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Live Agenda

BDA 2020 – VIRTUALCONFEX – The Live Virtual Summit will feature a mix of keynotes, panel discussions and covering Big Data and Disruptive Innovation so join us live if you can!

Be sure to check back as we enhance the agenda to ensure you have the most up-to-date information. We look forward to your participation in BDA 2020 VIRTUALCONFEX.

Registered users can view the keynote, watch recorded sessions, and access other valuable content on-demand. Participants can also connect with peers and experts to ask questions, share insights, and get the most from the leaders in the industry

All sessions will be available on-demand after, so you won’t miss anything. Session times are subject to change.

12 Noon day prior to event
Virtual Platform opens for browsing
  • Set up your networking profile
  • Set appointments
  • Familiarise yourself with event layout and select which sessions you wish to view

Live Stream On Demand

08:00
virtual summit opens for networking
  • Browse stands
  • Set appointments
  • Watch online demos in networking area
online session one

ONLINE SESSION ONE

Live Stream On Demand

09.15
Conference Chair’s Opening Address

David Terrar, Director & Chair, Cloud Industry Forum


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09.30
Transformation through the convergence of data, technology and talent

Lauren Walker, Chief Operating Officer & Chief Data Officer EMEA, Dentsu Aegis Network


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What are the practicalities of delivering on the ambition of customer experience nirvana powered by data?  This question can be answered by sharing lessons learned through a series of career experiences driving business transformation through data & tech & a shared strategy.

Ultimately those who are thriving in this new global digital economy are those turning information into a competitive advantage.  It requires more than just technology to get there.  It is an evolution which requires a change in perspective, new roles and change agents at many levels of your organization.

  • Using the right lens. So, we’ll explore your unique data lens
  • Recognizing the data defence and the data offensive strategies and how they co-exist
  • Teaching teams to look at data not only as a technical matter but a business matter
  • Having the right team and sponsorship
09:45
Building and Running a Lean Data Platform at Moonpig

Gordon Pretorius, VP Engineering, Moonpig

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Neil Sheppard, Head of Engineering, Moonpig

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This session will explore how we built and run a feature-rich, lean data platform and how it’s transformed the way we use and think about the value of data using Snowflake and Fivetran.

10:00
Privacy, Security, and Bias in analysis of Big Data Sets

Dr Louise Bennett, Co-Chair, Privacy and Consumer Advisory Group; Director, Digital Policy Alliance


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This talk will consider the key learning points from experience of data analytics over the last 50 years covering:

  • Analytic objectives
  • Data quality and relevance
  • The analyst’s understanding of their data
  • The confusion between correlation and causation
  • Analysis that grows like Topsy
  • Understanding bias
10:15
Questions to the speakers
10:30
sessions break for networking
  • Browse stands
  • Set appointments
  • Watch online demos in networking area
online session two

ONLINE SESSION TWO

Live Stream On Demand

10:45
Welcome to session two

David Terrar, Director & Chair, Cloud Industry Forum


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10:50
The Future of Work in the age of AI

Dr George Zarkadakis, Digital Lead, Willis Towers Watson


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AI is already impacting the workplace and transforming jobs.

In this presentation, George will share data and insights from working together with companies across several industries as they adopt cognitive automation systems in their processes, and explore the challenges, risks and opportunities that AI brings in the workplace; as well as how business leaders should reimagine their business organization and culture.

11:05
Moving from concept to reality: actionable AI

Huma Lodhi, Data Scientist, BP


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One of the key stumbling blocks to translating data into actionable intelligence is the lack of company-wide access to, and interaction with, data sets. This, in turn, leads to the failure of AI-led initiatives as data usage is not utilised to its maximum extent, leaving many to feel that reality has not met the hype.

Whether you are a data mechanic, driver or passenger, this talk will help you better understand how best to approach data integration and relation in order to produce actionable intelligence

11:20
Data collection: the cornerstone of the data architecture at Unsplash

Timothy Carbone, Data Engineer, Unsplash


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Often overlooked, data collection is the most important step in the data pipeline. It’s not only about accumulating potential value, the decisions made when setting up data collection have an impact all along the rest of the pipeline. Discover how Unsplash, the internet’s largest library of freely usable photos, built its data architecture.

With a very small data team, Unsplash is leveraging Snowplow to collect quality data, ensuring data ownership and solving common data issues before the data even gets to the storage. This talk will explain the thought process behind the data architecture development at Unsplash.

We’ll see how a single engineer, with the right tools, can collect terabytes of data and deliver actionable information for BI, customer reporting and product features.

11:35
Questions To The Panel Of Speakers
11.45
Sessions break for networking
online session three

ONLINE SESSION THREE

Live Stream On Demand

12:00
Welcome to session three

David Terrar, Director & Chair, Cloud Industry Forum


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12:05
Case study: unleashing the power of customer analytics

Peter Revill, Data Scientist, formerly comparethemarket.com


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Customer analytics is one of the principal drivers of big data analytics adoption. Yet, the sheer variety of potential opportunities and applications to deliver excellent customer experience is overwhelming.

