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محتوای ارائه شده توسط Kashif Manzoor. تمام محتوای پادکست شامل قسمت‌ها، گرافیک‌ها و توضیحات پادکست مستقیماً توسط Kashif Manzoor یا شریک پلتفرم پادکست آن‌ها آپلود و ارائه می‌شوند. اگر فکر می‌کنید شخصی بدون اجازه شما از اثر دارای حق نسخه‌برداری شما استفاده می‌کند، می‌توانید روندی که در اینجا شرح داده شده است را دنبال کنید.https://fa.player.fm/legal
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محتوای ارائه شده توسط Kashif Manzoor. تمام محتوای پادکست شامل قسمت‌ها، گرافیک‌ها و توضیحات پادکست مستقیماً توسط Kashif Manzoor یا شریک پلتفرم پادکست آن‌ها آپلود و ارائه می‌شوند. اگر فکر می‌کنید شخصی بدون اجازه شما از اثر دارای حق نسخه‌برداری شما استفاده می‌کند، می‌توانید روندی که در اینجا شرح داده شده است را دنبال کنید.https://fa.player.fm/legal
Open Tech Talks is your weekly sandbox for technology: Artificial Intelligence, Generative AI, Machine Learning, Large Language Models (LLMs) insights, experimentation, and inspiration. Hosted by Kashif Manzoor, AI Evangelist, Cloud Expert, and Enterprise Architect, this Podcast combines technology products, artificial intelligence, machine learning overviews, how-to's, best practices, tips & tricks, and troubleshooting techniques. Whether you're a CIO, IT manager, developer, or just curious about AI, Open Tech Talks is for you, covering a wide range of topics, including Artificial Intelligence, Multi-Cloud, ERP, SaaS, and business challenges. Join Kashif each week as he explores the latest happenings in the tech world and shares his insights to help you stay ahead of the curve. Here's what you can expect from Open Tech Talks: Interviews with industry experts Insights into the latest AI trends Best practices for using AI technology in your career Tips and tricks for troubleshooting AI problems Inspiration to learn more about AI Subscribe to Open Tech Talks today and start growing your career in technology! Additional details about the podcast: The podcast is available on all major platforms, including Spotify, Apple, and Google. New episodes are released every Saturday. Each episode of the podcast is about 30 minutes long. I hope you enjoy the podcast! The views expressed on this Podcast and blog are my own and do not necessarily reflect those of my current or previous employers.
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151 قسمت

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Manage series 2922369
محتوای ارائه شده توسط Kashif Manzoor. تمام محتوای پادکست شامل قسمت‌ها، گرافیک‌ها و توضیحات پادکست مستقیماً توسط Kashif Manzoor یا شریک پلتفرم پادکست آن‌ها آپلود و ارائه می‌شوند. اگر فکر می‌کنید شخصی بدون اجازه شما از اثر دارای حق نسخه‌برداری شما استفاده می‌کند، می‌توانید روندی که در اینجا شرح داده شده است را دنبال کنید.https://fa.player.fm/legal
Open Tech Talks is your weekly sandbox for technology: Artificial Intelligence, Generative AI, Machine Learning, Large Language Models (LLMs) insights, experimentation, and inspiration. Hosted by Kashif Manzoor, AI Evangelist, Cloud Expert, and Enterprise Architect, this Podcast combines technology products, artificial intelligence, machine learning overviews, how-to's, best practices, tips & tricks, and troubleshooting techniques. Whether you're a CIO, IT manager, developer, or just curious about AI, Open Tech Talks is for you, covering a wide range of topics, including Artificial Intelligence, Multi-Cloud, ERP, SaaS, and business challenges. Join Kashif each week as he explores the latest happenings in the tech world and shares his insights to help you stay ahead of the curve. Here's what you can expect from Open Tech Talks: Interviews with industry experts Insights into the latest AI trends Best practices for using AI technology in your career Tips and tricks for troubleshooting AI problems Inspiration to learn more about AI Subscribe to Open Tech Talks today and start growing your career in technology! Additional details about the podcast: The podcast is available on all major platforms, including Spotify, Apple, and Google. New episodes are released every Saturday. Each episode of the podcast is about 30 minutes long. I hope you enjoy the podcast! The views expressed on this Podcast and blog are my own and do not necessarily reflect those of my current or previous employers.
  continue reading

151 قسمت

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