#AAillustrates Episode 17: Intelligent Automation: Combining Machine Learning & RPA (Part 2)

Build a bot with Micah Smith! Follow along as he leverages machine learning and RPA to build a bot that sorts emails sent to an IT helpdesk, saving time and increasing efficiency. Download required resources here: https://bit.ly/2Hgxeek Watch part 1 on demand here: https://bit.ly/3fb7FaM In last week's #AAillustrates, Micah Smith defined what intelligent automation is. In part 2, you'll put what you learned into practice by building your own intelligent bot. We'll walk through the process of training and consuming a Machine Learning model to recognize and sort help desk emails within our bot. Miss part one? Watch on demand here:    • #AAillustrates Episode 17: Intelligent Aut...   Intelligent automation is the sweet spot between robotic process automation (RPA) and the broad categorization of artificial intelligence (AI) to mimic cognitive decision making in task automation. In this second part of our 2 part series on intelligent automation, we'll be using the Machine Learning Classifier tool discuss in part one to assist in training a machine learning model, and using that model from within our bot to appropriately classify IT helpdesk tickets. If you want to follow along in the AAillustrates session, you'll need the following resources: 1. An Enterprise/Community A2019 Account • You can use Automation Anywhere Enterprise A2019 or Automation Anywhere Community Edition. • If you don't yet have an account, be sure to sign up here (https://www.automationanywhere.com/pr...) so you can get started in setting up your environment and getting your bot agent connected. 2. The ML Classifier App • This application was introduced in the first session. Download the full source code from GitHub (which includes the pre-built app) so you can follow along with part 2: https://github.com/harish2020Code/Mac... • If you aren't familiar with downloading from GitHub… Click the green Code button and select the option that says Download ZIP This will download the entire project to your downloads directory. Unzip the project. In it, you will find two .tsv files, a readme.md file, and a zip called MachineLearningClassify.zip Unzip the MachineLeaningClassify.zip The path to the executable that we use in the session is MachineLearningClassify\MachineLearningClassify\bin\Debug\MachineLearningClassify.exe 3. The Test/Train Datasets • Download the IT Helpdesk train and test datasets from the Automation Anywhere GitHub page (https://github.com/AutomationAnywhere...) • If you aren't familiar with download from GitHub, follow the instructions above to download both tsv files. That's it! You're ready to get started following along in the #AAIllustrates Intelligent Automation Pt II full bot build About the Automation Anywhere Developer Portal: Learn: Accelerate your RPA path with our learning trails and RPA certifications Build: Get free access Community Edition, SDKs APIs and more Engage: Connect with a thriving RPA developer community Earn: Turn your RPA skills into money and build a business on Bot Store Be sure to subscribe to Automation Anywhere for more great RPA tutorials, advice columns, product insights, and more. Subscribe on YouTube:    / automationanywhere   LinkedIn:   / automation-anywhere   Our blog: https://www.automationanywhere.com/blog Facebook:   / automationanywheresoftware   Twitter:   / automationanywh   #AAIllustrates #RPA #MicahSmith