Data Management: How Can Data Governance Help Drive Digital Transformation? - ERP Spain.com - España y América Latina

Data has become the source to empower an organization’s productivity and artificial intelligence (AI) is its driving force. Data management and data governance has never been more important for businesses and society due to the new age of technology. Today, we rely on data to power business performance as data volumes grow as a result of AI adoption. There are benefits to leveraging data to make better strategic decisions to accelerate business growth and be cost effective. Adding to the challenge between data governance and AI: AI itself is being utilized to support an organization's governance practices and data management. It is important to note that data governance is different from data management. Data governance is a collection of practices and ideas that focus on organizing data in order to enforce data policies. Data management, on the other hand, focuses on how data is organized and the actions taken to achieve efficiency. The term has its roots in the 1960s, when it was primarily used to describe professional training programs and quality assurance (QA) metrics, but has evolved. AI and data management systems go hand in hand; and when AI is integrated into and across the data management systems, it has the capability to enhance database precision and performance, as well as optimize system resources. This webinar will discuss: - The essentials of data management and data governance, and where the inclusion of AI brings value in digital transformation. - History of data management applied in technology for businesses and incorporating AI. - Data management and data governance tools: leveraging tools to increase business performance and to assess risk.