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index 0d46d41..23da20e 100644
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index 18b095a..6562a01 100644
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+++ b/blog/index.html
@@ -253,7 +253,7 @@ <h1 class="title">Blog posts</h1>
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+<div class="quarto-post image-right" data-index="0" data-categories="nederlands,podcast,data commons,data solidarity" data-listing-date-sort="1684368000000" data-listing-file-modified-sort="1693055032865" data-listing-date-modified-sort="NaN" data-listing-reading-time-sort="1">
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+<div class="quarto-post image-right" data-index="1" data-categories="nederlands,data commons,data solidarity" data-listing-date-sort="1672099200000" data-listing-file-modified-sort="1693055032861" data-listing-date-modified-sort="NaN" data-listing-reading-time-sort="6">
 <div class="thumbnail">
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 </div>
@@ -338,7 +338,7 @@ <h3 class="no-anchor listing-title">
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+<div class="quarto-post image-right" data-index="2" data-categories="nederlands,podcast,responsible ai" data-listing-date-sort="1656979200000" data-listing-file-modified-sort="1693055032865" data-listing-date-modified-sort="NaN" data-listing-reading-time-sort="1">
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+<div class="quarto-post image-right" data-index="7" data-categories="nederlands,health data commons,data solidarity" data-listing-date-sort="1614556800000" data-listing-file-modified-sort="1693055032865" data-listing-date-modified-sort="NaN" data-listing-reading-time-sort="1">
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diff --git a/blog/index.xml b/blog/index.xml
index 762982a..5ae5a55 100644
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diff --git a/images/noun-generative-ai.png b/images/noun-generative-ai.png
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diff --git a/index.html b/index.html
index 3b42e46..79d6698 100644
--- a/index.html
+++ b/index.html
@@ -227,7 +227,7 @@ <h1 class="display-5 fw-bold">Looking<br>to do more<br>with data and AI?</h1>
 <h1></h1>
 <p>Many people continue to have high expections of what data and AI can bring. Yet, the majority of organizations struggle to capture real value from data and AI-driven innovations. Studies have shown that up to 95% of such innovations never make it past the proof-of-concept stage into full-scale operations.</p>
 <p>The key towards creating sustainable change with digital technologies lies in increasing your own data literacy and understanding of AI, and that of your organization. AI is not sci-fi, we need to demystify digital technologies. That way, professionals and domain experts can obtain strategic autonomy to reason, think, imagine en create applications of AI themselves. Technology can only be of value when it is put within the appropriate business, societal or human context.</p>
-<p>How? Read on. <br></p>
+<p>How? Read on. <br><br></p>
 <div id="light-grey-background">
 <div class="grid">
 <section id="data-centric-ai" class="level3 g-col-8">
@@ -244,7 +244,7 @@ <h3 data-anchor-id="data-centric-ai">Data-centric AI</h3>
 <div id="applied-ai">
 <div class="grid">
 <div class="g-col-4">
-<p><img src="images/generative-ai.png" class="img-fluid"></p>
+<p><img src="images/noun-generative-ai.png" class="img-fluid"></p>
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 <section id="applied-ai" class="level3 g-col-8">
 <h3 data-anchor-id="applied-ai">Applied AI</h3>
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 </section>
 </div>
 </div>
+<p><br></p>
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 </div>
 <section id="masterclasses-public-speaking" class="level3 g-col-8">
 <h3 data-anchor-id="masterclasses-public-speaking">Masterclasses &amp; public speaking</h3>
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+<p>We provide masterclasses on topics related to data &amp; AI. It provides a fundamental basis from basics to concepting, even implementation. For larger audiences, we create workshops or provide key-note speakers so more and more professionals obtain a better understanding of data and AI.</p>
+<p><small class="text-muted">Keynote speeches | Masterclasses for management and executives | Inspirational lectures</small></p>
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@@ -285,6 +287,7 @@ <h3 data-anchor-id="masterclasses-public-speaking">Masterclasses &amp; public sp
