Diaries of a Data Scientist

🎙️ New Episode AVAILABLE NOW 🐈This week on Diaries of a Data Scientist, we’re opening another page with an incredible guest — Christoph Weisser, Technical Lead at BASF and our close friend.In this episode, we explore the contrasts between academia and industry, discuss the impact of open source, uncover what tech leadership really means, and share tips on building confidence in public speaking — and, as always, we include stories from you ✨☕️ And if you’ve got more questions or stories—drop them in the comments! We’re always listening.👇P.S. How many times did you see Jasmin's recently adopted cats? 🐈If you Like our Podcast, please consider Leaving a Review on Spotify, Subscribe on Youtube and leave a comment and/or 👍! This would help us a lot!#DiariesOfADataScientist #Tech #Community #Leadership #AI #Podcast #Curiosity #BusinessImpact #StayTuned #DataScience

🎙️ New Episode AVAILABLE NOW 👇🏼After our summe break, this week on Diaries of a Data Scientist, we have a truly special episode. It’s warm, full of honest, and maybe even vulnerable stories, where insights, vivid truth, and inspiring strength come together.We’re excited to welcome Polina Galkin, Senior Data Scientist at SAP, who joined us to share her 𝐃𝐢𝐚𝐫𝐲 𝐨𝐟 𝐚 𝐃𝐚𝐭𝐚 𝐒𝐜𝐢𝐞𝐧𝐭𝐢𝐬𝐭 📖 (as usual, with stories from you)☕️ And if you’ve got more questions or stories—drop them in the comments! We’re always listening.👇If you Like our Podcast, please consider Leaving a Review on Spotify, Subscribe on Youtube and leave a comment and/or 👍! This would help us a lot!#DiariesOfADataScientist #Tech #Community #Leadership #AI #Podcast #Curiosity #BusinessImpact #StayTuned #DataScience

🎙️ 𝐎𝐮𝐫 𝐍𝐞𝐱𝐭 𝐆𝐮𝐞𝐬𝐭 𝐈𝐬 𝐈𝐧! 👇🏼There are so many great voices in our field and this time we’re joined by someone many of you already follow and admire!We’re excited to welcome Yashar Ahmadov, Senior Simulation Data Scientist at Amazon in Luxembourg, who joined us to share his Diary of a Data Scientist 📖✨As always, we gathered top questions and stories from our #DODS community — and yes, we asked @Yashar for his honest advice, straight from experience.Expect a calm, honest conversation — with a few surprises and plenty of insights worth writing down.🔍In this episode, we turn the pages on:Leadership and the permission to fail in a world with high AI expectationsStaying curious without burning outWhy ignoring the real business problem is one of the biggest risks in data☕️ And if you’ve got more questions or stories—drop them in the comments! We’re always listening.👇If you Like our Podcast, please consider Leaving a Review on Spotify, Subscribe on Youtube and leave a comment and/or 👍! This would help us a lot!#DiariesOfADataScientist #Tech #Community #Leadership #AI #Podcast #Curiosity #BusinessImpact #StayTuned #DataScience

🎙 Episode 30 is LIVEAfter 29 episodes of algorithms, models, and metrics… we’re diving into something that might matter even more—soft skills. Specifically, the 5 principles of effective AI communication that can make or break your impact as a data scientist.🧠 Why does it matter?Soft skills are rising fast in tech. Professionals who can clearly communicate AI outcomes are being seen as more valuable, more trusted, and more promotable (based on internal and non-public research). It's no longer optional—it's a differentiator.📖 A story no one’s heard before...🚀 Why you need this NOW:Whether you’re junior or leading teams, these 5 principles will help you:Communicate AI outcomes with clarity and confidenceBuild trust with stakeholdersBecome the go-to person for high-impact decisionsFuture-proof your role in the age of AI🎧 Tune in now and let’s grow together →If you Like our Podcast, please consider Leaving a Review on Spotify, Subscribe on Youtube and leave a comment and/or 👍! This would help us a lot!#DiariesOfADataScientist #ArtificialIntelligence #FutureTech🪽 Follow Jasmin on LinkedIn: https://www.linkedin.com/in/jasmin-weimueller-bsc2018/ 🪽 Follow Kate on LinkedIn: https://www.linkedin.com/in/kate-nazarova-data-science/ 🪽 Subscribe to our official DODS page: https://www.linkedin.com/company/diaries-of-data-scientist/Follow us on Medium👇🖇 Jasmin’s Medium page: https://medium.com/@JasminWhy 🖇 Kate’s Medium page: https://medium.com/@Kate_in_DSJoin us on other platforms:🎧 Spotify:  https://open.spotify.com/show/1DAelRe22W8vBHK7rTU361?si=4e4f3d7bc67546cc 🎧 Apple: https://www.google.com/url?sa=t&source=web&rct=j&opi=89978449&url=https://podcasts.apple.com/us/podcast/diaries-of-a-data-scientist/id1710961657&ved=2ahUKEwjhm8PdhMWIAxV6qZUCHYZsCDwQFnoECBsQAQ&usg=AOvVaw1deaPC2MF6aWM69-SKSRoH 🎧 Amazon: https://amzn.asia/d/7J3UkTE 🎧 Podimo: https://podimo.com/de/shows/diaries-of-a-data-scientist 🎧 Podscribe: https://app.podscribe.ai/series/2353052

