Data & Analytics Live: Europe

Keynote Presentation: No Governance? No Democracy! – Building the Foundations of Becoming Data Driven Within Your Organisation

• Ensuring data democratisation with strong, but streamlined, data governance.
• When is precision precise enough? Found your data governance on understanding what level of accuracy you require from your data.
• What are the governance strategies that you need to overcome in order to become truly data driven?
• Enable innovation by using strong governance controls to give you high quality data insights.
• Making sure that your foundations are use case driven.

• Inside every company is a hidden data economy. But because there are no market prices for data inside a single firm, most executives don't think of it this way. They should.
• Seeing enterprise data creation, use, and management in terms of supply, demand, and transaction costs will enable companies to compete more effectively on data. In this session learn to see the data economy hiding in your company and hear Oracle's vision for helping you get the most out of it.

Mike Connaughton, Head of Analytics & Big Data, EMEA, Oracle

Panel Discussion: Don’t Jump the Gun: Why Great Foundations are a MUST When Scaling Your Data Programmes

• Appropriately fortify your foundations so you can scale your business operations for fast flowing data.
• Enable greater business insights to connect legacy infrastructures that bridge data silos.
• Maximise scalability in your data programmes, creating governance strategies that minimize disruptions.

Speed-Networking Session

Hiek Van der Scheer, Chief Analytics Officer, Aegon
Nirali Patel, Director of Data Analytics, Openreach
Manuel De Francisco, Global Head of Analytics, eBay Classifieds Group
Bram Nauts, Chief Architect & Data Management, ABN AMRO

Employing Machine Learning and Data Science to drive Data Curation

• Optimise the return from Data Catalogue investments and accelerate Data Governance programs.
• How to utilise Deep Learning Neural Network, Fuzzy and Graph Mathematics to drive high fidelity data discovery
• Automating the extraction of business, operational and technical metadata
• Data Curation providing data context for the Data Catalogue and Business Glossary
• Unload the Cataloguing burden from Data Stewards, reduce error, increase automation and prove higher return, and increase speed for all Catalogue deployments

Darren Gale, VP EMEA & AsiaPac, BigID

Panel Discussion: Learning to Love the Machine: Mythbusting, Building Trust and Managing Expectations of AI Benefits

• What are the different challenges when seeking to exploit AI benefits in different industries?
• Customer maturity spectrum: between AI experts & newbies?
• Eliminate worker misconceptions about the processes of AI by providing pilot schemes and proof-of-concepts.
• Develop once, sell it 1,000,000 times: Scaling from an algorithmic perspective.
• What are the key challenges when creating a trusting culture of AI across business areas?

Networking Break | Invitation-Only Virtual Roundtable

• Innovate and accelerate your ability to turn data into insights
• Use data science principles and advanced analytics to reimagine decision making
• Establish consistency of data-driven insights across the global enterprise
• Promote data literacy among the workforce

Breakout Presentation 1: Data Literacy as the Key to a Data Driven Organisation

• Investing in data literacy to enable informed decision making.
• Achieve a data driven culture through data literacy.
• Upskill your non-data workforce by deploying data literacy initiatives.
• Discover the key tools for implementing a data literacy workforce level-up.
• How to measure the efficiency benefits of data literacy initiatives?

• Affirm a data driven culture with the data stewardship approach requiring everyone has responsibility for data privacy with technology.
• Discover the technology platforms to support this undertaking.
• Provide top-down controls and guardrails so line-of-business teams closest to the data will be responsible for access management.

Breakout Presentation 1: How to Upskill to become a Data-First Organisation that Thrives

• Join Coursera as we shine a light on the need to re-evaluate the skills businesses require to support digital transformation programmes being driven by data leaders today and how they need to prepare for the future trends that will upskill and reskill the workforce to future proof their business.
• Discuss how important it is to build a data-first culture that will drive positive business outcomes.