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index 478927a..44f075a 100644
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diff --git a/projects/index.xml b/projects/index.xml
index 7b3545e..20c0401 100644
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   <category>healthcare</category>
   <guid>https://masteringdata.ai/projects/blue-radix.html</guid>
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   <category>healthcare</category>
   <guid>https://masteringdata.ai/projects/pharmaccess.html</guid>
-  <pubDate>Sat, 26 Aug 2023 12:36:40 GMT</pubDate>
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-  <pubDate>Sat, 26 Aug 2023 12:36:40 GMT</pubDate>
+  <pubDate>Sat, 26 Aug 2023 13:05:47 GMT</pubDate>
   <media:content url="https://masteringdata.ai/images/sensire.jpg" medium="image" type="image/jpeg"/>
 </item>
 <item>
@@ -84,7 +84,7 @@
   <category>data architecture</category>
   <category>sustainability</category>
   <guid>https://masteringdata.ai/projects/roetz-life.html</guid>
-  <pubDate>Sat, 26 Aug 2023 12:36:40 GMT</pubDate>
+  <pubDate>Sat, 26 Aug 2023 13:05:47 GMT</pubDate>
   <media:content url="https://masteringdata.ai/images/roetz-life.jpg" medium="image" type="image/jpeg"/>
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 <item>
@@ -104,7 +104,7 @@
   <category>AI</category>
   <category>agriculture</category>
   <guid>https://masteringdata.ai/projects/has.html</guid>
-  <pubDate>Sat, 26 Aug 2023 12:36:40 GMT</pubDate>
+  <pubDate>Sat, 26 Aug 2023 13:05:47 GMT</pubDate>
   <media:content url="https://masteringdata.ai/images/has.png" medium="image" type="image/png" height="81" width="144"/>
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@@ -123,7 +123,7 @@
   <category>generative AI</category>
   <category>healthcare</category>
   <guid>https://masteringdata.ai/projects/mytomorrows.html</guid>
-  <pubDate>Sat, 26 Aug 2023 12:36:40 GMT</pubDate>
+  <pubDate>Sat, 26 Aug 2023 13:05:47 GMT</pubDate>
   <media:content url="https://masteringdata.ai/images/mytomorrows.png" medium="image" type="image/png" height="75" width="144"/>
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@@ -144,7 +144,7 @@
   <category>mentoring</category>
   <category>healthcare</category>
   <guid>https://masteringdata.ai/projects/amphia.html</guid>
-  <pubDate>Sat, 26 Aug 2023 12:36:40 GMT</pubDate>
+  <pubDate>Sat, 26 Aug 2023 13:05:47 GMT</pubDate>
   <media:content url="https://masteringdata.ai/images/amphia-sensium.jpg" medium="image" type="image/jpeg"/>
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index ee06ed6..d1fffe7 100644
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     "title": "Lookingto do morewith data and AI?",
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-    "text": "Lookingto do morewith data and AI?\n    \n  \n\n\n   DATA-CENTRIC AI   |   APPLIED AI   |   COACHING & MENTORING   |   MASTERCLASSES & PUBLIC SPEAKING\n\n\n\n\n\nMany people continue to have high expections of what data and AI can bring. Yet, the majority of organizations struggle to capture real value from data and AI-driven innovations. Studies have shown that up to 95% of such innovations never make it past the proof-of-concept stage into full-scale operations.\nThe key towards creating sustainable change with digital technologies lies in increasing your own data literacy and understanding of AI, and that of your organization. AI is not sci-fi, we need to demystify digital technologies. That way, professionals and domain experts can obtain strategic autonomy to reason, think, imagine en create applications of AI themselves. Technology can only be of value when it is put within the appropriate business, societal or human context.\nHow? Read on. \n\n\n\nData-centric AI\nData sit at the core of digital business transformation. As machine learning algorithms mature, the biggest challenge in making AI work is to improve the quality and scale of the data required to train AI. In our experience most AI projects fail because existing data platforms lack the reliability, flexibility and performance to effectively develop and deploy AI systems. We systematically engineer data so it can be used by AI systems. To improve your systems, drive innovation and enable data-based decision intelligence. We call that data-centric AI.