<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Orientation on AI Strategy Paper</title><link>https://ki-strategiepapier.de/en/a-orientierung/</link><description>Recent content in Orientation on AI Strategy Paper</description><generator>Hugo</generator><language>en</language><atom:link href="https://ki-strategiepapier.de/en/a-orientierung/index.xml" rel="self" type="application/rss+xml"/><item><title>A1. Why an AI Strategy</title><link>https://ki-strategiepapier.de/en/a-orientierung/a1-warum-eine-ki-strategie/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://ki-strategiepapier.de/en/a-orientierung/a1-warum-eine-ki-strategie/</guid><description>&lt;p&gt;&lt;strong&gt;What this chapter delivers:&lt;/strong&gt; the case for why a company needs an AI strategy, in three steps: why the topic is urgent now, which costs accrue when no strategy exists, and what role this work plays in addressing them.&lt;/p&gt;
&lt;h2 id="why-ai-matters-now"&gt;Why AI matters now&lt;/h2&gt;
&lt;p&gt;Artificial intelligence has arrived across the working world: a substantial share of knowledge workers already use generative tools in their daily work, often faster than their companies adopt them officially. The productivity effect is noticeable in practice, especially for routine tasks and for less experienced staff. For companies, adopting AI is therefore no longer an optional decision but an economic necessity. Those who do not steer its use leave it to chance, while competitors unlock efficiency and new value creation.&lt;/p&gt;</description></item><item><title>A2. Foundations and Terminology</title><link>https://ki-strategiepapier.de/en/a-orientierung/a2-grundlagen-und-begriffe/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://ki-strategiepapier.de/en/a-orientierung/a2-grundlagen-und-begriffe/</guid><description>&lt;p&gt;Anyone discussing architecture, operations, cost, or regulation needs clear terminology, otherwise business, IT, and the board talk past each other.&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;What this chapter delivers:&lt;/strong&gt; the shared language for everything that follows. The opening parts frame the key concepts, and the closing glossary defines the terms used throughout the work. The chapter is deliberately designed as a reference section.&lt;/p&gt;
&lt;h2 id="ai-machine-learning-deep-learning-generative-ai"&gt;AI, machine learning, deep learning, generative AI&lt;/h2&gt;
&lt;p&gt;These four terms are often used interchangeably in everyday speech but describe nested concepts:&lt;/p&gt;</description></item><item><title>A3. Maturity Assessment</title><link>https://ki-strategiepapier.de/en/a-orientierung/a3-reifegradanalyse/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://ki-strategiepapier.de/en/a-orientierung/a3-reifegradanalyse/</guid><description>&lt;p&gt;Before a company invests deliberately in AI, it needs to know its own AI maturity. The maturity assessment delivers this picture: how well is the organization prepared for AI technically, organizationally, and culturally? Without this stocktake, investment goes to the wrong place, for example into an expensive platform when the real problem is poor data quality.&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;What this chapter delivers:&lt;/strong&gt; a guide in five steps to be worked through in order, each with the input required, the concrete procedure, and the result. At the end stand your own maturity profile, the limiting bottleneck, and the measures derived from it. In the process model, this analysis is the Assess phase (see chapter &lt;a href="https://ki-strategiepapier.de/en/c-vorgehen/c1-vorgehensmodell/"&gt;C1&lt;/a&gt;).&lt;/p&gt;</description></item><item><title>A4. Reading Paths</title><link>https://ki-strategiepapier.de/en/a-orientierung/a4-lesepfade-nach-rolle/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://ki-strategiepapier.de/en/a-orientierung/a4-lesepfade-nach-rolle/</guid><description>&lt;p&gt;This work comprises 24 chapters in five parts. Every chapter carries a unique identifier (&lt;a href="https://ki-strategiepapier.de/en/a-orientierung/a1-warum-eine-ki-strategie/"&gt;A1&lt;/a&gt; to &lt;a href="https://ki-strategiepapier.de/en/e-werkzeugkasten/e2-quellen-und-aktualitaet/"&gt;E2&lt;/a&gt;) in its title and in the navigation. That way it is always clear where you are in the work and how much follows.&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;What this chapter delivers:&lt;/strong&gt; the full chapter overview, recommended reading paths per role, and entry points by starting question.&lt;/p&gt;
&lt;h2 id="chapter-overview"&gt;Chapter overview&lt;/h2&gt;
&lt;p&gt;All 24 chapters at a glance, with the core content of each:&lt;/p&gt;</description></item></channel></rss>