<?xml version="1.0" encoding="UTF-8"?>
<?xml-stylesheet href="/stylesheet.xsl" type="text/xsl"?>
<rss version="2.0" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:sy="http://purl.org/rss/1.0/modules/syndication/" xmlns:content="http://purl.org/rss/1.0/modules/content/" xmlns:itunes="http://www.itunes.com/dtds/podcast-1.0.dtd" xmlns:podcast="https://podcastindex.org/namespace/1.0">
  <channel>
    <atom:link rel="self" type="application/atom+xml" href="https://feeds.transistor.fm/q-a-i-podcast" title="MP3 Audio"/>
    <atom:link rel="hub" href="https://pubsubhubbub.appspot.com/"/>
    <podcast:podping usesPodping="true"/>
    <title>MPD Q, A &amp; I podcast</title>
    <generator>Transistor (https://transistor.fm)</generator>
    <itunes:new-feed-url>https://feeds.transistor.fm/q-a-i-podcast</itunes:new-feed-url>
    <description>The MPD Q, A &amp; I podcast series, part of the Manufacturing Performance Days, dives deep into the role of AI in creating new digital business models, advancing technologies, and leading sustainable transformation. Through candid conversations with leading professionals at the forefront of AI transformation, the series offers listeners first-hand insights into the future of AI-powered manufacturing.</description>
    <copyright>Manufacturing Performance Days</copyright>
    <podcast:guid>3a8935ee-ed41-59a3-b7cc-30fe5e4281a4</podcast:guid>
    <podcast:locked owner="myynti@podcastory.fi">no</podcast:locked>
    <language>en</language>
    <pubDate>Wed, 22 Oct 2025 14:50:43 +0300</pubDate>
    <lastBuildDate>Wed, 03 Dec 2025 08:35:20 +0200</lastBuildDate>
    <image>
      <url>https://img.transistor.fm/nEEY-EImx875r11UNX8CYYckJtJkM0qaHnYanNZtjY8/rs:fill:0:0:1/w:1400/h:1400/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS9hNTM0/MDcyODg4MjI3ZDkz/ZGU5ZmEyMWM5M2Qz/ZTYyOC5wbmc.jpg</url>
      <title>MPD Q, A &amp; I podcast</title>
    </image>
    <itunes:category text="Business"/>
    <itunes:type>episodic</itunes:type>
    <itunes:author>Manufacturing Performance Days</itunes:author>
    <itunes:image href="https://img.transistor.fm/nEEY-EImx875r11UNX8CYYckJtJkM0qaHnYanNZtjY8/rs:fill:0:0:1/w:1400/h:1400/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS9hNTM0/MDcyODg4MjI3ZDkz/ZGU5ZmEyMWM5M2Qz/ZTYyOC5wbmc.jpg"/>
    <itunes:summary>The MPD Q, A &amp; I podcast series, part of the Manufacturing Performance Days, dives deep into the role of AI in creating new digital business models, advancing technologies, and leading sustainable transformation. Through candid conversations with leading professionals at the forefront of AI transformation, the series offers listeners first-hand insights into the future of AI-powered manufacturing.</itunes:summary>
    <itunes:subtitle>The MPD Q, A &amp; I podcast series, part of the Manufacturing Performance Days, dives deep into the role of AI in creating new digital business models, advancing technologies, and leading sustainable transformation.</itunes:subtitle>
    <itunes:keywords></itunes:keywords>
    <itunes:owner>
      <itunes:name>Manufacturing Performance Days</itunes:name>
      <itunes:email>myynti@podcastory.fi</itunes:email>
    </itunes:owner>
    <itunes:complete>No</itunes:complete>
    <itunes:explicit>No</itunes:explicit>
    <item>
      <title>MPD Q, A &amp; I: Connectivity, Confidentiality, and Curation ­– M-Files and Valio on Impactful AI</title>
      <itunes:episode>9</itunes:episode>
      <podcast:episode>9</podcast:episode>
      <itunes:title>MPD Q, A &amp; I: Connectivity, Confidentiality, and Curation ­– M-Files and Valio on Impactful AI</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <guid isPermaLink="false">df45fd3d-4f2a-4ff4-9372-859f5bac1bf0</guid>
      <link>https://share.transistor.fm/s/e2cab91a</link>
      <description>
