Data Leaders Summit Europe 2020
October 2021
TBD
+44 (0) 207 368 9850
Main Day 2- 18/10/2018
8:00 am - 8:45 am Registration And Networking Coffee
8:45 am - 8:50 am Chairperson’s Opening Remarks
8:50 am - 9:10 am Board Keynote: Deep Impact: Hard Lessons for Complex Problems
- How can you work outside of your immediate remit to engage the wider business leadership team to broaden the framework for analytics in-house?
- Breaking down barriers to insight: How can you best communicate the cross-functional advantages of a data-driven business model to onboard data advocates and help unlock the full value of your data sets?
- Creating analytically enabled departments: How can you best position your data science teams within the company to be truly embedded within the business and boost bottom line?
- How can you best evangelise data to bring the wider business on a data journey and move your corporate analytics to the next level?
9:10 am - 9:45 am Morning Panel Discussion: How can you best define your companies’ data requirements to determine the most effective structure for your data science function and create innovative data products that fuel business growth?
Dr Maryam Ramezani-Bartsch - Head of digital advanced analytics’ Adidas Stefan Maczkowski - Head of Data Strategy Aviva- How can you best organise your analytics function to support and drive decision-making processes andfully deliver on the value from your data sets?
- How can you better bridge the gap between your data science and engineering teams to ensure synergy between departments and drive faster results?
- Matching your analytics team and tool-set: How can you select appropriate analytics technology to empower your people with the tool kit they need to succeed?
- How can you best mentor your data science division on wider company goals to get them business ready and deliver on stakeholder requirements?
Stefan Maczkowski
Head of Data StrategyAviva
9:45 am - 10:05 am Innovation Keynote: Succeeding in the age of artificial intelligence: How to get machine learning out of the lab and scale it across the enterprise to drive greater business value in your all core company processes
Alexander Borek - Global Head of Data Analytics Volkswagen Financial Services- Learn about the organisational implications for scaling data science and machine learning to the heart of the enterprise
- Understand the role of business intelligence, data management and data architecture in the business transformation
- Hear about good practices and strategies for managing the organisational and technological change process towards an AI driven enterprise
10:05 am - 10:35 am Guest Speaker: Secrets to succeeding at change management: What I learned from working with David Beckham, Frank Williams and the European rider cup team about building winning relationships
- How can you align the benefits of data adoption with department goals to increase engagement and boost confidence in self-serve analytics?
- How to paint the picture of the competitive advantages of data-driven business to ignite enthusiasm around new projects and further infiltrate analytics into core company processes
- Broadening your leadership skillset: How can you create a persuasive narrative to successfully sell the value proposition of analytics to the wider business and initiate a cultural shift towards a data-first?
10:35 am - 11:00 am Morning Networking Break
11:00 am - 11:20 am Futuristic Case Study: How to build new business models from big data and AI to create profitable data products and catapult company growth
David Gonzalez Martinez - Head of Big Data Analytics & AI Vodafone Group- How to create dedicated analytics functions to enable you to deliver on data products as a service for the enterprise business
- Changing the game with data products: How can you effectively stream company data in a secure and compliance approach to create commercial analytics products and effectively monetise them to the wider market?
- How can you enhance current company services with new functionalities driven by big data to provide greater value for your customer base?
- How can you educate the wider organisation to see data as a true asset and ensure proper internal handling to ensure your end products are accurate and actionable?
11:20 am - 11:40 am Inspirational Keynote: How Sky drive £Xm incremental value via AI & ML methodologies: How to transform sales, retention and service to catapult company revenue
Rob Mclaughlin - Head of Digital Analytics & Decisioning Sky
11:40 am - 12:10 pm Panel Discussion: Showcasing measurable impact of data-driven insights: How can you consistently demonstrate analytics value-add to the business and secure the support you need to excel in current and future projects?
Javier Campos - General Manager Experian UK&I and EMEA Data Labs. Stefan Maczkowski - Head of Data Strategy AvivaProving commercial value: How you effectively ‘sell’ analytics to the board whilst managing expectations to define realistic results that data can drive for the business?
- Stakeholder management: How can you best retain engagement from the leadership team to ensure the value in data and analytics is spread across the business and ensure future backing for your analytics hub?
- What is the best approach to securing funding for data projects to embed analytics further within the business and ensure the maturation of analytics as a core business function?
- How can you best demonstrate previous data-driven wins to secure future investment for experimentation with analytics?
Stefan Maczkowski
Head of Data StrategyAviva
12:10 pm - 12:30 pm Case Study: How can you leverage big data to predict future market trends and package these insights to turn your data hub into a profit center?
- How to best work with your analytics function to create multiple data products and boost the business bottom line
- How can you best engage with the wider business to demonstrate the financial value of data-driven insights and maximize profitability?
- How can you streamline your technology, people and processes to optimise the intelligence in your data sets and increase it’s financial value?
12:30 pm - 12:50 pm Innovation Interview: Driving company revenue with data initiatives: How to create new revenue streams from your data assets to fuel company growth and boost market share
Eric Tryee - Chief Data Scientist Carlson Wagonlit Travel- Products vs Services: What is the best approach when exploring how to turn your data-driven assets and insight into fresh company revenue?
- How to successfully leverage and collaborate with other corporate functions to enable you to deliver on data products as a service for the business and your company clients
- How can you effectively communicate the critical role of data in achieving current and future commercial goals across your wider organisation
- How can you set-up your analytics infrastructure to enable you to repurpose insight generation and prepare your data assets as a company product?
