Dec 14 ADV Webinar: Strategies for Machine Learning Success

Data Quality is an elusive subject that can defy measurement and yet be critical enough to derail any project, strategic initiative, or even company. The data layer of an organization is a critical component because it is so easy to initially ignore the quality of data or make overly optimistic assumptions about its efficacy. Having Data Quality as a focus is a business philosophy that aligns strategy, business culture, company information, and technology in order to manage data to the benefit of the enterprise. It is a competitive strategy.

In today's data-driven AI era, compliant and ethical use of data is more crucial than ever. In this webinar, we will unravel the complex but essential world of data privacy regulations, GDPR in particular, which is the world's most impactful data protection regulation. Throughout the webinar, we will provide actionable insights to ensure your organization remains compliant and ethical. Join us to explore and understand the impact and importance of data ethics and the GDPR, equipping you with the knowledge and tools to transform your data practices. We'll explore the main principles of GDPR, its far-reaching implications on global data management, and the responsibilities of data practitioners.

Master data is a key to digital transformation. All transformative projects require master data and usually many subject areas. Yet the uptake is not where it should be when considering how enterprises could be benefitting with MDM. This is due to several misconceptions.

For many organizations, the flow of data is the bloodstream that keeps operations alive. Success depends on having accurate, efficient, timely, and consistent processes that govern the creation, movement, and digestion of data. Every step is critical. Virtually every employee touches (and impacts) data at some point in its trajectory. Yet, too often, any decision or action regarding data is assumed to be the responsibility of people in the analytic department.