        <![CDATA[<p><br></p><p><em>Connectivity, confidentiality, and curation</em> – the three pillars of successful AI in manufacturing, where technology strengthens human capability and builds trust in data-driven decision-making.</p><p>In this episode of <em>MPD Q, A &amp; I</em>, <strong>Samppa Lahtinen</strong> (M-Files) and <strong>Iiro Alhonmäki</strong> (Valio) discuss how AI empowers people, enhances quality, and integrates information across systems to create smarter, safer, and more collaborative industrial environments.</p><p>They share how focusing on real business challenges – rather than hype – unlocks the true potential of AI in manufacturing.</p><p><strong>Guests:</strong><br>Samppa Lahtinen, Senior Manager, Industry Solutions, M-Files<br>Iiro Alhonmäki, IT Service Manager, Valio<br><strong>Host:</strong> Mia Backman, DIMECC</p>]]>
      </description>
      <content:encoded>
        <![CDATA[<p><br></p><p><em>Connectivity, confidentiality, and curation</em> – the three pillars of successful AI in manufacturing, where technology strengthens human capability and builds trust in data-driven decision-making.</p><p>In this episode of <em>MPD Q, A &amp; I</em>, <strong>Samppa Lahtinen</strong> (M-Files) and <strong>Iiro Alhonmäki</strong> (Valio) discuss how AI empowers people, enhances quality, and integrates information across systems to create smarter, safer, and more collaborative industrial environments.</p><p>They share how focusing on real business challenges – rather than hype – unlocks the true potential of AI in manufacturing.</p><p><strong>Guests:</strong><br>Samppa Lahtinen, Senior Manager, Industry Solutions, M-Files<br>Iiro Alhonmäki, IT Service Manager, Valio<br><strong>Host:</strong> Mia Backman, DIMECC</p>]]>
      </content:encoded>
      <pubDate>Wed, 22 Oct 2025 14:50:43 +0300</pubDate>
      <author>Manufacturing Performance Days</author>
      <enclosure url="https://media.transistor.fm/e2cab91a/68258654.mp3" length="70600455" type="audio/mpeg"/>
      <itunes:author>Manufacturing Performance Days</itunes:author>
      <itunes:duration>1764</itunes:duration>
      <itunes:summary>
        <![CDATA[<p><br></p><p><em>Connectivity, confidentiality, and curation</em> – the three pillars of successful AI in manufacturing, where technology strengthens human capability and builds trust in data-driven decision-making.</p><p>In this episode of <em>MPD Q, A &amp; I</em>, <strong>Samppa Lahtinen</strong> (M-Files) and <strong>Iiro Alhonmäki</strong> (Valio) discuss how AI empowers people, enhances quality, and integrates information across systems to create smarter, safer, and more collaborative industrial environments.</p><p>They share how focusing on real business challenges – rather than hype – unlocks the true potential of AI in manufacturing.</p><p><strong>Guests:</strong><br>Samppa Lahtinen, Senior Manager, Industry Solutions, M-Files<br>Iiro Alhonmäki, IT Service Manager, Valio<br><strong>Host:</strong> Mia Backman, DIMECC</p>]]>
      </itunes:summary>
      <itunes:keywords></itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
    </item>
    <item>
      <title>MPD Q, A &amp; I – AI Step by Step: How to Get Real Business Value with Netum</title>
      <itunes:episode>8</itunes:episode>
      <podcast:episode>8</podcast:episode>
      <itunes:title>MPD Q, A &amp; I – AI Step by Step: How to Get Real Business Value with Netum</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <guid isPermaLink="false">d843698d-02cb-4d63-a290-bd0116bd0a2d</guid>
      <link>https://share.transistor.fm/s/d84e0416</link>
      <description>