Duncan Dunlop, UK Enterprise Lead, Coursera

Breakout Presentation 2: Becoming a Data-Enabled Organisation

• The number of CDOs and top data and analytics leaders continues to grow globally
• While early leaders were focused on regulation and compliance, today's CDOs are positioned to create data-informed, data literate organizations and use data to accelerate both compliance and innovation
• This session, led by Collibra’s Co-Founder and Chief Data Citizen, Stijn Christians, will focus on how organizations have built data literate cultures and increased the value and meaning of their data to fuel growth, innovation and agility
• Join this session to learn more about how to define Data Literacy, how to assess it in your part of the organization, and obtain ideas on how to bake it into the culture (without going overboard)

Stijn Christiaens, Co-Founder & Chief Data Citizen, Collibra

Networking Break | Speaker Meet & Greet

Thierry Grima, Group Chief Analytics Officer, ENGIE
Henning Ochsenfeld, Head of Industrial AI, Siemens
Natalia Lyarskaya, Chief Data Officer, Zestmoney
Maria Tarasidou, Data & Analytics Principal Director, du Telecom
Anwar Mirza, Data Strategy & Governance, FedEx Express
Stijn Christiaens, Co-Founder & Chief Data Citizen, Collibra

Panel Discussion: Maximising Value from Your AI Strategy: Creating Reliable and Scalable Models

• Align technological capabilities with your wider organisational objectives.
• Bring maturity to your AI strategy moving from investments in an ‘unknown’ to a ‘benefits-centric’ approach?
• How to discover where the most efficient places for AI application in your organisation are.
• Build on pockets of success to deploy at scale.
• What changes in adapting and applying AI models have been brought about by COVID-19?

David Langton, VP of Product, Matillion
Sébastien Foucaud, Chief Data Officer, HRS 
Richard Benjamins, Chief AI & Data Strategist, Telefonica
Susan Wegner, VP AI & Data Analytics, Lufthansa Industry Solutions

Virtual Roundtable 1A: Data Avengers Assemble: Building a Great Team

• Look for the long term – How to balance technical ability with business acumen.
• Learn the value of bringing in people who can make their knowledge accessible and level up the whole team.
• How should skills and talents be distributed amongst team members?

Luca Giordano, Head Data Governance, Intesa Sanpaolo 
Premal Desai, Head of Data & AI, The Gym Group
Laura Varsandan, Global Head of Analytics, Gett

Virtual Roundtable 1B: What Can Organisations do to Attract, Hire and Retain People of Colour?

• What can organisations do to attract more People of Colour?
• How to demystify the world of data to increase the volume of People of Colour entering a career in data?
• What needs to change in the hiring process to support diverse candidates?
• In what ways do you feel organisations could do more to make People of Colour feel more accepted in the workplace and ultimately increase retention?
• What is the role of mentoring and sponsorship can play in increasing the retention rate of People of Colour in the data industry?

Sadiqah Musa, Co-Founder & CEO, Black in Data
Devina Nembhard, Co-Founder, Black in Data
Edosa Odaro, Head of Data, AIG

Virtual Roundtable 1C: Overcoming the Struggle to Demonstrate the Impact of Data & Analytics

• How can data analytics leaders prioritise where to cut back and where to target investment?
• Doubling down on a robust and prominent role for data analytics in your organisation.
• A guide for all weathers: maximise the use-value of predictive analytics to uncover where opportunities for growth lie.