𝐎𝐮𝐫 𝐅𝐢𝐫𝐬𝐭 𝐆𝐮𝐞𝐬𝐭 𝐉𝐨𝐢𝐧𝐬 𝐃𝐢𝐚𝐫𝐢𝐞𝐬 𝐨𝐟 𝐚 𝐃𝐚𝐭𝐚 𝐒𝐜𝐢𝐞𝐧𝐭𝐢𝐬𝐭!  🎙️We’ve had incredible conversations on our podcast, but this episode is extra special—because for the first time, we’re bringing in a guest!Meet Florian Roscheck, Senior Data Scientist at @Henkel, who joined us to share 𝐡𝐢𝐬 𝐃𝐢𝐚𝐫𝐲 𝐨𝐟 𝐚 𝐃𝐚𝐭𝐚 𝐒𝐜𝐢𝐞𝐧𝐭𝐢𝐬𝐭 📖✨A huge 𝐭𝐡𝐚𝐧𝐤 𝐲𝐨𝐮 to our amazing community for helping us shape this episode! Your questions and stories guided our discussion, making it even more insightful and valuable. 💡🔍Here’s what we tackled:💡 How do you break through rejections and secure your first role?🛠️ Can you get into tech with a non-tech background? (Spoiler: Yes, and here’s how.)📈 Once you’re in, how do you actually succeed and grow?🗣️ Why 𝐜𝐨𝐦𝐦𝐮𝐧𝐢𝐜𝐚𝐭𝐢𝐨𝐧 𝐬𝐤𝐢𝐥𝐥𝐬 can define your career more than you think.New episode drops today!☕️ And if you’ve got more questions or stories—drop them in the comments! We’re always listening.👇If you Like our Podcast, please consider Leaving a Review on Spotify, Subscribe on Youtube and leave a comment and/or 👍! This would help us a lot!#DiariesOfADataScientist #Tech #Community🪽 Follow Jasmin on LinkedIn: https://www.linkedin.com/in/jasmin-weimueller-bsc2018/ 🪽 Follow Kate on LinkedIn: https://www.linkedin.com/in/kate-nazarova-data-science/ 🪽 Subscribe to our official DODS page: https://www.linkedin.com/company/diaries-of-data-scientist/Follow us on Medium👇🖇 Jasmin’s Medium page: https://medium.com/@JasminWhy 🖇 Kate’s Medium page: https://medium.com/@Kate_in_DSJoin us on other platforms:🎧 Spotify:  https://open.spotify.com/show/1DAelRe22W8vBHK7rTU361?si=4e4f3d7bc67546cc 🎧 Apple: https://www.google.com/url?sa=t&source=web&rct=j&opi=89978449&url=https://podcasts.apple.com/us/podcast/diaries-of-a-data-scientist/id1710961657&ved=2ahUKEwjhm8PdhMWIAxV6qZUCHYZsCDwQFnoECBsQAQ&usg=AOvVaw1deaPC2MF6aWM69-SKSRoH 🎧 Amazon: https://amzn.asia/d/7J3UkTE 🎧 Podimo: https://podimo.com/de/shows/diaries-of-a-data-scientist 🎧 Podscribe: https://app.podscribe.ai/series/2353052Time:0:00 Intro00:43 Chapter 1: Getting into Data Science03:59 Story 1: First Story: How to get into the data science full-time position having a master in Chemical Engineering11:56 Chapter 2: Being a good Data Scientist21:59 Story 2: International Experience29:18 Chapter 3: Further development as a Data Scientist35:27 Story 3: How to successfully adopt AI-solutions

