Big Data Analytics 2020

VIRTUALCONFEX

5 November 2020

VIRTUALCONFEX

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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.

24 Hours pre 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
09.30
Conference Chair’s Opening Address

David Terrar, Director and Deputy Chair, Cloud Industry Forum

09.40
Transformation through the convergence of data, technology and talent

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

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
10:00
CREATING A DATA-DRIVEN CULTURE

Siloed traditional models, inability to understand the immense amount of data, borderline Data IQ offices are growing issues. There is an increasing need for data and analytics leaders to follow the example of English as a second language and treat information as the new second language for business.

  • Data Dexterity – Identifying language gaps and establishing an ISL proof of concept for language development
  • How can leaders (e.g. CDO) become the boosters of curiosity and critical thinking in the workforce
  • How to create office spaces that take advantage of the potential of a data-driven workplace
  • Making data accessible across the enterprise, integrating your data across siloed functions
  • Establishing connections between your data and business objectives
  • Using data to help make informed decisions
10:15
Privacy, Security, and Bias in analysis of Big Data Sets

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

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
10:30
sessions break for networking
  • Browse stands
  • Set appointments
  • Watch online demos in networking area
online session two
10.45
FROM SPARK TO TENSORFLOW, HOW TO BUILD AN END TO END ML PIPELINE?

Florian Dejax, Data Scientist – Assistant Vice President, Barclaycard

  • Use Spark / Tensorflow to complete some stages in an ML workflow
  • Integrating seamlessly Spark and TensorFlow
  • Use multi GPU to train a deep learning model at scale
11:00
Understanding the ROPO effect to drive omnichannel experiences

Michel Brok, Head of Digital, Danone

  • What is the online behaviour that leads to offline sales?
  • What data sources to use to connect on & offline world
  • Setup for the right data architecture
  • Driving results with creating connected consumer journeys
11:15
Questions To The Panel Of Speakers
11.25
Sessions break for networking
online session three
11.40
Case study: unleashing the power of customer analytics

Peter Revill, Data Scientist, comparethemarket.com

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
11.55
BUILDING A ‘GREENFIELD’ DATA CAPABILITY AT APETITO

Sudesh Jog, Head of Analytics, Apetito

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
12:10
FROM SPARK TO TENSORFLOW, HOW TO BUILD AN END TO END ML PIPELINE?

Florian Dejax, Data Scientist – Assistant Vice President, Barclaycard

• Use Spark / Tensorflow to complete some stages in a ML workflow
• Integrating seamlessly Spark and TensorFlow
• Use multi GPU to train a deep learning model at scale

12.25
Questions to the Panel of Speakers
12:30
sessions break for networking
  • Browse stands
  • Set appointments
  • Watch online demos in networking area
online session four
13.15
Seminar Sessions A-D

(To view topics see the seminars page)

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

14:00
SESSIONS BREAK FOR NETWORKING
  • Browse stands
  • Set appointments
  • Watch online demos in networking area
online session five
14:15
seminar sessions E-H

(To view topics see the seminars page)

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

15:00
sessions break for networking
  • Browse stands
  • Set appointments
  • Watch online demos in networking area
online session six
15:15
Use AI to Improve Penetration Testing

The most effective penetration testing methods combine threat intelligence, vulnerability scanning, and human expertise to validate the criticality of vulnerabilities through simulated attacks on an IT environment.

We explore the value of software Integrity testing and implementing and coding security into every aspect of the AI life cycle, looking at how AI can improve pen-testing.

15:30
Responsibility and transparency in recommendation engines

Richard Bownes, Data Scientist, BBC

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
15:45
Applied data science panel discussion

To what extent is data science a “science” to be taught vs. a craft to be practised?

Richard Bownes, Data Scientist, BBC

Rui Hua, Data Scientist, Aberdeen Standard Investments

Florian Dejax, Data Scientist – Assistant Vice President, Barclaycard

Peter Revill, Data Scientist, comparethemarket.com

16:15
Closing Address from the Conference Chair

David Terrar, Director and Deputy Chair, Cloud Industry Forum

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.