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New AI-ER Framework Assesses Business Impact and Adaptability

By PulseAugur Editorial · [2 sources] ·

A new research paper introduces the Artificial Intelligence Exposure and Resilience (AI-ER) framework, designed to assess how AI impacts software businesses. This two-dimensional model evaluates a company's 'AI exposure,' which is the pressure AI exerts on its business model, and its 'AI resilience,' which is its capacity to adapt and leverage AI effectively. The framework uses metrics derived from current AI capabilities and business adaptability research, allowing for initial assessments with public data that can be refined with internal evidence. AI

IMPACT Provides a structured method for businesses to evaluate their vulnerability and readiness for AI integration.

RANK_REASON The cluster describes a new academic research paper proposing a framework.

Read on Hugging Face Daily Papers →

AI-generated summary · Google Gemini · from 2 sources. How we write summaries →

New AI-ER Framework Assesses Business Impact and Adaptability

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COVERAGE [2]

  1. arXiv cs.AI TIER_1 English(EN) · Paul Darius Mandl (Findustrial GmbH), Peter Mandl (Munich University of Applied Sciences), Martin H\"ausl (Munich University of Applied Sciences) ·

    AI Exposure and AI Resilience: A Two-Dimensional Assessment Framework for Software and Software-Based Business Model

    arXiv:2609.11321v1 Announce Type: new Abstract: Artificial intelligence is changing both software production and the economics of software-based business models. Classical technology due diligence mainly examines technical properties such as architecture, scalability, and technic…

  2. Hugging Face Daily Papers TIER_1 English(EN) ·

    AI Exposure and AI Resilience: A Two-Dimensional Assessment Framework for Software and Software-Based Business Model

    Artificial intelligence is changing both software production and the economics of software-based business models. Classical technology due diligence mainly examines technical properties such as architecture, scalability, and technical debt. These criteria do not fully capture how…

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