
RAG vs Fine-Tuning: Which Does Your AI Product Need?
Compare RAG and fine-tuning in plain terms: where each fits, cost and maintenance differences, and what enterprise search in 818 Digital shows about retrieval.
Read articleBlogs
Practical guidance on AI, legacy modernization, software, and the systems that move businesses forward.

Before you hire AI developers, ask these 12 questions about evaluation, data access, model choice, code ownership, delivery costs, and post-launch support.
Read article
Learn how MCP and APIs connect AI to business systems, when to use each, and how to design reusable integrations with clear permissions and reliable results.
Read article
Estimate cloud migration costs with a practical framework, a worked budget, and a template covering migration work, data transfer, overlap, and ongoing cloud spending.
Read article
What does an AI product really cost? See practical development budgets, a worked estimate, monthly operating costs, and the questions to ask before you build.
Read article
Modernization budgets are easier to defend when the cost of doing nothing is visible. Learn how to quantify legacy costs, risk, ROI, payback, and build a board-ready business case.
Read article
Not every outdated system needs a transformation. Learn when a simple upgrade is enough, when software needs modernization, and when the business process itself needs to change.
Read article
Legacy software does not need to be replaced before it can benefit from AI. Learn how APIs, middleware, RAG, agents, and targeted modernization can safely connect AI to older systems.
Read article
Not every legacy system needs to be replaced. Learn when modernization is the safer investment, when replacement makes sense, and how to choose a path without disrupting critical operations.
Read article