Analytical AI Deserves Equal Attention in the Age of Generative AI

A recent article in TechRadar argues that while generative AI has captured headlines and boardroom attention, the more traditional form of artificial intelligence — analytical AI — remains critically important and is at risk of being overlooked. Analytical AI refers to systems that interpret structured data to make predictions or recommendations (for example, forecasting customer churn, optimizing pricing, or detecting fraud). By contrast, generative AI is more about creating new content (text, images, code) from unstructured inputs.

The article observes that despite its long-proven business value, analytical AI is being overshadowed by generative tools. One data point: only around 9 % of UK organisations are using AI for data-management and analysis, even though generative AI adoption surged. This neglect is potentially risky: generative AI can produce flashy results, but without a solid analytical backbone to turn raw data into actionable insights, organisations may fail to unlock long-term value. The article emphasises that analytical AI is the “engine room” of business intelligence, while generative AI is the “showroom”—and both are needed.

For business leaders seeking to capitalise on AI, the article suggests a five-step approach to properly invest in analytical AI:

1. Identify high-impact use cases (customer segmentation, pricing optimisation, retention).
2. Define clear, measurable objectives.
3. Assess data readiness (quality, accessibility, governance).
4. Build the necessary data foundation (pipelines, architecture, governance).
5. Invest in training and culture (enable staff to work with AI, foster experimentation).

Finally, the author argues that the greatest advantage comes when analytical and generative AI are paired. Analytical AI can uncover patterns and insights; generative AI can turn those into narratives, visualisations or automated actions. Together they amplify each other—especially in scenarios where firms need both deep insight and creative delivery to persuade investors, engage customers or transform operations.