How to master multi-tenant data management

Multi-tenant data management is an essential part of a systems architecture designed for massive scale. It underpins countless business platforms, from commercial software-as-a-service CRMs to internal corporate data systems. Its popularity stems from its distinctive ability to support tailored services on a shared infrastructure, maximizing resource utilization and operational efficiency for each service (or tenant) while…

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Fundamentals of Descriptive Analytics

In descriptive analytics, data aggregation, and data mining techniques are used to collect and review the historical data of a business to gauge the past performance. The most common example of descriptive analytics is the reports that a user gets from Google Analytics tools. A web server’s summarized performance reports may help the user analyze…

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ADV Webinar: The ROI of Master Data Management Is (Usually) There – Let’s Run the Numbers

Download the slides here>> This webinar is sponsored by: About the Webinar Master data is a key to digital transformation. All transformative projects require master data and usually many subject areas. What could you accomplish if cultivating customer, product, supplier, and other subjects didn’t have to be part of every project and could be accessed…

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7 reasons analytics and ML fail to meet business objectives

Foundry’s State of the CIO 2024 reports that 80% of CIOs are tasked with researching and evaluating possible AI additions to their tech stack, and 74% are working more closely with their business leaders on AI applications. Despite facing the demand for delivering business value from data, machine learning, and AI investments, only 54% of…

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Are we thinking too small about generative AI?

The current state of generative AI feels like one of those tourist t-shirts: “I spent a trillion dollars on AI infrastructure and all I got was a poorly written school essay.” Obscene amounts of money are being dumped into data centers and associated infrastructure (e.g., Nvidia chips to fuel compute), with relatively little money coming…

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Generative AI won’t fix cloud migration

Management was optimistic when XYZ, Inc., embarked on a journey to migrate its extensive legacy systems to the cloud using cutting-edge generative AI tools. Partnering with a leading AI solutions vendor promised efficiency and reduced costs. However, the generative AI tools needed help to handle the complexity and specificity of XYZ’s systems, which led to…

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