What’s up everyone, today we have the pleasure of sitting down with the acclaimed Britney Muller, Founder and Consultant at Data Sci 101 and former Senior SEO Scientist at Moz. Summary: Britney takes us on a wild ride through the intersection of marketing and AI, emphasizing the importance of adaptability, continuous learning, and ethical considerations. Britney's journey from SEO to AI illustrates the need for data literacy and strategic decision-making in marketing. She delves into the ethical nuances of AI, discussing the limitations of LLMs and the importance of transparency and responsible development. Highlighting the human element in AI, Britney advocates for balancing technological advancements with human creativity and intuition, and underscores the transformative potential of AI across various sectors. This episode is a compelling call to action for professionals to harmoniously blend technical expertise with ethical mindfulness in the rapidly evolving martech landscape. About Britney Britney started her career when she moved to Breckenridge Colorado chasing fresh snow and snowboard hills. She connected with a local realtor who introduced her to SEO and after discovering search data, she never looked backShe spent 7 months preparing to rank her personal site for the term “Burton US Open” and ended up ranking ahead of Burton.com and received a call from their marketing team who invited her to dinner This spurred her to start her own agency which she ran for several successful years but after being on the cutting edge of SEO and doing the speaking circuit at conferences around the world, Britney started getting hungry for a new challenge: enter Machine LearningShe stumbled upon Harvard’s Data Science 109 course after searching Github repos and dived super deep into this new field She was eventually poached by Moz where she spent 4 years as Senior SEO Scientist where she re-wrote the Beginner's Guide to SEO amongst a bunch of other content and continued her SEO researchShe later joined Hugging Face, the fastest-growing Machine Learning community & open-source ML platformToday Britney has returned to her entrepreneurial roots as a Machine Learning & SEO consultant and the Founder of Data Sci 101 with the goal of making LLMs like ChatGPT as accessible as possibleEmbracing Machine Learning: A Journey from SEO to AIBritney's journey from SEO expertise to machine learning is a testament to the power of curiosity and continuous learning. Nearly a decade ago, while most in the martech field were focused solely on traditional methods, Britney's unique passion for learning and experimentation led her to explore machine learning. This shift was fueled by her desire for a new challenge, as she felt she had reached the zenith of her SEO experiments. The pivotal moment came when she took the Harvard CS 109 course on machine learning. This experience opened her eyes to the transformative potential of feeding data to models and letting them learn patterns independently. The tangible results and potential applications she witnessed were not just intellectually stimulating but also professionally inspiring. As machine learning evolved, so did Britney's skills. She recalls the early days of TensorFlow, where complex lines of code were required for basic functions, which have now been simplified drastically. Britney's approach to machine learning is unique. She enjoys taking existing models and reengineering them for different applications, a process she describes as akin to being a 'Frankenstein developer.' This creative tinkering led to practical applications and fun experiments, like her first MNIST model, which could recognize handwritten numbers with high accuracy. Her pride in this achievement underscores her deep connection to her work and the joy it brings her. Key takeaway: Britney's transition from SEO to machine learning highlights the importance of pursuing passions and continuous learning in professional develop