\nData Architecture | MLOps (Machine Learning Operations) | Federated Learning | Privacy-Enhancing Technologies\n\n\n\n\n\n\n\n\n\n\n\n\n\nApplied AI\nThe possibilities of AI are virtually endless and can fundamentally change the way you run your business or lead your organisation. It changes business strategies, policies as well as the behaviour of your teams. If your company embarks on integrating AI, it needs to do what is relevant and what you want it for. We developed impactful AI applications that are accurate. We take into account the factors that drive the predictions and relate it to physical systems and domain expertise. And help you transform and drive AI innovation in your services or products.\nExplainable AI | Generative AI & Large Language Models | Physics-Informed Machine Learning\n\n\n\n\n\n\nCoaching & mentoring\nData and AI will fundamentally change your business, your organisation and your way of working. And not all employees or staff are immediately ready for this. We teach, coach and mentor professionals who require a better understanding of data and artificial intelligence. And make them both comfortable and topic-specialists. We specialise in bespoke masterclasses, built around your organisation and focussing on how AI can impact your line business.\nOne-the-job coaching for individuals and teams | Challenge-based learning | Technical deep-dives for experts\n\n\n\n\n\n\n\n\n\n\n\n\n\nMasterclasses & public speaking\nWe provide masterclasses on topics related to data & AI. It provides a fundamental basis from basics to concepting, even implementation. For larger audiences, we create workshops or provide key-note speakers so more and more professionals obtain a better understanding of data and AI. Keynote speeches | Masterclasses for management and executives | Inspirational lectures\n\n\n\n\n\n\n\n\n\n\n\n  \n    \n      \nAbout me\n\n\n\n\n\n“As a data architect and AI expert I can help you create sustainable change with digital technologies.”\n\n\n\n\n\n\n\nDr Daniel Kapitan (1973) is a well-rounded data scientist and strategic advisor with years of experience in the field of data, machine learning and digital transformation. His knowledge can help companies to identify how to use AI, and how to integrate this into business processes, roles, and day-to-day operations. He aims to create sustainable change in organizations by systematically engineering data that is required for new AI applications.\nWith a PhD in physics from University of Oxford and currently Fellow at the Eindhoven AI Systems Institute (EAISI), Daniel has a strong scientific grounding in the field. He speaks authoritatively about data-driven transformation programs, reducing complexity to ‘informed simplicity’ for even the most challenging data projects. By combining data and AI know-how with industry expertise, he is capable of bringing about end-to-end business transformation for mid-sized companies, government organizations and scale-ups.\nDaniel starts when organizations are ready to embark on their digital journey, and finishes when people are enabled to continue to work with data and AI by themselves.\n\nRoles\nDaniel works as an advisor, architect, lecturer, applied researcher and mentor. He is one of the few specialists in the Netherlands who has the unique combination of corporate experience, scientific research and executive education. Through these various roles he aims to apply ‘AI for good’. He lectures on data and AI, publishes regularly and is an active member of the Data Sharing Coalition to foster data solidarity and secure data sharing for tackling societal issues.\n\n\nAreas of expertise\nExplainable AI, physics-informed machine learning, data-centric AI, data architecture, federated learning, knowledge science, data commons.\n\n\nIndustry focus\nHealthcare, public sector, OEMs and scale-ups for which data and AI are a core element of their strategy.\n\n\n\nContact details\nemail: daniel@kapitan.net  mobile: +31 (0)6 2409 7295\n\n\n    \n    \n  \n\n\n\n\nBook an appointment"
+    "text": "Lookingto do morewith data and AI?\n    \n  \n\n\n   DATA-CENTRIC AI   |   APPLIED AI   |   COACHING & MENTORING   |   MASTERCLASSES & PUBLIC SPEAKING\n\n\n\n\n\nMany people continue to have high expections of what data and AI can bring. Yet, the majority of organizations struggle to capture real value from data and AI-driven innovations. Studies have shown that up to 95% of such innovations never make it past the proof-of-concept stage into full-scale operations.\nThe key towards creating sustainable change with digital technologies lies in increasing your own data literacy and understanding of AI, and that of your organization. AI is not sci-fi, we need to demystify digital technologies. That way, professionals and domain experts can obtain strategic autonomy to reason, think, imagine en create applications of AI themselves. Technology can only be of value when it is put within the appropriate business, societal or human context.