Reading Time: 3 minutes Breaking down walls is an evocative image, rich in emotional content, as it calls up the idea of a free world without barriers. Like many rhetorical devices, this metaphor can be easily transported to other domains, like data silos, for…
Reading Time: 3 minutes Digital transformation is top-of-mind for executives in all of the major companies. By engaging in digital transformation, organizations can easily leverage digital technologies such as artificial intelligence, interactive applications, and bots, to strengthen their fundamental business models while streamlining interactions…
Reading Time: 5 minutes In recent years, we have seen wide adoption of data analytics. However, most organizations continue to find it challenging to quickly yield actionable insights. Some issues that have been most often cited for this include: Poor data quality: While preparing…
Reading Time: 3 minutes Having been privileged to witness the evolution of the data science and artificial intelligence (AI) scene in the Middle East for the past 10 years and having spoken at one of the first big data events in Dubai back in…
Reading Time: 2 minutes Artificial intelligence (AI) and machine learning (ML) are highly advanced technologies, and one could say that they represent the future. In AI/ML systems, applications or machines are set up to learn from new information, and gradually, over time, they acquire…
Reading Time: 4 minutes “Technology changes, economic laws do not.” This is one of the most important concepts highlighted in 1994 by Carl Shapiro and Hal R. Varian in their book Information Rules. This simple idea describes the importance of the real effectiveness of…
Reading Time: 6 minutes Organizations today need a data architecture that can overcome a double challenge: satisfy new business needs that require more agility and self-service capabilities, while at the same time dealing with a growing, diverse, and fast-moving data ecosystem (new data sources,…
Reading Time: 3 minutes The data landscape is constantly changing. Every day, we deal with tons of data in different formats from different applications, and it’s stored both on-premises and in the cloud. In this kind of a landscape, how can we gain insights…
Reading Time: 3 minutes The business value of applying data science in organizations is incontestable. Prescriptive and descriptive models can help improve business and decision making processes. Data science work can be divided into analytical and data preparation work. Examples of data preparation activities…
Reading Time: 3 minutes In the past month, I am proud to have been a part of Denodo’s Experts Roundtable Series, where I moderated three separate discussions about cloud usage in data virtualization with distinguished professionals from companies around the world. Each specific episode…
