Preparing Big Data for Automation and Monetization

With data in-hand, machine learning aids in everything from cleaning datasets to managing multiple data sources to synthesizing data. With the help of machine learning, data can now be monetized. This track identifies key business strategies for data monetization and steps to be taken to maximize the impact of AI technology interaction with Big Data.

Friday, October 25

7:45 am Registration Opens

8:00 Continental Breakfast

8:50 – 12:45 pm Keynote Session

12:45 Networking, Coffee & Dessert in the Expo – Last Chance for Viewing

1:45 Opening Remarks

Hurwitz_JudithJudith Hurwitz, President, Hurwitz & Associates

1:50 AI Executive to be Announced

2:15 Preparing Big Data for Automation and Monetization

Judith Hurwitz, President, Hurwitz & Associates

2:40 PANEL: Chief Data Officers Speak Out on Monetizing Big Data with AI

Kumar_VishalModerator: Vishal Kumar, CEO and President, AnalyticsWeek

Panelists: Prakriteswar Santikary, PhD, Vice President and Global Chief Data Officer, ERT 

3:10 Networking Break

3:25 Digital Transformation through Data-Driven Revenue Strategies

Schneider_LynneLynne Schneider, Research Director, Data as a Service, IDC 

3:55 PANEL: The Data Preparation Cycle from Exploration to Acquisition to Feature Engineering

Big Data is proving its value in many application areas. But what can you do when you don’t have a large data set? Or when you have a large amount of data, but not much labeled data in the domain of the prediction you need to model? This panel considers the potential of data exploration, feature selection/creation, and non-supervised machine learning to deliver value when relevant labeled data is scarce.

Morris_HenryModerator: Henry Morris, PhD, Principal, Henry Morris Analytics

Kumar_SureshPanelists: Suresh Kumar, Head of AI Solutions, PARC

Kirby_MaxMax Kirby, Director of Cloud Platform Solutions, Publicis.Sapient/Google 

4:45 Close of AI World 2019