n",
    "    - Complaints Classification with OpenAI\n",
    "    - Complaints Clustering with OpenAI\n",
    "    - Sentiment Analysis with OpenAI\n",
    "    - Speech Recognition and Sentiment Analysis with OpenAI\n",
    "    - Topic Modelling with OpenAI\n",
    "- Financial Fraud Detection in DB\n",
    "- Getting Started with Azure OpenAI\n",
    "- Parallel CPU Inferencing of HuggingFace Models in Vantage\n",
    "    - RAG Solution with Embedding/Chunking with Vantage & AWS Bedrock\n",
    "    - RAG Solution with Vantage Model Catalog and AWS Bedrock\n",
    "    - Semantic Clustering using OpenSource Language Models\n",
    "    - Semantic Similarity using OpenSource Language Models\n",
    "\n",
    "#### New Read-Only Notebooks\n",
    "- Generate Teradata SQL with GenAI and AWS Bedrock\n",
    "- Customer Complaints Analysis Dashboard with Google Gemini\n",
    "    - Customer Complaints Analysis with Customer360 with Google Gemini\n",
    "    - Complaints Summarization with Google Gemini\n",
    "    - Complaints Classification with Google Gemini\n",
    "    - Complaints Clustering with Google Gemini\n",
    "    - Sentiment Analysis with Google Gemini\n",
    "    - Speech Recognition and Sentiment Analysis with Google Gemini\n",
    "    - Topic Modelling with Google Gemini\n",
    "- Customer Complaints Anaysis with Amazon Bedrock\n",
    "    - Customer Complaints Analysis Dashboard with AWS Bedrock\n",
    "    - Customer Complaints Analysis with Customer360 with AWS Bedrock\n",
    "    - Speech Recognition and Sentiment Analysis with AWS Bedrock\n",
    "    - Insights from Sentiment Analysis with AWS Bedrock\n",
    "    - Complaints Summarization with AWS Bedrock\n",
    "    - Complaints Classification with AWS Bedrock\n",
    "    - Complaints Clustering with AWS Bedrock\n",
    "    - Topic Modelling with AWS Bedrock\n",
    "- Customer Complaints Anaysis with Azure OpenAI\n",
    "    - Customer Complaints Analysis with Customer360 with OpenAI\n",
    "    - Customer Complaints Analysis Dashboard with OpenAI\n",
    "    - Complaints Summarization with OpenAI\n",
    "    - Complaints Classification with OpenAI\n",
    "    - Complaints Clustering with OpenAI\n",
    "    - Sentiment Analysis with OpenAI\n",
    "    - Speech Recognition and Sentiment Analysis with OpenAI\n",
    "    - Topic Modelling with OpenAI\n",
    "- Parallel CPU Inferencing of HuggingFace Models in Vantage\n",
    "    - Parallel CPU Inferencing of HuggingFace Models in Vantage\n",
    "    - RAG Solution with Embedding/Chunking with Vantage and AWS Bedrock\n",
    "    - RAG Solution with Vantage Model Catalog and AWS Bedrock\n",
    "    - Semantic Clustering using OpenSource Language Models\n",
    "    - Semantic Similarity using OpenSource Language Models\n",
    "\n",
    "#### Updated Notebooks\n",
    "- Competitor Proximity Geospatial Analysis\n",
    "- Text Term Frequency\n",
    "- Text Term Frequency\n",
    "- Text Term Frequency\n",
    "- Car Complaints\n",
    "- Carbon Footprint Analysis\n",
    "- Remaining Useful Life Forecasting\n",
    "- Store Sales Forecast via ARIMA\n",
    "- Mortgage Calculator using GenAI\n",
    "- Multi-Touch Attribution for Business Analyst\n",
    "- Multi-Touch Attribution for Data Scientist\n",
    "- Customer Reviews Analysis using GenAI\n",
    "- Credit Risk Assessment using Teradataml OpenSource Functions\n",
    "- Data Quality Anomaly Detection using Statistical Techniques\n",
    "\n",
    "#### New Filter Options\n",
    "- Other - Dashboard Notebooks\n",
    "- Other - Parallel CPU Inferencing\n",
    "\n",
    "<hr>\n",
    "\n",
    "#### 2024-08-01\n",
    "- Environments are now being created with 22GB of Memory.\n",
