Data Transformation in Creative Industries

How can industries that rely on human creativity and service excellence leverage the power of data? In this opening keynote we hear from Anca Marola, Chief Data Officer at the Louis Vuitton Moet Hennessy Group. She will be sharing her thought leadership on continuous data transformation, enhancing consumer experience and brands desirability in the age of artificial intelligence.

Anca Morola Group Chief Data Officer, LMVH

Track 1: Establishing the Vision for a Data-driven Organization

CDOs, CAOs and D&A leaders, know that the key to success in this digital age is data. To capitalize on the true potential of data at our fingertips, organizations must fundamentally change how they view and use data. Transforming the view of D&A from what was typically considered a support function, to a strategic growth asset and core business competency requires data leaders to innovate to match the pace of digital transformation. How do D&A leaders quantify and prove the ROI of data initiatives in the context of bona fide business value? How can data leaders drive change while bridging the gap between business and technology?

Track 2: Get ready for Enterprise AI success

Organizations with diverse ecosystems are significantly more likely to have a transformative vision for AI, enterprise-wide AI strategies, and use AI as a strategic differentiator. How can organizations be ready for enterprise AI success? In enterprise AI, there's a gap between what's possible and what's expected — a disconnect that is hurting implementation. While the ultimate goal for AI adoption is a more efficient organization, sometimes the gap between the possible and the achievable is too big. Sometimes, the technology is ready to deliver, but the infrastructure and quality of data aren't quite there yet.

Track 3: Data Democratisation - Enabling Employees to Take Control of their Data Objectives

Is xOps as a term and a function necessary? Is it not creating confusion among other established disciplines such as DevOps and DataOps?

AI Built for Business

To thrive in this digital age, companies are turning towards artificial intelligence to stay competitive, innovate future ideas, and automate business processes. By leveraging the power of artificial intelligence, specifically built for business, smarter organizations are able to increase the value of their data in real-world applications - such as predicting outcomes with analytics and personalizing experiences with customer care. Join us in this thought-provoking session to hear about:
•How organizations can kick start their use of AI
•The top real-world applications for AI
•Proven use-cases that generated optimized outcomes

Madison Gooch Director AI Applications, IBM,

Bringing a Product Mindset to Data

A Product mindset has been used for many years in software development, but in the future it will be extraordinarily important to driving growth with data.

Danielle Crop Chief Data Officer, Albertsons