        <![CDATA[<p>With 80% of AI proof-of-concepts never reaching production, what’s missing? In this episode, we challenge the notion that technological readiness alone drives transformation. </p><p>According to Netum’s Chief AI Officer Jani Henriksson, it starts, and ends, with business value. From smart, small steps to integrating AI into your value chain, we explore how to approach AI not as a tech trend but as a strategic transformation. Learn how to identify the right use cases, manage organizational change, and avoid the common pitfalls.</p><p>Episode guest: Jani Henriksson, Chief AI Officer, Netum<br>Host: Mia Backman, DIMECC<br>Produced by Manufacturing Performance Days</p>]]>
      </description>
      <content:encoded>
        <![CDATA[<p>With 80% of AI proof-of-concepts never reaching production, what’s missing? In this episode, we challenge the notion that technological readiness alone drives transformation. </p><p>According to Netum’s Chief AI Officer Jani Henriksson, it starts, and ends, with business value. From smart, small steps to integrating AI into your value chain, we explore how to approach AI not as a tech trend but as a strategic transformation. Learn how to identify the right use cases, manage organizational change, and avoid the common pitfalls.</p><p>Episode guest: Jani Henriksson, Chief AI Officer, Netum<br>Host: Mia Backman, DIMECC<br>Produced by Manufacturing Performance Days</p>]]>
      </content:encoded>
      <pubDate>Fri, 09 May 2025 09:52:59 +0300</pubDate>
      <author>Manufacturing Performance Days</author>
      <enclosure url="https://media.transistor.fm/d84e0416/6d778a90.mp3" length="16639488" type="audio/mpeg"/>
      <itunes:author>Manufacturing Performance Days</itunes:author>
      <itunes:duration>1036</itunes:duration>
      <itunes:summary>
        <![CDATA[<p>With 80% of AI proof-of-concepts never reaching production, what’s missing? In this episode, we challenge the notion that technological readiness alone drives transformation. </p><p>According to Netum’s Chief AI Officer Jani Henriksson, it starts, and ends, with business value. From smart, small steps to integrating AI into your value chain, we explore how to approach AI not as a tech trend but as a strategic transformation. Learn how to identify the right use cases, manage organizational change, and avoid the common pitfalls.</p><p>Episode guest: Jani Henriksson, Chief AI Officer, Netum<br>Host: Mia Backman, DIMECC<br>Produced by Manufacturing Performance Days</p>]]>
      </itunes:summary>
      <itunes:keywords></itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
    </item>
    <item>
      <title>MPD Q, A &amp; I – Can We Trust AI? Cybersecurity and Manufacturing with FISC</title>
      <itunes:episode>7</itunes:episode>
      <podcast:episode>7</podcast:episode>
      <itunes:title>MPD Q, A &amp; I – Can We Trust AI? Cybersecurity and Manufacturing with FISC</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <guid isPermaLink="false">be4f7a1d-3b67-4810-918e-75836761facf</guid>
      <link>https://share.transistor.fm/s/ad1c0167</link>
      <description>
        <![CDATA[<p>Can AI systems be trusted in manufacturing? In this episode of <em>MPD Q, A &amp; I</em>, we explore one of the most critical and complex questions facing the industrial AI revolution: trust. Our guest, Peter Sund, CEO of the Finnish Information Security Cluster (FISC), a branch of the Technology Industries of Finland, points out a sobering truth: while AI strengthens cybersecurity, it also enables more sophisticated criminal activity.</p><p>Episode guest:<br>Peter Sund, CEO, Finnish Information Security Cluster (FISC)<br>Host: Mia Backman, DIMECC</p><p>Produced by: Manufacturing Performance Days</p>]]>
      </description>
      <content:encoded>
        <![CDATA[<p>Can AI systems be trusted in manufacturing? In this episode of <em>MPD Q, A &amp; I</em>, we explore one of the most critical and complex questions facing the industrial AI revolution: trust. Our guest, Peter Sund, CEO of the Finnish Information Security Cluster (FISC), a branch of the Technology Industries of Finland, points out a sobering truth: while AI strengthens cybersecurity, it also enables more sophisticated criminal activity.</p><p>Episode guest:<br>Peter Sund, CEO, Finnish Information Security Cluster (FISC)<br>Host: Mia Backman, DIMECC</p><p>Produced by: Manufacturing Performance Days</p>]]>