We look at:

  • Key trends and best practices in customer analytics
  • Personalisation and customer journey analytics
  • How partnering with service providers can help you mature your customer analytics
  • Adapting tools and strategies to fit your business (e.g. supply chain and merchandising applications, chatbots, CDP)
  • Whether Customer 360 view is only a utopian panacea
12:20
Data as a Business Differentiator: Collaboration between Finworks and Star Outico

Callum Green, Business Insights and Solutions Architect, Star Outico


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Finworks builds big data software with people for people.  We recognise that unlocking data possibilities involves the rapid collection, management and analysis of quality data to bring revenue-generating insights.

What has always set Finworks apart is our vision – and ability – to create solutions that allows data to become a business differentiator.

Finworks has partnered with Star Outico to provide an enterprise-grade platform to transform the way business insights are achieved through big data analysis and presentation. The presentation will cover:

  • The partnership approach to create an end-to-end solution
  • Competitive advantage of an enriched data store by volume and variety of data
  • Benefits of the big data solution
  • Future plans for continued differentiation
12:35
BUILDING A ‘GREENFIELD’ DATA CAPABILITY AT APETITO

Sudesh Jog, Head of Analytics, Apetito

speaker sudesh jog
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Over the course of three years, Sudesh built the data function at Apetito from scratch.

Based in Wiltshire, Apetito provides nutritious meals for people at home or in hospitals or care homes. The business has rich customer data but was not leveraging the opportunity that this data represented.

In his presentation, Sudesh will talk about the journey of getting data to the heart of strategic decision making at Apetito and will also share his experience and insights about-

  • Developing a data-centric culture
  • Getting the buy-in for investment in data
  • Building the team
  • Evolving the technology infrastructure
12.50
Questions to the Panel of Speakers
13:00
sessions break for networking
  • Browse stands
  • Set appointments
  • Watch online demos in networking area
online session four

ONLINE SESSION FOUR

 

13.30
Seminar Sessions A-C

To view the Seminar topics see the CLICK HERE to visit the Seminars page

Delegates can choose to attend one session ‘live’ then view the reminder on demand post event

 

Live Stream On Demand

14:15
SESSIONS BREAK FOR NETWORKING
  • Browse stands
  • Set appointments
  • Watch online demos in networking area
online session five

ONLINE SESSION FIVE

 

14:30
seminar sessions D-F

To view the Seminar topics see the CLICK HERE to visit the Seminars page

Delegates can choose to attend one session ‘live’ then view the reminder on demand post event

 

Live Stream On Demand

15:15
sessions break for networking
  • Browse stands
  • Set appointments
  • Watch online demos in networking area
online session six

ONLINE SESSION SIX

Live Stream On Demand

15:30
Welcome to session six

David Terrar, Director & Chair, Cloud Industry Forum


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15:35
Towards organizational guidelines for the responsible use of AI

Dr. Richard Benjamins, Chief AI & Data Strategist, Telefonica


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  • Why do organizations need ethical principles of AI?
  • How to select your organization’s AI principles?
  • How to implement the principles in your organization as business as usual
15:50
AI Powered Demand Forecasting with the Efficacy of Azure Data Lake and SAP

Łukasz Dylewski, Data Science and Artificial Intelligence Manager, Lingaro


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Marcin Walków, Azure and Big Data Manager, Lingaro


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  • The presentation will address and decompose the demand modeling problem.
  • Starting from the business objectives, it will compare and discuss modern analytical solutions – aiming to understand, and as a result predict, the behavior of customers.
  • The models require data integration and having Azure and SAP integrated does not have to be hard and painful.
  • Utilizing native components, the process can be fast and effective, enabling to run analysis on your BW/4HANA data in the scalable Cloud infrastructure.
16:05
Responsibility and transparency in recommendation engines

Richard Bownes, Data Scientist, BBC

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Recommendation engines are built into consumption platforms to improve engagement, increase profits, click through, journey length, viewing duration, etc. In order to make personal recommendations more targeted, these often require some degree of personal information.

At the BBC Datalab, as a public service entity, we have a responsibility to use this data efficiently, transparently and always legally compliantly. Further complicating our mission, we have editorial obligations and considerations in the content we surface.

  • Public service recommendations have a different set of parameters to adhere to
  • A balance between editorial standards, privacy considerations and good recommendations
  • Maintaining a level of trust and transparency while surfacing personally generated recommendations
16:20
Closing Address from the Conference Chair

David Terrar, Director and Deputy Chair, Cloud Industry Forum


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16:30
Virtual Summit Closes

Site remains open for 1 month post event

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