The Chief Data Officer and Chief Analytics Officer roles are evolving continually. In this session the CDO from the Industrial and Commercial Bank of China will discuss how they are preparing for the future; do they want to be innovative thinkers and risk their ideas being too progressive to be applied in the organization? Do they want to be a technical master working behind the scenes? Or do they want to become a transformational leader acting across all these domains of expertise? This session will focus on:
· Fostering their organization’s data-driven strategy
· Aligning innovation, compliance, technical & business perspectives
· Deriving value out of data assets
· Creating future data roadmaps
· Experimenting with upcoming trends such as wearables, mixed reality, and brain-machine interfaces.
By leveraging the ability to generate, access, collect, analyze, and interpret data from multiple sources, organizations can seize considerable competitive and operational benefits. However, many lack the in-house expertise and resources to efficiently integrate and manage data. Thus, it is critical to learn best practices that facilitate full visibility into data movement between enterprise applications and systems and that improve the quality of the data being integrated. During this session, we will cover best practices to set your organization up for the future including:
Quantum Computing and Reinforcement Learning are truly driving the future of cognitive technologies. But there are a lot of speculations on how Quantum computing and Ai will help enterprises and the business. This session will provide you insights on:
· How to derive business value out of these cognitive technologies
· How to overcome quantum processing challenges
· Managing major security risks and data leaks with Quantum in mind
The journey from pilot to production of AI & ML projects and tackling real-world data to get real-world value is often a bumpy ride for most enterprises. In this session, the senior VP from Swiss Re will provide you with best practices and strategies to scale & operationalize your future AI & ML projects effectively. This session will focus on:
· Retrofitting into your existing data infrastructure
· Data Validations across segments
· Adapting to innovation as a tool to avoid uncertainties