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…
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“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…
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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,…
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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…
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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…
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Axa XL is a subsidiary of the global insurance and reinsurance company Axa and is headquartered in Stamford, Connecticut. They have more than 100 offices across six continents. In this post, I’d like to share Axa XL’s experience with the…
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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…
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Denodo is a very partner-friendly company, and here I’d like to share some thoughts about how Denodo works with our partners. I’m referring not only to our technology partners, but also to our cloud partners that host the Denodo Platform,…
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Organizations all over the world are migrating their IT infrastructures and applications to the cloud. Organizations are leveraging cloud analytics to extract useful insights from big data, which draws from a variety of sources such as mobile phones, Internet of…
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A black swan event like COVID-19 pandemic has stymied the plans of many CIOs to upgrade their archaic IT platform into a modern infrastructure of hardware and software to support their dynamic business process. When faced with such predicaments, the…
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