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London
Anchor Conference City

Big Data Week Conference: October 13

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Big Data Week Conference 2017
London | October 13

    
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Watch all the presentations from Big Data Week 2015.

#bdw15 Speakers Stage

Chandan Rajah

Head of Group Analytics / Shop Direct

Jane Zavalishina

CEO / Yandex Data Factory

Neil Avery

CTO, Technical Consulting / Excelian

Ronald van Loon

Big Data Global Influencer & Director / Adversitement

John Abbey

Senior Data Consultant / Dunnhumby

Andy Cotgreave

Visual Analytics Expert / Tableau

Ioana Hreninciuc

Commercial Director / Bigstep

Jim Anning

Head Of Data and Analytics / British Gas Connected Homes

Charles Cai

Head of Data Science Technology / BP Trading, one of the Top 50 UK Data Leaders and Influencers

Marton Trencseni

Director of Data Analytics / Prezi

Kriti Sharma

Global Head of Product, Real-time Big Data Analytics / Barclays

Martin Goodson

VP Datascience / Skimlinks

Peter Bjørn Larsen

Director City Data Exchange - Copenhagen Social Innovation Business Unit

Nick Henthorn

Commercial Director / Telefonica Dynamic Insights

Mick Ridley

Head of Data & Technology / Exterion Media

Matthew Doubleday

Head of Data Science / Shop Direct

Simon Monk

Management Consultant / Demand Finder

Alex Bordei

Product Manager / Bigstep

Kenneth Cukier

Data Editor / The Economist

Marc Warner

CEO / ASI

Alpesh Doshi

Co-founder & Managing Director / Fintricity

Valéry Bollier

Co-Founder & CEO / OulalaGames

Greg Lever

Senior Data Scientist / Stylect

Mike Bugembe

Chief Analytics Officer / JustGiving.com

Keyur Mehta

Head of Data Architecture / Betfair

Emma Martin

Commercial Data Manager / ESI Media

Alan Grogan

Associate Partner & Top 50 Data Leader in UK / Atos

Andrew Gregson

Founder / media140 Wordwide & Big Data Week

Abigail Lebrecht

Principal Analyst / uSwitch

Erik Nygard

Co-Founder / Limejump

Deenar Toraskar

Founder / Think Reactive Ltd

Roland Major

Enterprise Architect / Transport for London

#bdw15 Was More than a conference

TRAINING SESSIONS

Retail, Advertising & Marketing Tools
Monday, Nov 23, 9:00 – 13:00, Paddington – K’dom St

Real-time Analytics Spark & Storm
Tuesday, Nov 24, 9:00 – 13:00, Paddington – K’dom St

Schedule

 

09:00 – 13:00
LONDON TRAINING CENTRE – PADDINGTON KINGDOM ST

Training: Big Data Tools for Retail, Advertising & Marketing

To register, go to the official training page. Big Data Week VIP tickets attendees will receive in their ticket registration confirmation a 100% discount code for participating in the training.

09:00 – 13:00
LONDON TRAINING CENTRE – PADDINGTON KINGDOM ST

Training: Real-time Analytics Spark & Storm

To register, go to the official training page. Big Data Week VIP tickets attendees will receive in their ticket registration confirmation a 100% discount code for participating in the training.

08:30 – 09:00

REGISTRATION & TEA TIME

09:00 – 10:30

Keynotes “Big Data In Use”

 


Andrew Gregson
Ioana Hreninciuc

Big Data Week Welcome

 


Ioana Hreninciuc

Elite Sponsor Intro: Bigstep

 


Jim Anning

The Internet of Things, Data and Value

British Gas Connected Homes is a UK Internet of Things success story. In this talk, Jim will describe how a 200 year old utility company has given birth to one of the UK’s largest consumer Internet of Things businesses.


Kenneth Cukier

The New Ethics of Big Data

The moral dimension of data is typically associated with privacy, and the fear of misuse or accidental disclosure. But in an age of big data, this thinking is archaic and…


Ronald van Loon

Impact of Big Data: Be Relevant or Be Redundant

Every business is looking to create value from big data. In many domains the impact and possibilities have been substantial. In marketing, companies are able to understand their customers’ journey…

10:30 – 11:00

COFFEE BREAK

10:45 – 11:00

BREAKOUT SESSION (DURING COFFEE BREAK)


Roland Major

TfL Urban Traffic Data Hack

TfL recently commissioned its first data science Hackathon and provided 2TB of data to see what the data science community could achieve.


BUSINESS TRACK

20 minutes/presentation

TECH TRACK

25 minutes/presentation

11:00 – 12:30

 

Andy Cotgreave

You’ve Got Your Insight Data, Now What?

Throughout history, people have been trying to gain new insights by manipulating data. Is today any different? Only in the types and volume of data: the insights we seek are…

11:00 – 12:45

 

Neil Avery

Evolving Patterns of Big Data

Big Data is now the mainstay for many industries. We are seeing typical patterns of use evolving to a point where the gap between vendor and use-case is so repeatable…

Jane Zavalishina

Forget Big Data, Think Machine Learning

What does machine learning revolution mean? Are our jobs going to be replaced by robots? How should companies prepare for this change? In this talk Jane will share examples of how machine learning can be applied…

Keyur Mehta

How To Leverage the Cloud for Big Data Analytics

The cloud has transformed big data analytics with its agility, elasticity, transparency and simplicity. Keyur will share tips to leverage the power of the cloud for Big Data Analytics based on his real-life experiences at Betfair.

