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Reading Time: 2 minutes With data ever increasing in volume, variety, and velocity, the pressure is on to be able to access data in real time, to serve increasingly demanding analytics. We need to be able to develop insights from data, and act on…
Reading Time: 2 minutes In this post, I’d like to explain how Denodo works with partners to better serve you, our customers, with a rich set of tailored, powerful solutions. Our Technology Partners Denodo is best-of-breed when it comes to modern data management technology,…
Reading Time: 2 minutes Prologis manages a wide breadth of real estate assets across the globe, which translates into a staggering amount of data that is stored across geographically dispersed sources. Every day, Prologis needs to integrate this vast amount of data, just to…
Reading Time: 3 minutes In this post, I would like to share some ideas about how data virtualization and the Denodo Platform can be helpful in the exciting new world of edge computing, or the Internet of Things (IoT). The idea of the…
Reading Time: 2 minutes St. James’s Place is a FTSE 100 company, with over £100 billion of client funds under management. The company is known for providing highly personalized, face-to-face wealth management services to individuals, trustees, and businesses. St. James’s Place was looking 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: 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: 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…
