Thursday, October 3rd

8:30am – 5:00pm

Location:

IBM Executive Briefing Centre
3755 Riverside Drive
Ottawa, ON

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Intro

Changing The Game: Winning With AI

Analytics Modernization Workshop

Set the stage through a customer analytics use case and walk through a dashboard detailing a customer churn problem. In the labs, users interact with a web application before adding artificial intelligence (the “before” view) and then interact with the same web application after adding artificial intelligence (the “after” view.) Users will analyze the resulting cost and benefit that an analytics modernization project with a deployed machine learning model will bring to the business overtime.

Analytics Modernization Journey

Collect

  • Connect to various source repositories, including MongoDB and Db2
  • Virtualize data: leave the data where it is and access and leverage it for analytic projects

Organize

  • Add business categories and terms, and governance policies and rules
  • Use machine learning to automatically map business terms to data assets, with quality scoring -Shop for data in the enterprise catalog
  • Transform multiple data sets into one view to be used for further analysis

Analyze

  • Build and interact with dashboards to gain insights into your data
  • Create a machine learning model using a Jupyter notebook in Python
  • Score and evaluate the machine learning model and make it available to an Application Developer

Deploy & Infuse

  • Deploy the machine learning model and test it with APls or curl
  • Infuse a web application with the machine learning model.
  • Provide the framework for Developers and Data Scientists to effectively collaborate
Overview

Become a data driven organization by embedding data governance, reporting and machine learning intelligence into your business operations. Improve your business agility by enriching microservices-based applications with machine learning and artificial intelligence. Join us for a full day session of interactive labs and learning to see how IBM Cloud Pak for Data empowers Data Scientists, Business Analysts, Data Engineers and Data Stewards to unlock the value of corporate data and harness the power of AI.

This event is by invitation only and has limited seating.

It is targeted for Chief Data Officers, Data Scientists, Business Analysts, Data Engineers, Data Stewards, and anyone interested in improving their “time to value” by gaining insight from data and streamlining the process of automating machine learning model creation and deployment for AI infused applications.

Agenda

8:30 – 9:00

Registration and Breakfast

9:00 – 5:00

Hands-On Workshop

Agenda Overview
  • Define a customer analytics use case to address customer growth, retention and satisfaction
  • Discover, profile and catalog source data repositories
  • Shop for governed, trusted data
  • Shape data for reporting and analytics
  • Build dashboards and machine learning models
  • Incorporate machine learning and AI into core customer facing applications
Audience

This event is by invitation and has limited seating. It is targeted for Chief Data Officers, Data Scientists, Business Analysts, Data Engineers, Data Stewards and anyone interested in improving their “time to value” gaining insight from data and streamlining processes through automation with AI.

REGISTER