Mick Ridley
Nick Henthorn

Creating Value From Mobile Phone Data – Case Study in the OOH Market

A joint presentation using a real case study to demonstrate how Telefonica’s mobile phone data can be used to derive insights Specifically featuring how Exterion Media intend to tailor advertising…

Charles Cai

Big Data and Data Science

IoT = Big Data! In this talk we are going to discuss the latest development in Big Data, Machine Learning and Data Science, and use real IoT use cases to cover lifecycle of IoT data analytics…

Kriti Sharma

Creating Customer-Centric Products Using Big Data

This talk will focus on unleashing the power of big data technologies to create personalised, user-centric products and services. We will share our insights and experiences on the value of offering the right product to…

Matthew Doubleday

Data Science in Retail

Deep dive into some data science use cases in the retail space. A list of potential applications of data mining or data algorithms will be presented, deep diving into…

12:30 – 13:30

LUNCH

12:45 – 13:45

LUNCH

BREAKOUT SESSIONS (DURING LUNCH BREAK)

13:00 – 13:30
Abigail Lebrecht

Multi-touch Attribution: A Marketing Problem Solved?

A fundamental problem in data-driven marketing is attributing worth to all the marketing channels (paid, organic, email etc.) when a customer can interact with a number of these channels before making a purchase…

13:00 – 13:30
Eryk Nygard

Big Data is a Catalyst for Energy Market Shift

A dramatic shift in the UK energy system is necessary to meet the UK’s renewable targets. The traditional energy system is a centralised network with one-way power flow, with electricity generated by traditional power plants and very little data leveraged for system and consumer benefit…

13:30 – 15:00
Chandan Rajah

Business Change Through Predictive Analytics

Should companies invest in predictive analytics? A journey through how some companies extracted value from predictive analytics. The pros, cons and impact that could be expected from predictive and prescriptive analytics.

13:45 – 15:00
Alex Bordei

Data Lake and the Rise of the Microservices

Working on the first Data-Lake-as-a-Service in the world gave us the perspective of how Data Lakes enable companies to understand correlations between existing and new external data in ways traditional…

John Abbey

Why Your Data Asset Is Your Gold Mine

The idea of what “big data” can deliver and how it can empower a business are still up for debate. There is a lot of press about what it could…

Martin Goodson

From Wheelbarrows to Macbeth – Behavior Modelling for Publishers

Publishers’ content can be a rich source of data on users’ interests, brand affinity and purchase intent. When users interact with articles about products and brands, they generate click, page…

Simon Monk

Start Small, Plan Big – Honest Café Story

Honest Café, an unmanned café chain, is a perfect example of how young new businesses are leveraging predictive analytics for the first time to make better, more strategic business decisions….

Marton Trencseni

Beautiful A/B Testing

Successful SaaS companies like Prezi perform hundreds of A/B tests. Building out their in-house system for tracking experiments, Prezi learned that A/B testing has much depth and beauty than simply computing statistical significance from conversation rates…

Marc Warner
Moderator: MARC WARNER

Big Data in Retail (panel)

Chandan Rajah
John Abbey
Simon Monk



15:00 – 15:30

COFFEE BREAK

15:00 – 15:30

COFFEE BREAK

BREAKOUT SESSION (DURING COFFEE BREAK)

15:15 – 15:30
Deenar Toraskar

Getting Deeper Insights from Risk Data On Demand

Using the use case of risk aggregation Deenar will demonstrate how a notebook interface can be used to empower users to get deeper insight more quickly. A notebook is an agile and interactive workspace for exploration and visualization so you can learn, work, and collaborate in a single, easy to use environment…

15:30 – 17:00

 

Peter Bjørn Larsen

City Data Exchange – A Marketplace for Public and Private Data

Peter joined Hitachi Consulting in August 2015 as the leader of the City data Exchange in Copenhagen. Peter is no stranger to the initiative as he was leading the tender process from the client side where he was the Smart City Manager at…

 

 

15:30 – 17:00

 

Marc Warner
Greg Lever
Mike Bugembe

How to Become an Effective Data Scientist (Workshop)

A central challenge in a modern technological economy is ensuring the supply of sufficiently educated workers. The shortfall of deep analytical talent is talked about with such frequency that it is almost cliche. In the talk, we discuss what data scientists actually do, how they have a versatile tool box, as well as a certain way of thinking and how to become…

Valéry Bollier

Big Data, Sports and Game – A Fusional Triptych

Sports have always been an art more than a science, and sports games a pale copy of reality. Recently, the rise of Big Date has been a fascinating game changer in the sports world. Sports performances can now be scientifically analyzed: the largest football teams in the world have embraced it by hiring dozens of…


Alan Grogan

IoT – When an Unstoppable Force Meets an Immovable Object

In 2015 Digital Transformation continues to be a key area of investment for CEOs and business owners. The Internet of Things is disrupting long established business models including direct retailer-consumer relationships.


Alpesh Doshi
Moderator: ALPESH DOSHI

How to Become Data Driven (panel)

How a data driven organization should look like, organizational wise but as well strategy wise? The participants in this panel will discuss about how they believe an organization should function/be organized in order to optimally run big data projects.

 
Jim Anning
Matthew Doubleday

Panelists



17:00 – 18:00

CLOSING & COCKTAIL

18:30 – 21:30

WRAP-UP PARTY


BIG DATA WEEK CLOSING COCKTAIL


Sponsors

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