2021.AI marketing@2021.ai https://events.2021.ai en-us Visualplatform http://blogs.law.harvard.edu/tech/rss 2021.AI episodic no https://events.2021.ai/files/rv2.196/sitelogo.gif https://events.2021.ai http://events.2021.ai/ai-watch-episode-18-ai-risk-and <p>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.</p> <p>Check our website: https://2021.ai/<br /> Listen on Spotify: https://open.spotify.com/episode/1RYgp0cLywhF3CXAU8ALpc?si=63e5cfd384b447ef</p> <p>CHAPTERS<br /> 00:00 Intro<br /> 00:53 When is collaboration between the AI Risk advisor and data scientist needed?<br /> 1:22 What important risks require this collaboration?<br /> 3:00 Data scientist perspective on risk management<br /> 3:51 How a risk assessment process will look with this collaboration<br /> 7:13 Bias in the process</p><p><a href="http://events.2021.ai/ai-watch-episode-18-ai-risk-and"><img src="http://events.2021.ai/64968571/103008480/b9579c11a3735003d2f804273c1831d1/standard/download-34-thumbnail.jpg" width="75" height=""/></a></p> http://events.2021.ai/photo/103008480 Wed, 10 Jul 2024 00:00:00 GMT AI Watch: Episode #18 - AI Risk and Data Science: A Crucial Partnership 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 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,... 2021.AI 08:16 <p>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.</p> <p>Check our website: https://2021.ai/<br /> Listen on Spotify: https://open.spotify.com/episode/1RYgp0cLywhF3CXAU8ALpc?si=63e5cfd384b447ef</p> <p>CHAPTERS<br /> 00:00 Intro<br /> 00:53 When is collaboration between the AI Risk advisor and data scientist needed?<br /> 1:22 What important risks require this collaboration?<br /> 3:00 Data scientist perspective on risk management<br /> 3:51 How a risk assessment process will look with this collaboration<br /> 7:13 Bias in the process</p><p><a href="http://events.2021.ai/ai-watch-episode-18-ai-risk-and"><img src="http://events.2021.ai/64968571/103008480/b9579c11a3735003d2f804273c1831d1/standard/download-34-thumbnail.jpg" width="75" height=""/></a></p> 2021.ai ai ai governance ai risk ai watch artificial intelligence avishay gaziel björn preuss data science data scientist ethical ai governance mikael munck partnership responsible ai http://events.2021.ai/responsible-use-of-large-language <p>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:<p></p> <p>- Identify the key risks of large language models<br> - Highlight ways how to mitigate these risks<br> - Learn how to start working with large language models like chatGPT in a responsible way<br> - Give examples of working with LLMs in the enterprise</p> <p>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.</p> <p>CHAPTERS:<br> 00:00 Intro<br> 01:44 Value of LLMs<br> 05:57 Risk of LLMs<br> 13:33 Solution</p></p><p><a href="http://events.2021.ai/responsible-use-of-large-language"><img src="http://events.2021.ai/64968559/94562873/5c7be279799b1d4c44824d1f4d2e9e3f/standard/download-25-thumbnail.jpg" width="75" height=""/></a></p> http://events.2021.ai/photo/94562873 Fri, 16 Jun 2023 00:00:00 GMT Responsible use of Large Language Models like ChatGPT 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 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... 2021.AI 23:11 <p>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:<p></p> <p>- Identify the key risks of large language models<br> - Highlight ways how to mitigate these risks<br> - Learn how to start working with large language models like chatGPT in a responsible way<br> - Give examples of working with LLMs in the enterprise</p> <p>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.</p> <p>CHAPTERS:<br> 00:00 Intro<br> 01:44 Value of LLMs<br> 05:57 Risk of LLMs<br> 13:33 Solution</p></p><p><a href="http://events.2021.ai/responsible-use-of-large-language"><img src="http://events.2021.ai/64968559/94562873/5c7be279799b1d4c44824d1f4d2e9e3f/standard/download-25-thumbnail.jpg" width="75" height=""/></a></p> 2021.AI Björn Preuß chatgpt Chat GPT data scientist ethical ai Large language models Liam Sapsford LLMS Mikael Munck OpenAI Responsible use of large language models value with ai http://events.2021.ai/customer-success-med-ai-fra-data <p>Som opfølgning på vores meget succesfulde første webinar om Customer Succes med AI (som du kan se on-demand her: 2021.ai/event/customer-success-med-kunstig-intelligens/) har vi fået en del forespørgsler på hvordan man helt konkret kommer igang med AI. Vi har derfor inviteret vores kollega og Senior Data Scientist, Ahmed, til at vise et projektforløb fra start til slut og adressere nogle af de mest stillede spørgsmål<br> • Hvor meget data skal man bruge<br> • Hvordan måler man Churn<br> • Hvordan integrere man AI ind i CSM<p></p> <p>00:00 Introduktion<br> 02:01 En introduktion til AI<br> 05:14 Churn definition<br> 07:50 AI udvikling<br> 17:33 Integration<br> 20:25 Q&amp;A</p></p><p><a href="http://events.2021.ai/customer-success-med-ai-fra-data"><img src="http://events.2021.ai/64968579/94562975/221d1bafd236b3cd72df9de0c1126739/standard/download-24-thumbnail.jpg" width="75" height=""/></a></p> http://events.2021.ai/photo/94562975 Wed, 05 Apr 2023 00:00:00 GMT CUSTOMER SUCCESS MED AI – fra data til indisgt Som opfølgning på vores meget succesfulde første webinar om Customer Succes med AI (som du kan se on-demand