Day 1 - 14 November 2019

09:30AM

Big Data Business Solutions: Chairman’s Welcome

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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 
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10:20AM

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. 

 

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11:00AM

NETWORKING BREAK

11:30AM

Finding the unicorns – building a Data Analytics team

  • Getting the right skills balance – what new competencies are required? 
  • Who does what? Data science versus data engineering. How do you maximise on the different skill sets? 
  • How big data and data science skills are perfect for the machine learning-enabled future 
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12:00PM

Harnessing the power of data

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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. 
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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 
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03:00PM

Unlocking unstructured Data

  • How machine learning is making unstructured data accessible 
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03:30PM

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.
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04:10PM

SESSION CLOSE

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