Daniel Knüsli, Head of Analytics Solutions, Swiss ReInsurance
Niladri Dutta, Head of Data Strategy & Execution, Ericsson
Tonia Sideri, Head of Analytics & AI, Novo Nordisk

Happy Hour | Speaker Meet & Greet

Sébastien Foucaud, Chief Data Officer, HRS
Richard Benjamins, Chief AI & Data Strategist, Telefonica
Susan Wegner, VP AI & Data Analytics, Lufthansa Industry Solutions
Luca Giordano, Head Data Governance, Intesa Sanpaolo
Premal Desai, Head of Data & AI, The Gym Group
Laura Varsandan, Global Head of Analytics, Gett
Sadiqah Musa, Co-Founder & CEO, Black in Data
Devina Nembhard, Co-Founder, Black in Data
Daniel Knüsli, Head of Analytics Solutions, Swiss ReInsurance
Niladri Dutta, Head of Data Strategy & Execution, Ericsson
Tonia Sideri, Head of Analytics & AI, Novo Nordisk

Keynote Presentation
Accelerate the Value of Your Data and Drive its Monetization

• How to keep your executive management engaged on the value possibilities of their data?
• Understand data as a raw material: this is not a degradable commodity!
• What does success look like when marrying people with process in your data transformation strategy?
• Action a vision to upgrade global data analytics capabilities and platforms.

• When it comes to AI and ML initiatives, build capabilities progressively—and don’t leave your business users behind
• Business users need data. Data lies at the heart of every decision. They need analytics to help them understand it. So, where does AI fit in?
• Despite all the talk of AI and ML, there are very real hurdles to the adoption of advanced analytics technologies, especially at organizations with sizable data investments and tricky business challenges.
• Simply put many organizations lack the data governance controls for many AI and ML projects to make it past the experimental stage, or the tools to give everyday users the ability to collaborate with more advanced users.
• How do we attack the challenge and gradually integrate advanced analytics into traditional analytics workflow?
• In this session we explore how we can breed confidence in the user base, allowing ingenuity to flourish, safely, by equipping business users with smart, AI-assisted analytics that encourage familiarity and confidence, so a data-driven, problem-solving culture is more likely to emerge.

Rob Cowell, Principal Technologist, Pyramid Analytics

Panel Discussion: How Can You Master Creating an Agile and Secure Cloud for your Data Storage?

• Avoid compromising data integrity with having a plan to address security concerns for your cloud data
• How can you move your data to a cloud space in a centralized and structured way?
• Maximising cloud capabilities so the right data gets to the right people, at the right time

Muhammad Saleem, Head of Data Architecture, BAE Systems Applied Intelligence
Anna Baecklund, Head of Data Science, ICA

Speed-Networking Session

Nick Blewden, Head of Data Product Development, Lloyds of London
Christian Koblmiller, Chief Data Officer, International Committee of the Red Cross
Muhammad Saleem, Head of Data Architecture, BAE Systems Applied Intelligence
Anna Baecklund, Head of Data Science, ICA Gruppen

Panel Discussion: Optimising Customer Experience Beyond Data

• Generate, make use of, and gain value by taking your data to the next level in optimising CX
• Ensure the foundations of your data ecosystem are strong in order to get maximum value for your data.
• How to remove friction between data silos and develop a full view of the customer?
• Effectively use data to increase customer retention, effectively upsell and build brand loyalty.

Breakout Presentation 1: Creating A Governance Strategy for Machine Learning Deployment

• How to ensure you have a data ecosystem ready for large scale machine learning deployment.
• Move beyond use-cases: Turn your focus from technical to practical deployment.
• See day-to-day increases in cross-business productivity by generating an ML development and implementation roadmap.
• Learn the skills and processes required to deploy machine learning and the likely impacts this will have on existing infrastructures.

Raffaele Lillo, Chief Data Officer, AXA Italia 

• What is the data analytics value chain and what can it add to your data function?
• Uncover two key ways to unlock the data analytics value chain, organic vs. investment
• Why do successful data science teams need more than just data scientists to be effective in delivering ROI?
• What should the data village/data analytics value chain look like?

