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Course Description

Case Study: Augmented Analytics: Magic or Myth

December 3, 2020

12:00 pm - 12:40 pm

Prerequisite: None

Prital Ullal

Prital Ullal

Executive Director, Big Data and Analytics

NCR Corporation

Augmented analytics is artificial intelligence (AI)-driven analytics. It is about automating insights using AI techniques by looking at the entire analytics process. Augmented analytics is about seizing the data to automate the insights. How does a company seize data to scale analytics and improve decision making? This session will show how natural language processing (NLP), natural language generation (NLG), and automated machine learning (AutoML) are being used to rapidly deliver insights.

Automated machine learning automates feature engineering as well as algorithm and hyperparameter selection to find the best model for your data. AutoML enables automated building of machine learning with the goal of accelerating, democratizing, and scaling AI.

Does augmented analytics provide the magic potion to enable democratizing and accelerating AI to solve problems at a fast pace? This presentation will explore NLP, NLG, and AutoML and look under the hood to answer this question.