Articles
Data owners bring credibility to the data value chain, removing uncertainties around data interpretations and applicable business rules.
A paradigm shift introduces product thinking to data, resulting in domain-specific data products that evolve with changing business needs.
The lack of co-ordinated collaboration between source system owners and data teams may impact optimal functioning of the business.
Before deploying AI models to solve business problems, it’s vital to take a step back and assess the quality of available data.
Edge computing complements cloud infrastructure to provide resilient and reliable service and improve customer experience.
There are often reservations within a business when it comes to making changes to data tech systems, so it’s good to be aware of the challenges upfront.
The goal is to have a modernised, intelligent data platform that supports prompt delivery of high-quality data to data consumers.
Implementing data automation can help organisations efficiently and accurately process huge volumes of data with minimal resources.
Articles About Nathi Dube (4)
DataOps enables agility across distributed data architectures, ensuring the full value of real-time analytics can be realised, says Nathi Dube, director of PBT Innovation.
Additional high-demand spectrum will enable the resilient network infrastructure required to support critical edge computing deployments in South Africa.
By adopting a cautionary approach and carefully managing the evolution into a cloud-first operation, businesses can save a lot of money, says Nathi Dube, data engineer at PBT Group.
