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Fixing AI's knowledge foundation is key to performance, not new models

Many AI deployments in customer experience are underperforming not due to the AI model itself, but due to underlying knowledge foundation issues. Merlin Bise, CTO of Inbenta, advises organizations to focus on structuring content for machine readability, consolidating knowledge stores to avoid duplication, and empowering subject matter experts to directly update answers. These foundational fixes, which can now be automated and completed in weeks rather than months, are significantly more cost-effective than replacing the entire AI platform. AI

IMPACT Focusing on data quality and knowledge management can improve existing AI systems, reducing the need for costly platform replacements.

RANK_REASON Opinion piece by an industry executive on AI deployment best practices.

Read on Forbes — Innovation →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

Fixing AI's knowledge foundation is key to performance, not new models

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4 / 100
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Newsworthiness bucket
Commentary
Opinion piece by an industry executive on AI deployment best practices.
Source corroboration
Single-source cluster
Only one publisher covered this so far. Single-source stories can still rank when the publisher is high-authority, but they lack cross-source corroboration.
Topics
product, infra
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AI-industry relevance
High
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Breaking (< 6h)
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Full methodology in our editorial standards.

COVERAGE [1]

  1. Forbes — Innovation TIER_1 English(EN) · Merlin Bise, Forbes Councils Member ·

    If Your AI Isn't Working, Fix The Foundation

    Before you run another evaluation, check three things. You can diagnose all of them without a new vendor.