We have borne witness to how artificial intelligence (AI) has transformed the technological front over the years. Among the technologies that has been transformed by AI is the data warehouse in the cloud. But what has AI brought to the table that has shaped and continues to shape the cloud data warehouse and how is it transforming the data warehouse that benefits us as users...

Data architecture has evolved dramatically over the past decade. Organizations today generate massive volumes of data from applications, devices, and digital interactions and come in different forms: structured, semi-structured, and unstructured...

The role of data warehouses has evolved in today’s analytics-driven environment from simply storing structured data to becoming central hubs for advanced analytics and decision-making. Modern data warehouses now support real-time data processing, integration of diverse data sources (including unstructured and semi-structured data), and scalability through cloud platforms, which has enabled businesses to gain faster, deeper insights, support AI and machine learning initiatives

The sobering reality is that most organizations’ data analytics remain in the early phases, at the descriptive and diagnostic levels that tell a “what” and “why” story but for one reason or another, have either not yet reached the crucial “what to do” phase of the story that prescriptive analytics provides or are drawing their own findings and solutions without the rigid process of prescriptive analysis, which only guarantees failure for the organization’s data-driven endeavo