      </content:encoded>
      <pubDate>Fri, 09 May 2025 06:02:00 +0300</pubDate>
      <author>Manufacturing Performance Days</author>
      <enclosure url="https://media.transistor.fm/ad1c0167/77d546b4.mp3" length="82590144" type="audio/mpeg"/>
      <itunes:author>Manufacturing Performance Days</itunes:author>
      <itunes:duration>2064</itunes:duration>
      <itunes:summary>
        <![CDATA[<p>Can AI systems be trusted in manufacturing? In this episode of <em>MPD Q, A &amp; I</em>, we explore one of the most critical and complex questions facing the industrial AI revolution: trust. Our guest, Peter Sund, CEO of the Finnish Information Security Cluster (FISC), a branch of the Technology Industries of Finland, points out a sobering truth: while AI strengthens cybersecurity, it also enables more sophisticated criminal activity.</p><p>Episode guest:<br>Peter Sund, CEO, Finnish Information Security Cluster (FISC)<br>Host: Mia Backman, DIMECC</p><p>Produced by: Manufacturing Performance Days</p>]]>
      </itunes:summary>
      <itunes:keywords></itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
    </item>
    <item>
      <title>MPD Q, A &amp; I – Rethinking Quality Assurance Using AI and Computer Vision with Top Data Science</title>
      <itunes:episode>6</itunes:episode>
      <podcast:episode>6</podcast:episode>
      <itunes:title>MPD Q, A &amp; I – Rethinking Quality Assurance Using AI and Computer Vision with Top Data Science</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <guid isPermaLink="false">b38b3375-32da-4dbd-aa97-465454678ec1</guid>
      <link>https://share.transistor.fm/s/67aa907a</link>
      <description>
        <![CDATA[<p>What if AI-based automation could improve your quality assurance without massive data requirements? In this episode of MPD Q, A &amp; I, Kai Lehtinen, CEO of Top Data Science, shares how visual inspection using computer vision can deliver real results in manufacturing, even if you're starting without historical data. How do you turn a concrete business challenge into an automation solution that scales and delivers measurable value?</p><p>Episode guests: Kai Lehtinen, CEO, Top Data Science</p><p>Host: Mia Backman, DIMECC</p><p>Produced by Manufacturing Performance Days</p>]]>
      </description>
      <content:encoded>
        <![CDATA[<p>What if AI-based automation could improve your quality assurance without massive data requirements? In this episode of MPD Q, A &amp; I, Kai Lehtinen, CEO of Top Data Science, shares how visual inspection using computer vision can deliver real results in manufacturing, even if you're starting without historical data. How do you turn a concrete business challenge into an automation solution that scales and delivers measurable value?</p><p>Episode guests: Kai Lehtinen, CEO, Top Data Science</p><p>Host: Mia Backman, DIMECC</p><p>Produced by Manufacturing Performance Days</p>]]>
      </content:encoded>
      <pubDate>Fri, 09 May 2025 06:01:00 +0300</pubDate>
      <author>Manufacturing Performance Days</author>
      <enclosure url="https://media.transistor.fm/67aa907a/efc1a535.mp3" length="85460544" type="audio/mpeg"/>
      <itunes:author>Manufacturing Performance Days</itunes:author>
      <itunes:duration>2135</itunes:duration>
      <itunes:summary>
        <![CDATA[<p>What if AI-based automation could improve your quality assurance without massive data requirements? In this episode of MPD Q, A &amp; I, Kai Lehtinen, CEO of Top Data Science, shares how visual inspection using computer vision can deliver real results in manufacturing, even if you're starting without historical data. How do you turn a concrete business challenge into an automation solution that scales and delivers measurable value?</p><p>Episode guests: Kai Lehtinen, CEO, Top Data Science</p><p>Host: Mia Backman, DIMECC</p><p>Produced by Manufacturing Performance Days</p>]]>
