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  • Acquired
    Acquired

    1

    Acquired

    Ben Gilbert and David Rosenthal

  • Waveform: The MKBHD Podcast
    Waveform: The MKBHD Podcast

    2

    Waveform: The MKBHD Podcast

    MKBHD

  • The AI Daily Brief: Artificial Intelligence News and Analysis
    The AI Daily Brief: Artificial Intelligence News and Analysis

    3

    The AI Daily Brief: Artificial Intelligence News and Analysis

    Nathaniel Whittemore

  • 2043 Podcast
    2043 Podcast

    4

    2043 Podcast

    TPP

  • Apple Events
    Apple Events

    5

    Apple Events

    Apple

  • Buzzinga أخبار الذكاء الاصطناعي
    Buzzinga أخبار الذكاء الاصطناعي

    6

    Buzzinga أخبار الذكاء الاصطناعي

    Ali Moheyaldeen

  • AI for Beginners (300 episodes)
    AI for Beginners (300 episodes)

    7

    AI for Beginners (300 episodes)

    A.I. For Beginners

Essentials

  • برق مع عبدالله السبع
    Tech News
    Tech News

    Updated 15/10/2020

  • Lew Later
    Technology
    Technology

    Updated daily

  • Tech Life
    Technology
    Technology

    Every two weeks

  • Babbage from The Economist
    Science
    Science

    Updated weekly

  • Decoder with Nilay Patel
    Business
    Business

    Updated weekly

  • Darknet Diaries
    Technology
    Technology

    Monthly

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    Technology

    Updated weekly

  • This is the Best Android Update Ever

    5 days ago

    1

    This is the Best Android Update Ever

    Marques, Andrew, and David start this episode off by diving straight into the new Snap Specs . Then it's all about the new Google Home Speaker with Gemini and everything Android 17. They wrap it up by talking about the proposed U.K social media legislation as well as the ongoing Anthropic vs U.S government debacle. Of course, we wrap it all up with trivia. Enjoy! Links: Snap Specs AWE XR - Snap Specs reveal CNBC - Interview with Evan Spiegel Google Home Speaker In Depth Tech Reviews - Android 17 video Reddit - Android 17 Megathread The Verge - Inside the fight over Claude This episode brought to you by: Framer: https://www.framer.com/wave Shopify: https://www.shopify.com/wave Follow us on socials: Marques: https://twitter.com/MKBHD Andrew: https://www.instagram.com/andrew_manganelli/ David: https://www.instagram.com/davidimel/ Adam: https://www.instagram.com/parmesanpapi17/ Ellis: https://twitter.com/EllisRovin Rufus: https://www.instagram.com/rmullhaupt/ Mariah: https://www.instagram.com/totallynotabusinessacc/?hl=en Waveform: Twitter: https://twitter.com/WVFRM Threads: https://www.threads.net/@waveformpodcast Instagram: https://www.instagram.com/waveformpodcast/ TikTok: https://www.tiktok.com/@waveformpodcast Join the Discord: https://discord.gg/mkbhd Intro/Outro music by 20syl: https://bit.ly/2S53xlC Waveform is part of the Vox Media Podcast Network. Learn more about your ad choices. Visit podcastchoices.com/adchoices

    5 days ago

    •
    1hr 40min
  • What happens after coding is solved? | Fiona Fung (Manager of the Claude Code and Cowork Teams)

    3 days ago

    2

    What happens after coding is solved? | Fiona Fung (Manager of the Claude Code and Cowork Teams)

