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Dr Mikhail Vasenin

Insights

Short notes for organisations thinking seriously about AI and analytics.

The first content track focuses on practical AI adoption, useful forecasting systems, reporting workflows, responsible oversight, and sustainability analytics.

AI adoption

4 min read

Why most AI discussions in business are still too shallow

Useful AI adoption starts with decisions, evidence, oversight, and workflow design, not tool enthusiasm alone.

Decision intelligence

5 min read

What makes a forecasting system actually useful

A useful forecasting system is a decision workflow for interpretation, action, revision, and accountability.

Analytical workflows

4 min read

Why dashboards often fail decision-makers

Many dashboards display information without reducing uncertainty or improving forward-looking action.

Responsible AI

4 min read

Responsible AI for analytical workflows

Responsible analytical AI needs traceability, validation, human review, and a clear escalation path.

Sustainability analytics

5 min read

Sustainability analysis beyond ESG scores

Sustainability analysis becomes more useful when it treats information quality as the central question.

Start with a focused conversation

Discuss where AI, forecasting, or decision-support workflows can create practical value.