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            <title>AI Watch: Episode #18 - AI Risk and Data Science: A Crucial Partnership</title>
            <link>http://events.2021.ai/ai-watch-episode-18-ai-risk-and</link>
            <description>&lt;p&gt;Join us in this episode of AI Watch as we explore the critical collaboration between data scientists and risk professionals in building responsible AI. Discover how they work together to establish context, identify risks, and monitor models, ensuring the safe and ethical deployment of AI technologies.&lt;/p&gt;
&lt;p&gt;Check our website: https://2021.ai/&lt;br /&gt;
Listen on Spotify: https://open.spotify.com/episode/1RYgp0cLywhF3CXAU8ALpc?si=63e5cfd384b447ef&lt;/p&gt;
&lt;p&gt;CHAPTERS&lt;br /&gt;
00:00 Intro&lt;br /&gt;
00:53 When is collaboration between the AI Risk advisor and data scientist needed?&lt;br /&gt;
1:22 What important risks require this collaboration?&lt;br /&gt;
3:00 Data scientist perspective on risk management&lt;br /&gt;
3:51 How a risk assessment process will look with this collaboration&lt;br /&gt;
7:13 Bias in the process&lt;/p&gt;&lt;p&gt;&lt;a href="http://events.2021.ai/ai-watch-episode-18-ai-risk-and"&gt;&lt;img src="http://events.2021.ai/64968571/103008480/b9579c11a3735003d2f804273c1831d1/standard/download-34-thumbnail.jpg" width="75" height=""/&gt;&lt;/a&gt;&lt;/p&gt;</description>
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            <pubDate>Wed, 10 Jul 2024 00:00:00 GMT</pubDate>
            <media:title>AI Watch: Episode #18 - AI Risk and Data Science: A Crucial Partnership</media:title>
            <itunes:summary>Join us in this episode of AI Watch as we explore the critical collaboration between data scientists and risk professionals in building responsible AI. Discover how they work together to establish context, identify risks, and monitor models, ensuring the safe and ethical deployment of AI technologies.
Check our website: https://2021.ai/
Listen on Spotify: https://open.spotify.com/episode/1RYgp0cLywhF3CXAU8ALpc?si=63e5cfd384b447ef
CHAPTERS
00:00 Intro
00:53 When is collaboration between the AI Risk advisor and data scientist needed?
1:22 What important risks require this collaboration?
3:00 Data scientist perspective on risk management
3:51 How a risk assessment process will look with this collaboration
7:13 Bias in the process</itunes:summary>
            <itunes:subtitle>Join us in this episode of AI Watch as we explore the critical collaboration between data scientists and risk professionals in building responsible AI. Discover how they work together to establish context, identify risks, and monitor models,...</itunes:subtitle>
            <itunes:author>2021.AI</itunes:author>
            <itunes:duration>08:16</itunes:duration>
            <media:description type="html">&lt;p&gt;Join us in this episode of AI Watch as we explore the critical collaboration between data scientists and risk professionals in building responsible AI. Discover how they work together to establish context, identify risks, and monitor models, ensuring the safe and ethical deployment of AI technologies.&lt;/p&gt;
&lt;p&gt;Check our website: https://2021.ai/&lt;br /&gt;
Listen on Spotify: https://open.spotify.com/episode/1RYgp0cLywhF3CXAU8ALpc?si=63e5cfd384b447ef&lt;/p&gt;
&lt;p&gt;CHAPTERS&lt;br /&gt;
00:00 Intro&lt;br /&gt;
00:53 When is collaboration between the AI Risk advisor and data scientist needed?&lt;br /&gt;
1:22 What important risks require this collaboration?&lt;br /&gt;
3:00 Data scientist perspective on risk management&lt;br /&gt;
3:51 How a risk assessment process will look with this collaboration&lt;br /&gt;
7:13 Bias in the process&lt;/p&gt;&lt;p&gt;&lt;a href="http://events.2021.ai/ai-watch-episode-18-ai-risk-and"&gt;&lt;img src="http://events.2021.ai/64968571/103008480/b9579c11a3735003d2f804273c1831d1/standard/download-34-thumbnail.jpg" width="75" height=""/&gt;&lt;/a&gt;&lt;/p&gt;</media:description>
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            <category>2021.ai</category>
            <category>ai</category>
            <category>ai governance</category>
            <category>ai risk</category>
            <category>ai watch</category>
            <category>artificial intelligence</category>
            <category>avishay gaziel</category>
            <category>björn preuss</category>
            <category>data science</category>
            <category>data scientist</category>
            <category>ethical ai</category>
            <category>governance</category>
            <category>mikael munck</category>
            <category>partnership</category>
            <category>responsible ai</category>
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        <item>