her: 2021.ai/event/customer-success-med-kunstig-intelligens/) har vi fået en del forespørgsler på hvordan man helt konkret kommer igang med AI. Vi har derfor inviteret vores kollega og Senior Data Scientist, Ahmed, til at vise et projektforløb fra start til slut og adressere nogle af de mest stillede spørgsmål • Hvor meget data skal man bruge • Hvordan måler man Churn • Hvordan integrere man AI ind i CSM 00:00 Introduktion 02:01 En introduktion til AI 05:14 Churn definition 07:50 AI udvikling 17:33 Integration 20:25 QA Som opfølgning på vores meget succesfulde første webinar om Customer Succes med AI (som du kan se on-demand her: 2021.ai/event/customer-success-med-kunstig-intelligens/) har vi fået en del forespørgsler på hvordan man helt konkret kommer igang med... 2021.AI 29:27 <p>Som opfølgning på vores meget succesfulde første webinar om Customer Succes med AI (som du kan se on-demand her: 2021.ai/event/customer-success-med-kunstig-intelligens/) har vi fået en del forespørgsler på hvordan man helt konkret kommer igang med AI. Vi har derfor inviteret vores kollega og Senior Data Scientist, Ahmed, til at vise et projektforløb fra start til slut og adressere nogle af de mest stillede spørgsmål<br> • Hvor meget data skal man bruge<br> • Hvordan måler man Churn<br> • Hvordan integrere man AI ind i CSM<p></p> <p>00:00 Introduktion<br> 02:01 En introduktion til AI<br> 05:14 Churn definition<br> 07:50 AI udvikling<br> 17:33 Integration<br> 20:25 Q&amp;A</p></p><p><a href="http://events.2021.ai/customer-success-med-ai-fra-data"><img src="http://events.2021.ai/64968579/94562975/221d1bafd236b3cd72df9de0c1126739/standard/download-24-thumbnail.jpg" width="75" height=""/></a></p> 2021.AI Ahmed Zewain ai Artificial intelligence Churn CUSTOMER SUCCESS CUSTOMER SUCCESS MED AI data science Data Scientist fra data til indisgt kunstig intelligens http://events.2021.ai/ensuring-ai-governance <p>To successfully adopt AI, it’s important to create workflows that enable sound governance capabilities and make it straightforward to assign responsibilities and involvement from different personas/stakeholders across the company. By creating effective cross-collaboration workflows, you can ensure that everyone is on board with the AI initiative and that the technology is implemented in a safe and effective manner.<p></p> <p>By attending this webinar, you’ll get:</p> <p>• an overview of the challenges large organizations often face when implementing AI Governance, from the POC scale to across the enterprise.</p> <p>• an understanding of the most valuable roles and responsibilities in driving AI Governance.</p> <p>• recommendations for how to dynamically implement and work with AI Governance and ethics initiatives.</p></p><p><a href="http://events.2021.ai/ensuring-ai-governance"><img src="http://events.2021.ai/64968568/94566780/39e6c6fcb9d0d2c7a6f2fdb77ef88a09/standard/download-26-thumbnail.jpg" width="75" height=""/></a></p> http://events.2021.ai/photo/94566780 Tue, 04 Apr 2023 00:00:00 GMT Ensuring AI Governance Collaboration Across The Organization To successfully adopt AI, it’s important to create workflows that enable sound governance capabilities and make it straightforward to assign responsibilities and involvement from different personas/stakeholders across the company. By creating effective cross-collaboration workflows, you can ensure that everyone is on board with the AI initiative and that the technology is implemented in a safe and effective manner. By attending this webinar, you’ll get: • an overview of the challenges large organizations often face when implementing AI Governance, from the POC scale to across the enterprise. • an understanding of the most valuable roles and responsibilities in driving AI Governance. • recommendations for how to dynamically implement and work with AI Governance and ethics initiatives. To successfully adopt AI, it’s important to create workflows that enable sound governance capabilities and make it straightforward to assign responsibilities and involvement from different personas/stakeholders across the company. By creating... 2021.AI 17:59 <p>To successfully adopt AI, it’s important to create workflows that enable sound governance capabilities and make it straightforward to assign responsibilities and involvement from different personas/stakeholders across the company. By creating effective cross-collaboration workflows, you can ensure that everyone is on board with the AI initiative and that the technology is implemented in a safe and effective manner.<p></p> <p>By attending this webinar, you’ll get:</p> <p>• an overview of the challenges large organizations often face when implementing AI Governance, from the POC scale to across the enterprise.</p> <p>• an understanding of the most valuable roles and responsibilities in driving AI Governance.</p> <p>• recommendations for how to dynamically implement and work with AI Governance and ethics initiatives.</p></p><p><a href="http://events.2021.ai/ensuring-ai-governance"><img src="http://events.2021.ai/64968568/94566780/39e6c6fcb9d0d2c7a6f2fdb77ef88a09/standard/download-26-thumbnail.jpg" width="75" height=""/></a></p> 2021.AI AI ai ethics AI Governance ai iniciatives Artificial intelligence Björn Preuss data scientist grace mikael munck Rasmus Hauch shadow ai