    Fiona Fung leads the teams behind Claude Code and Cowork at Anthropic (overseeing Boris Cherny and the entire engineering and PM team). Before Anthropic, she spent 11 years at Microsoft building Visual Studio and TypeScript and then moved to Meta, where she started Facebook Marketplace (now generating over $100 billion in GMV annually), worked on Meta’s first smart glasses and AR glasses, and led infrastructure, growth, integrity, and safety teams at Instagram. She’s been an engineer for over 25 years and has a unique perspective on how the role of building software is changing. In our in-depth conversation, we discuss: 1. What she’s learned about running a team that’s shipping 8x more code than before 2. Which roles AI will transform next 3. Specific ways her team uses AI 4. How Claude “routines” have changed how she operates as a manager 5. The context-switching problem no one has solved yet 6. The biggest unsolved problem in AI 7. What keeps her up at night — Brought to you by: WorkOS—Make your app enterprise-ready, with SSO, SCIM, RBAC, and more: https://workos.com/lenny Mercury—Radically different banking, now with Command: https://mercury.com/ — Where to find Fiona Fung: • LinkedIn: linkedin.com/in/fionafung — Where to find Lenny: • Newsletter: https://www.lennysnewsletter.com • X: https://twitter.com/lennysan • LinkedIn: https://www.linkedin.com/in/lennyrachitsky/ — In this episode, we cover: (00:00) Introduction to Fiona Fung (02:31) How the engineering role has transformed over 25 years (09:28) What an AI-pilled software team looks like in 2026 (12:26) Using Claude to manage and review team output (14:40) The evolution of code review and verification (16:55) Who to hire: creative builders and deep systems experts (18:18) The shift to ambitious thinking (19:40) The growth mindset required to thrive in AI-native teams (25:52) Helping small businesses adopt AI tools (31:46) How Anthropic spots latent demand and builds for it (35:08) The next frontier: asynchronous work with AI routines (38:06) Agency and accountability in AI-native teams (39:40) The vibe shift from token-maxing to ROI measurement (44:24) The “bad vs. sad” quality framework (49:34) Why all managers start as ICs at Anthropic (55:24) Preventing skill atrophy (58:43) Managing context switching with 20 AI agents running (1:00:08) How PM and data science roles are transforming (1:03:40) The importance of dogfooding and using your own product (1:08:36) Outstanding questions (1:12:48) The future of engineering jobs and education (1:17:59) What keeps Fiona up at night: team culture at scale (1:22:53) From six-month roadmaps to JIT (just-in-time) monthly planning (1:27:03) Lightning round — References: https://www.lennysnewsletter.com/p/building-the-most-ai-pilled-engineering — Production and marketing by https://penname.co/. For inquiries about sponsoring the podcast, email podcast@lennyrachitsky.com. — Lenny may be an investor in the companies discussed. To hear more, visit www.lennysnewsletter.com