            <enclosure url="http://events.2021.ai/64968575/101463292/c64616e8fea798441dd8c0b8193b1d07/video_medium/ai-watch-episode-17-eu-ai-act-video.mp4?source=podcast" type="video/mp4" length="53659075"/>
            <title>AI Watch: Episode #17 - EU AI Act: insights, challenges and priorities</title>
            <link>http://events.2021.ai/ai-watch-episode-17-eu-ai-act</link>
            <description>&lt;p&gt;In this AI Watch episode, 2021.AI's senior AI risk advisor, Avishay Gaziel, breaks down the EU AI Act and its implications for businesses. He discusses the top challenges in AI governance, including data management and privacy, and emphasizes the critical need for GDPR compliance before implementing AI solutions. Avishay also highlights the growing importance of responsible AI and the skills required for effective AI risk management in today's heavily regulated environment.&lt;/p&gt;&lt;p&gt;&lt;a href="http://events.2021.ai/ai-watch-episode-17-eu-ai-act"&gt;&lt;img src="http://events.2021.ai/64968575/101463292/c64616e8fea798441dd8c0b8193b1d07/standard/download-34-thumbnail.jpg" width="75" height=""/&gt;&lt;/a&gt;&lt;/p&gt;</description>
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            <pubDate>Wed, 29 May 2024 00:00:00 GMT</pubDate>
            <media:title>AI Watch: Episode #17 - EU AI Act: insights, challenges and priorities</media:title>
            <itunes:summary>In this AI Watch episode, 2021.AI's senior AI risk advisor, Avishay Gaziel, breaks down the EU AI Act and its implications for businesses. He discusses the top challenges in AI governance, including data management and privacy, and emphasizes the critical need for GDPR compliance before implementing AI solutions. Avishay also highlights the growing importance of responsible AI and the skills required for effective AI risk management in today's heavily regulated environment.</itunes:summary>
            <itunes:subtitle>In this AI Watch episode, 2021.AI's senior AI risk advisor, Avishay Gaziel, breaks down the EU AI Act and its implications for businesses. He discusses the top challenges in AI governance, including data management and privacy, and emphasizes the...</itunes:subtitle>
            <itunes:author>2021.AI</itunes:author>
            <itunes:duration>11:13</itunes:duration>
            <media:description type="html">&lt;p&gt;In this AI Watch episode, 2021.AI's senior AI risk advisor, Avishay Gaziel, breaks down the EU AI Act and its implications for businesses. He discusses the top challenges in AI governance, including data management and privacy, and emphasizes the critical need for GDPR compliance before implementing AI solutions. Avishay also highlights the growing importance of responsible AI and the skills required for effective AI risk management in today's heavily regulated environment.&lt;/p&gt;&lt;p&gt;&lt;a href="http://events.2021.ai/ai-watch-episode-17-eu-ai-act"&gt;&lt;img src="http://events.2021.ai/64968575/101463292/c64616e8fea798441dd8c0b8193b1d07/standard/download-34-thumbnail.jpg" width="75" height=""/&gt;&lt;/a&gt;&lt;/p&gt;</media:description>
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            <category>2021.ai</category>
            <category>AI</category>
            <category>ai challenges</category>
            <category>ai experts</category>
            <category>ai governance</category>
            <category>ai insights</category>
            <category>ai law</category>
            <category>ai priorities</category>
            <category>ai watch</category>
            <category>Artificial intelligence</category>
            <category>avishay gaziel</category>
            <category>chatgpt</category>
            <category>ditte stage</category>
            <category>ethical ai</category>
            <category>eu ai act</category>
            <category>llms</category>
            <category>mikael munck</category>
            <category>open ai</category>
            <category>trusthworthy ai</category>
        </item>
        <item>
            <enclosure url="http://events.2021.ai/64968576/94562874/40d8638c7a6eb21d05c06f1f1d5a3a5d/video_medium/how-do-organizations-scale-the-use-video.mp4?source=podcast" type="video/mp4" length="157745837"/>
            <title>How do organizations scale the use of AI?</title>
            <link>http://events.2021.ai/how-do-organizations-scale-the-use</link>
