Business Solutions

How Knowledge Graphs and LLMs Shape Healthcare AI’s Future

The healthcare industry faces a unique challenge: balancing innovation with the critical need for precision. A single mistake in a diagnosis or treatment can have devastating consequences, making high accuracy non-negotiable. Harvard Medical School recently uncovered limitations in large language models (LLMs), such as hallucinations (fabricating non-existent information), which hinder

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Business Solutions

AI-Ready: 5 Essential Steps for Startups to Seamlessly Implement AI

Artificial Intelligence (AI) is transforming industries by automating processes, unlocking deep insights, and enhancing decision-making. Startups, in particular, stand to benefit from AI’s scalability and ability to drive efficiency. But before jumping on the AI bandwagon, it’s crucial for startups to prepare strategically to maximize the benefits. At Predictive Systems

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AI/ML Engineering

Context is All You Need : Why RAG Matters

As various approaches to Retrieval-Augmented Generation (RAG) continue to emerge, one thing remains clear—context is king. In a world where information is abundant but relevance is scarce, RAG’s true value lies in its ability to tap into external data and generate the right context for any given query. Whether it’s enhancing customer service, automating content creation, or powering business analytics, RAG’s competitive edge comes down to one thing: producing the right answers through precise, context-driven responses. Ultimately, the real innovation isn’t just in retrieval—it’s in generating the kind of context that drives actionable insights.

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