For the past three weeks, we've been lucky to witness a surge in the AI race that's reshaping the global technology landscape.In Episode 28, which is Part 2: “Fast & Furious: AI Whirlwind of 2025” of Diaries of a Data Scientist, we continue our discussion around AGI, the global AI Players and dive into some of the most intriguing developments in the field:Stargate Project: : What exactly is it, and how does it pave the way for AGI and ASI?DeepSeek R1 Model: A $5M innovation that Italy has already banned—what's behind this decision?OpenAI's Latest: How do these new developments fit into the broader picture?European AI Champions: Is Europe poised to lead, or will AI regulation leave it trailing behind?And many more!New episode drops today! 𝐓𝐡𝐢𝐬 𝐢𝐬𝐧’𝐭 𝐲𝐨𝐮𝐫 𝐞𝐯𝐞𝐫𝐲𝐝𝐚𝐲 𝐭𝐞𝐜𝐡 𝐜𝐡𝐚𝐭!☕️ Grab your coffee, buckle up, and join us for an exhilarating exploration of the future of AI. The conversation is just getting started!If you Like our Podcast, please consider Leaving a Review on Spotify, Subscribe on Youtube and leave a comment and/or 👍! This would help us a lot!#DiariesOfADataScientist #ArtificialIntelligence #FutureTechReferences:People to follow: Vanessa Cann, Cassie, Eduardo OrdaxBooks:Nick Bostrom - Superintelligence“A Logic Named Joe” written in 1946 (https://www.amazon.com/Logic-Named-Joe-Murray-Leinster-ebook/dp/B00AP989JK)AGI:https://medium.com/singularitynet/a-short-history-of-foundational-agi-theories-e9840df9c77bhttps://www.forbes.com/sites/gilpress/2024/03/29/artificial-general-intelligence-or-agi-a-very-short-history/https://medium.com/@Lidinwise/a-glimpse-into-the-future-of-agi-and-the-evolution-of-human-thought-79e9d323fbabOpenAI:https://openai.com/index/introducing-deep-research/?utm_source=chatgpt.comhttps://openai.com/index/openai-o3-mini/https://openai.com/index/introducing-openai-o1-preview/?utm_source=chatgpt.comhttps://www.reuters.com/markets/deals/elon-musk-led-group-makes-974-billion-bid-control-openai-wsj-reports-2025-02-10/https://arxiv.org/pdf/2501.12948 - DeepSeek Research paperhttps://openai.com/index/announcing-the-stargate-project/DeepSeek:https://www.bbc.com/news/articles/c5yv5976z9pohttps://medium.com/@la_boukouffallah/understanding-reinforcement-learning-in-deepseek-r1-079d3360ca6co3-mini vs DeepSeek 3 tests comparison: https://www.youtube.com/watch?v=KoTI8_4epTw&t=1127shttps://www.reuters.com/technology/artificial-intelligence/italys-privacy-watchdog-blocks-chinese-ai-app-deepseek-2025-01-30/?utm_source=chatgpt.comhttps://techcrunch.com/2025/01/27/deepseek-displaces-chatgpt-as-the-app-stores-top-app/https://www.theguardian.com/business/2025/jan/27/what-is-deepseek-and-why-did-us-tech-stocks-fallhttps://www.ig.com/en/news-and-trade-ideas/why-nvidia-s-share-price-dropped-17--after-deepseek-news-250128https://fxopen.com/blog/en/oa-nvidia-nvda-stock-price-drops-by-approximately-17/AI Investments and Delayshttps://www.riotimesonline.com/eu-unveils-e200-billion-plan-to-lead-in-artificial-intelligence/#:~:text=The EU AI Champions Initiative%2C led by investment firm General,and employ millions across Europehttps://english.cw.com.tw/article/article.action?id=3955#:~:text=The Artificial Intelligence (AI) Action,with the US and Chinahttps://www.theguardian.com/technology/article/2024/jun/21/apple-ai-europe-regulation?utm_source=chatgpt.comhttps://cepa.org/article/europes-ai-blues-us-companies-slow-deployment/?utm_source=chatgpt.comhttps://www.theguardian.com/technology/2024/oct/09/meta-launches-its-ai-chatbot-in-the-uk-on-facebook-and-instagram?utm_source=chatgpt.comhttps://www.businesswire.com/news/home/20250204744295/en/COMPL-AI-Identifies-Critical-Compliance-Gaps-in-DeepSeek-Models-Under-the-EU-AI-Act?utm_source=chatgpt.comhttps://www.pymnts.com/artificial-intelligence-2/2025/openai-ceo-sam-altman-eu-regulations-could-limit-access-to-ai/?utm_source=chatgpt.com

𝑰𝒔 𝑨𝑮𝑰 𝒕𝒉𝒆 𝒈𝒂𝒕𝒆𝒘𝒂𝒚 𝒕𝒐 𝐞𝒏𝒅𝒍𝒆𝒔𝒔 𝐢𝒏𝒏𝒐𝒗𝒂𝒕𝒊𝒐𝒏, 𝒐𝒓 𝒂𝒓𝒆 𝒘𝒆 𝒇𝒍𝒊𝒓𝒕𝒊𝒏𝒈 𝒘𝒊𝒕𝒉 𝒅𝒊𝒔𝒂𝒔𝒕𝒆𝒓?Are we on the brink of a technological revolution—or staring down the barrel of a ticking time bomb?💣 Tune in to the latest episode of the Diaries of a Data Scientist Podcast with @Jasmin and @Kate, as we pull back the curtain on the wild, unpredictable world of AI.What’s in store?🔹 ANI vs. AGI vs. ASI:Dive into the evolution of AI from today's specialized systems to the ambitious dreams of tomorrow—and discover where Foundational & Multimodal Models take their place.🔹 A Walk Through AI History:Ever wondered how the baby steps of early AI innovations set the stage for today’s breakthroughs? We’ll take you on a journey from the past to our cutting-edge present.🔹 The Great AI Divide:Why are the world’s top AI minds split into three distinct camps?New episode drops today! 𝐓𝐡𝐢𝐬 𝐢𝐬𝐧’𝐭 𝐲𝐨𝐮𝐫 𝐞𝐯𝐞𝐫𝐲𝐝𝐚𝐲 𝐭𝐞𝐜𝐡 𝐜𝐡𝐚𝐭!But here’s the real tease: In Part Two, we’re zooming in on Europe—exploring the impact of the EU AI Act and getting into the nitty-gritty tech behind DeepSeek, o3-mini, and the Stargate project.☕️ Grab your coffee, buckle up, and join us for an exhilarating exploration of the future of AI. The conversation is just getting started!#DiariesOfADataScientist #ArtificialIntelligence #FutureTech

𝐖𝐡𝐚𝐭 𝐀𝐈 𝐭𝐫𝐞𝐧𝐝𝐬 𝐰𝐢𝐥𝐥 𝐝𝐨𝐦𝐢𝐧𝐚𝐭𝐞 𝐢𝐧 2025? 𝐇𝐨𝐰 𝐰𝐢𝐥𝐥 𝐛𝐮𝐬𝐢𝐧𝐞𝐬𝐬𝐞𝐬 𝐚𝐝𝐚𝐩𝐭? 𝐀𝐧𝐝 𝐰𝐡𝐚𝐭 𝐝𝐨𝐞𝐬 𝐢𝐭 𝐚𝐥𝐥 𝐦𝐞𝐚𝐧 𝐟𝐨𝐫 𝐩𝐫𝐨𝐟𝐞𝐬𝐬𝐢𝐨𝐧𝐚𝐥𝐬 𝐥𝐢𝐤𝐞 𝐲𝐨𝐮? In our new 26th episode, “𝐀𝐈 𝐓𝐫𝐞𝐧𝐝𝐬 𝐢𝐧 2025”, we sit down with Jasmin/Kate to discuss the key trends and changes shaping the future of AI and the data field: AI Trends for 2025 for business The shifts coming to hiring processes for data roles What professionals can expect in this evolving industry 🎙 New episode drops today! Listen & Subscribe ✨ Interesting facts for you: Nearly 60% of businesses plan to increase their AI investments in 2025 (Hosting Survey). Big Data Specialist is the fastest-growing job, with Data Scientists and Analysts ranked 11th (World Economic Forum). If you enjoy our podcast, please consider: ⭐ Leaving a review on Spotify / Apple Podcasts 📩 Subscribe 💬 Leave a comment or 👍 to support us! Your engagement means the world to us.❣️ #DataScience #DODS #DiariesOfADataScientist #AICommunity 🪽 Follow Jasmin on LinkedIn: https://www.linkedin.com/in/jasmin-weimueller-bsc2018/ 🪽 Follow Kate on LinkedIn: https://www.linkedin.com/in/kate-nazarova-data-science/ 🪽 Subscribe to our official DODS page: https://www.linkedin.com/company/diaries-of-data-scientist/ Follow us on Medium👇 🖇 Jasmin’s Medium page: https://medium.com/@JasminWhy 🖇 Kate’s Medium page: https://medium.com/@Kate_in_DS Join us on other platforms: 🎧 Apple:  https://www.google.com/url?sa=t&source=web&rct=j&opi=89978449&url=https://podcasts.apple.com/us/podcast/diaries-of-a-data-scientist/id1710961657&ved=2ahUKEwjhm8PdhMWIAxV6qZUCHYZsCDwQFnoECBsQAQ&usg=AOvVaw1deaPC2MF6aWM69-SKSRoH 🎧 Amazon: https://amzn.asia/d/7J3UkTE 🎧 Podimo: https://podimo.com/de/shows/diaries-of-a-data-scientist 🎧 Podscribe: https://app.podscribe.ai/series/2353052

#Christmas Special🎄𝐘𝐨𝐮𝐫 𝐃𝐚𝐭𝐚 𝐢𝐬 𝐇𝐨𝐧𝐞𝐬𝐭. 𝐘𝐨𝐮𝐫 𝐁𝐢𝐚𝐬 𝐢𝐬 𝐍𝐨𝐭. As 2024 comes to a close, it's time to pause and reflect on how we make decisions in data-driven projects. In this Christmas Special, we’re diving into the fascinating world of ”𝐂𝐨𝐠𝐧𝐢𝐭𝐢𝐯𝐞 𝐁𝐢𝐚𝐬𝐞𝐬 𝐢𝐧 𝐃𝐚𝐭𝐚 𝐒𝐜𝐢𝐞𝐧𝐜𝐞”. 🧠✨ In this episode, you'll learn… 🎯 See how your own bias might be sabotaging your data science thinking process 🎯 Reflect on the decision-making process in 2024 🎯 Explore strategies to refine and elevate your approaches for 2025 In fact, 👾 massive algorithms built for mass usage cannot be created by one person alone—and cognitive biases are one of the reasons why. 𝐘𝐨𝐮𝐫 𝐝𝐚𝐭𝐚 𝐦𝐢𝐠𝐡𝐭 𝐧𝐨𝐭 𝐛𝐞 𝐥𝐲𝐢𝐧𝐠—𝐛𝐮𝐭 𝐲𝐨𝐮𝐫 𝐛𝐢𝐚𝐬 𝐦𝐢𝐠𝐡𝐭 𝐛𝐞. If you like our podcast, please consider leaving a review on Spotify, subscribe on Youtube and leave a comment and/or 👍! This would help us a lot 🩵 #datascience #dods #diariesofadatascientist #aicommunity Reading Recommendations: Thinking Fast and Slow - Daniel Kahneman The art of thinking clearly - Rolf Dobelli Quit - Annie Duke 🪽 Follow Jasmin on LinkedIn: https://www.linkedin.com/in/jasmin-weimueller-bsc2018/ 🪽 Follow Kate on LinkedIn: https://www.linkedin.com/in/kate-nazarova-data-science/ 🪽 Subscribe to our official DODS page: https://www.linkedin.com/company/diaries-of-data-scientist/ Follow us on Medium👇 🖇 Jasmin’s Medium page: https://medium.com/@JasminWhy 🖇 Kate’s Medium page: https://medium.com/@Kate_in_DS Join us on other platforms: 🎧 Spotify:  https://open.spotify.com/show/1DAelRe22W8vBHK7rTU361?si=4e4f3d7bc67546cc 🎧 Apple:  https://www.google.com/url?sa=t&source=web&rct=j&opi=89978449&url=https://podcasts.apple.com/us/podcast/diaries-of-a-data-scientist/id1710961657&ved=2ahUKEwjhm8PdhMWIAxV6qZUCHYZsCDwQFnoECBsQAQ&usg=AOvVaw1deaPC2MF6aWM69-SKSRoH 🎧 Amazon: https://amzn.asia/d/7J3UkTE 🎧 Podimo: https://podimo.com/de/shows/diaries-of-a-data-scientist 🎧 Podscribe: https://app.podscribe.ai/series/2353052

Ever found yourself wondering, “Is data science really for me?” Or maybe you’ve asked, “What does it actually take to become a data scientist?” We’ve been there, too! That’s why in our latest episode “Mentoring Insights: Top 5 Data Science Questions from Singapore”, we dove into some of the most common (and often intimidating) questions about breaking into the field of data science: 🌟 How do I know if data science is for me? 🎓 Which qualifications do I really need? 💡 Why isn’t a single course or bootcamp enough? If you’re considering a career in data science or trying to navigate the next step, this episode is for you. 💙 And remember, it’s okay to feel overwhelmed at first; every expert you admire was once a beginner! If you like our podcast, please consider leaving a review on Spotify, subscribe on Youtube and leave a comment and/or 👍! This would help us a lot ♥️ #datascience #dods #diariesofadatascientist #aicommunity 🪽 Follow Jasmin on LinkedIn: https://www.linkedin.com/in/jasmin-weimueller-bsc2018/ 🪽 Follow Kate on LinkedIn: https://www.linkedin.com/in/kate-nazarova-data-science/ 🪽 Subscribe to our official DODS page: https://www.linkedin.com/company/diaries-of-data-scientist/ Follow us on Medium👇 🖇 Jasmin’s Medium page: https://medium.com/@JasminWhy 🖇 Kate’s Medium page: https://medium.com/@Kate_in_DS Join us on other platforms: 🎧 Spotify:  https://open.spotify.com/show/1DAelRe22W8vBHK7rTU361?si=4e4f3d7bc67546cc 🎧 Apple:  https://www.google.com/url?sa=t&source=web&rct=j&opi=89978449&url=https://podcasts.apple.com/us/podcast/diaries-of-a-data-scientist/id1710961657&ved=2ahUKEwjhm8PdhMWIAxV6qZUCHYZsCDwQFnoECBsQAQ&usg=AOvVaw1deaPC2MF6aWM69-SKSRoH 🎧 Amazon: https://amzn.asia/d/7J3UkTE 🎧 Podimo: https://podimo.com/de/shows/diaries-of-a-data-scientist 🎧 Podscribe: https://app.podscribe.ai/series/2353052

In our latest episode of Diaries of a Data Scientist we dive into one of the most pressing challenges we face today: 𝐇𝐨𝐰 𝐝𝐨 𝐰𝐞 𝐛𝐮𝐢𝐥𝐝 𝐭𝐫𝐮𝐬𝐭 𝐢𝐧 𝐀𝐈 𝐚𝐧𝐝 𝐃𝐚𝐭𝐚 𝐒𝐜𝐢𝐞𝐧𝐜𝐞 𝐬𝐨𝐥𝐮𝐭𝐢𝐨𝐧𝐬? 👀👀 Kate recently met with a team of data scientists in Brazil, where key questions many of us have faced were raised: — How do we make business teams trust our models❓ — How can we translate complex technical concepts into something business people 𝐫𝐞𝐚𝐥𝐥𝐲 understand❓ — And how do we ensure our models deliver exactly what’s needed❓ In this episode, we break down 𝐬𝐭𝐫𝐚𝐭𝐞𝐠𝐢𝐞𝐬 you can use to bridge the gap between tech and business, build transparency, and most importantly—gain trust. Plus, we’re sharing 𝐚𝐜𝐭𝐢𝐨𝐧𝐚𝐛𝐥𝐞 𝐠𝐮𝐢𝐝𝐚𝐧𝐜𝐞 on making your strategies more accessible and trusted, drawing insights from our experience, the Technology Acceptance Model (TAM), and how explainability is shaping trust in tech. Trust me, you don’t want to miss this one. 😉 If you like our podcast, please consider leaving a review on Spotify, subscribe on Youtube and leave a comment and/or 👍! This would help us a lot ♥️ #datascience #dods #diariesofadatascientist #aicommunity 🪽 Follow Jasmin on LinkedIn: https://www.linkedin.com/in/jasmin-weimueller-bsc2018/ 🪽 Follow Kate on LinkedIn: https://www.linkedin.com/in/kate-nazarova-data-science/ 🪽 Subscribe to our official DODS page: https://www.linkedin.com/company/diaries-of-data-scientist/ Follow us on Medium👇 🖇 Jasmin’s Medium page: https://medium.com/@JasminWhy 🖇 Kate’s Medium page: https://medium.com/@Kate_in_DS Join us on other platforms: 🎧 Spotify:  https://open.spotify.com/show/1DAelRe22W8vBHK7rTU361?si=4e4f3d7bc67546cc 🎧 Apple:  https://www.google.com/url?sa=t&source=web&rct=j&opi=89978449&url=https://podcasts.apple.com/us/podcast/diaries-of-a-data-scientist/id1710961657&ved=2ahUKEwjhm8PdhMWIAxV6qZUCHYZsCDwQFnoECBsQAQ&usg=AOvVaw1deaPC2MF6aWM69-SKSRoH 🎧 Amazon: https://amzn.asia/d/7J3UkTE 🎧 Podimo: https://podimo.com/de/shows/diaries-of-a-data-scientist 🎧 Podscribe: https://app.podscribe.ai/series/2353052

𝐖𝐞𝐥𝐜𝐨𝐦𝐞 𝐛𝐚𝐜𝐤 𝐭𝐨 𝐭𝐡𝐞 𝐄𝐩𝐢𝐬𝐨𝐝𝐞 21! 🎙 Have you ever wondered how much control you truly have over your Gen. AI models? What about the protection of your data? 🤔 E𝐩𝐢𝐬𝐨𝐝𝐞 #22 𝐨𝐟 “𝐃𝐢𝐚𝐫𝐢𝐞𝐬 𝐨𝐟 𝐚 𝐃𝐚𝐭𝐚 𝐒𝐜𝐢𝐞𝐧𝐭𝐢𝐬𝐭” explores a David vs. Goliath like story: Open source taking on Generative AI Giants. ? Why should you care about models you can run 𝐥𝐨𝐜𝐚𝐥𝐥𝐲 or in your own 𝐩𝐫𝐢𝐯𝐚𝐭𝐞 𝐜𝐥𝐨𝐮𝐝 ? What if you could avoid paying a surplus on each token processed ? And how valuable is the global 𝐜𝐨𝐦𝐦𝐮𝐧𝐢𝐭𝐲 constantly improving and innovating these models? IWe also cover relevant 𝐨𝐩𝐞𝐧-𝐬𝐨𝐮𝐫𝐜𝐞 𝐝𝐚𝐭𝐚𝐬𝐞𝐭𝐬 and models for 𝐭𝐞𝐱𝐭-𝐭𝐨-𝐭𝐞𝐱𝐭 and 𝐭𝐞𝐱𝐭-𝐭𝐨-𝐢𝐦𝐚𝐠𝐞 generation. If you're ready to extend your horizon beyond the standard Gen AI providers, this episode is for you! 🪽 Follow Jasmin on LinkedIn: https://www.linkedin.com/in/jasmin-weimueller-bsc2018/ 🪽 Follow Kate on LinkedIn: https://www.linkedin.com/in/kate-nazarova-data-science/ 🪽 Subscribe to our official DODS page: https://www.linkedin.com/company/diaries-of-data-scientist/ Follow us on Medium👇 🖇 Jasmin’s Medium page: https://medium.com/@JasminWhy 🖇 Kate’s Medium page: https://medium.com/@Kate_in_DS Join us on other platforms: 🎧 Spotify:  https://open.spotify.com/show/1DAelRe22W8vBHK7rTU361?si=4e4f3d7bc67546cc 🎧 Apple:  https://www.google.com/url?sa=t&source=web&rct=j&opi=89978449&url=https://podcasts.apple.com/us/podcast/diaries-of-a-data-scientist/id1710961657&ved=2ahUKEwjhm8PdhMWIAxV6qZUCHYZsCDwQFnoECBsQAQ&usg=AOvVaw1deaPC2MF6aWM69-SKSRoH 🎧 Amazon: https://amzn.asia/d/7J3UkTE 🎧 Podimo: https://podimo.com/de/shows/diaries-of-a-data-scientist 🎧 Podscribe: https://app.podscribe.ai/series/2353052 Useful links & Resources: State of Open Source AI :https://github.blog/news-insights/research/the-state-of-open-source-and-ai/ LLaMA https://about.fb.com/news/2024/07/open-source-ai-is-the-path-forward/ **LAION-5B: https://huggingface.co/datasets/danielz01/laion-5b** **The Pile: https://huggingface.co/datasets/EleutherAI/pile** **C4: https://huggingface.co/datasets/legacy-datasets/c4** GPT-Neo / GPT-J: https://huggingface.co/docs/transformers/en/model_doc/gpt_neo; https://huggingface.co/docs/transformers/en/model_doc/gptj **Mixtral 8x7B: https://huggingface.co/mistralai/Mixtral-8x7B-v0.1** **BLOOM: https://bigscience.huggingface.co/blog/bloom** **T5: https://huggingface.co/docs/transformers/en/model_doc/t5** **LLaMA: https://ai.meta.com/blog/llama-3-2-connect-2024-vision-edge-mobile-devices/** Stable Diffusion: https://huggingface.co/models?other=stable-diffusion **DALL-E Mini: https://wandb.ai/dalle-mini/dalle-mini/reports/DALL-E-Mini-Explained--Vmlldzo4NjIxODA; https://github.com/borisdayma/dalle-mini** **FLUX.1: https://www.bentoml.com/blog/a-guide-to-open-source-image-generation-models**