Networking Break | Invitation Only Virtual Roundtable

• What considerations do you need to take when fostering a culture of data sharing?
• What are your greatest challenges and areas for improvements?
• Join the discussion with your peers and data provisioning experts to discuss this hot topic and learn what processes and tools have been successful for others

Nicolas Dard, Director of Product Management, Privitar

Panel Discussion: Using Data Science to Deliver Fantastic End-To-End Personalisation

• Better serving the customer by understanding the evolution of consumer patterns.
• What are the key touchpoints in customer journey’s for collecting data?
• How to use predictive analytics and consumer data to properly inform marketing strategy.

How Active Data Governance Unlocks Valuable Insights and Creates Efficiencies

Active data governance gives organizations a competitive edge. Properly governed data leads to better data quality, increased data intelligence and more trusted data. In this session, we'll highlight how data governance provides valuable insights about your data, helping to create greater efficiencies across your entire organization.

• Use data governance to create a fabric of trust between customers, third parties and stakeholders and gain tangible business value
• Lay the groundwork for good governance with an AI-powered data catalogue, providing insights into the origin, use and format of your data
• Leverage automation to minimise the manual effort behind layering business context on top of technical metadata
• Derive greater business value from a data eco system with practical governance policies

Networking Break | Speaker Meet & Greet

Francisco José Montalvo, Chief Data Officer, Telefonica
Javier Donoso Rebuelta, Global Head of Data Insights & CRM, BBVA
Johanna Sarviharju, Chief Experience Officer and Member of Group Leadership Team, Reima
Raffaele Lillo, Chief Data Officer, AXA Italia
Jack Lampka, Head of Data, MSD
Maria Requeman Fontecha, Head of Data Science & Innovation, Credit-Suisse
Sid Shah, Global Head of Analytics & Insights, Conde Nast

Virtual Roundtable 2A: Maintaining Data Quality to Maximise Value from Your Data

• Building a foundational roadmap for maximum data value.
• How to work out the value of the raw data you are harvesting.
• How can you balance getting the most value out of your data whilst maintaining ethical data privacy standards?
• Turn market disruptions to your advantage, by identifying opportunities to expand a data-driven business.

Ole Busk Poulsen, Head of Data Governance & Information Architecture, Nordea
Camilla Björkqvist, Global Data Analytics Transformation Director, Danone
Vipul Parmar, Global Head of Data Management, WPP
Brian Mearns, Senior Product Manager, Collibra

Virtual Roundtable 2B: How Do We Govern Data Democratisation?

• What are the mechanisms that you need for democratisation?
• Align people and technology to achieve the cultural change that comes with data democratisation.
• How do you provide the right solutions to people who are not yet data literate?
• Level up your organisation by uncovering the toolsets to train for data democratisation.

Jerome Vandenbesselaer, Chief Data Officer, SGS
Victor Azria, Director of Data, JCDecaux
Unai Obieta Jimenez, Chief Data Officer, The Adecco Group
Minna Kärhä, Data Strategist Consultant

Virtual Roundtable 2C: Unlocking the Real Possibilities for ROI Using Data Analytics

• What is the value of the raw data you are harvesting in relation to achieving your entrepreneurial objectives as an organisation?
• Using data to cut costs in finance, operations, sales and other business areas.
• Mobilise data analytics to optimise budgeting and forecasting, improve processes and drive efficiencies.

Happy Hour Speaker Meet & Greet

Ole Busk Poulsen, Head of Data Governance & Information Architecture, Nordea
Camilla Björkqvist, Global Data Analytics Transformation Director, Danone
Vipul Parmar, Global Head of Data Management, WPP
Brian Mearns, Senior Product Manager, Collibra
Jerome Vandenbesselaer, Chief Data Officer, SGS
Victor Azria, Director of Data, JCDecaux
Unai Obieta Jimenez, Chief Data Officer, The Adecco Group
Minna Kärhä, Data Strategist Consultant
Dr. Louise Maynard-Atem, Data Insights Lead, GB Group
Eddie Short, Chief Data & Analytics Officer, Telefonica UK
Manuel De Francisco, Global Head of Analytics, eBay Classifieds Group