    3 days ago

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    1hr 39min
  • Vanguard

    18 May

    3

    Vanguard

    Vanguard is the most effective vehicle ever created for participating in the fruits of American capitalism. Today it’s the single largest equity owner of the majority of corporations in the S&P 500, on behalf of 50 million clients (including, likely, many of you). And yet Vanguard itself is essentially a communist organization — it has no shareholders, makes no profits, and operates more like REI than Fidelity. If you own a Vanguard fund, you own a piece of the firm itself. Any excess margin instead gets returned to clients in the form of lower fees, which since 1975 have added up to roughly five hundred billion dollars transferred out of Wall Street managers’ pockets and into retail investors’ savings accounts. And oh yeah, it all started as a cockamamie revenge plot by a guy who’d just been fired by his partners. Today we tell the story of communist capitalism at its finest — Vanguard. Sponsors: Many thanks to our fantastic Spring '26 Season partners: J.P. MorganWeAreDevelopers eventServiceNowVercelStatsigLinks: Sign up for email updates, get our takeaways and research photos from each episode, and vote on future topics!Our Vanguard "episode preview" in WSJStay the Course: The Story of Vanguard and the Index Revolution by John C. BogleThe Bogle Effect by Eric BalchunasWorldly Partners' Multi-Decade Vanguard StudyWorldly Partners' Article Generational Investing: The Discipline Behind 100+x OutcomesAll episode sourcesCarve Outs: Our WSJ pieces on Ferrari and VanguardMacBook Pro M5 MaxMichael MacKelvie on YouTubeThe Super Mario Galaxy MovieBrooks Vanguard sneakersMore Acquired: Get email updates and vote on future episodes!Join the SlackCheck out the latest swag in the ACQ Merch Store!00:00:00 Start00:00:41 Intro00:05:30 Jack Bogle's Early Life & Family Ruin (1929)00:12:34 Princeton Thesis & Mutual Funds Emerge (1949-1951)00:27:20 Joining Wellington Management (1951)00:30:38 The Go-Go Years & Fidelity's Ascent (1958-1965)00:40:36 Jack Takes the Reins & The Ivest Merger (1965)00:46:04 The Go-Go Bust & Jack's Crisis of Conscience (1970-1973)00:53:28 Jack is Fired: The Genesis of Vanguard (1974)01:13:03 The Journal Article That Inspired It All (1974-1976)01:35:02 Building the Fund & Early Struggles (1976-1981)01:44:32 The Rise of Indexing & Vanguard's Growth (1988-1992)01:49:06 Jack's Health & The CEO Transition (1995-1996)02:00:06 The ETF Debate & Jack's Second Firing (1999)02:24:18 The 2008 Financial Crisis: Vanguard's Moment02:30:46 The Warren Buffett Bet (2008-2019)02:41:28 Fidelity & BlackRock's Resurgence (Post-2008)02:52:04 Salim Ramji: Vanguard's First Outside CEO03:04:43 Wellington's Comeback & Mutual Ownership03:08:23 Analysis03:30:58 Quintessence03:39:35 Carve-Outs + Outro ‍Note: Acquired hosts and guests may hold assets discussed in this episode. This podcast is not investment advice, and is intended for informational and entertainment purposes only. You should do your own research and make your own independent decisions when considering any financial transactions.

    18 May

    •
    3h 48m
  • What happens now that AI is good at math? - Episode 17

    28 Apr

    4

    What happens now that AI is good at math? - Episode 17

    Math is one of the clearest ways to see how far AI has come in a short span. OpenAI researchers Sébastien Bubeck and Ernest Ryu join host Andrew Mayne to explain what changed and what it could mean for the future of research. They reflect on how Ernest used ChatGPT to help solve a 42-year-old open problem, the difference between deep literature search and original mathematical discovery, and what changes when AI can work over longer timelines.  Chapters 01:27 The surprising progress of AI’s math capabilities  03:01 Solving an open problem with ChatGPT 06:57 How models went from basic math to research level 11:32 Why math matters for AGI 14:26 AI and the Erdős problems 21:26 Building an automated researcher 28:19 The role of humans as models improve 33:52 Verifying proofs with AI 36:00 The risk of shallow understanding 41:19 Advice for learning math with ChatGPT Hosted on Acast. See acast.com/privacy for more information.

    28 Apr

    •
    43 min
  • 1003: Building an AI Data Center End to End, with Lightning AI’s Frank Basso

    1 day ago

    5

    1003: Building an AI Data Center End to End, with Lightning AI’s Frank Basso

    Frank Basso, VP of Infrastructure at Lightning AI, joins Jon Krohn for a rare ground-level tour of the one layer of the AI stack the show had never covered in over a thousand episodes: the physical data center. Frank explains how Lightning AI provisions its 35,000-plus GPUs through hyperscale co-location, why everything new is liquid-to-chip cooled, how GPUs talk to each other over ultra-fast east-west networks, and what it’s actually like to stand inside a 110-decibel AI data hall. He also debunks the most persistent myths about data-center water and electricity use, and makes the case for fuel cells, nuclear power, and 800-volt DC distribution as the path forward. Additional materials: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.superdatascience.com/1003⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information. In this episode you will learn: (02:47) What actually makes an AI data center different from a traditional one (06:04) How Lightning AI provisions its 35,000+ GPUs through hyperscale co-location (24:01) Why liquid cooling doesn’t waste water, debunking the biggest data-center myth (29:46) East-west vs. north-south networks, explained (43:47) “Screaming banshees”: why AI data halls run at 105–110 decibels (51:52) Why data centers don’t actually drive up your power bill