      </itunes:summary>
      <itunes:keywords></itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
    </item>
    <item>
      <title>MPD Q, A &amp; I – Flexible Manufacturing in Practice: How Fastems and Ingersoll Rand Enable AI</title>
      <itunes:episode>5</itunes:episode>
      <podcast:episode>5</podcast:episode>
      <itunes:title>MPD Q, A &amp; I – Flexible Manufacturing in Practice: How Fastems and Ingersoll Rand Enable AI</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <guid isPermaLink="false">22b37547-da84-4bcd-8e3a-0112f369d72a</guid>
      <link>https://share.transistor.fm/s/4544b7ef</link>
      <description>
        <![CDATA[<p>In this episode, we explore how flexible manufacturing and AI come together in practice, through the lens of Ingersoll Rand’s large factory investment. Joined by Fastems CEO Mikko Nyman and Ingersoll Rand’s Jani Mannila, we walk through a 4-step roadmap that shows how manufacturers can move from isolated automation to intelligent, real-time process optimization. Why is flexibility so critical, and how do we build the stable foundations AI demands?</p><p>Episode guests: Jani Mannila, Manager of Production and Method Engineering, Ingersoll Rand<br>Mikko Nyman, CEO, Fastems<br>Host: Mia Backman, DIMECC</p><p><br>Produced by Manufacturing Performance Days</p>]]>
      </description>
      <content:encoded>
        <![CDATA[<p>In this episode, we explore how flexible manufacturing and AI come together in practice, through the lens of Ingersoll Rand’s large factory investment. Joined by Fastems CEO Mikko Nyman and Ingersoll Rand’s Jani Mannila, we walk through a 4-step roadmap that shows how manufacturers can move from isolated automation to intelligent, real-time process optimization. Why is flexibility so critical, and how do we build the stable foundations AI demands?</p><p>Episode guests: Jani Mannila, Manager of Production and Method Engineering, Ingersoll Rand<br>Mikko Nyman, CEO, Fastems<br>Host: Mia Backman, DIMECC</p><p><br>Produced by Manufacturing Performance Days</p>]]>
      </content:encoded>
      <pubDate>Fri, 09 May 2025 06:00:00 +0300</pubDate>
      <author>Manufacturing Performance Days</author>
      <enclosure url="https://media.transistor.fm/4544b7ef/c6d668e1.mp3" length="85974144" type="audio/mpeg"/>
      <itunes:author>Manufacturing Performance Days</itunes:author>
      <itunes:duration>2148</itunes:duration>
      <itunes:summary>
        <![CDATA[<p>In this episode, we explore how flexible manufacturing and AI come together in practice, through the lens of Ingersoll Rand’s large factory investment. Joined by Fastems CEO Mikko Nyman and Ingersoll Rand’s Jani Mannila, we walk through a 4-step roadmap that shows how manufacturers can move from isolated automation to intelligent, real-time process optimization. Why is flexibility so critical, and how do we build the stable foundations AI demands?</p><p>Episode guests: Jani Mannila, Manager of Production and Method Engineering, Ingersoll Rand<br>Mikko Nyman, CEO, Fastems<br>Host: Mia Backman, DIMECC</p><p><br>Produced by Manufacturing Performance Days</p>]]>
      </itunes:summary>
      <itunes:keywords></itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
    </item>
    <item>
      <title>MPD Q, A &amp; I – Accelerating Innovation with AI by VTT</title>
      <itunes:episode>4</itunes:episode>
      <podcast:episode>4</podcast:episode>
      <itunes:title>MPD Q, A &amp; I – Accelerating Innovation with AI by VTT</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <guid isPermaLink="false">341974bf-b2d3-442a-ac77-a1204820f8d8</guid>