𝐖𝐞𝐥𝐜𝐨𝐦𝐞 𝐛𝐚𝐜𝐤 𝐭𝐨 𝐭𝐡𝐞 𝐄𝐩𝐢𝐬𝐨𝐝𝐞 21! 🎙 Today, we’re doing something a little different. We thought we’d take a break from the usual deep dives into data science and just chat with you about 𝗅𝗂𝖿𝖾 𝗎𝗉𝖽𝖺𝗍𝖾𝗌, 𝗇𝖾𝗐 𝗂𝖽𝖾𝖺𝗌 we’re cooking up for the next few months, sharing 𝗌𝗈𝗆𝖾 𝖿𝗎𝗇 𝗌𝗍𝗈𝗋𝗂𝖾𝗌 𝖺𝗇𝖽 𝖼𝗈𝗆𝗉𝖺𝗋𝗂𝗌𝗈𝗇𝗌 𝖻𝖾𝗍𝗐𝖾𝖾𝗇 𝗅𝖺𝗇𝗀𝗎𝖺𝗀𝖾𝗌 𝖺𝗇𝖽 𝖼𝗎𝗅𝗍𝗎𝗋𝖾𝗌. Let us know if you enjoy this type of content! We’d be happy to sprinkle in more personal stories alongside the tech discussions. If you like our podcast, please consider leaving a review on Spotify, subscribe on Youtube and leave a comment and/or 👍! This would help us a lot ♥️ #datascience #dods #diariesofadatascientist #aicommunity

𝙸𝗇 𝖺 𝗐𝗈𝗈𝖽𝗌 𝗈𝖿 𝗍𝗁𝖾 𝖽𝖺𝗍𝖺 𝗌𝖼𝗂𝖾𝗇𝖼𝖾 𝗐𝗈𝗋𝗅𝖽, 𝗈𝗇𝖾 𝖼𝖺𝗇 𝗌𝗎𝗋𝖾𝗅𝗒 𝖿𝗂𝗇𝖽 𝗍𝗁𝖾𝗂𝗋 𝗌𝗉𝗈𝗍! 👾 Whether you're a developer or an entrepreneur, open-source communities 👥 are a game-changer. This #𝟤𝟢𝗍𝗁 𝖾𝗉𝗂𝗌𝗈𝖽𝖾 𝗈𝖿 𝖣𝖺𝗂𝗋𝗂𝖾𝗌 𝗈𝖿 𝖺 𝖣𝖺𝗍𝖺 𝖲𝖼𝗂𝖾𝗇𝗍𝗂𝗌𝗍 is 𝖸𝗈𝗎𝗋 𝖦𝗎𝗂𝖽𝖾 to not just improving your skills but also: 🆒 earning trust 🆒 credibility 🆒 and making a real impact in the tech ecosystem 🎙️ Join @Jasmin/@Kate and Kate/Jasmin as we dive deep into the advantages of contributing to open-source packages, from boosting your career to building valuable connections in both tech and business. If you like our podcast, please consider leaving a review on Spotify, subscribe on Youtube and leave a comment and/or 👍! This would help us a lot ♥️ #datascience #dods #diariesofadatascientist #aicommunity 👉 P.S. Feel free to check out Episode 15 if you're interested in learning more about interdisciplinary positions with a strong focus on open-source communities

In this episode, we dive into the most significant milestones in generative AI during 2024 and explore how these advancements are transforming industries worldwide. Whether you're a tech enthusiast, industry professional, or just curious about the future of AI, this episode provides a comprehensive overview of how generative AI is making its mark in 2024 and beyond. Some links to further check out resources: https://www.mckinsey.com/capabilities/quantumblack/our-insights/the-state-of-ai https://openai.com/index/hello-gpt-4o/ https://www.ibm.com/think/insights/artificial-intelligence-trends https://www.etoro.com/news-and-analysis/press-releases/etoros-first-ai-generated-ad-campaign-to-be-aired-during-paris-olympics/ If you like our podcast, please consider leaving a review on Spotify, subscribe on Youtube and leave a comment and/or 👍! This would help us a lot ♥️ #datascience #dods #diariesofadatascientist #aicommunity Below we attach a list of models that is helpful to catch up with the most relevant ones from 2024 so far: Llama 3.1: Meta's latest version in the Llama series, offering significant improvements in both language understanding and generation capabilities. https://llama.meta.com GPT-4o and GPT-4o mini: Enhanced versions of OpenAI's GPT series, focusing on more efficient and contextually aware text generation. Phi 3: A new model developed for complex multimodal tasks, integrating text, audio, and visual data processing. (SLM): https://azure.microsoft.com/en-us/blog/introducing-phi-3-redefining-whats-possible-with-slms/ Mistral Large 2: Known for its low latency and high performance, particularly in real-time applications (The GitHub Blog) (ThinkPalm). DeepDream: An updated version of Google's model that generates visually striking and abstract images using deep neural networks (ThinkPalm). GitHub Copilot: A collaborative tool that assists developers by providing context-aware code completions, now enhanced with broader language support and improved interactive documentation suggestions (ThinkPalm) (The GitHub Blog). Microsoft 365 CoPilot, Studio Complexity of Generative AI Adoption in Corporate Recent Generative AI Models Developed (January 2024 - July 2024)

