Diaries of a Data Scientist Jasmin and Kate

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


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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


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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 ♥️


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In today’s episode we answer the question of "How do you know what is real and what is fake anymore in the age of AI?"

In this episode, we're diving deep into four crucial chapters of this topic:


Exploring recent examples of AI content (text and image) generation in academia and private life.
Diving into techie terms to uncover current solutions for detecting AI-generated text, images, and videos (hello, deepfakes!).
Discussing the impactful consequences on our society that we're currently observing.

And in the fourth and most practical chapter, we'll be sharing our research and practical findings on how to detect an AI-generated image or text. 🛡️

Don't miss out on this eye-opening conversation! Tune in now! (For our fellow nerds 🤓 we prepared a list of resources below ;-) )

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 ♥️

References used in crafting this episode (unpaid advertisement, personal recommendations):

▪️AI-Generated images:: https://lnkd.in/eiiG2tAE (article: https://lnkd.in/eVgdqU6e) ▪️AI-Generated Text: https://lnkd.in/eqmi4K83 / (article: https://lnkd.in/ef_CsXhT)

▪️Papers on Elsevier (To date, the article remains unchanged, and unrestricted):


https://scholarlykitchen.sspnet.org/2024/03/20/the-latest-crisis-is-the-research-literature-overrun-with-chatgpt-and-llm-generated-articles/
https://www.sciencedirect.com/science/article/pii/S1930043324001298

▪️AI Avatar as influencers on TikTok and instagram: https://www.instagram.com/yoursisbillie/?hl=en

▪️"Synthetic Lies: Understanding AI-Generated Misinformation and Evaluating Algorithmic and Human Solutions”: https://dl.acm.org/doi/fullHtml/10.1145/3544548.3581318

▪️Sora GenAI: https://www.crn.com/news/security/2024/openai-we-ll-help-you-detect-videos-made-with-sora-genai-tool

▪️Deepfake Detection: "A fast and Scalable Solution using Machine Learning": https://medium.com/geekculture/deepfake-detection-a-fast-and-scalable-solution-using-machine-learning-618e79fcb07f

EUROPEAN DATA PROTECTION SUPERVISOR: https://www.edps.europa.eu/data-protection/technology-monitoring/techsonar/deepfake-detection_en

▪️C2PA:  OpenAI: https://openai.com/sora#safety OpenAI: https://help.openai.com/en/articles/8912793-c2pa-in-dall-e-3


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This time we discuss the topic of “𝐌𝐮𝐬𝐭-𝐇𝐚𝐯𝐞: 𝐀𝐧𝐚𝐥𝐲𝐭𝐢𝐜𝐬 & 𝐀𝐈 𝐂𝐨𝐦𝐦𝐮𝐧𝐢𝐭𝐢𝐞𝐬 𝐢𝐧 𝐄𝐧𝐭𝐞𝐫𝐩𝐫𝐢𝐬𝐞𝐬”. Trust us, there's a lot to uncover! In this episode, we explore how fostering Analytics and AI communities can benefit both companies and employees.

Mutual benefits for enterprises and data professionals alike:

🌎 Networking opportunities 🤝 Project collaborations that foster innovation, growth & transparency 📚 Peer learning for lonely wolves 🤗 Support from people alike 👥 Non-formal meetups where problem-solving becomes a collective endeavor

P.S. Jasmin will be delivering a talk on the significance of Analytics and AI communities in enterprises in Stuttgart on April 25th. Don't miss out! Register for the event here: https://www.biordie.com

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 ♥️


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Episode 11 of "Diaries of a Data Scientist" - 𝐖𝐨𝐦𝐞𝐧 𝐢𝐧 Data Science & 𝐀𝐈: 𝐜𝐮𝐫𝐫𝐞𝐧𝐭 𝐭𝐫𝐞𝐧𝐝𝐬, statistics, networks and opportunities.

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 ♥️

Here's a sneak peek at what's in store (unpaid advertisement, personal recommendations):


Statistics:

Computer Science & ICT Students Germany 2022-2023, accessed via: https://franziska-hauck.medium.com/it-insights-computer-science-ict-students-in-germany-2023-addf2d08f525

Study & Good Practice Guide - Women in Tech: https://international.eco.de/women-in-tech-a-good-practice-guide-for-companies/#

50% of women in tech roles leave them by the age of 35. Study by Girls Who Code and Accenture: https://www.accenture.com/us-en/about/corporate-citizenship/tech-culture-reset, read also here.


Communities:
Conferences 2024: (please, check our previous episodes for links)
Mentorship
Follow corporate/social influencers like @Franziska Hauck, @Tim Verhoeven, @Anemari Fiser


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