      <link>https://share.transistor.fm/s/401dd88e</link>
      <description>
        <![CDATA[<p>Do we truly understand the extent of AI’s influence in manufacturing?</p><p>In this episode, we explore how research-driven innovation can accelerate AI adoption in industry. We dive into how organizations like VTT Technical Research Centre of Finland<br>are helping to shape the future of manufacturing through applied science, strategic collaboration, and bold thinking, sharing real-world examples like an AI-based quality system that saved 700 truckloads of material.</p><p><strong>Episode guest:</strong> <strong>Riikka Virkkunen</strong>, Professor of Practice, VTT Technical Research Centre of Finland<br><strong>Host:</strong> <strong>Mia Backman</strong>, DIMECC<br><strong>Produced by:</strong> Manufacturing Performance Days</p>]]>
      </description>
      <content:encoded>
        <![CDATA[<p>Do we truly understand the extent of AI’s influence in manufacturing?</p><p>In this episode, we explore how research-driven innovation can accelerate AI adoption in industry. We dive into how organizations like VTT Technical Research Centre of Finland<br>are helping to shape the future of manufacturing through applied science, strategic collaboration, and bold thinking, sharing real-world examples like an AI-based quality system that saved 700 truckloads of material.</p><p><strong>Episode guest:</strong> <strong>Riikka Virkkunen</strong>, Professor of Practice, VTT Technical Research Centre of Finland<br><strong>Host:</strong> <strong>Mia Backman</strong>, DIMECC<br><strong>Produced by:</strong> Manufacturing Performance Days</p>]]>
      </content:encoded>
      <pubDate>Mon, 28 Apr 2025 00:37:41 +0300</pubDate>
      <author>Manufacturing Performance Days</author>
      <enclosure url="https://media.transistor.fm/401dd88e/1cc1b8f1.mp3" length="15020928" type="audio/mpeg"/>
      <itunes:author>Manufacturing Performance Days</itunes:author>
      <itunes:duration>935</itunes:duration>
      <itunes:summary>
        <![CDATA[<p>Do we truly understand the extent of AI’s influence in manufacturing?</p><p>In this episode, we explore how research-driven innovation can accelerate AI adoption in industry. We dive into how organizations like VTT Technical Research Centre of Finland<br>are helping to shape the future of manufacturing through applied science, strategic collaboration, and bold thinking, sharing real-world examples like an AI-based quality system that saved 700 truckloads of material.</p><p><strong>Episode guest:</strong> <strong>Riikka Virkkunen</strong>, Professor of Practice, VTT Technical Research Centre of Finland<br><strong>Host:</strong> <strong>Mia Backman</strong>, DIMECC<br><strong>Produced by:</strong> Manufacturing Performance Days</p>]]>
      </itunes:summary>
      <itunes:keywords></itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
    </item>
    <item>
      <title>MPD Q, A &amp; I – Model-Based Approach by Dassault Systèmes</title>
      <itunes:episode>3</itunes:episode>
      <podcast:episode>3</podcast:episode>
      <itunes:title>MPD Q, A &amp; I – Model-Based Approach by Dassault Systèmes</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <guid isPermaLink="false">c90e2bf5-8133-40bf-a128-a5ceee238d3a</guid>
      <link>https://share.transistor.fm/s/948dd92f</link>
      <description>
        <![CDATA[<p>Are we still operating with practices from the past? How does AI influence companies' business models in manufacturing?</p><p>This episode explores the model-based approach and model thinking as tools to establish real product lifecycle management.</p><p>Episode guests: <strong>Juha Burtsoff</strong>, Sales Executive, Dassault Systèmes</p><p><strong>Pekka Lähteinen</strong>, Director Technical Sales and Business Consulting, Dassault Systèmes</p><p>Host: <strong>Mia Backman</strong>, DIMECC</p><p>Produced by Manufacturing Performance Days</p>]]>
