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<rss xmlns:itunes="http://www.itunes.com/dtds/podcast-1.0.dtd" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:podcast="https://podcastindex.org/namespace/1.0" xmlns:media="http://search.yahoo.com/mrss/" version="2.0"><channel><title>No Hallucinations: AI That Ships</title><link>https://www.spreaker.com/podcast/no-hallucinations-ai-that-ships--7033493</link><description><![CDATA[No Hallucinations: AI That Ships<br />For CDOs, heads of BI, and the C-suite leaders who decide what gets built. Each episode unpacks one pattern from a real AI-on-data project: the architecture decisions, the production trade-offs, and what changed for the business. Occasionally the show steps back to wrestle with the bigger questions about where data work is heading.]]></description><atom:link href="https://www.spreaker.com/show/7033493/episodes/feed" rel="self" type="application/rss+xml"/><language>en</language><category>Management</category><copyright>Copyright Astral Forest</copyright><image><url>https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/125ef14e01c06e35fc9993b4454b1465.jpg</url><title>No Hallucinations: AI That Ships</title><link>https://www.spreaker.com/podcast/no-hallucinations-ai-that-ships--7033493</link></image><lastBuildDate>Tue, 02 Jun 2026 07:36:29 +0000</lastBuildDate><itunes:author>Michał Dębski</itunes:author><itunes:owner><itunes:name>Astral Forest</itunes:name><itunes:email>info@astralforest.com</itunes:email></itunes:owner><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/125ef14e01c06e35fc9993b4454b1465.jpg"/><itunes:subtitle>No Hallucinations: AI That Ships
For CDOs, heads of BI, and the C-suite leaders who decide what gets built. Each episode unpacks one pattern from a real AI-on-data project: the architecture decisions, the production trade-offs, and what changed for...</itunes:subtitle><itunes:summary><![CDATA[No Hallucinations: AI That Ships<br />For CDOs, heads of BI, and the C-suite leaders who decide what gets built. Each episode unpacks one pattern from a real AI-on-data project: the architecture decisions, the production trade-offs, and what changed for the business. Occasionally the show steps back to wrestle with the bigger questions about where data work is heading.]]></itunes:summary><itunes:category text="Business"><itunes:category text="Management"/></itunes:category><itunes:explicit>false</itunes:explicit><itunes:type>episodic</itunes:type><item><title>AI-Augmented Data Engineering, with Maksym Karashchuk</title><link>https://www.spreaker.com/episode/ai-augmented-data-engineering-with-maksym-karashchuk--72291134</link><description><![CDATA[A data architect who builds agents every week gives an honest read on what AI is doing to the data engineering job. The job is not disappearing but it is shifting: from writing code by hand to curating the rules, skills, and knowledge base that agents run on. As the LLMs are becoming commodity, the bottleneck in 2026 transitions form being a top model quality to the correctly built processes. ]]></description><guid isPermaLink="false">https://api.spreaker.com/episode/72291134</guid><pubDate>Tue, 02 Jun 2026 06:56:00 +0000</pubDate><enclosure url="https://api.spreaker.com/download/episode/72291134/master.mp3" length="42998633" type="audio/mpeg"/><itunes:author>Michał Dębski</itunes:author><itunes:subtitle>A data architect who builds agents every week gives an honest read on what AI is doing to the data engineering job. The job is not disappearing but it is shifting: from writing code by hand to curating the rules, skills, and knowledge base that agents...</itunes:subtitle><itunes:summary><![CDATA[A data architect who builds agents every week gives an honest read on what AI is doing to the data engineering job. The job is not disappearing but it is shifting: from writing code by hand to curating the rules, skills, and knowledge base that agents run on. As the LLMs are becoming commodity, the bottleneck in 2026 transitions form being a top model quality to the correctly built processes. ]]></itunes:summary><itunes:duration>1792</itunes:duration><itunes:keywords>ai,analytics,architecture,astral forest,cdo,data,datalake,data leadership,datawarehouse,engineering,model,no hallucinations,podcast,reporting,technology</itunes:keywords><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/92256c4e2505d3c7da56191d77d70d89.jpg"/><itunes:season>1</itunes:season><itunes:episode>2</itunes:episode><itunes:episodeType>full</itunes:episodeType></item><item><title>The Role of MDM in AI Transformation, with Malcolm Hawker</title><link>https://www.spreaker.com/episode/the-role-of-mdm-in-ai-transformation-with-malcolm-hawker--72112999</link><description><![CDATA[<ul><li>00:00 Cold open<br />00:27 Claude vs MDM<br />01:54 Show intro<br />03:26 Gartner conference takeaway<br />06:32 80-90 percent of data is unstructured<br />09:32 Data and library<br />11:23 M&amp;A use cases<br />17:37 Why just-use-Claude fails<br />20:53 Because Claude did it<br />22:11 Human-in-the-loop debate<br />25:42 The CDO ROI measurement problem<br />28:47 MDM in five years<br /><br /><br /><br /><br /><br /></li></ul>]]></description><guid isPermaLink="false">https://api.spreaker.com/episode/72112999</guid><pubDate>Fri, 22 May 2026 10:57:52 +0000</pubDate><enclosure url="https://api.spreaker.com/download/episode/72112999/master.mp3" length="43084941" type="audio/mpeg"/><itunes:author>Michał Dębski</itunes:author><itunes:subtitle>- 00:00 Cold open
00:27 Claude vs MDM
01:54 Show intro
03:26 Gartner conference takeaway
06:32 80-90 percent of data is unstructured
09:32 Data and library
11:23 M&amp;amp;A use cases
17:37 Why just-use-Claude fails
20:53 Because Claude did it
22:11...</itunes:subtitle><itunes:summary><![CDATA[<ul><li>00:00 Cold open<br />00:27 Claude vs MDM<br />01:54 Show intro<br />03:26 Gartner conference takeaway<br />06:32 80-90 percent of data is unstructured<br />09:32 Data and library<br />11:23 M&amp;A use cases<br />17:37 Why just-use-Claude fails<br />20:53 Because Claude did it<br />22:11 Human-in-the-loop debate<br />25:42 The CDO ROI measurement problem<br />28:47 MDM in five years<br /><br /><br /><br /><br /><br /></li></ul>]]></itunes:summary><itunes:duration>1796</itunes:duration><itunes:keywords>ai,analytics,astral,cdo,chief,context,data,engineering,forest,governance,integration,m&amp;a,management,master,mdm,officer,profisee,quality,transformation</itunes:keywords><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/125ef14e01c06e35fc9993b4454b1465.jpg"/><itunes:season>1</itunes:season><itunes:episode>1</itunes:episode><itunes:episodeType>full</itunes:episodeType></item></channel></rss>