    1 day ago

    •
    1hr 12min
  • The Walt Disney Company

    2 days ago

    6

    The Walt Disney Company

    The Walt Disney Company is the most successful enterprise ever created for monetizing human nostalgia. Today it’s the king of global entertainment, holding the intellectual property rights to the childhood memories of billions of people (including, likely, all of you) and is a reliable, predictable profitable business. But it didn’t start that way. During Walt’s era, Disney operated like an unhinged moonshot factory, blowing its finances on one seemingly crazy project after another, like the very first feature-length animated film or a theme park inspired by Walt's fascination with model trains (spoiler: Disneyland). Walt’s relentless ambition to bet the company over and over again not only created some of the most monumental artistic achievements of the 20th century (Snow White, Fantasia, Disney Imagineering), but also resulted in the accidental invention of the modern “flywheel” business model. In this episode, we tell the story of the ultimate marriage of art, commerce, and engineering — The Walt Disney Company: Walt's Era. Sponsors: Many thanks to our fantastic Spring '26 Season partners: J.P. MorganWeAreDevelopers eventVercelServiceNowStatsigLinks: Sign up for email updates, get our takeaways and research photos from each episode, and vote on future topics!The Acquired Disney Companion PDFOur Disney column in WSJThe original 1958 WSJ “Flywheel” article"Walt Disney: The Triumph of the American Imagination by Neal GablerThe Animated Man by Michael BarrierWalt Disney: An American Original by Bob ThomasBuilding a Company: Roy O. Disney and the Creation of an Entertainment Empires by Bob ThomasThe Disney Version by Richard SchickelPBS American Experience: Walt DisneyDisneyland HandcraftedWalt's 1966 EPCOT pitch videoWorldly Partners' Multi-Decade Disney StudyThe Walt Disney Family MuseumAll episode sourcesCarve Outs: Brooks Vanguard sneakersDefunctland YouTube ChannelAnimagraffs YouTube ChannelVolvo EX30The San Francisco SymphonyMore Acquired: Get email updates and vote on future episodes!Join the SlackCheck out the latest swag in the ACQ Merch Store!00:00 Start01:10 Intro06:03 Walt's Early Life & Artistic Calling (1901-1919)12:22 From Commercial Art to Laugh-o-grams (1919-1923)23:05 Hollywood, The Alice Comedies & Oswald's Loss (1923-1928)43:27 Mickey Mouse & The Synchronized Sound Breakthrough (1928)01:01:21 The IP Flywheel & Mickey Merch Explosion (1929-1933)01:09:57 Flywheel Terminology Unpacked01:18:53 Snow White: Walt's $1.5M Folly (1934-1937)01:52:01 The Burbank Studio, Debt & Strike (1938-1941)02:04:28 The Animators' Strike & Walt's Disillusionment (1941)02:15:43 WWII, The Vault & Creative Slump (1941-1950)02:24:27 Post-War Slump to Cinderella's Comeback (1945-1950)02:33:48 Walt's Obsession: Model Trains to Disneyland (1950-1952)02:38:44 Financing Disneyland: ABC, SRI & Davy Crockett (1953-1955)03:17:05 Disneyland's Grand Opening & The Evolving Flywheel (1955-1958)03:41:55 The Florida Project & Walt's Last Dream (1961-1966)03:54:26 Walt's Untimely Death & Roy's Legacy (1966-1971)03:57:57 Roy Finishes Walt Disney World (1966-1971)04:01:09 The Post-Walt Slump & Corporate Raiders (1970s-1984)04:09:44 Analysis: Why No Other Disney Flywheels?04:17:15 7 Powers04:20:45 Quintessence04:23:50 Carve-Outs + Outro ‍Note: Acquired hosts and guests may hold assets discussed in this episode. This podcast is not investment advice, and is intended for informational and entertainment purposes only. You should do your own research and make your own independent decisions when considering any financial transactions.

