SOCIAL


LATEST TWEETS

Programme

09:10
Conference Chair’s Opening Address
09:20
Why Data Matters for your Digital Transformation

Somita Yogi, Director of MI, Data Strategy and Data Science/Analytics, Post Office

Data and Digital Transformation enable one another. According to Forbes, “by 2018, 35% of IT resources will be spent to support the creation of new digital revenue streams and by 2020 almost 50% of IT budgets will be tied to digital transformation initiatives.”

We look at how your organisation can:

  • Use data to solve strategic business problems
  • Use advanced analytics, ML and AI to build intelligent business processes
  • Drive digital transformation and monetise data assets while being mindful of information governance post-GDPR
09:40
When Big Data Means Big Risk: How to Protect Sensitive Data in Big Data Analytics

Felix Rosbach, Product Manager for Enterprise Data Security, comforte AG

The insights gained from Big Data Analytics can be incredibly valuable, however every new data stream constitutes a new potential attack vector, which makes classic perimeter defenses obsolete and can leave your organization vulnerable. In the past, data security executives and data scientists had to compromise between being able to use the data freely and properly securing it from potential threats. Is there a way to secure your data and analyze it too? Learn more about data-centric security, and why there’s no need for compromise.

09:55
Why are AutoML and augmented analytics an integral part of the future of ML?

Dr Stylianos Kampakis, Expert Data Scientist, Research Fellow, UCL Centre for Blockchain Technology

A large part of the history of computer science is around automation. Computers were initially used for simple repetitive number crunching. As science advances we move on to the automation of more complex tasks.

Machine learning has managed to automate tasks such as labelling of images and audio, and is now moving on to more complex endeavours such as autonomous vehicles.

However, machine learning remains a complex subject. The next stage in the evolution of ML is improving accessibility. AutoML and augmented analytics play a key role in this trend.

10:15
Achieving Real-Time Analytics with Log-Based CDC and Streaming Data

Zulf Qureshi, Senior Solutions Architect, HVR

This session is about how a regional airline improved internal communications and messaging with real-time data and analytics.  Zulf will share a story about an airlines journey of becoming a real-time organization by using data streaming platform, Kafka and log-based change data capture (CDC) technology.
Find out how your organization can leverage modern technologies with existing data platforms to advance its analytics and in this case, internal communications.

10:30
How to Avoid the Perils and Pitfalls of Big Data Projects

Bryan Barrow, Big Data and Analytics Programme Manager, Dyson

Big Data has been promoted as a potential game changer for businesses and will soon come to dominate IT spend. However, the majority of British Big Data projects fail to realise their full potential. Many businesses are still stuck taking their first tentative steps / dipping their toes into the Big Data lake consequences.

This talk will discuss the perils and pitfalls of delivering Big Data programmes, for those about to embark on the journey, so that they reduce the risk of failure and accelerate deliver results.

  • Why Internal politics, not lack of skills, is your biggest challenge
  • Why you need to start small but design to scale
  • How to Make Security, Privacy and Governance your Friends
  • Developing your Big Data roadmap
  • Big Data starts with clean data
10:50
Questions To The Panel Of Speakers
11:00
Refreshment Break Served in the Exhibition Area
11:30
Drowning in the Data Lake? Ignore it instead...

Julian Highley, Director of Data and Analytics, Clarks

Retailers have an unprecedented amount of data available to them both big and small: customer transactions, web browsing, CX program tracking, competitor range, price and store location data through search terms and web scrapping, general search, weather, economic indicators – the list goes on. But, how do you take all of this information and make better business decisions as a result rather than being overwhelmed by a deluge of KPI?

Julian will be discussing approaches to creating a data network that enables the company to understand what impacts revenue and enables you to direct investments with confidence.

  • Forget Big Data – Focus on data that will deliver value
  • There are too many measures that organisations are looking at today – cut them down to those that are really important
  •  While significant effort is put into linking data, “soft links” can yield greater value
  • How suppliers can now deliver value has fundamentally shifted to providing clients access to data rather than tools
11:50
Delivering Maximum Value from Data Science Projects Through Productionalizing Machine-Learning Models

Teren Teh, Vice-President, Market & Customer Insights, Barclays; CEO/Founder, Orchestra

Deploying your machine-learning models to production is a crucial step in transforming data science research into real value for your company.

This presentation will guide you on how to make the most of your data science projects and successfully deploy your models.

