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Insights

Practical thinking for executives, technical leaders and practitioners

Applied AI

What should an AI pilot prove?

Value, feasibility and risk need to be tested together; model accuracy is only one measure. An AI pilot must show how its output can be used in a real workflow. This article examines baseline selection, test scenarios and the recording of limitations. Evaluating answer quality, operating cost and human-review needs grounds continue-or-stop decisions in evidence and distinguishes a convincing demonstration from readiness for everyday operation.

Read insight: What should an AI pilot prove?
Business intelligence and decisions

From dashboard to decision system

Why does displaying KPIs alone fail to change organizational behavior? A dashboard shows a situation; a decision system connects it to investigation, options and an action owner. This article examines metrics, interpretation context and follow-up together. It shows how reporting can support an operating conversation, what to investigate after a change and how a team can evaluate the action that follows.

Read insight: From dashboard to decision system
Data strategy and transformation

Why data transformation does not start with software

Buying software is an implementation decision, while data transformation starts with the decisions a business needs to improve. This article examines five choices to make first: the business question, decision owner, baseline, data sources and criteria for evaluating an initial step. Clarifying them makes dependencies and constraints visible and connects technology selection to an understood organizational need and a practical use for the output.

Read insight: Why data transformation does not start with software