Natural Language Interface to Enterprise Data Management with Dr Ndivhuwo Makondo & Richard Young
This webinar covers advancements in AI for enterprise data management, focusing on NLP, deep learning, text-to-SQL systems, challenges, and future strategies for optimizing database pipelines and improving data governance.
Delivering value at scale with Data and AI products with Nicolas Averseng
This webinar covers data product implementation, emphasizing data characteristics, risk assessment, and the importance of aligning strategy with operations for effective management and decision-making in business technology.
Designing Data Products to Support Customer Value Propositions for Data Citizens
This webinar highlights the importance of effective data management for AI success, emphasizing data quality and governance as vital for sustainable organizational growth and collaboration between technology and personnel.
Data Warehousing, BI, Big Data & Data Science for Data-Driven Executives
This webinar highlights the importance of effective data management for AI success, emphasizing data quality and governance as vital for sustainable organizational growth and collaboration between technology and personnel.
Data Warehousing, BI, Big Data & Data Science for Data Management Professionals
This webinar explores AI's evolution in business, focusing on data engineering, governance, ethical challenges, and the impact of big data on decision-making, particularly in the context of Africa's financial technology.
Defining an AI Native Organisation Framework with Dr. Alet Smith
This webinar explores AI's evolution in business, focusing on data engineering, governance, ethical challenges, and the impact of big data on decision-making, particularly in the context of Africa's financial technology.
Mastering Legal and Ethical AI Compliance: Europe and the World with Arnoud Engelfriet
This webinar addresses key AI development topics, including ethical implications, the EU's AI Act, data governance, human oversight, accountability, and controversies surrounding data use in social networks.