12:05
Questions to the Panel of Speakers and Delegates move to the Seminar Rooms
12:15
Seminar Sessions

(To view topics see the seminars page)

13:00
Networking Lunch Served in the Exhibition Area
14:00
Conference Chair’s Afternoon Address
14:05
Ethics and Impact, the 'Humanity' in Data science

Satya Singh, Senior Product Manager – Data, Marketing and Automation, Hotels.com

How do we ensure that we don’t forget about the impact of data science socially? How do we make sure that data science has a positive social and emotional impact? Well, we need to understand that data is not objective if there is no human in the loop. Data is a mere tool to build fancy products which can become great products if we think of ethics and impact on society in general.

14:20
Turning Transactions Into Insights: CDL and Attunity Case Study

Matt Houghton, Technical Consultant, CDL

CDL is a top UK tech firm, listed in the Financial Times Future 100. Its customer base comprises high volume retail operations, including over 100 major Internet brands, meaning it processes vast amounts of consumer data in milliseconds.
In this talk, Matt will show how CDL uses Change Data Capture (CDC) to transform transactions into low latency data marts. These data marts are used by CDL and our customers to gain insight, visualise and put data into the hands of decision makers in their organisations.

14:35
When Cryptography Meets Big Data Analytics

Aisling Connolly, Cryptography and Privacy Researcher, Information Security, École Normale Supérieure

The introduction of the GDPR and high-profile data breaches have thrown privacy into the spotlight on the data stage. Traditional business models are being disrupted, and many methods for data analytics are no longer plausible. It is difficult to see how to move forward in this age of information, where privacy must remain a core principle.

At the same time, what was once an innovation barrier, cryptography has seen major advances over the past decade. We are no longer confined to either seeing ‘all or nothing’ when looking at data, but instead, can define how much, or how little we want to see.

These cryptographic advances open whole new avenues of exploration for data, and for privacy-preserving analytics. This talk will give a brief overview of such technologies.

• Cryptography is no longer a barrier to Innovation
• We can blindly go where no one has gone before
• Examples of Zero-Knowledge Computing
• In terms of Big Data, what does this allow?

14:50
Uncovering Revenue Opportunities with a Modern Data Stack

Fivetran & Looker case study presented by Stephen Coyne, Head of Data Analytics, MVF

Stephen will explain how MVF integrates data from 14 different sources to identify new customers for B2B and B2C businesses. You will learn how any company can leverage a similar data stack with Fivetran and Looker to guarantee a single source of truth and uncover new revenue opportunities.

15:05
Questions to the Panel of Speakers
15:15
Afternoon Networking and Refreshments served in the Exhibition Area
15:45
Data analytics in Ofgem-an energy market perspective

Sophie Adams, Head of Data Services Operations, Ofgem

Steven Steer, Head of Data, Ofgem

Ofgem has the opportunity to improve data transparency and create new insights for the transforming UK energy market, whilst reducing the data burden on industry.

By using modern data management tools and governance approaches, Ofgem can change and grow greater trust in regulatory data and better-informed exchanges with stakeholders through deeper insight.

By making data and methodologies transparent and accessible, Ofgem can drive accountability in the industry, collaborate in new ways with its stakeholders and innovate.

• Problems surrounding data in regulated sectors
• Working with industry to enable better data sharing
• How we can develop principles to address big questions
• What are the main challenges?

16:00
What Makes a Good Data Visualisation?

Isabel Bevort, Data Scientist-Researcher, Dutch Railways

Data visualisations are still the best way of transforming the insights gleaned from tangled masses of data into stories that the rest of your organisation can understand and act on.

Data visualizers are often caught between two competing forces: creating graphs and visuals that are simple to read on the one hand and making sure they are complex enough to reflect the realities of the data available on the other.

This presentation shows how you can overcome this by:

  • Starting with the story you want to tell from the data, and building from there
  • Balancing simplicity and complexity in data visualisation
  • Incorporating feedback from other business areas into your designs
16:15
Closing Key Note: Security in the age of big data

Tamara Carpintero, Big Data Manager, Santander Bank

With a large number of new market niches that Big Data opened for us all, data security has become the main concern. Protecting our customers and guaranteeing their privacy is our main goal. As an answer to this need for protection, we have developed our own anonymisation tool, which has already been used in a considerable number of cases, providing a solution to privacy issues and adding value to our organisation as a whole.

If you would like to know more about anonymisation, discover the benefits our anonymisation tool can provide, or learn about the importance of a tool such as this in today’s world and how to use it to your benefit, do not hesitate to join us on this review about data protection and anonymisation

16:30
Questions to the Panel of Speakers
16:40
Closing Remarks from the Conference Chair
16:45
Conference Closes

Please note:
Whitehall Media reserve the right to change the programme without prior notice.