Blogs

Discover how AI and machine learning in healthcare are transforming diagnostics and operations. A strategic guide for healthcare leaders.

MCP is a standardized layer of communication and context between AI models, agents, and enterprise systems.

MCP is a standardized layer of communication and context between AI models, agents, and enterprise systems.

Unsure whether to choose generative AI or machine learning? Discover their differences, benefits, and how to choose the right solution to scale your business with Rootstack.

Discover how Rootstack applies data science, AI, and ML to transform your business. Explore the benefits of machine learning and real-world use cases.

Developing a software is a complex, time-consuming and usually expensive task. Choosing to outsource part of the entire development team to a nearshore development partner can be a wise choice. Not only because it is relatively affordable and cost-effective, but because it offers a new set of benefits for growing business that are looking to expand their reach.

The current challenge for technology leaders is not finding where to apply AI, but discerning which applications will generate tangible value in the short term.

The current challenge for technology leaders is not finding where to apply AI, but discerning which applications will generate tangible value in the short term.

We will explore the specific steps to effectively scale AI within a business organization.

Implementing AI on a fragile technological foundation is a recipe for failure: unmanageable latency, runaway cloud costs, and critical security risks.

This article distills our experience into practical lessons about what really happens when AI leaves the lab and enters the real world.

The Model Context Protocol (MCP) acts as a universal language to connect AI assistants with systems where the data resides.