      </description>
      <content:encoded>
        <![CDATA[<p>Are we still operating with practices from the past? How does AI influence companies' business models in manufacturing?</p><p>This episode explores the model-based approach and model thinking as tools to establish real product lifecycle management.</p><p>Episode guests: <strong>Juha Burtsoff</strong>, Sales Executive, Dassault Systèmes</p><p><strong>Pekka Lähteinen</strong>, Director Technical Sales and Business Consulting, Dassault Systèmes</p><p>Host: <strong>Mia Backman</strong>, DIMECC</p><p>Produced by Manufacturing Performance Days</p>]]>
      </content:encoded>
      <pubDate>Mon, 28 Apr 2025 00:31:29 +0300</pubDate>
      <author>Manufacturing Performance Days</author>
      <enclosure url="https://media.transistor.fm/948dd92f/a936e79a.mp3" length="33785472" type="audio/mpeg"/>
      <itunes:author>Manufacturing Performance Days</itunes:author>
      <itunes:duration>2108</itunes:duration>
      <itunes:summary>
        <![CDATA[<p>Are we still operating with practices from the past? How does AI influence companies' business models in manufacturing?</p><p>This episode explores the model-based approach and model thinking as tools to establish real product lifecycle management.</p><p>Episode guests: <strong>Juha Burtsoff</strong>, Sales Executive, Dassault Systèmes</p><p><strong>Pekka Lähteinen</strong>, Director Technical Sales and Business Consulting, Dassault Systèmes</p><p>Host: <strong>Mia Backman</strong>, DIMECC</p><p>Produced by Manufacturing Performance Days</p>]]>
      </itunes:summary>
      <itunes:keywords></itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
    </item>
    <item>
      <title>MPD Q, A &amp; I – AI and Fairy Dust by Reaktor</title>
      <itunes:episode>2</itunes:episode>
      <podcast:episode>2</podcast:episode>
      <itunes:title>MPD Q, A &amp; I – AI and Fairy Dust by Reaktor</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <guid isPermaLink="false">5d3b44ac-8211-46a8-abd2-eb293d6f229b</guid>
      <link>https://share.transistor.fm/s/438f5c2d</link>
      <description>
        <![CDATA[<p>Where’s the real value in AI for manufacturing, and why do so many companies still miss it?</p><p>In this episode, we dig into the essential questions every manufacturing company should be asking when investing in artificial intelligence. From common pitfalls to future breakthroughs, we explore what it truly takes to create business value with AI, not just sprinkle it on like fairy dust.</p><p>Episode guests: <strong>Marko Aalto</strong>, Vice President, AI, Reaktor</p><p><strong>Markku Myllylahti</strong>, Vice President, Industrial, Reaktor</p><p>Host: <strong>Mia Backman</strong>, DIMECC</p><p>Produced by Manufacturing Performance Days</p>]]>
      </description>
      <content:encoded>
        <![CDATA[<p>Where’s the real value in AI for manufacturing, and why do so many companies still miss it?</p><p>In this episode, we dig into the essential questions every manufacturing company should be asking when investing in artificial intelligence. From common pitfalls to future breakthroughs, we explore what it truly takes to create business value with AI, not just sprinkle it on like fairy dust.</p><p>Episode guests: <strong>Marko Aalto</strong>, Vice President, AI, Reaktor</p><p><strong>Markku Myllylahti</strong>, Vice President, Industrial, Reaktor</p><p>Host: <strong>Mia Backman</strong>, DIMECC</p><p>Produced by Manufacturing Performance Days</p>]]>
      </content:encoded>
      <pubDate>Mon, 28 Apr 2025 00:29:18 +0300</pubDate>
      <author>Manufacturing Performance Days</author>
      <enclosure url="https://media.transistor.fm/438f5c2d/b189d2f1.mp3" length="102839424" type="audio/mpeg"/>
      <itunes:author>Manufacturing Performance Days</itunes:author>
