Cerebras’ giant chip and other advances in 2025 reflect a post-Moore’s-law shift toward parallel computing and broader AI accessibility.

As AI moves from hype to measurable results, one truth is becoming clear: Enterprise AI needs business context to be fully ...

Business systems in context refer to the integrated frameworks through which organisations align their internal processes, digital technologies and management practices to create and capture value in ...

AI tools only deliver meaningful results when they are given clear, structured business context — without it, even the best systems produce irrelevant, low-impact output. AI is only as effective as ...

AI systems need humans to guide them with the unique enterprise history, policies, changes, and institutional knowledge before they can produce real business value. Here’s the awkward truth about ...

Balancing maker and manager modes is key to sustaining growth and avoiding burnout. Intentional context switching enables small business owners to refine processes and drive innovation. Shapeshifting ...

Why AI agents struggle without real-time enterprise context and how MCP servers are becoming the foundation for trusted, action-oriented AI systems. After years of investing in AI projects, ...

What if the AI tools you rely on could become not just smarter, but exponentially more effective? Imagine an AI assistant that doesn’t just follow instructions but intuitively understands your needs, ...