    "\n",
    "#### New Notebooks\n",
    "- Teradata Package for R (tdplyr) Basics\n",
    "- Customer Complaint Analyzer with GenAI\n",
    "- Introduction to the various Plot types using Teradataml Widgets.\n",
    "- Tutorial on using Teradataml Widgets\n",
    "- Banking Churn Prediction with AutoML\n",
    "- tdplyr R Basics\n",
    "- Customer Segmentation with K-means\n",
    "- Financial Fraud Detection InDB\n",
    "- Data Loading (R)\n",
    "- Generate Teradata SQL with GenAI and Bedrock\n",
    "- Predicting Medical Expenses in Healthcare\n",
    "\n",
    "#### Updated Notebooks\n",
    "- Multi-Touch Attribution for Business Analyst\n",
    "- Multi-Touch Attribution for Data Scientist\n",
    "- Generative AI Question Answering\n",
    "- Vehicle Routing for Delivery\n",
    "- Product Recommendation via AWS Bedrock\n",
    "- Chatbot using GenAI with insurance PDF document\n",
    "- Chatbot using GenAI with insurance PDF document\n",
    "- Natural Language Processing\n",
    "- Data Loading (Python)\n",
    "- Remaining Useful Life Forecasting\n",
    "- Data Loading (SQL)\n",
    "\n",
    "#### New Filter Options\n",
    "- The Beta process is now being deprecated.  It is being replaced with a a new filtering option: <b>New</b>.\n",
    "\n",
    "<hr>\n",
    "\n",
    "#### 2024-06-25\n",
    "- Environments are now being created with 22GB of Memory.\n",
    "\n",
    "#### New Notebooks\n",
    "- Mortgage Calculator Chatbot using Trusted AI(RAG) *Beta*\n",
    "- Fine-Tune OpenAI GPT-3.5 Turbo Model *Beta*\n",
    "- Credit Risk Assessment using Teradataml OpenSource Functions *Beta*\n",
    "- Convert PySpark to teradatamlspk\n",
    "- Mortgage Calculator chatbot using Gen AI: Fine-tune LLM *Beta*\n",
    "- Mortgage Calculator chatbot using Gen AI: RAG *Beta*\n",
    "- Customer Reviews Analysis using GenAI *Beta*\n",
    "- Anomaly Detection in Spot Welding Process - Trusted AI *Beta*\n",
    "- Parkinson's Disease Prediction using Signal Processing *Beta*\n",
    "- Mental Health Chat with Fine-tuned OpenAI Model *Beta*\n",
    "\n",
    "#### Updated Notebooks\n",
    "- 00_ModelOps_Introduction\n",
    "- 12_ModelOps_Model_Factory_REST_Python\n",
    "- Battery Defect Analysis\n",
    "- Energy Consumption Forecasting Dataiku\n",
    "- Sales Forecasting with Vantage vs SAS\n",
    "- Anomaly Detection of Outstanding Amounts\n",
    "- Telco 5G Quality of Experience\n",
    "- Store Sales Forecast via Prophet\n",
    "- Credit Card Data Preparation\n",
    "\n",
    "#### New Filter Options\n",
    "- The Analytic Function filter selection now contains two new options:\n",
    "    - Open Source\n",
    "    - Signal Processing\n",
    "\n",
    "<hr>\n",
    "\n",
    "#### 2024-04-29\n",
    "- New notebooks are now being deployed into the environment as <b>Beta</b> notebooks.  This means that you are invited to submit your reviews and recommendations to a new email address that is solely being used for listening to you.  The details are in the introductions of each Beta Notebook.\n",
    "\n",
    "##### New Notebooks\n",
    "- Product Recommendation via AWS Bedrock *Beta*\n",
    "- Cancer Prediction using the TDAPIClient and VertexAI *Beta*\n",
    "\n",
    "##### Updated Notebooks\n",
    "- Mortgage Calculator using GenAI\n",
    "- Generative AI Question Answering\n",
    "- Banking Customer Churn\n",
    "- Anomaly Detection\n",
    "<hr>\n",
    "\n",
    "#### 2024-04-18\n",
    "- New notebooks are now being deployed into the environment as <b>Beta</b> notebooks.  This means that you are invited to submit your reviews and recommendations to a new email address that is solely being used for listening to you.  The details are in the introductions of each Beta Notebook.\n",
