Day 2 - 18 March 2020

09:30AM

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

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

10:20AM

Mike Fish

Advisor

Consilience Ventures

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Camilo Amarcy

Head of Data & Analytics

Barclays

Associated Talks:

03:30PM - Day 2

View Panel: Data and the customer

10:20AM - Day 2

View Keynote Panel: Creating a data-driven culture

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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.
Moderator: . Mike Fish, Advisor , Consilience Ventures
. Camilo Amarcy, Head of Data & Analytics, Barclays

11:00AM

Networking Break

11:30AM

Jan Teichmann

Head of Data Science

Zoopla

Associated Talks:

11:30AM - Day 2

View Beating the odds: How to make your data project or team part of the 15% success story.

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Beating the odds: How to make your data project or team part of the 15% success story.

Making data science a success is really hard with up to 85% of projects and initiatives around big data and data science failing, according to Gartner. The reasons are complex but often misunderstood. As project management begins to grapple with the opportunities presented by data science those responsible for implementation need to proceed with care.

What is so different about data that it needs new approaches? This talk will focus on the requirements for data science success and looks at a future after the hype:

  • Motivation: Vanity project or aligned business strategy with senior leadership buy-in?
  • Requirements and preparations: Solid foundations or duct taped data silos and constant fire fighting bad data?
  • Hiring: Unicorns with the right skill sets to be a commercial data scientist or expensive mis-hires?
  • Delivery: Models in production serving business needs or undocumented proof of concepts on laptops?
  • Retention: Roadmap of game changing projects or abandoned team and expensive write-offs?
. Jan Teichmann, Head of Data Science, Zoopla

12:00PM

Implementing a successful data monetization strategy

  • Leveraging data to improve your company’s operations, productivity and products
  • Identifying new revenue opportunities
  • Making data available to customers / partners

12:30PM

Networking Break

02:00PM

Afternoon Keynote: Making Big Data the centre 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.

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

03:00PM

Unlocking unstructured Data

How machine learning is making unstructured data accessible

03:30PM

Mike Fish

Advisor

Consilience Ventures

View Full Info

Camilo Amarcy

Head of Data & Analytics

Barclays

Associated Talks:

03:30PM - Day 2

View Panel: Data and the customer

10:20AM - Day 2

View Keynote Panel: Creating a data-driven culture

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.
Moderator: . Mike Fish, Advisor , Consilience Ventures
. Camilo Amarcy, Head of Data & Analytics, Barclays

04:10PM

Session Close

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