    2 days ago

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    4h 31m
  • Am I Lazy or Overstimulated? | Monday Advice

    2 days ago

    7

    Am I Lazy or Overstimulated? | Monday Advice

    Cal Newport explains about if you're lazy or overstimulated in episode 410 of the Deep Questions podcast. Below are the questions covered in today's episode (with their timestamps). Get your questions answered by Cal! Here’s the link: https://bit.ly/3U3sTvo Video from today’s episode:  youtube.com/calnewportmedia (0:00) Am I lazy or overstimulated? (28:29) A reaction to Cal’s recent New Yorker article (38:23) Positive lessons from box offices  successes of Gen Z films  (46:24) An old school tool for a woodshed (47:32) A new solution to landlining (49:30) What Cal is reading Links: Buy Cal’s latest book, “Slow Productivity” at www.calnewport.com/slow  Get a signed copy of Cal’s “Slow Productivity” at https://peoplesbooktakoma.com/event/cal-newport/  Cal’s monthly book directory: bramses.notion.site/059db2641def4a88988b4d2cee4657ba? https://www.newyorker.com/culture/open-questions/instead-of-taking-your-job-ai-might-transform-it https://www.youtube.com/watch?v=tKGhxMi50y8 https://aprilowens.substack.com/p/the-art-we-actually-need Thanks to our Sponsors:  https://www.scribe.how/deep https://www.shopify.com/deep https://www.cozyearth.com/deep (Use code “DEEP”) https://www.calderalab.com/deep Thanks to Jesse Miller for production and mastering, Jay Kerstens for the intro music, and Nate Mechler for research and newsletter. Learn more about your ad choices. Visit podcastchoices.com/adchoices

    2 days ago

    •
    58 min
  • ارتفاع أسعار آبل وهجرة عقول جوجل ومقابلة إبسون مع حسام الصغير

    2 days ago

    8

    ارتفاع أسعار آبل وهجرة عقول جوجل ومقابلة إبسون مع حسام الصغير

    في هذه الحلقة من بودكاست بازينجا، يستعرض الإعلامي علي محي الدين أهم المستجدات في أخبار الذكاء الاصطناعي والتحولات الكبرى في قطاع التقنية العالمي.  نناقش تصريحات تيم كوك حول الارتفاع الحتمي لأسعار أجهزة آبل المستقبلية نتيجة نقص الرقائق العالمي الناجم عن الطلب الهائل من شركات الأنظمة الذكية. كما نسلط الضوء على هجرة العقول التاريخية من مختبرات جوجل ديب مايند، وانتقال النوابغ مثل نوام شازير وجون جمبر إلى أوبن إيه آي وأنثروبيك.  ونستعرض إعلان شركة فيجر إيه آي عن تفوق عدد الروبوتات البشرية العاملة في منشآتها على الموظفين البشر لأول مرة، إلى جانب تراجع أمازون عن إنتاج فيلم السيرة الذاتية لسام ألتمان، وإلغاء سامسونج لحظر استخدام أدوات التوليد الآلي في منشآتها. تتضمن الحلقة مقابلة خاصة مع حسام الصغير، مدير المبيعات الإقليمي لشركة إبسون في الشرق الأوسط ومسؤول إدارة أعمال الشركة في السعودية.  يتناول الحوار مستقبل الابتكار، واستراتيجيات المبيعات، وتأثير الأوضاع الجيوسياسية على سلاسل الإمداد، وتفاصيل دمج التقنيات الذكية في منتجات إبسون الجديدة بالتعاون مع شركات عالمية مثل بوز. 🔗 روابط بازينجا الرسمية 🌐 الموقع الإلكترونيhttps://buzzinga.ai ▶️ يوتيوب https://www.youtube.com/@Buzzingaai 💼 لينكدإن https://www.linkedin.com/company/buzzingaai 🎵 تيك توك https://www.tiktok.com/@buzzingaai 🐦 إكس https://x.com/BuzzingaAi 📸 إنستغرام https://www.instagram.com/buzzingaai 📘 فيسبوك https://www.facebook.com/buzzingaai #بازينجا #تقنية #حوسبة #أوبن_إيه_آي #آبل #إبسون

