Incident Management: Using custom monitors that check for expected behavior, these tools can flag out-of-norm changes in data loads, issue tickets, assign incidents to the right teams, and reroute ...

There is a model, however, that can deliver the best of both worlds if implemented with proper tooling and processes. The “hub-and-spoke” model is an alternative to the data mesh architecture ...

When you get in the weeds on AI and machine learning, big data, analytics, the cloud, and the edge, you can forget that, at the end of the day, the goal of digital transformation is not to ...

Weighed down by tariffs and geopolitical uncertainty, dealmaking has slowed to a crawl across most industries except one: the ...

Data infrastructure first. The current lack of data infrastructure means there’s not enough data to build high performance machine learning. Yet, this is the precursor to AI. The AI conversation tends ...

AI-driven analytics can help companies make better decisions for their new business models and contribute to three pillars of business success: increasing revenue, controlling costs and ensuring ...

Data holds great value, but only if you can find it and access it. That may sound simple, yet in the real world, it’s not. Some people think they’ve solved the problem if they’ve asked ...

Dive into the latest strategies and technologies in data management and analytics this May 13-15 in Boston, MA at the Data Summit 2025 conference featuring AI & Machine Learning Summit, Generative AI ...

4. Azure Data Lake Analytics. Data warehouses are designed for questions you already know you want to ask about your data, again and again. Data lakes, on the other hand, enable you to store ...

Big data can bring huge benefits to businesses of all sizes. However, as with any business project, proper preparation and planning is essential, especially when it comes to infrastructure. Until ...