    "\n",
    "##### New Notebooks\n",
    "- Natural Language Processing *Beta*\n",
    "- Anomaly Detection of Outstanding Amounts *Beta*\n",
    "- Product Recommentations via TDApiClient *Beta*\n",
    "- Shipping Time Prediction *Beta*\n",
    "- Charting and Visualizations using teradataml *Beta*\n",
    "\n",
    "##### Updated Notebooks\n",
    "- 4D Analytics on bike sharing\n",
    "- Mortgage Calculator using GenAI\n",
    "- Energy Consumption Forecasting\n",
    "- Financial Fraud Detection VIA BYOM\n",
    "- Financial Fraud Detection InDB\n",
    "- Heart Failure Prediction\n",
    "- Product Recommendations via OpenAI\n",
    "- Product Recommendations via Open Source\n",
    "- Green Manufacturing\n",
    "- Graph Analysis of CDR Records\n",
    "- Predictive Maintenance\n",
    "- Knee Replacement\n",
    "\n",
    "##### Other Changes\n",
    "- Added new topics:\n",
    "    - Text Analysis\n",
    "- Added new Filter Section (not all sections have notebooks):\n",
    "    - Solution Accelerator\n",
    "        - Anomaly Detection\n",
    "        - Enterprise Feature Store\n",
    "        - Customer Complaint Analysis\n",
    "        - Model Factory\n",
    "\n",
    "<hr>\n",
    "\n",
    "#### 2024-03-28\n",
    "- New notebooks are now being deployed into the environment as <b>Beta</b> notebooks.  This means that you are invited to submit your reviews and recommendations to a new email address that is solely being used for listening to you.  The details are in the introductions of each Beta Notebook.\n",
    "\n",
    "##### Updated Notebooks\n",
    "-  Customer Behavior Analysis \n",
    "-  Retail Demand Forecasting \n",
    "-  Anomaly Detection \n",
    "-  Train Delay Path Analysis \n",
    "-  Multi-Touch Attribution for Business Analyst \n",
    "-  Multi-Touch Attribution for Data Scientist \n",
    "-  Financial Fraud Detection inDB \n",
    "-  Financial Fraud Detection VIA BYOM \n",
    "-  Telco Customer Churn \n",
    "-  Broken Digital Journey \n",
    "-  Store Sales Forecasting via ARIMA \n",
    "-  Heart Failure Prediction \n",
    "-  Telco Network Coverage \n",
    "-  Financial Customer Journey \n",
    "-  Energy Consumption Forecasting \n",
    "-  Generative AI Question Answering \n",
    "-  Energy Consumption Forecasting using AzureML \n",
    "-  ModelOPs Introduction & List of Notebooks \n",
    "-  Diabetes Prediction via BYOM H2O \n",
    "-  Diabetes Prediction via DF and GLM \n",
    "\n",
    "##### New Notebooks\n",
    "-  Hyperparameter tuning *Beta* \n",
    "-  Grocery Recommendations using GenAI *Beta* \n",
    "-  Using ClearScape Analytics with OpenAI *Beta* \n",
    "-  Getting Started With Azure *Beta* \n",
    "-  Signal Processing and Classification *Beta* \n",
    "-  Cancer Prediction using Teradata and the SageMaker API *Beta* \n",
    "\n",
    "##### Other Changes\n",
    "- Added a new Industry: Defense\n",
    "- Added new topics:\n",
    "    - Prediction Analysis\n",
    "    - Vertex AI\n",
    "    - Beta Review\n",
    "    - Azure Cloud\n",
    "- Added a new Filter Section: <b>Other</b> (This includes includes a filter for the new Beta notebooks.)\n",
    "<hr>\n",
    "\n",
    "#### 2024-01-23\n",
    "- Added the notebook, \"ModelOps demo: In-Database XGBoost using Git\".\n",
    "- Added an option to skip to the Table of Contents in the \"ClearScape Analytics™ ModelOps Demonstrations\" Introduction notebook.\n",
    "\n",
    "\n",
    "#### 2023-12-27\n",
    "- Added a new filter for SQL or Python.\n",
    "\n",
    "##### Added new notebooks:\n",
    "- Chatbot using GenAI with insurance PDF document\n",
    "- Credit Card Data Preparation\n",