            <description>&lt;p&gt;&lt;p&gt;&lt;strong&gt;How to effectively scale AI and drive value for your organization?&lt;/strong&gt;&lt;/p&gt;&lt;p&gt;If you are a business leader, you understand the importance of leveraging technologies to stay ahead of the competition and drive growth. That’s why we’re bringing together industry experts, like Peter Søndergaard, to share their top strategies and tactics for effectively scaling AI within your organization.&lt;/p&gt;&lt;p&gt;By watching this webinar, you’ll learn how to:&lt;/p&gt;&lt;p&gt;- Develop a strategic focus on corporate organizational skills and capabilities for effectively scaling AI&lt;/p&gt;&lt;p&gt;- Understand the current organization’s maturity regarding AI and develop a roadmap for improving it&lt;/p&gt;&lt;p&gt;- Focus on user adoption of AI to drive value for your organization&lt;/p&gt;&lt;p&gt;- Stay up-to-date with the evolution of AI as a technology and understand the fundamentals of business models to adapt to changes effectively&lt;/p&gt;&lt;p&gt;- Develop the Model Ops environment for IT organizations to scale AI&lt;/p&gt;&lt;p&gt;CHAPTERS:&lt;br&gt;
00:00 Intro&lt;br&gt;
02:46 Agenda&lt;br&gt;
03:55 Evolution of AI as a Technology&lt;br&gt;
14:43 User Adoption of AI&lt;br&gt;
34:02 AI Technology Strategy and internal usage&lt;br&gt;
41:54 Outro&lt;/p&gt;&lt;/p&gt;&lt;p&gt;&lt;a href="http://events.2021.ai/how-do-organizations-scale-the-use"&gt;&lt;img src="http://events.2021.ai/64968576/94562874/40d8638c7a6eb21d05c06f1f1d5a3a5d/standard/download-26-thumbnail.jpg" width="75" height=""/&gt;&lt;/a&gt;&lt;/p&gt;</description>
            <guid>http://events.2021.ai/photo/94562874</guid>
            <pubDate>Thu, 29 Jun 2023 00:00:00 GMT</pubDate>
            <media:title>How do organizations scale the use of AI?</media:title>
            <itunes:summary>How to effectively scale AI and drive value for your organization?If you are a business leader, you understand the importance of leveraging technologies to stay ahead of the competition and drive growth. That’s why we’re bringing together industry experts, like Peter Søndergaard, to share their top strategies and tactics for effectively scaling AI within your organization.By watching this webinar, you’ll learn how to:- Develop a strategic focus on corporate organizational skills and capabilities for effectively scaling AI- Understand the current organization’s maturity regarding AI and develop a roadmap for improving it- Focus on user adoption of AI to drive value for your organization- Stay up-to-date with the evolution of AI as a technology and understand the fundamentals of business models to adapt to changes effectively- Develop the Model Ops environment for IT organizations to scale AICHAPTERS:
00:00 Intro
02:46 Agenda
03:55 Evolution of AI as a Technology
14:43 User Adoption of AI
34:02 AI Technology Strategy and internal usage
41:54 Outro</itunes:summary>
            <itunes:subtitle>How to effectively scale AI and drive value for your organization?If you are a business leader, you understand the importance of leveraging technologies to stay ahead of the competition and drive growth. That’s why we’re bringing together industry...</itunes:subtitle>
            <itunes:author>2021.AI</itunes:author>
            <itunes:duration>42:15</itunes:duration>
            <media:description type="html">&lt;p&gt;&lt;p&gt;&lt;strong&gt;How to effectively scale AI and drive value for your organization?&lt;/strong&gt;&lt;/p&gt;&lt;p&gt;If you are a business leader, you understand the importance of leveraging technologies to stay ahead of the competition and drive growth. That’s why we’re bringing together industry experts, like Peter Søndergaard, to share their top strategies and tactics for effectively scaling AI within your organization.&lt;/p&gt;&lt;p&gt;By watching this webinar, you’ll learn how to:&lt;/p&gt;&lt;p&gt;- Develop a strategic focus on corporate organizational skills and capabilities for effectively scaling AI&lt;/p&gt;&lt;p&gt;- Understand the current organization’s maturity regarding AI and develop a roadmap for improving it&lt;/p&gt;&lt;p&gt;- Focus on user adoption of AI to drive value for your organization&lt;/p&gt;&lt;p&gt;- Stay up-to-date with the evolution of AI as a technology and understand the fundamentals of business models to adapt to changes effectively&lt;/p&gt;&lt;p&gt;- Develop the Model Ops environment for IT organizations to scale AI&lt;/p&gt;&lt;p&gt;CHAPTERS:&lt;br&gt;
00:00 Intro&lt;br&gt;
02:46 Agenda&lt;br&gt;
03:55 Evolution of AI as a Technology&lt;br&gt;
14:43 User Adoption of AI&lt;br&gt;
34:02 AI Technology Strategy and internal usage&lt;br&gt;
41:54 Outro&lt;/p&gt;&lt;/p&gt;&lt;p&gt;&lt;a href="http://events.2021.ai/how-do-organizations-scale-the-use"&gt;&lt;img src="http://events.2021.ai/64968576/94562874/40d8638c7a6eb21d05c06f1f1d5a3a5d/standard/download-26-thumbnail.jpg" width="75" height=""/&gt;&lt;/a&gt;&lt;/p&gt;</media:description>
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            <category>2021.AI</category>
            <category>ai governance</category>
            <category>artificial intelligence</category>
            <category>business</category>
            <category>chatgpt</category>
            <category>datascience</category>
            <category>ethical ai</category>
            <category>how do organizations scale the use of AI</category>