      <itunes:duration>2570</itunes:duration>
      <itunes:summary>
        <![CDATA[<p>Where’s the real value in AI for manufacturing, and why do so many companies still miss it?</p><p>In this episode, we dig into the essential questions every manufacturing company should be asking when investing in artificial intelligence. From common pitfalls to future breakthroughs, we explore what it truly takes to create business value with AI, not just sprinkle it on like fairy dust.</p><p>Episode guests: <strong>Marko Aalto</strong>, Vice President, AI, Reaktor</p><p><strong>Markku Myllylahti</strong>, Vice President, Industrial, Reaktor</p><p>Host: <strong>Mia Backman</strong>, DIMECC</p><p>Produced by Manufacturing Performance Days</p>]]>
      </itunes:summary>
      <itunes:keywords></itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
    </item>
    <item>
      <title>MPD Q, A &amp; I – AI That Delivers: Manufacturing Value with Siemens</title>
      <itunes:episode>1</itunes:episode>
      <podcast:episode>1</podcast:episode>
      <itunes:title>MPD Q, A &amp; I – AI That Delivers: Manufacturing Value with Siemens</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <guid isPermaLink="false">ebdff9dd-2564-42f8-8b1c-a695d94dfefd</guid>
      <link>https://share.transistor.fm/s/9af60706</link>
      <description>
        <![CDATA[<p>Can the industry afford to leave untested the opportunities offered by industrial AI?</p><p>In this episode, we take a deep dive into the evolving role of artificial intelligence in the manufacturing sector. We ask: is AI the right tool, or just a tempting one? And perhaps most importantly, does Finnish industry still dare to dream?</p><p>Episode guests:<strong> Janne</strong> <strong>Öhman</strong>, CEO, Siemens in Finland and the Baltics</p><p><strong>Jyrki Keinänen</strong>, Lead Solution Architect, Siemens in Finland and the Baltics</p><p>Host: <strong>Mia Backman</strong>, DIMECC</p><p>Produced by Manufacturing Performance Days</p>]]>
      </description>
      <content:encoded>
        <![CDATA[<p>Can the industry afford to leave untested the opportunities offered by industrial AI?</p><p>In this episode, we take a deep dive into the evolving role of artificial intelligence in the manufacturing sector. We ask: is AI the right tool, or just a tempting one? And perhaps most importantly, does Finnish industry still dare to dream?</p><p>Episode guests:<strong> Janne</strong> <strong>Öhman</strong>, CEO, Siemens in Finland and the Baltics</p><p><strong>Jyrki Keinänen</strong>, Lead Solution Architect, Siemens in Finland and the Baltics</p><p>Host: <strong>Mia Backman</strong>, DIMECC</p><p>Produced by Manufacturing Performance Days</p>]]>
      </content:encoded>
      <pubDate>Mon, 28 Apr 2025 00:22:00 +0300</pubDate>
      <author>Manufacturing Performance Days</author>
      <enclosure url="https://media.transistor.fm/9af60706/b88b9483.mp3" length="32915712" type="audio/mpeg"/>
      <itunes:author>Manufacturing Performance Days</itunes:author>
      <itunes:duration>2054</itunes:duration>
      <itunes:summary>
        <![CDATA[<p>Can the industry afford to leave untested the opportunities offered by industrial AI?</p><p>In this episode, we take a deep dive into the evolving role of artificial intelligence in the manufacturing sector. We ask: is AI the right tool, or just a tempting one? And perhaps most importantly, does Finnish industry still dare to dream?</p><p>Episode guests:<strong> Janne</strong> <strong>Öhman</strong>, CEO, Siemens in Finland and the Baltics</p><p><strong>Jyrki Keinänen</strong>, Lead Solution Architect, Siemens in Finland and the Baltics</p><p>Host: <strong>Mia Backman</strong>, DIMECC</p><p>Produced by Manufacturing Performance Days</p>]]>
      </itunes:summary>
      <itunes:keywords></itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
    </item>
  </channel>
</rss>
