<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Artificial Intelligence on Arc &amp; Digital</title><link>https://www.zils-kaisersesch.de/categories/artificial-intelligence/</link><description>Recent content in Artificial Intelligence on Arc &amp; Digital</description><generator>Hugo</generator><language>en-US</language><lastBuildDate>Mon, 10 Nov 2025 00:00:00 +0000</lastBuildDate><atom:link href="https://www.zils-kaisersesch.de/categories/artificial-intelligence/index.xml" rel="self" type="application/rss+xml"/><item><title>Key Insights from the Microsoft AI Tour 2025</title><link>https://www.zils-kaisersesch.de/post/2025-11-10-microsoft-ai-tour/</link><pubDate>Mon, 10 Nov 2025 00:00:00 +0000</pubDate><guid>https://www.zils-kaisersesch.de/post/2025-11-10-microsoft-ai-tour/</guid><description>&lt;p&gt;I had the opportunity to participate in the Microsoft AI Tour, and it was exciting to see firsthand the experiences shared from real-life projects, particularly the Zava demo project.&lt;/p&gt;
&lt;figure class="center-image"&gt;
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 &lt;figcaption&gt;Microsoft AI Tour, Frankfurt&lt;/figcaption&gt;
&lt;/figure&gt;
&lt;p&gt;Here are my key &lt;strong&gt;takeaways&lt;/strong&gt;:&lt;/p&gt;
&lt;ol&gt;
&lt;li&gt;
&lt;p&gt;AI will accelerate development and streamline business workflows. It can enhance software quality and security, but it&amp;rsquo;s crucial to remember that a human must always be involved in the process and make the final quality checks.&lt;/p&gt;
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&lt;li&gt;
&lt;p&gt;Topics such as &lt;em&gt;AI governance&lt;/em&gt;, &lt;em&gt;AI security&lt;/em&gt;, and &lt;em&gt;data loss prevention (DLP)&lt;/em&gt; will be critical in creating productive environments for all organizations, including small and mid-sized companies.&lt;/p&gt;
&lt;/li&gt;
&lt;li&gt;
&lt;p&gt;Maintaining high data quality is essential for effective data processing. Data lakes comprise multiple data sources. To transform each data source into &lt;em&gt;data meshes&lt;/em&gt; or &lt;em&gt;data products&lt;/em&gt; is increasingly important. This encompasses areas such as &lt;em&gt;event streaming&lt;/em&gt; and &lt;em&gt;data engineering&lt;/em&gt;.&lt;/p&gt;
&lt;/li&gt;
&lt;/ol&gt;
&lt;p&gt;In my experience, every organization or team navigates a learning curve when they begin to adopt new approaches and tools in software development. I&amp;rsquo;ve noticed that while low-code solutions can lead to impressive early progress, it&amp;rsquo;s crucial to be aware that a prototype or proof of concept does not meet the criteria for a functional system according to European and German regulations. &lt;strong&gt;T-shaped&lt;/strong&gt; experts will be essential in navigating this AI landscape effectively.&lt;/p&gt;</description></item></channel></rss>