12:50 pm - 1:45 pm Networking Lunch
Amplifying Actionable Insights
Driving Deeper Customer Insights
1:45 pm - 2:30 pm Case Study Interactive: How can you build a framework for digital analytics to analyse the effectiveness of your marketing campaigns and improve the customer value proposition at every touchpoint? Dr Maryam Ramezani-Bartsch - Head of digital advanced analytics’ Adidas- How can you build a framework for digital analytics to analyze the effectiveness of your marketing campaigns at every touchpoint?
- How can you better understand customer behavior with deeper insights driven by machine learning models ?
- How can you succeed in hyper-targeting your customer campaigns to boost the digital experience and increase brand loyalty?
- Advancing your traditional marketing processes: How can you apply machine learning to consumer marketing to develop self-optimsing campaigns in line with changing customer behavior and improve marketing spend efficiencies?
Driving Deeper Customer Insights
2:30 pm - 3:15 pm Case Study Interactive: Data Governance On Big Data Stijn Christiaens - Co-Founder and CTO CollibraIf we can easily shop for books online, how, in a business context, can it become easier for users to shop – find, understand and trust - for data within an organisation?
Driving Deeper Customer Insights
3:15 pm - 3:45 pm Afternoon Networking BreakAchieving Data-Driven Business Transformation
1:45 pm - 2:30 pm Better enterprise performance management through applied AI Pierre Elisseeff - Co-Founder and COO Appli- How can you align the benefits of data adoption with department goals to increase engagement and boost confidence in self-serve analytics?
- How to paint the picture of the competitive advantages of data-driven business to ignite enthusiasm around new projects and further infiltrate analytics into core company processes
- Broadening your leadership skillset: How can you create a persuasive narrative to successfully sell the value proposition of analytics to the wider business and initiate a cultural shift towards a data-first?
- How can you best train your data team to boost the influence they have in their collaborations with other business units?
Pierre Elisseeff
Co-Founder and COOAppli
Achieving Data-Driven Business Transformation
2:30 pm - 3:15 pm Case Study Interactive: Enabling augmented decision-making: How can you implement machine learning to cut the timeframe from insight to action and provide stakeholders with the intelligence they need to reduce risk and prospect new opportunities?- Operating with advanced analytics in a regulated market: How can you identify the most appropriate applications for machine learning within your data life cycle to gain the full benefits of automated analytics within a well governed framework?
- Transforming process efficiencies: How can you leverage machine learning to reduce the data scientist workload and serve the business with actionable insights at pace?
- What does the increasing use and sophistication of machine learning mean for the future role of the data sciences in providing data-based advisory to the business?
Achieving Data-Driven Business Transformation
3:15 pm - 3:45 pm Afternoon Networking BreakOptimising your Data Ecosystem
1:45 pm - 3:15 pm Synergy Workshop: Security in an AI driven environment: Understanding the unique risks and challenges of crafting secure AI products Calvin Seward - Research Data Scientist Zalando- Protecting against data extraction: How can you preventing malicious users from obtaining sensitive data through customer facing AI products
- How to minimize the risk that malicious input can trick your AI into making an incorrect decision
- How to prevent attackers from poisoning your AI with fake data by ensuring the legitimacy of data
- Influencing company culture: How can you put risk assessment on the top of the agenda at each point of your AI strategy?
Optimising your Data Ecosystem
3:15 pm - 3:45 pm Afternoon Networking BreakDeveloping Top Talent
1:45 pm - 3:15 pm Women In Data Leadership Workshop: How can the data analytics industry better attract, develop and retain top female talent? Payal Jain - Director, Existing Customer Management Vanquis Bank & Chair Roisin McCarthy - Co-Founder Women in Data UK- This interactive session gives women in the data insights industry the opportunity to discuss how to best eliminate gender related barriers and successfully climb the corporate ladder.
- The session is limited to a maximum of 30 delegates to promote an open and interactive discussion.
Developing Top Talent
3:15 pm - 3:45 pm Afternoon Networking Break3:45 pm - 4:05 pm Inspirational Case Study: Identifying, testing and getting buy-in for new data science products: Case studies from Uber’s applied behavioural science team
Totte Harinen - Senior Data Scientist Uber- How can you work with live customer data generated from IoT devices to provide the business with real-time insights into product usage?
- How can you best work with data streams from customer devices to effectively push product information and feedback out to the wider business?
- How can you apply data visualization to intelligence from IoT devices to showcase product usage to the wider business and identify opportunities for improvement?
- How can you capitalise on customer data generated from connected devices to help drive innovation for future products and services?
4:05 pm - 4:45 pm Panel Revolution: What role will the continued growth and sophistication of AI play in shaping the future of our society and how can we prepare for unintended consequences?
Dr Detlef Nauck - Chief Research Scientist, Data Science BT- Deploying AI responsibly: What are the key ethical considerations when deploying AI and how can you identify the best applications for automated analytics?
- Building honest AI: How can you best eradiate innate human bias when training AI systems to enable future learning without preconceptions?
- Transforming the workplace with analytics: How will the emergence of AI in the enterprise impact the human workforce and how will machine and human collaboration continue to evolve?
- How can the data science community drive greater diversity across the industry to actively counteract bias within AI systems?