    2 days ago

    •
    21 min
  • بودكاست 2043 | القواعد الجديدة لبناء الشركات في عصر الذكاء الاصطناعي مع محمد فهمي

    24 Apr

    9

    بودكاست 2043 | القواعد الجديدة لبناء الشركات في عصر الذكاء الاصطناعي مع محمد فهمي

    ،#podcast2043 في حلقة جديدة من .بنستضيف محمد فهمي اللي يشاركنا خبرته في عالم الشركات الناشئة والبيزنس بنتناقش في واحدة من أكبر التحديات اللي بتواجه أي رائد أعمال: إمتى تركز على النمو السريع وإمتى يكون اهتمامك الربحية؟ محمد فهمي بيوضح لنا الأخطاء الشائعة اللي بتقع فيها الشركات وهي بتحاول تتوسع، وليه النمو بدون تخطيط ممكن يكون هو السبب في النهاية. وبناقش إزاي تبني نموذج عمل مستدام يقدر يواجه تقلبات السوق  .ويحقق نجاح حقيقي على المدى الطويل   In this episode of #podcast2043, we host Mohamed Fahmy, who shares his extensive experience in the world of startups and business. We discuss one of the greatest challenges facing any entrepreneur: when to focus on rapid growth and when to prioritize profitability. Mohamed explains the common mistakes companies make while scaling and why growth without planning can lead to their downfall. We also discuss how to build a sustainable business model that can withstand market fluctuations and achieve true long-term success. Follow us :  https://www.facebook.com/TPPnetwork.FB  https://www.instagram.com/tpp.network  https://www.tiktok.com/@tpp.network 00:00:00 المقدمة 00:02:07 هل نحن نفهم فعلاً ما يحدث في عالم التكنولوجيا اليوم؟ 00:02:28 ذكريات 35 سنة من العمل المشترك وبدايات العمل في IBM 00:03:10 حقيقة نسب نجاح تطبيقات الذكاء الاصطناعي في الشركات (دراسات ماكنزي وجارتنر) 00:04:47 الفرق بين "التحول الرقمي" (Digital Transformation) و"تبني" الذكاء الاصطناعي (AI Adoption) 00:06:56 خطر "المروجين" (Promoters) مقابل "المستخدمين" في نشر معلومات مضللة 00:15:16 تطبيقات البيانات في قطاع الطاقة الشمسية وتوليد الطاقة 00:17:48 العلاقة بين إنترنت الأشياء (IoT)، الذكاء الاصطناعي، والبلوكشين 00:25:14 المشكلات التي يواجهها الموظفون داخل الشركات (The Corporate Employee Dilemma) 00:30:48 أهمية جودة السؤال (Prompt Engineering) في الحصول على نتائج صحيحة 00:31:52 دور المحكم في التوفيق بين الإدارة وأقسام التكنولوجيا حول جدوى الذكاء الاصطناعي 00:44:26 تأثير التكنولوجيا على حياة الشركات واستمراريتها 00:48:42 لماذا فشلت شركات كبرى مثل كوداك ونوكيا في مواكبة التطور؟ 00:56:01 أهمية وجود "خارطة طريق" (Blueprint) لاستخدام التكنولوجيا داخل الشركة 00:58:20 كيفية حساب العائد على الاستثمار (ROI) لعمليات الذكاء الاصطناعي 01:03:41 نصائح المستشارين وأهمية "حالات الاستخدام" (Use Cases) 01:09:28 مستويات تبني التكنولوجيا: الأفراد، الشركات، المجتمع، والحكومة 01:17:18 دور الحكومة في دعم التكنولوجيا (مثال محطات شحن السيارات الكهربائية) 01:23:02 دراسة حالة على 20 شركة: كيف يستخدم الموظفون الذكاء الاصطناعي فعلياً؟ Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

