
Summary
Marketers are increasingly vocal about the inefficiencies in their advertising spend, coining the term "bull spend" to describe investments that look good on paper but fail to deliver real results. This sentiment is echoed in discussions about the importance of aligning marketing strategies with measurable outcomes, particularly in the wake of scrutiny from financial officers.
In a recent conversation, industry experts highlighted the growing significance of data engineering in supporting data scientists and analysts. They emphasized that understanding the fundamentals of data management is crucial for professionals looking to thrive in today's data-driven landscape. The discussion also touched on the impact of artificial intelligence on the job market, with many companies feeling pressure to adopt AI technologies to remain competitive.
The conversation also explored the challenges faced by newcomers in the tech field, particularly those without formal coding experience. Experts encouraged aspiring professionals to focus on mastering foundational skills and to leverage resources like online courses to build their knowledge. They underscored the importance of practical experience, suggesting that hands-on projects can significantly enhance learning and career prospects.
Overall, the dialogue reflects a broader trend in the marketing and tech industries, where data literacy and strategic thinking are becoming essential for success. As companies navigate the complexities of AI and data management, the call for skilled professionals who can bridge the gap between technology and business needs continues to grow.
Show Notes
🐙 Lunch & Learn: Data Engineering + Lonely Octopus Q&A - Apps are now open!
A 1 hour lunch & learn Q&A w/ best selling DE author of Fundamentals of Data Engineering & renowned speaker! Lonely Octopus Q&A - applications close Oct. 7th 2023 at 11:59 pm PSTJoe's LinkedIn: https://www.linkedin.com/in/josephreis/🤖 Sign up here to get accompanying workbooks, summaries, and notifs for future lunch & learns: https://www.lonelyoctopus.com/email-signup✉️ NEWSLETTER: https://tinahuang.substack.com/ It's about learning, coding, and generally how to get your sh*t together c: 🐙 Lonely Octopus: https://www.lonelyoctopus.com/Check it out if you're interested in learning AI & data skill, then applying them to real freelance projects! 🔗Affiliates========================My SQL for data science interviews course (10 full interviews):https://365datascience.com/learn-sql-for-data-science-interviews/ https://365datascience.pxf.io/WD0za3 (link for 57% discount for their complete data science training)Check out StrataScratch for data science interview prep: https://stratascratch.com/?via=tina🎥 My filming setup ========================📷 camera: https://amzn.to/3LHbi7N🎤 mic: https://amzn.to/3LqoFJb🔭 tripod: https://amzn.to/3DkjGHe💡 lights: https://amzn.to/3LmOhqk📲Socials ========================instagram: https://www.instagram.com/hellotinah/linkedin: https://www.linkedin.com/in/tinaw-h/ discord: https://discord.gg/5mMAtprshX🤯Study with Tina ========================Study with Tina channel:https://www.youtube.com/channel/UCI8JpGrDmtggrryhml8kFGwHow to make a studying scoreboard: https://www.youtube.com/watch?v=KAVw910mIrIScoreboard website: scoreboardswithtina.comlivestreaming google calendar:https://bit.ly/3wvPzHB🎥Other videos you might be interested in========================How I consistently study with a full time job:https://www.youtube.com/watch?v=INymz5VwLmkHow I would learn to code (if I could start over): https://www.youtube.com/watch?v=MHPGeQD8TvI&t=84s🐈⬛🐈⬛About me ========================Hi, my name is Tina and I'm an ex-Meta data scientist turned internet person! 📧Contact========================youtube: youtube comments are by far the best way to get a response from me! linkedin: https://www.linkedin.com/in/tinaw-h/ email for business inquiries only: [email protected] ========================Some links are affiliate links and I may receive a small portion of sales price at no cost to you. I really appreciate your support in helping improve this channel! :)
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Watch This If You Need AI Use Cases Inspo Tina is a former data scientist at Meta. Her channel focuses on AI, coding, tech, career development, and self-study. Always striving to minimize effort while maximizing outcomes. In fact, she firmly avoids doing extra work to reach her goals - one of the many reasons she loves AI. Follow this podcast to get Tina Huang’s insights in audio format, perfect for learning on the go. Tina Huang on YouTube: https://www.youtube.com/@TinaHuang1 Disclaimer: This podcast is an independent audio adaptation of content originally created by Tina Huang. It was made by a viewer who values her insights and aims to make them more accessible for audio-first learners. This is not an official production of Tina Huang, and it is not affiliated with or endorsed by her. All rights to the original video content remain with Tina Huang. If you represent Tina and would like to discuss this project, please don’t hesitate to get in touch. -------
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