\nHow? Read on. \n\n\n\nData-centric AI\nData sit at the core of digital business transformation. As machine learning algorithms mature, the biggest challenge in making AI work is to improve the quality and scale of the data required to train AI. In our experience most AI projects fail because existing data platforms lack the reliability, flexibility and performance to effectively develop and deploy AI systems. We systematically engineer data so it can be used by AI systems. To improve your systems, drive innovation and enable data-based decision intelligence. We call that data-centric AI.\nData Architecture | MLOps (Machine Learning Operations) | Federated Learning | Privacy-Enhancing Technologies\n\n\n\n\n\n\n\n\n\n\n\n\n\nApplied AI\nThe possibilities of AI are virtually endless and can fundamentally change the way you run your business or lead your organisation. It changes business strategies, policies as well as the behaviour of your teams. If your company embarks on integrating AI, it needs to do what is relevant and what you want it for. We developed impactful AI applications that are accurate. We take into account the factors that drive the predictions and relate it to physical systems and domain expertise. And help you transform and drive AI innovation in your services or products.\nExplainable AI | Generative AI & Large Language Models | Physics-Informed Machine Learning\n\n\n\n\n\n\n\nCoaching & mentoring\nData and AI will fundamentally change your business, your organisation and your way of working. And not all employees or staff are immediately ready for this. We teach, coach and mentor professionals who require a better understanding of data and artificial intelligence. And make them both comfortable and topic-specialists. 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For larger audiences, we create workshops or provide key-note speakers so more and more professionals obtain a better understanding of data and AI.\nKeynote speeches | Masterclasses for management and executives | Inspirational lectures\n\n\n\n\n\n\n\n\n\n\n\n  \n    \n      \nAbout me\n\n\n\n\n\n“As a data architect and AI expert I can help you create sustainable change with digital technologies.”\n\n\n\n\n\n\n\nDr Daniel Kapitan (1973) is a well-rounded data scientist and strategic advisor with years of experience in the field of data, machine learning and digital transformation. His knowledge can help companies to identify how to use AI, and how to integrate this into business processes, roles, and day-to-day operations. He aims to create sustainable change in organizations by systematically engineering data that is required for new AI applications.\nWith a PhD in physics from University of Oxford and currently Fellow at the Eindhoven AI Systems Institute (EAISI), Daniel has a strong scientific grounding in the field. He speaks authoritatively about data-driven transformation programs, reducing complexity to ‘informed simplicity’ for even the most challenging data projects. By combining data and AI know-how with industry expertise, he is capable of bringing about end-to-end business transformation for mid-sized companies, government organizations and scale-ups.\nDaniel starts when organizations are ready to embark on their digital journey, and finishes when people are enabled to continue to work with data and AI by themselves.\n\nRoles\nDaniel works as an advisor, architect, lecturer, applied researcher and mentor. He is one of the few specialists in the Netherlands who has the unique combination of corporate experience, scientific research and executive education. Through these various roles he aims to apply ‘AI for good’. He lectures on data and AI, publishes regularly and is an active member of the Data Sharing Coalition to foster data solidarity and secure data sharing for tackling societal issues.\n\n\nAreas of expertise\nExplainable AI, physics-informed machine learning, data-centric AI, data architecture, federated learning, knowledge science, data commons.\n\n\nIndustry focus\nHealthcare, public sector, OEMs and scale-ups for which data and AI are a core element of their strategy.\n\n\n\nContact details\nemail: daniel@kapitan.net  mobile: +31 (0)6 2409 7295\n\n\n    \n    \n  \n\n\n\n\nBook an appointment"
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