    24 Apr

    •
    1hr 29min
  • كيف تبني مسارك المهني في الكلاود داخل الشركات الكبرى؟ | محمود عطالله

    21/12/2025

    10

    كيف تبني مسارك المهني في الكلاود داخل الشركات الكبرى؟ | محمود عطالله

    تعالوا نتكلم بجد عن الكلاود في الشركات الكبيرة 👀مش أي كلاود .. نتكلم عن الشركات اللي بتبني أنظمة بتخدم ملايين المستخدمين يوميا.كتير من الناس لسه شايفة إن الـ Cloud مجرد:سيرفر أو Hosting .. تعمل عليه Deploy وخلاصلكن الحقيقة إن الموضوع أعمق وأعقد بكتير.في الشركات الكبيرة، الكلاود يعني:- قرارات معمارية مصيرية- Cost optimization وتسعير محسوب- Scalablity حقيقي وقت الضغط- High Availability وBusiness Continuity- Security وCompliance على مستوى مؤسسيوده كله بيقع تحت دور وظيفي مهم جدا اسمه Cloud Solutions Architect.في حلقة النهارده، معانا المهندس Mahmoud A. ATALLAHخبرة أكتر من 15 سنة في الـ IT والـ Infrastructure داخل شركات كبرى.حاليًا يشغل منصب استراتيجي كـHead of Azure Solutions في Bespin Global MEA, an e& enterprise company وهي شركة تابعة لمجموعة e& UAE (اتصالات الإمارات).شغله اليومي هو تصميم وبناء Cloud Architecturesلمشاريع ضخمة بتخدم ملايين المستخدمين على مستوى المنطقة.شوفوا الحلقة هتستفادوا من خبرات قوية جداً شاركها معانا ومعلومات عن ازاي تنجح صح في اتجاه الكلاود في الشركات الكبرى.

    21/12/2025

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    1hr 51min

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Select a country or region

Africa, Middle East, and India

  • Algeria
  • Angola
  • Armenia
  • Azerbaijan
  • Bahrain
  • Benin
  • Botswana
  • Burkina Faso
  • Cameroun
  • Cape Verde
  • Chad
  • Côte d’Ivoire
  • Congo, The Democratic Republic Of The
  • Egypt
  • Eswatini
  • Gabon
  • Gambia
  • Ghana
  • Guinea-Bissau
  • India
  • Iraq
  • Israel
  • Jordan
  • Kenya
  • Kuwait
  • Lebanon
  • Liberia
  • Libya
  • Madagascar
  • Malawi
  • Mali
  • Mauritania
  • Mauritius
  • Morocco
  • Mozambique
  • Namibia
  • Niger (English)
  • Nigeria
  • Oman
  • Qatar
  • Congo, Republic of
  • Rwanda
  • São Tomé and Príncipe
  • Saudi Arabia
  • Senegal
  • Seychelles
  • Sierra Leone
  • South Africa
  • Sri Lanka
  • Tajikistan
  • Tanzania, United Republic Of
  • Tunisia
  • Turkmenistan
  • United Arab Emirates
  • Uganda
  • Yemen
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  • Zimbabwe

Asia Pacific

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  • Tonga
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  • Vietnam

Europe

  • Albania
  • Armenia
  • Österreich
  • Belarus
  • Belgium
  • Bosnia and Herzegovina
  • Bulgaria
  • Croatia
  • Cyprus
  • Czechia
  • Denmark
  • Estonia
  • Finland
  • France (Français)
  • Georgia
  • Deutschland
  • Greece
  • Hungary
  • Iceland
  • Ireland
  • Italia
  • Kosovo
  • Latvia
  • Lithuania
  • Luxembourg (English)
  • Malta
  • Moldova, Republic Of
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  • Nederland
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  • Norway
  • Poland
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