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    <description>Practical notes on data, AI, and building systems that ship — from DataDiwan, Helsinki.</description>
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    <lastBuildDate>Fri, 26 Jun 2026 21:58:15 GMT</lastBuildDate>
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      <title><![CDATA[Building EU-Compliant AI Agents for SaaS Workflows]]></title>
      <link>https://datadiwan.com/blog/saas-ai-agents-eu-compliance</link>
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      <description><![CDATA[How SaaS teams ship AI agents on top of CRM and ERP — with human override, audit logs, and EU AI Act documentation from day one.]]></description>
      <pubDate>Thu, 18 Jun 2026 00:00:00 GMT</pubDate>
      <category>ai-agents</category><category>saas</category><category>eu-ai-act</category><category>automation</category><category>intelligent-automation</category><category>generative-ai</category>
      <author>Sawsan Abdulbari</author>
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      <title><![CDATA[RAG in Production: A Stack EU SaaS Teams Can Audit]]></title>
      <link>https://datadiwan.com/blog/rag-production-eu-saas-stack</link>
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      <description><![CDATA[Chunking, hybrid retrieval, citations, and retention policies — the production RAG pattern EU SaaS teams need before legal review.]]></description>
      <pubDate>Thu, 18 Jun 2026 00:00:00 GMT</pubDate>
      <category>rag</category><category>saas</category><category>eu-ai-act</category><category>gdpr</category><category>generative-ai</category><category>knowledge-management</category><category>pgvector</category>
      <author>Sawsan Abdulbari</author>
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      <title><![CDATA[Messy Data Is Why Your AI Projects Stall — Fix the Pipes First]]></title>
      <link>https://datadiwan.com/blog/messy-data-trusted-pipelines</link>
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      <description><![CDATA[Scattered spreadsheets and silent API failures kill AI before it starts. How data engineering builds trusted pipelines, governed tables, and BI your models can use.]]></description>
      <pubDate>Thu, 18 Jun 2026 00:00:00 GMT</pubDate>
      <category>data-engineering</category><category>data-pipelines</category><category>analytics</category><category>data-quality</category><category>bi</category>
      <author>Linda Marin</author>
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      <title><![CDATA[One Metric, One Model: How to Ship Predictive Systems That Leaders Actually Use]]></title>
      <link>https://datadiwan.com/blog/predictive-systems-one-metric</link>
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      <description><![CDATA[Stop optimising accuracy in a vacuum. Tie ML to one business decision, validate in time, explain outcomes, and design human override from day one.]]></description>
      <pubDate>Wed, 17 Jun 2026 00:00:00 GMT</pubDate>
      <category>machine-learning</category><category>predictive-analytics</category><category>forecasting</category><category>decision-systems</category><category>mlops</category>
      <author>Linda Marin</author>
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      <title><![CDATA[Intelligent Automation: Embed AI in Workflows Without Replacing Your Stack]]></title>
      <link>https://datadiwan.com/blog/intelligent-automation-workflows</link>
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      <description><![CDATA[AI agents and orchestration on top of CRM, ERP, and tickets — with human checkpoints, audit logs, and measurable hours returned.]]></description>
      <pubDate>Tue, 16 Jun 2026 00:00:00 GMT</pubDate>
      <category>intelligent-automation</category><category>ai-agents</category><category>workflow-automation</category><category>integration</category><category>human-in-the-loop</category>
      <author>Sawsan Abdulbari</author>
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      <title><![CDATA[Why Internal Search Fails — and How Grounded AI Assistants Fix It]]></title>
      <link>https://datadiwan.com/blog/rag-internal-knowledge-assistants</link>
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      <description><![CDATA[Your team already has the knowledge. What breaks is discovery. Learn how grounded RAG assistants return cited answers from your documents — in your environment.]]></description>
      <pubDate>Thu, 11 Jun 2026 00:00:00 GMT</pubDate>
      <category>rag</category><category>generative-ai</category><category>knowledge-management</category><category>enterprise-ai</category><category>gdpr</category>
      <author>Linda Marin</author>
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      <title><![CDATA[EU AI Act Readiness: What to Document Before You Ship AI in Europe]]></title>
      <link>https://datadiwan.com/blog/eu-ai-act-readiness-checklist</link>
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      <description><![CDATA[Risk classification, data maps, and audit-ready documentation — a practical checklist for teams launching AI under EU rules.]]></description>
      <pubDate>Thu, 04 Jun 2026 00:00:00 GMT</pubDate>
      <category>eu-ai-act</category><category>compliance</category><category>gdpr</category><category>ai-governance</category><category>europe</category>
      <author>Sawsan Abdulbari</author>
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      <title><![CDATA[The Psychology Behind Slow AI Adoption (And How Leaders Unblock It)]]></title>
      <link>https://datadiwan.com/blog/psychology-ai-adoption-leaders</link>
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      <description><![CDATA[Competence anxiety, loss aversion, and status games — why smart teams delay AI, and the change playbook that actually works.]]></description>
      <pubDate>Thu, 28 May 2026 00:00:00 GMT</pubDate>
      <category>ai-adoption</category><category>change-management</category><category>leadership</category><category>organizational-psychology</category>
      <author>Linda Marin</author>
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