Data continues to grow at a staggering rate yet organizations are still not making the most of available insights. As strange as it may seem the emerging technologies are still just buzzwords outside of the data and analytics office. While there is a definite acceptance to the concept of a data driven culture, being able to clearly demonstrate the ROI of specific projects and initiatives remains both important and tricky at the same time.
In this session:
In this age of the customer, decreasing the time between an innovative idea and an outstanding outcome is vital, as customers change the way businesses compete and win. Success is measured by speed and manner in which businesses respond. The needed customer data is often spread across organizational silos. In this case study, learn how joining-- market research, user-experience studies, site analytics, and ad tracking-- in one place has changed how insights are gathered and shared to maximize impact. This session will highlight the road to becoming a Customer Insights Center of Excellence. The path includes shifting department structures, leveraging shared tools, collaborating amongst stakeholders and championing communication.
How are data leaders applying best practices to managing the data supply chain, empowering stakeholders to collaborate, and sharing trusted data throughout the organization? Discuss how the industry is successfully automating data lineage and governance, creating transparency to build trust and accessibility, reducing 100’s of hours of time to find and deliver data down to minutes – all while staying compliant.
In this session, you’ll discuss how to:
As the buzz of data and analytics grows so does the enterprise’s inkling to implement a variety of artificial intelligence across business units. The number of variables needing analysis along with the ways to analyze them continues to expand. Agile data fabrics and explainable, transparent insights and scalable AI are necessary to meet the new demands and expand adoption.
Balancing skills, budgets and capabilities is complex.
In this session explore:
Understanding the risks, adopting best practices and navigating the regulatory environment to safeguard data.
In this session:
As organizations from all industry sectors begin to utilize AI in their business processes, the ability for AI models to explain how and why they arrived at a particular conclusion is emerging as a key requirement. In this talk we will be discussing explainable AI (XAI). We will address some of the drivers across different industry segments, survey the current “state of the art” in explainable AI, and show how XAI needs to be understood in the broader context of Data and Analytics governance. Presented by Caserta
Data and analytics began as separate disciplines. Now the role of the CDAO has elevated to a high-level problem solver, trusted advisor and agile communicator with accountability for data, analytics, privacy and security. Explore in this session the journey of the CDAO while looking at the technical expertise required, how much data governance is needed and exactly what the role entails or the precise reporting structure. The CDAO needs to lead by example how data and analytics can lead the organization as a competitive force that adds value. Proactive CDAOs are trying to prioritize focus and actually execute while getting as close as possible to a recipe for success in an evolving space: