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Data Science at Home

Podcast Data Science at Home
Francesco Gadaleta
Technology, AI, machine learning and algorithms. Come join the discussion on Discord! https://discord.gg/4UNKGf3

Dostępne odcinki

5 z 279
  • Scaling Smart: AI, Data, and Building Future-Ready Enterprises with Josh Miramant (Ep. 276)
    In this episode, we dive into the transformative world of AI, data analytics, and cloud infrastructure with Josh Miramant, CEO of Blue Orange Digital. As a seasoned entrepreneur with over $25 million raised across ventures and two successful exits, Josh shares invaluable insights on scaling data-driven businesses, integrating machine learning frameworks, and navigating the rapidly evolving landscape of cloud data architecture. From generative AI to large language models, Josh explores cutting-edge trends shaping financial services, real estate, and consumer goods. Tune in for a masterclass in leveraging data for impact and innovation!   Links https://blueorange.digital/ https://blueorange.digital/blog/a-data-intelligence-platform-what-is-it/ https://blueorange.digital/blog/ai-makes-bi-tools-accessible-to-anyone/    
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  • Autonomous Weapons and AI Warfare (Ep. 275)
    Here’s the updated text with links to the websites included: AI is revolutionizing the military with autonomous drones, surveillance tech, and decision-making systems. But could these innovations spark the next global conflict? In this episode of Data Science at Home, we expose the cutting-edge tech reshaping defense—and the chilling ethical questions that follow. Don’t miss this deep dive into the AI arms race! 🎧 LISTEN / SUBSCRIBE TO THE PODCAST Apple Podcasts Podbean Podcasts Player FM Chapters 00:00 - Intro 01:54 - Autonomous Vehicles 03:11 - Surveillance And Reconnaissance 04:15 - Predictive Analysis 05:57 - Decision Support System 08:24 - Real World Examples 10:42 - Ethical And Strategic Considerations 12:25 - International Regulation 13:21 - Conclusion 14:50 - Outro ✨ Connect with us! 🎥Youtube: https://www.youtube.com/@DataScienceatHome 📩 Newsletter: https://datascienceathome.substack.com 🎙 Podcast: Available on Spotify, Apple Podcasts, and more. 🐦 Twitter: @DataScienceAtHome 📘 LinkedIn: Francesco Gad 📷 Instagram: https://www.instagram.com/datascienceathome/ 📘 Facebook: https://www.facebook.com/datascienceAH 💼 LinkedIn: https://www.linkedin.com/company/data-science-at-home-podcast 💬 Discord Channel: https://discord.gg/4UNKGf3 NEW TO DATA SCIENCE AT HOME? Welcome! Data Science at Home explores the latest in AI, data science, and machine learning. Whether you’re a data professional, tech enthusiast, or just curious about the field, our podcast delivers insights, interviews, and discussions. Learn more at https://datascienceathome.com. 📫 SEND US MAIL! We love hearing from you! Send us mail at: [email protected] Don’t forget to like, subscribe, and hit the 🔔 for updates on the latest in AI and data science! #DataScienceAtHome #ArtificialIntelligence #AI #MilitaryTechnology #AutonomousDrones #SurveillanceTech #AIArmsRace #DataScience #DefenseInnovation #EthicsInAI #GlobalConflict #PredictiveAnalysis #AIInWarfare #TechnologyAndEthics #AIRevolution #MachineLearning  
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  • 8 Proven Strategies to Scale Your AI Systems Like OpenAI! 🚀 (Ep. 274)
    In this episode of Data Science at Home, we’re diving deep into the powerful strategies that top AI companies, like OpenAI, use to scale their systems to handle millions of requests every minute! From stateless services and caching to the secrets of async processing, discover 8 essential strategies to make your AI and machine learning systems unstoppable. Whether you're working with traditional ML models or large LLMs, these techniques will transform your infrastructure. Hit play to learn how the pros do it and apply it to your own projects!   LISTEN / SUBSCRIBE TO THE PODCAST YouTube: https://www.youtube.com/@DataScienceatHome Apple Podcasts: https://podcasts.apple.com/us/podcast/data-science-at-home/id1069871378 Podbean Podcasts: https://datascienceathome.podbean.com/ Player Fm: https://player.fm/series/data-science-at-home-2600992   Chapters 00:00 Intro 00:34 Scalability Strategies 01:08 Stateless Services 02:47 Horizontal Scaling 04:51 Load Balancing 06:14 Auto Scaling 07:41 Caching 09:27 Database Replication 11:07 Database Sharding 12:54 Async Processing 14:50 Infographics   RESOURCES & LINKS Data Science at home: https://datascienceathome.com Amethix Technologies: https://amethix.com   CONNECT WITH US! Instagram: https://www.instagram.com/datascienceathome/ Twitter: @datascienceathome Facebook: https://www.facebook.com/datascienceAH LinkedIn: https://www.linkedin.com/company/data-science-at-home-podcast Discord Channel: https://discord.gg/4UNKGf3 NEW TO DATA SCIENCE AT HOME? Welcome! Data Science at Home explores the latest in AI, data science, and machine learning. Whether you’re a data professional, tech enthusiast, or just curious about the field, our podcast delivers insights, interviews, and discussions. Learn more at https://datascienceathome.com   SEND US MAIL! We love hearing from you! Send us mail at:  [email protected]
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  • Humans vs. Bots: Are You Talking to a Machine Right Now? (Ep. 273)
    In this episode of Data Science at Home, host Francesco Gadaleta dives deep into the evolving world of AI-generated content detection with experts Souradip Chakraborty, Ph.D. grad student at the University of Maryland, and Amrit Singh Bedi, CS faculty at the University of Central Florida.  Together, they explore the growing importance of distinguishing human-written from AI-generated text, discussing real-world examples from social media to news. How reliable are current detection tools like DetectGPT? What are the ethical and technical challenges ahead as AI continues to advance? And is the balance between innovation and regulation tipping in the right direction?    Tune in for insights on the future of AI text detection and the broader implications for media, academia, and policy.   Chapters    00:00 - Intro  00:23 - Guests: Souradip Chakraborty and Amrit Singh Bedi  01:25 - Distinguish Text Generation By AI  04:33 - Research on Safety and Alignment of Generative Model  06:01 - Tools to Detect Generated AI Text   11:28 - Water Marking 18:27 - Challenges in Detecting Large Documents Generated by AI  23:34 - Number of Tokens  26:22 - Adversarial Attack 29:01 - True Positive and False Positive of Detectors  31:01 - Limit of Technologies  41:01 - Future of AI Detection Techniques  46:04 - Closing Thought   Subscribe to our new YouTube channel https://www.youtube.com/@DataScienceatHome  
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  • AI bubble, Sam Altman’s Manifesto and other fairy tales for billionaires (Ep. 272)
    Welcome to Data Science at Home, where we don’t just drink the AI Kool-Aid. Today, we’re dissecting Sam Altman’s “AI manifesto”—a magical journey where, apparently, AI will fix everything from climate change to your grandma's back pain. Superintelligence is “just a few thousand days away,” right? Sure, Sam, and my cat’s about to become a calculus tutor.   In this episode, I’ll break down the bold (and often bizarre) claims in Altman’s grand speech for the Intelligence Age. I’ll give you the real scoop on what’s realistic, what’s nonsense, and why some tech billionaires just can’t resist overselling. Think AI’s all-knowing, all-powerful future is just around the corner? Let’s see if we can spot the fairy dust.   Strap in, grab some popcorn, and get ready to see past the hype!   Chapters   00:00 - Intro 00:18 - CEO of Baidu Statement on AI Bubble 03:47 - News On Sam Altman Open AI 06:43 - Online Manifesto "The Intelleigent Age" 13:14 - Deep Learning 16:26 - AI gets Better With Scale 17:45 - Conclusion On Manifesto   Still have popcorns?  Get some laughs at https://ia.samaltman.com/    #AIRealTalk #NoHypeZone #InvestorBaitAlert
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