Day 2: Cross-Industry schedule

• Explore the challenges to analytics democratization, what you need to do to successfully democratize. 
• Understand the analytics capabilities you need to close the skills gap and empower data-driven decisions across your entire business. 
• Discuss where your organization is on your analytic maturity journey and see where you rank amongst your peers. 

 

• An examination of the NHS’s journey of self-service, where healthcare data has been used as an enable to support faster diagnosis, commissioning decisions and strategic planning. This is not the remit of a specialist group; to achieve this it needs to be federated.  
• A discussion of how to establish what self-service truly looks like, via the use of central teams, and how this can be driven by the support of new technologies (e.g., AI, ML).  
• This session will also cover how you can enable your organisation to see data as a product, to run core services as enablement. The professionalisation of the workforce will underpin growing the workforce, improving professional standards and developing tooling that effectively supports the organisation from the front line up. But, to do this, you need to train the right people and embed them right back into the business.    

• Learn how Monsoon transformed Enterprise Analytics
• Hear the impact it had for the business and the customer experience
• How Monsoon and Exasol are looking to the future and continuous improvement on driving down costs and maximizing revenues
  
  Helena Schwenk, VP, Chief Data and Analytics Office, Exasol
  
  Liam Ashbrook, Head of Strategy and Data Analytics, Monsoon Accessorize
  
  Jon Tanton Brown, Pangea Analytics Ltd Consultant, Monsoon Accessorize

• The key fundamentals to ensure data flows efficiently through different pipelines & controls are in place to ensure reliability
• Streamlining your processes to extract and collect available & accurate data from multiple data sets
• How to efficiently develop a curated view of data across the business units
• How can you successfully achieve a solid data foundation strategy? And how can you make data management a wider business issue?

Moderator: 

Gerry Goodwin, Chief Commercial Officer, Dufrain 

Panelists:

• Christopher Sweetser, Chief Risk Officer, AmTrust International
• Harleen Thethy,  Head of Data & Distribution, BBC StoryWorks, BBC News (Intl Commercial)
• Kate Sargent, Data & Analytics Executive 

• Setting the stage for digital transformation at an organisation level utilising data metrics to gain stakeholder engagement & buy-in from the top down
• Embedding & reviewing your training programmes to improve enterprise-wide data literacy
• Overcoming objections and additional challenges presented by legacy mindsets and systems
• How to build your ‘brand’ and internally market the contribution of data & analytics to organisational success
  
  Moderated by: Gurpreet Muctor, Chief Architect & Data Officer, Smart Cities, Westminster City Council 
  
  Panelists include:
• Sue Bateman, Interim Chief Data Officer, Central Digital and Data Office
• Marion Shaw, Head of Data & Analytics, Chaucer Group 
• Mike Leverington, Director of Data Experimentation, ITV
• Justin De Ferry, Director, Head of Client Services, WileyEdge

AI is getting better and better, with the explosion of data, compute, and technique. However, a disproporionately high number of investments in scaled AI initiatives at the Fortune® 500 companies fail spectacularly. While tech teams invest a lot of time and effort in data engineering, advanced AI algorithms and emerging frontier technologies for building these digital assets, business users and customers fail to see their value and adoption rates fail to pick-up. 
In this talk, Pranay will share how conventional tools such as rules & mandates, incentives and education fail to drive AI adoption. Pranay will unpack the three (pseudo) equations that companies use to drive AI success inside their organizations. Using these three equations, Pranay will outline 

• Best practices for creating a centralised enterprise data platform to drive accessibility and insights.
• Moving away from legacy systems towards cloud technologies to do more with data at a business level.
• How to ensure data is accessible to the team to guarantee data driven decisions.
• Leveraging data for improved customer experience as well as better understanding of how personalisation is performing.

•    Are companies challenging themselves to ask, what decisions are our data investments actually helping us make?’
•    What’s stopping organizations from leveraging the value of their data?
•    Fivetran will discuss how being able to access, operationalise and act on data in a timely manner is key to fulfilling the company’s purpose and Commercial potential.

• Societal issues in which they leveraged data to play a significant role, such as: reducing carbon emission, improving front-line decisions, & fighting Covid 
• How they have established value creation in a military environment 
• What the intersection of people, process & technology looks like in the military, compared to a commercial organisation 
• How they are continuously investing in people, and nurturing & empowering digital skills  
  
  Moderated by: Jason Teoh, Director of Data & Analytics, University Hospital Southampton NHS FT

• Why data, and ensuring LBS staff are equipped with the skills to utilise it, is important to building an insight-led culture 
• How the Data Academy supports the improvement of staff experience and data maturity at London Business School 
• Notable results LBS has seen so far from employees across functions on programme and what's next for the Data Academy 

• Remove bottlenecks in your AI systems by adopting a data centric approach
• Quickly iterate on your data to get your models into production faster
• Enable active learning and human in the loop functionality to increase AI explainability

• How to educate your organisation to use the right terminology and facilitate a true understanding of what AI is.  
• How to leverage Machine Learning and Deep Learning for actionable results. 
• Attempting to answer the question of trust and ethics. 
• Where is human involvement still a necessity? 

Moderated by: Andy Spires, EMEA Lead- Data Integrity, Tricentis

Panelists include: 

• Ines Ashton, Director of Advanced Analytics, Mars  
• Ramakrishnan Subramanian, Head of Data & Analytics, Square Trade
• Lisa Allen, Director of Data & Services, Open Data Institute 

• Integrating predictive analytics into your existing customer strategy
• Ways to successfully collect, capture & utilise high-quality, appropriate customer behavioural data in real-time
• Increasing your profit margins by leveraging analytics to forecast comprehensive insights & customer spending 

Moderated by: Guy Murphy, Global Enterprise Architect, Snaplogic

Panelists include: 

• Sid Shah, Executive Director of Data & Analytics, Conde Nast  
• Jean Ortiz Perez, Director of Data & Analytics, Collinson Group 

• How to articulate, showcase & measure the long-term business impact of D&A 
• Gaining buy-in & engagement from senior stakeholders to embed data as a core asset  
• Empowering different business units (from the frontline to the board) on how to embrace data for quicker decision-making in their everyday roles
• Is the term ‘data-driven culture' obsolete? What is next for data leaders, to continue putting data at the heart of the organisation?

Moderated by: Murtz Daud, CDO, St Andrew’s Healthcare

Panelists include: 

Dave Warder, Head of Data, Insights & Analytics, Adecco  

Major George McCrea, Chief of Staff, The National Centre for Geospatial Intelligence  

Karine Serfaty, CDO, The Economist  

Simon Adler, Senior Director Solution Engineering, Pyramid Analytics

 

• What is the role of the modern-day CDO?
• How can CDOs drive alignment in the c-suite?
• What are the top challenges of the CDO?

Facilitators include:

• Lynne Bailey, CDO, KPMG UK
• Didem Un Ates, Head of Applied Strategy, Data & AI, CDO Office, Microsoft
• Ian Thomas, CDO, Credera UK

• Utilising your data effectively to fuel the building of innovative products  
• How to monitor risk without letting it stifle innovation.
• Aligning data strategy with the business needs of the greater organisation.
• How to cultivate a culture of experimentation to generate unparalleled business opportunities with new insights 

Facilitators include: 

• Kassim Hussein, Head of Enterprise Analytics, Cleveland Clinic 
• Kyriakos Tempriotis, Director of Risk Monitoring & Analytics, Haleon 
• Nicolas Aversena, CEO, YOOI
• Pedro Rente Lourenço, Global Head of Data Science, Laing O’Rourke