“𝗜 𝗔𝗺 𝗡𝗼𝘁 𝗚𝗼𝗼𝗱 𝗘𝗻𝗼𝘂𝗴𝗵” …  You’re not alone. 𝘐𝘮𝘱𝘰𝘴𝘵𝘦𝘳 𝘴𝘺𝘯𝘥𝘳𝘰𝘮𝘦 is a silent struggle for many, especially in the fast-paced 𝘵𝘦𝘤𝘩 𝘸𝘰𝘳𝘭𝘥. In our 18th episode "𝗜𝗺𝗽𝗼𝘀𝘁𝗲𝗿 𝗦𝘆𝗻𝗱𝗿𝗼𝗺𝗲 𝗶𝗻 𝗧𝗲𝗰𝗵”, we dive deep into this phenomenon, sharing insights, our stories and strategies to overcome it (based on our experience). If you like our podcast, please consider leaving a review on Spotify, subscribe on Youtube and leave a comment and/or 👍! This would help us a lot ♥️ #datascience #dods #diariesofadatascientist #aicommunity

Tune in for our 17th Episode of “Diaries of a Data Scientist”, a bonus episode, where we share our honest summary on our talk at the Frankfurt Tech Show, 23rd of May. We were representing BASF at the Big Data & AI World Show. If you like our podcast, please consider leaving a review on Spotify, subscribe on Youtube and leave a comment and/or 👍! This would help us a lot ♥️ #datascience #dods #diariesofadatascientist #aicommunity

Did you know? n the past year, 76% of graduating North American PhDs in AI went into industry — up from 44.4% in 2010. This shift highlights the increasingly significant role industry is playing in AI development. By 2023, industry produced 51 notable machine learning models, while academia contributed only 15. 🤯 (Statistics from the AI Index Report, 2024, Stanford) In this episode, we explore💡: 1️⃣ The Importance of Collaboration: Discover why it's crucial for data scientists in corporate roles to collaborate with universities and the immense benefits these partnerships can bring. 2️⃣ How to Start Collaborations: We share practical ways and channels to initiate and foster collaborations between industry and academia. 3️⃣ The Downsides: We don't shy away from discussing the challenges and downsides of balancing research and corporate responsibilities as a data scientist. If you like our podcast, please consider leaving a review on Spotify, subscribe on Youtube and leave a comment and/or 👍! This would help us a lot ♥️ #datascience #dods #diariesofadatascientist #aicommunity 🖇️ Useful links (unpaid advertisement, personal recommendations):: AI Index Report by Stanford, 2024: https://aiindex.stanford.edu/wp-content/uploads/2024/05/HAI_AI-Index-Report-2024.pdf

In episode #15 of Diaries of a Data Scientist (DODS) we explore the role of being a “Developer Advocate” ▪️ Explore why companies are clamouring for Developer Advocate and why developers are equally interested, despite it seemingly being an unpaid gig (or is it really - find out in the episode?). 🤔 ▪️ Learn about the profile of a Developer Advocate (in case you want to go this path), their key responsibilities, and the essential skills they bring to the table. 💼 ▪️ Discover the kind of individuals who thrive in this role and why they're crucial assets in bridging the gap between developers and companies. 🌐 ▪️ Plus, explore how this position is gaining popularity worldwide and uncover the salary ranges across different countries! 💰 If you like our podcast, please consider leaving a review on Spotify, subscribe on Youtube and leave a comment and/or 👍! This would help us a lot ♥️ 🖇️ Useful links (unpaid advertisement, personal recommendations): Megan Lieu https://www.linkedin.com/in/meganlieu/ Tiffany Janzen https://www.linkedin.com/in/tiffany-janzen/ Developer relations: https://en.wikipedia.org/wiki/Developer_relations#:~:text=Developer relations%2C abbreviated as DevRel,on purchases%2C of a product What is developer relations: https://www.techielass.com/what-is-devrel/ Another interesting podcast episode on this topic: https://www.youtube.com/watch?v=DzeD1AshXrQ, @Prismic How to get into the role: https://www.linkedin.com/pulse/what-heck-developer-advocate-how-become-one-hushen-savani/ Salary ranges: https://www.glassdoor.de/Salaries/berlin-developer-advocate-salary-SRCH_IL.0,6_IM1020_KO7,25.htm?countryRedirect=true (2024) https://www.joberty.com/blog/developer-advocate-salary/#:~:text=A developer advocate in Germany,about €6%2C500 per month. (2023) https://beincrypto.com/jobs/salary/developer-advocate+germany/ (2024) Search tip To check current positions in the market, please type 'Developer Advocate' into the LinkedIn search bar

Dive with us into the world of data science with our latest episode, "𝐃𝐚𝐭𝐚 𝐒𝐜𝐢𝐞𝐧𝐜𝐞 𝐃𝐞𝐦𝐲𝐬𝐭𝐢𝐟𝐢𝐞𝐝: 5 𝐐𝐮𝐞𝐬𝐭𝐢𝐨𝐧𝐬 𝐄𝐯𝐞𝐫𝐲 𝐌𝐞𝐧𝐭𝐨𝐫 𝐈𝐬 𝐀𝐬𝐤𝐞𝐝.” In this episode, we address burning questions and provide invaluable insights to fuel your data science journey. Have you ever wondered? 🤔 I have a bachelor’s degree in law, art & etc. How can I start my data science learning journey? What is my road map? Is it enough just having a data science bootcamp course to get into the data science field? Do I need a higher degree? How important are soft skills? Why is building a network important in tech? How do data scientists work? Are they looking for projects in a company and automating them, or do they know all databases? What are the development and career options once I enter the Data Science Path? If you like our podcast, please consider leaving a review on Spotify, subscribe on Youtube and leave a comment and/or 👍! This would help us a lot ♥️