Strata Data Conference

  • May 23, 2017 to May 25, 2017
  • ExCeL London, One Western Gateway, Royal Victoria Dock, London, E16 1XL, UK
  • Capgemini Booth at the Cloudera Sponsor Pavilion | event map

Strata Data Conference in London 2017

Join Capgemini at the Strata Data Conference

Strata Data Conference is the largest data conference series in the world, with a laser-sharp focus on how data can be used to shape critical decisions across disciplines and industries, from finance and smart cities to retail and government.

Speaker Sessions

Executive Briefing: Cloud Strategy

Speaker: Manuel Sevilla 
Date and Time: Wednesday May 24, 2017 | 12.05 pm -12.45 pm 
Venue: Capital Suite 17

Every company is defining or updating its own cloud strategy, but most have only a partial view that is often focused solely on infrastructure. Cloud strategy should be based on business value in the short and medium term and on the strategic bets that can guarantee a longer-term viability of the investments. Providing the right mix requires adding customer approaches, data usage, business models evolution, talent retention and generation, ability to scale despite fast evolution of laws and regulations, and partnerships choices to the mix. Manuel Sevilla shares real-world examples to illustrate the rules you need to keep in mind when designing your own cloud strategy.

Manuel Sevilla is a Vice President and Enterprise Architect for Capgemini, where he leads the Cloud market for Financial Services in Europe. Manuel monitors the cloud, big data, and analytics market and works closely with vendors, open source actors, and start-ups to understand the trends, the level of reliability and maturity, and the reality of the market and advise Capgemini customers on their strategic investments in this area.

At the Capgemini booth in the Cloudera Sponsor Pavilion, meet our experts and learn about our portfolio of Big Data and Analytics solutions including Leap Data Transformation Framework, Smart Analytics for Financial Services, Operational Analytics and Big Data Lake-as-a-Service