fbpx

Day 2 - 18 March 2020

09:00AM

Registration Opens

09:30AM

Chris Tomlinson

Director

Data Science Foundation

Associated Talks:

09:30AM - Day 2

View Big Data Strategies: Chair’s Welcome and Opening Remarks

09:30AM - Day 2

View Big Data Business Solutions: Chairman’s Welcome

View Full Info

Big Data Strategies: Chair’s Welcome and Opening Remarks

. Chris Tomlinson, Director, Data Science Foundation

09:50AM

Simon Asplen-Taylor

Chief Data Officer

Rank Group

Associated Talks:

09:50AM - Day 2

View Keynote: Delivering business value through Data Analytics

View Full Info

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
. Simon Asplen-Taylor, Chief Data Officer, Rank Group

10:20AM

Mike Fish

Director

BigData4Analytics

View Full Info

Dr. Martin Fengler

CEO

Meteomatics

Associated Talks:

02:20PM - Day 1

View The Revolution: Simple Access to Weather Data

10:20AM - Day 2

View Panel: Creating a data-driven culture

View Full Info

Ashish Sharma

Director of Business Development

RavenPack

Associated Talks:

02:30PM - Day 1

View Beyond the Hype: Can Big Data and NLP add value for Investors

10:20AM - Day 2

View Panel: Creating a data-driven culture

10:00AM - Day 1

View Keynote: The daily business of AI

View Full Info

Jan Teichmann

Senior Data Science Consultant

The Trainline

Associated Talks:

12:00PM - Day 2

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

10:20AM - Day 2

View Panel: Creating a data-driven culture

View Full Info

Camilo Amarcy

Head of Data & Analytics

absa Bank Mozambique

Associated Talks:

10:30AM - Day 1

View Panel: Data and the customer

10:20AM - Day 2

View Panel: Creating a data-driven culture

View Full Info

Stefan Brock

Head of IT Architecture

Swissport

Associated Talks:

02:30PM - Day 2

View How to lead digitalization in established firms and the role of architecture: Swissport Case

10:20AM - Day 2

View Panel: Creating a data-driven culture

View Full Info

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, Director , BigData4Analytics
. Dr. Martin Fengler, CEO, Meteomatics
. Ashish Sharma, Director of Business Development, RavenPack
. Jan Teichmann, Senior Data Science Consultant, The Trainline
. Camilo Amarcy, Head of Data & Analytics, absa Bank Mozambique
. Stefan Brock, Head of IT Architecture, Swissport

11:00AM

Networking Break

11:30AM

Andy Cotgreave

Technical Evangelism Director

Tableau

Associated Talks:

-

View Tableau

11:30AM - Day 2

View Clear and Presentation Danger: how to share your data-driven insights

View Full Info

Clear and Presentation Danger: how to share your data-driven insights

You know the feeling. You’re in a meeting and the presenter is sharing data-driven insights. But they make no sense! It’s not the data that’s the problem, it’s the way they are presented. This is the Last Mile of Data Analytics. All your investment in people and technology means nothing if you do not effectively share the insight with others, in order to drive better decisions. Designing charts for meetings, presentations or even keynotes is a learnable skill. Andy Cotgreave, author of the Big Book of Dashboards, and Computing’s Analytics Professional of the Year, has sat through thousands of meetings, and seen many crimes committed against data. He’s even committed many himself. He’s also seen how effectively it can be done, with a little bit of effort. In this keynote, Andy will share his tips on presenting data effectively. You will leave with a bunch of easy-to-apply tricks to make your charts punch home their message in every meeting or presentation you lead.

 

 

. Andy Cotgreave, Technical Evangelism Director, Tableau

12:00PM

Jan Teichmann

Senior Data Science Consultant

The Trainline

Associated Talks:

12:00PM - Day 2

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

10:20AM - Day 2

View Panel: Creating a data-driven culture

View Full Info

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, Senior Data Science Consultant, The Trainline

12:30PM

Andreas Gertsch Grover

Director of Data Science

Charlotte Tilbury

Associated Talks:

12:30PM - Day 2

View Own your own data – On the importance of being in control of 1st party data

View Full Info

Own your own data – On the importance of being in control of 1st party data

Data is captured and used across all functions across a company. Third-party systems built for (and usually excelling at) only one use case make it difficult for data to be used for other purposes. Sometimes, the wrong data is captured, or multiple systems capture the same data in slightly different ways and formats. Efforts such as trying to optimise your supply chain using customer interaction on your website are almost impossible. Or does changing your CRM system mean you will lose data on your customers?

