Day 2 - 14 November 2019

09:30AM

Big Data Business Solutions: Chair’s Welcome and Opening Remarks

Hide Details

09:50AM

Keynote: Delivering business value through Data Analytics

  • Accessing the power of unstructured data through machine learning 
  • Creating business value and actionable insights from unstructured data  
  • How images, video, speech and text can all be better recognised and processed 
  • Key use cases and data sets that can benefit most from a ML approach 
Hide Details
More Details

10:20AM

Jerry Gupta

Senior Vice President, Digital Catalyst

Swiss Re

Associated Talks:

10:20AM - Day 1

View Keynote Panel: Creating a data-driven culture

10:20AM - Day 1

View Keynote Panel: Driving Digital Transformation through AI & Deep Learning

View Full Info

Keynote Panel: Creating a data-driven culture

  • Establishing evidence-based decision making as a core part of the digital workplace 
  • Defining a clear strategy to leverage data whenever and wherever possible to enhance business efficiency and effectiveness 
  • Putting big data at the heart of your business  
  • Closing the data literacy gap, hiring talent and getting buy in from the top. 

 

. Jerry Gupta, Senior Vice President, Digital Catalyst, Swiss Re
Hide Details
More Details

11:00AM

Networking Break

11:30AM

Jules Malin

Director, Data Science & Analytics

GoPro

Associated Talks:

11:30AM - Day 1

View Case Study: GoPro

View Full Info

Case Study: GoPro

To follow soon…

. Jules Malin, Director, Data Science & Analytics , GoPro
Hide Details
More Details

12:00PM

Meenal Iyer

Director, Enterprise Analytics and Reporting Platforms

Macy's

Associated Talks:

12:00PM - Day 1

View Blueprint for a successful Data Monetization Strategy

View Full Info

Blueprint for a successful Data Monetization Strategy

Data is a constantly evolving asset, and unlike other assets it may be both appreciating and depreciating simultaneously. A key step towards recognizing the evolving nature of this evolving and ever-changing asset is to realize that the enterprise that generates this asset is also ever-changing and growing.

A successful data monetization strategy requires a well-thought out approach that focuses on the revenue generating and impact generating opportunities that are consistent with an enterprise’s overall strategy.

There are two primary avenues to data monetization. The first focuses on leveraging data to improve a company’s internal operations, productivity, products , end customer interactions and services. The second involves identifying new revenue opportunities (products, markets, customer segments) and/or making data available to customers and partners.

. Meenal Iyer, Director, Enterprise Analytics and Reporting Platforms, Macy's
Hide Details
More Details

12:30PM

Networking Break

02:00PM

Afternoon Keynote: Making Big Data the center of your business model

  • What problems is Big Data helping to solve? 
  • What data will be used? How will it be generated and analysed? 
  • How to encourage Big Data Innovation and stay ahead of the pack. 
Hide Details
More Details

02:30PM

Telling a story with data and analytics

  • What is data storytelling and how is it evolving? 
  • Combining data visualisation and narrative techniques to deliver insights 
  • Going beyond reporting and dashboarding 
Hide Details
More Details

03:00PM

Unlocking unstructured Data

  • How machine learning is making unstructured data accessible 
Hide Details
More Details

03:30PM

Dr. Li Gao

Technical Lead

Lyft

Associated Talks:

03:30PM - Day 1

View Panel: Data and the customer

View Full Info

Panel: Data and the customer

  • What problems is Big Data helping to solve? 
  • What data will be used? How will it be generated and analysed? 
  • How to encourage Big Data Innovation and stay ahead of the pack.
. Dr. Li Gao, Technical Lead, Lyft
Hide Details
More Details

04:10PM

Session Close

Powered by WishList Member - Membership Software