{"id":220804,"date":"2026-03-06T21:42:00","date_gmt":"2026-03-07T02:42:00","guid":{"rendered":"https:\/\/news-you-need.com\/index.php\/2026\/03\/06\/artificial-intelligence-analytics-a-guide-for-business-owners-2026\/"},"modified":"2026-03-07T00:23:45","modified_gmt":"2026-03-07T05:23:45","slug":"artificial-intelligence-analytics-a-guide-for-business-owners-2026","status":"publish","type":"post","link":"https:\/\/news-you-need.com\/index.php\/2026\/03\/06\/artificial-intelligence-analytics-a-guide-for-business-owners-2026\/","title":{"rendered":"Artificial Intelligence Analytics: A Guide for Business Owners (2026)"},"content":{"rendered":"

Artificial Intelligence Analytics: A Guide for Business Owners (2026)<\/a><\/p>\n

https:\/\/www.shopify.com\/ae\/blog\/artificial-intelligence-analytics<\/a><\/p>\n

Publish Date: 2026-03-06 21:42:00<\/a><\/p>\n

Source Domain: www.shopify.com<\/a><\/p>\n

The adoption of artificial intelligence across the business world has been swift and decisive. Over three-quarters of organizations use AI in at least one business function, up from roughly half in 2023.\u00a0<\/p>\n

One emerging and promising function is artificial intelligence analytics. From meteorology to medicine, AI transforms massive datasets into actionable insights that drive smarter decisions and better outcomes. Savvy companies are capitalizing on the power and flexibility of AI business analytics, including Shopify.<\/p>\n

\u201cAI analytics unlocks the ability to work with large language models (LLMs) and ask them business questions,\u201d explains Nathan Davis, product marketing lead at Shopify.<\/p>\n

This article explores the ins and outs of AI data analysis, the types of data analytics AI models can enhance, and tips for elevating your business with AI analytics.\u00a0<\/p>\n

What is artificial intelligence analytics?<\/h2>\n

Artificial intelligence analytics uses AI technologies to analyze data and generate insights. These technologies include machine learning (where systems learn from vast amounts of data), natural language processing (how computers interpret language and speech), and neural networks (models inspired by the human brain).<\/p>\n

Unlike traditional data analytics, which relies heavily on manual coding and human interpretation, AI analytics tools can process large amounts of data at scale and deliver nuanced analysis with little to no human input. It also enables you to pose questions about the data and obtain insights in natural language.\u00a0<\/p>\n

\u201cLLMs are really good at writing code and SQL\u2014the primary language for basic analytics, dashboarding, and custom reports,\u201d says Nathan, which is how AI analytics removes technical barriers to understanding data. \u201cWith traditional analytics, you\u2019re constrained to building dashboards in graphical user interfaces, or you need to write SQL code or Python to get your output,\u201d Nathan says. \u201cWith AI analytics, you can simply ask your…<\/p>\n

Source<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"

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