For years, “digital transformation” has been positioned as a business imperative...

Much of the conversation around AI in the workplace focuses on job replacement...

There is a shift happening in the ITSM landscape in 2026. From using chatbots that deflect tickets, ITSM has shifted to the use of “AI agents that resolve these tickets. As such, we are now in this era of Agentic AI, where systems possess a “reasoning engine” that allows them to plan and execute multi-step tasks autonomously...

As artificial intelligence (AI) continues to evolve in its capabilities, it has been making its way into critical processes of various business operations. This is especially true in business intelligence (BI)...

Artificial intelligence (AI) is considered the most significant disruptor in the technology space as its advanced and continuously evolving capabilities are reshaping many aspects in the sector, particularly the job market. This has been met with both excitement and concern from the companies and the talent alike, as AI brings the creation of new roles and some significant layoffs as well...

As data volumes continue to grow, the need for faster, smarter, and more accessible insights is more urgent than ever. While the traditional business intelligence (BI) tools are able to provide such insights, these tools often require technical expertise and data literacy to operate effectively—creating bottlenecks and delaying time-to-insight...

For mid-market organizations, the challenge is no longer access to data—it’s making that data usable, visible, and scalable. From managing unstructured data to improving visibility and building future-ready architectures, leaders are being pushed to rethink how their data actually supports decision-making and growth...

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...

Traditionally, when employers seek talent to join their team, they tend to look at a candidate’s academic qualifications to determine the candidate’s fit, especially for the specific job role they need. After all, for a long while, the diploma was considered a good indicator of a person’s knowledge and skills required for a particular job role...