A CIO recently came to me with a question about how their peers were effectively managing organizational identity and identity governance, wanting to improve their
An article on Substack entitled The Death of Data Modeling has aroused heated discussions among data practitioners. According to the article, many of those data
History is littered with innovations born from tragedies and the recent pandemic is no exception. From the construction industry to the local government sector, organisations
Without buy-in from your company’s rank and file, even the cleverest AI-derived model will sit idle and “data-driven decision-making” will just go around in circles.
Given the critical role data plays in helping companies achieve growth and competitive advantage, it’s no wonder that companies have been migrating their analytical workloads
As AI technology advances and more organizations are implementing machine learning operations (MLOps), companies are looking for ways to speed up processes. This is especially
Extracting data from documents has evolved significantly since the OCR days of the 1990s. Template-based approaches have been replaced with AI- (artificial intelligence) and NLP-
When two elite technologies meet, AI and IoT, we get Artificial Intelligence of Things (AIoT). Artificial intelligence combined with IoT will improve IoT operations, make
Cloud Computing is the delivery of highly in-demand IT resources via the Internet using the pay-as-you-go method. Rather than companies having to buy, use and
Edge Machine Learning (Edge ML) is one of the most talked-about tech advancements since the Internet of Things (IoT), and for a good reason. With
To determine the worth of any technology, look at the specific value drivers. While you may think that the technology itself provides value, in many instances it
Cloud computing is a ubiquitous piece of jargon and one of the hottest buzzwords in the industry today. While cloud computing’s on-demand nature has made
