Hi, my name is Christoph De Melio. I'm part of the Worldwide Center of Excellence for Data and AI, with a focus on information governance and GDPR. For the past two years companies have been working a lot on GDPR initiatives, as it was the first data privacy regulation with a global scope. A major consequence is also that data privacy has become a very critical topic for companies around the world. Looking at data privacy regulations, I see customers often starting their journey from the security standpoint. While, this is clearly a good approach, companies should not forget that the base of those data privacy regulations is personal data, and that security is only a piece of the puzzle. It means that companies should, to be successful, start by having a clear understanding of what personal data is for them. And then work on the different principles of those regulations. The lawfulness and transparency, purpose limitation, data minimization, accuracy and quality, confidentiality and security, and accountability. Adhering to those principles will drive pragmatic approaches in securing the data, defining Lifecycle policies, support customer processes. But should also allow those companies to gain value for the data instead of just being focused in complying to the regulation. Now, looking at new trends in IT like cloud in the eye in the lens of GDPR, we directly see the needs to approach them very carefully to ensure compliance while taking advantage of these new trends. Aspects like understanding and documenting the data topology, the different processing activities, and where they are taking place. The traceability of AI models will be key to ensure compliance. To make sure IBM is providing real added value during these programs, we should focus on building those long-term relationships with customers, and show them where we can add value. To better do that, IBM has defined a data-based methodology to create an atmosphere of collaboration. Build a trust relationship, and ensure that we can help customers build the right vision and roadmaps towards those data-driven cultures that are needed, and it's called the DataFirst method. Don't hesitate to contact us to see how we, using that methodology, can help you and your customers take advantage of data privacy regulations, to drive new businesses or efficiencies in your organizations. Thank you very much.