            <category>large language models</category>
            <category>Peter Sondergaard</category>
            <category>responsibleai</category>
            <category>risk of ai</category>
            <category>Scale the use of AI</category>
            <category>scalingAI</category>
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            <enclosure url="http://events.2021.ai/64968559/94562873/5c7be279799b1d4c44824d1f4d2e9e3f/video_medium/responsible-use-of-large-language-video.mp4?source=podcast" type="video/mp4" length="101127848"/>
            <title>Responsible use of Large Language Models like ChatGPT</title>
            <link>http://events.2021.ai/responsible-use-of-large-language</link>
            <description>&lt;p&gt;Large language models can bring a lot of value to your business. However, they also come with some related risks. In this webinar, we will:&lt;p&gt;&lt;/p&gt;
&lt;p&gt;- Identify the key risks of large language models&lt;br&gt;
- Highlight ways how to mitigate these risks&lt;br&gt;
- Learn how to start working with large language models like chatGPT in a responsible way&lt;br&gt;
- Give examples of working with LLMs in the enterprise&lt;/p&gt;
&lt;p&gt;Don't miss out on this insightful webinar! Register now and participate in an exciting and educational event about LLMs that will help your business.&lt;/p&gt;
&lt;p&gt;CHAPTERS:&lt;br&gt;
00:00 Intro&lt;br&gt;
01:44 Value of LLMs&lt;br&gt;
05:57 Risk of LLMs&lt;br&gt;
13:33 Solution&lt;/p&gt;&lt;/p&gt;&lt;p&gt;&lt;a href="http://events.2021.ai/responsible-use-of-large-language"&gt;&lt;img src="http://events.2021.ai/64968559/94562873/5c7be279799b1d4c44824d1f4d2e9e3f/standard/download-25-thumbnail.jpg" width="75" height=""/&gt;&lt;/a&gt;&lt;/p&gt;</description>
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            <pubDate>Fri, 16 Jun 2023 00:00:00 GMT</pubDate>
            <media:title>Responsible use of Large Language Models like ChatGPT</media:title>
            <itunes:summary>Large language models can bring a lot of value to your business. However, they also come with some related risks. In this webinar, we will:
- Identify the key risks of large language models
- Highlight ways how to mitigate these risks
- Learn how to start working with large language models like chatGPT in a responsible way
- Give examples of working with LLMs in the enterprise
Don't miss out on this insightful webinar! Register now and participate in an exciting and educational event about LLMs that will help your business.
CHAPTERS:
00:00 Intro
01:44 Value of LLMs
05:57 Risk of LLMs
13:33 Solution</itunes:summary>
            <itunes:subtitle>Large language models can bring a lot of value to your business. However, they also come with some related risks. In this webinar, we will:
- Identify the key risks of large language models
- Highlight ways how to mitigate these risks
- Learn how...</itunes:subtitle>
            <itunes:author>2021.AI</itunes:author>
            <itunes:duration>23:11</itunes:duration>
            <media:description type="html">&lt;p&gt;Large language models can bring a lot of value to your business. However, they also come with some related risks. In this webinar, we will:&lt;p&gt;&lt;/p&gt;
&lt;p&gt;- Identify the key risks of large language models&lt;br&gt;
- Highlight ways how to mitigate these risks&lt;br&gt;
- Learn how to start working with large language models like chatGPT in a responsible way&lt;br&gt;
- Give examples of working with LLMs in the enterprise&lt;/p&gt;
&lt;p&gt;Don't miss out on this insightful webinar! Register now and participate in an exciting and educational event about LLMs that will help your business.&lt;/p&gt;
&lt;p&gt;CHAPTERS:&lt;br&gt;
00:00 Intro&lt;br&gt;
01:44 Value of LLMs&lt;br&gt;
05:57 Risk of LLMs&lt;br&gt;
13:33 Solution&lt;/p&gt;&lt;/p&gt;&lt;p&gt;&lt;a href="http://events.2021.ai/responsible-use-of-large-language"&gt;&lt;img src="http://events.2021.ai/64968559/94562873/5c7be279799b1d4c44824d1f4d2e9e3f/standard/download-25-thumbnail.jpg" width="75" height=""/&gt;&lt;/a&gt;&lt;/p&gt;</media:description>
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            <category>2021.AI</category>
            <category>Björn Preuß</category>
            <category>chatgpt</category>
            <category>Chat GPT</category>
            <category>data scientist</category>
            <category>ethical ai</category>
            <category>Large language models</category>
            <category>Liam Sapsford</category>
            <category>LLMS</category>
            <category>Mikael Munck</category>
            <category>OpenAI</category>
            <category>Responsible use of large language models</category>
            <category>value with ai</category>
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