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

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🎧 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! 🎙

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