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In this article we explore key factors to consider when choosing an SPM solution.

In this article, we explore how evaluating multi-cloud licensing can help reduce tech debt and discuss its impact on AI deployments.

In this discussion, we explore the underlying components that make AI possible, shedding light on its inner workings and dispelling the myth of their mystical nature.

In this article, we explore the challenges associated with using unapproved AI solutions and discuss strategies to address these risks effectively.

Smooth data flow between systems is not just a convenience — it is essential for operational excellence. In this article, we explore the strategic advantages of switching integration platforms, using a real-world example of transitioning to Boomi, to illustrate how such a move can unlock significant business opportunities.

In this article, we highlight key differences between small and large language models, exploring their respective advantages and disadvantages, and providing guidance on how to select the most appropriate model for your specific needs.

In this article, we highlight key differences between small and large language models, exploring their respective advantages and disadvantages, and providing guidance on how to select the most appropriate model for your specific needs.

From its humble beginnings in software development to its current frontier in artificial intelligence (AI), the concept of open source has undergone a remarkable transformation. This journey traces back to the early days of software development, where the tradition of sharing source code fostered collaboration and innovation. However, as proprietary practices gained momentum, individuals like Richard Stallman from the Massachusetts Institute of Technology (MIT) recognized the need to preserve the ethos of sharing and collaboration. Thus, the GNU Foundation was born, laying the groundwork for the open-source movement.