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What AI Transformation Actually Looks Like

P&C pricing • 5-minute read

Even as a software company built on machine learning and data science, AI adoption at Akur8 did not come easily. In this article, the COO and Head of AI Transformation share what enterprise AI transformation actually requires.

Beyond Actuary vs Data Scientist: the Hybrid Role Insurance Needs

🎙️ The Actuarial Angle: Beyond Actuary vs Data Scientist: the Hybrid Role Insurance Needs

P&C pricing • 4-minute read

An Actuarial Data Scientist is an actuary who is also fluent in machine learning. The role blends a deep grounding in insurance with modern analytical techniques.

Agentic AI for Actuaries: What It Is and Why It Matters

Agentic AI for Actuaries: What It Is and Why It Matters

P&C pricing • 5-minute read

In this article, we break down the three generations of AI, why actuaries face a higher bar than most professions, and what the right agentic AI actually looks like in a pricing workflow.

Cross-functional collaboration between actuaries, IT, data, and product teams

🎙 The Actuarial Angle: Actuaries, IT, Data, and Product: Building Better Cross-Functional Collaboration

P&C pricing • 5-minute read

Building a strong pricing model is key for actuarial teams, but it is only one part of the journey. For the model to create business value, it needs to move through data pipelines, product requirements, IT systems, governance processes, and deployment workflows before it can reach production. That journey rarely belongs to actuaries alone.

Transparency and Governance in Insurance Pricing

Transparenz und Governance im Versicherungs-Pricing

P&C pricing • 4-minute read

Transparenz und Governance im Pricing-Prozess hilft Versicherern dabei, die Nachvollziehbarkeit zu verbessern, die Compliance zu stärken und mit erklärbarer KI Vertrauen aufzubauen.

The Actuarial Angle: GLM vs GBM: Which one wins and when?

🎙 The Actuarial Angle: GLM vs. GBM: Welches Modell gewinnt, und wann?

P&C pricing • 5-minute read

Die Debatte um GLM versus GBM beschäftigt die aktuariellen Kreise seit Jahren. Dabei geht es weniger darum, welches Modell grundsätzlich „besser“ ist, sondern vielmehr darum, genau zu verstehen, wann welches Modell den größten Mehrwert liefert.