Not being in control of your 1st party data limits your growth, potential and value of your company. This talk is about the importance of owning your own data and how you manage doing that.

. Andreas Gertsch Grover, Director of Data Science, Charlotte Tilbury

01:00PM

Networking Break

02:00PM

Marc O’Regan

CTO EMEA

Dell Technologies

Associated Talks:

02:00PM - Day 2

View AI and the progression of Modern Analytics & Human Collaboration

View Full Info

AI and the progression of Modern Analytics & Human Collaboration

Artificial Intelligence is a specific area of computer science that aims to create machines that not only work and think, but also to act and react, as human beings would.
AI has been with us for over six and a half Decades, undergoing many revolutions and revivals. But only now, thanks to the advancement of core elements of AI and the ongoing development of Neural Nets, do we see AI emerging to make an impact on Business, Organizations, Industries and indeed societies in everyday life.

In this talk, we explore AI as framed around modern analytics architecture and its application to complex problem solving and creativity – The ability to enable us to do things with good Mathematics and good Tech that we simply were not able to do up until recent times. We all know that AI has been with us for decades, but it’s the emergence of 3 key pillars that has utterly changed how we adopt and integrate AI into a relationship that is developing between Humans and Machines– Better algorithms, better compute technology and a better relationship with Data and Data sets.

In this talk we will review what I think are the major milestones of AI and survey what I think are the most important things we have learned about AI in the last fifty years and make some suggestions based on industry experience about what might lie ahead for the progression of Humans and Machines for the future.

. Marc O’Regan, CTO EMEA, Dell Technologies

02:30PM

Onur Saglam

Data Architect

Swissport

Associated Talks:

02:30PM - Day 2

View How to lead digitalization in established firms and the role of architecture: Swissport Case

View Full Info

Stefan Brock

Head of IT Architecture

Swissport

Associated Talks:

02:30PM - Day 2

View How to lead digitalization in established firms and the role of architecture: Swissport Case

10:20AM - Day 2

View Panel: Creating a data-driven culture

View Full Info

How to lead digitalization in established firms and the role of architecture: Swissport Case

Today, besides its technical challenges and complexities, digitalization is also very much of a big culture exercise in established globally operating companies. The business-IT alignment becomes more important than ever as with the advent of recent new technologies, the changes are often initiated and driven by IT as opposed to traditional reactive IT, that responds to business specifications. Our learning and experience suggest that, clear navigation during times of such rapid changing environment requires the architecture practice to be more prominent with its boundary spanning role both within and outside of the organization, to help setting the right vision

. Onur Saglam, Data Architect, Swissport
. Stefan Brock, Head of IT Architecture, Swissport

03:00PM

Víctor Morón Tejero

Data Scientist Lead

Nectar360

Associated Talks:

03:00PM - Day 2

View From data analytics to data science driven

View Full Info

From data analytics to data science driven

This talk will cover the challenges we found to start implementing a data science team both from the technical and human point of view, by going through at least one example of a model implementation at nectar.

Main points will  include:

  • Technology needed (and problems/limitations with old/new technology)
  • Skills involved further than Data Science
  • Improvements regarding previous implementation
. Víctor Morón Tejero, Data Scientist Lead, Nectar360

03:30PM

Heather Walker

Global Head of Data Science, Analytics & Visualisation

Specsavers

Associated Talks:

03:30PM - Day 2

View Improving Business performance with data science

View Full Info

Improving Business performance with data science

So what: Asking the right questions to improve business performance with data science. We know data science can deliver huge value to our businesses (otherwise we wouldn’t be here, right?). How can you translate your capability into actual results, secure support from stakeholders, and get the best value?

. Heather Walker, Global Head of Data Science, Analytics & Visualisation, Specsavers

04:00PM

Session Close

Powered by WishList Member - Membership Software