    "- Mortage Calculator using GenAI\n",
    "- Sales Forecasting with Vantage vs SAS\n",
    "- Supply Chain Visibility\n",
    "- Telco 5G Quality of Experience\n",
    "- Vehicle Routing for Delivery\n",
    " \n",
    "\n",
    "#### 2023-11-16\n",
    "- Added 25 new Read Only versions of the notebooks\n",
    "\n",
    "#### 2023-08-30\n",
    "- Flood Proximity to Climate Risk Analysis\n",
    "- Product recommendations via Open Source - suggests additional products consumer might purchase\n",
    "\n",
    "#### 2023-08-06\n",
    "- Energy Consumption Forecasting using AzureML plus ClearScape Analytics\n",
    "- Customer 360 - integrating data about customers from multiple sources\n",
    "\n",
    "#### 2023-08-02\n",
    "- Generative AI Question Answering = translates english language questions to SQL\n",
    "- Competitor Proximity Geospatial Analysis - Support proximity based marketing\n",
    "- Recommendation product search - suggests additional products consumer might purchase\n",
    "\n",
    "#### 2023-07-16\n",
    "- Added Cash Demand Forecasting\n",
    "- Added Query Service REST API demonstration\n",
    "- Updated Table of contents to simplify selections when multiple languages are available\n",
    "\n",
    "#### 2023-07-04\n",
    "- Added ModelOps application and 11 demonstration notebookes\n",
    "- Added Hyper Personalization to recommend best offer\n",
    "- Added Graph analysis of Telco CDR records to identify key influencers\n",
    "- Added Marketing Campaign Effectiveness\n",
    "- Added Multi-Touch Attribution with versions for Data Scientists and business users\n",
    "- Added Retail item demand forecast to build models for multiple SKUs\n",
    "- Added Store Sales Volume forecasting using Prophet and STO\n",
    "- Added Store Sales Volume forecasting using ARIMA\n",
    "\n",
    "#### 2023-06-07\n",
    "- Added Retail Demand Forecasting\n",
    "- Added Energy Consumption Forecasting using Dataiku\n",
    "- Added MultiTouch Attribution\n",
    "- Added Remaining Useful Life Forecasting\n",
    "- Added Customer Behavior Analysis for Python and PY_SQL\n",
    "\n",
    "#### 2023-05-21\n",
    "- Added Getting started notebook for data loading using SQL\n",
    "- Added Getting started notebook for data loading using Python\n",
    "- Added new python version of the Austin Bike Share demo with interactive maps\n",
    "- Added Anomaly Detection in manufacturing welding\n",
    "- Added Car Complaints\n",
    "- Added Train Delay analysis\n",
    "- Revised Air Passenger Forecasting for accuracy\n",
    "- Revised Financial Fraud Detection in DB using Python for accuracy\n",
    "\n",
    "#### 2023-05-14\n",
    "- Added Python version of Financial Fraud Detection via BYOM\n",
    "- Added Python version of Financial Fraud Detection InDB\n",
    "- Added Python version of Data Prep and Transformation\n",
    "\n",
    "#### 2023-05-07\n",
    "- Added Green Manufacturing\n",
    "- Added Heart Failure Prediction \n",
    "- Added Diabetes Prediction via Decision Forest (DF) and Generalized Linear Model (GLM) \n",
    "- Added Predictive Maintenance\n",
    "- Improved graphics in Energy Consumption Forecasting\n",
    "\n",
    "#### 2023-05-01\n",
    "- Added Financial Customer Journey, both SQL and PY_SQL versions\n",
    "- Added Financial Fraud Detection via BYOM\n",
    "- added Predictive Maintenance\n",
    "\n",
    "#### 2023-04-25\n",
    "- Updated README.md with improved index\n",
    "\n",
    "#### 2023-04-18\n",
    "- Availability to the public\n",
    "\n",
    "#### 2023-01-16\n",
    "- Initial release at Sales Kickoff in Vancouver"
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