In this episode, we're joined by Terry Dorsey, Senior Data Architect & Evangelist at Denodo, to unpack the conceptual differences between terms like data fabrics, vector databases, and knowledge graphs, and remind you not to forget about the importance of structured data in this new AI-native world! What You'll Learn: The difference between data fabrics, vector databases, and knowledge graphs — and the pros and cons Why organizing and managing data is still the hardest part of any AI project (and how process design plays a critical role) Why structured data and schemas are still crucial in the age of LLMs and embeddings   How knowledge graphs help model context, relationships, and "episodic memory" more completely than other approaches   If you've ever wondered about different data and AI terms, here's a great glossary to check out from Denodo: https://www.denodo.com/en/glossary 🤝 Follow Terry on LinkedIn!   Register for free to be part of the next live session: https://bit.ly/3XB3A8b   Follow us on Socials: LinkedIn YouTube Instagram (Mavens of Data) Instagram (Maven Analytics) TikTok Facebook Medium X/Twitter

LLMs seem like a hot solution now, until you try deploying one. In this episode, Andriy Burkov, machine learning expert and author of The Hundred-Page Machine Learning Book, joins us for a grounded, sometimes blunt conversation about why many LLM applications fail. We talk about sentiment analysis, difficulty with taxonomy, agents getting tripped up on formatting, and why MCP might not solve your problems. If you're tired of the hype and want to understand the real state of applied LLMs, this episode delivers. What You'll Learn: What is often misunderstood about LLMs The reliability of sentiment analysis How can we make agents more resilient?   📚 Check out Andriy's books on machine learning and LLMs: The Hundred-Page Machine Learning Book The Hundred-Page Language Models Book: hands-on with Pytorch  🤝 Follow Andriy on LinkedIn!   Register for free to be part of the next live session: https://bit.ly/3XB3A8b   Follow us on Socials: LinkedIn YouTube Instagram (Mavens of Data) Instagram (Maven Analytics) TikTok Facebook Medium X/Twitter

Agentic AI is here, but what is it? What are the differences between the traditional LLMs and this new agentic AI we're hearing about? With AI systems making autonomous decisions, driving analytics, and reshaping data strategies, what does this mean for analysts? We're joined by Vin Vashishta, CEO at V Squared and an expert in AI strategy and data science. Vin's book, From Data to Profit, lays out a roadmap for turning AI and analytics into real business value.  AI isn't just a tool anymore; it's becoming a collaborator. How should we think about adapting? Don't miss his insights in this show! What You'll Learn: How Agentic AI will redefine the role of analysts in analytics. What makes an AI 'agent' different from a traditional LLM? Why knowledge graphs are the key to AI's next leap forward. How to future-proof your career in analytics.   Register for free to be part of the next live session: https://bit.ly/3XB3A8b   Follow us on Socials: LinkedIn YouTube Instagram (Mavens of Data) Instagram (Maven Analytics) TikTok Facebook Medium X/Twitter

Are you ready to level up your analytics game and tackle the challenges that come with data-heavy projects? In this episode, Harpreet Sahota, a data science leader with years of experience helping analysts and teams thrive, shares actionable insights and strategies for staying ahead in the fast-evolving world of data. Harpreet will help you develop a practical mindset to tackle real-world challenges and build the confidence to lead impactful projects. From cleaning messy datasets, to deciding between building or buying a solution, to training a computer vision model, Harpreet is here to share his expertise. Whether you're an aspiring data analyst or a seasoned professional, this episode will equip you with the skills and clarity to succeed. What You'll Learn: Data Cleaning for Any Data Type: Proven techniques to clean and prepare your data for analysis. Training a Computer Vision Model: What to consider before you start and how to ensure success. Build vs. Buy for LLMs: When to create your own solution and when to leverage existing tools. Setting Yourself Up for Success as an Analyst: Strategies to stand out and make your work impactful.   Register for free to be part of the next live session: https://bit.ly/3XB3A8b   Interested in learning more from Harpreet? Connect with him on LinkedIn   Follow us on Socials: LinkedIn YouTube Instagram (Mavens of Data) Instagram (Maven Analytics) TikTok Facebook Medium X/Twitter

Artificial Intelligence is transforming the world of analytics, but how much of the job is changing? In this episode, we explore the AI-powered future of analytics: real-time insights, smarter Business Intelligence (BI) tools, and how Excel is turning heads with ChatGPT integration. Will AI replace analysts or supercharge what they already do best? Ravit Jain, Founder of the Ravit Show, will dive into what's staying the same, what's evolving, and what you need to know to keep up. Discover how AI is revolutionizing analytics, from real-time insights to the future of BI tools and Excel's new ChatGPT capabilities. Stay ahead of the curve— uncover how you can thrive in the AI-powered future of analytics! What You'll Learn: How AI-powered Excel is simplifying data wrangling and reporting. What parts of an analyst's role are evolving, and what core skills will always matter. How you can future-proof your analytics career in an AI-driven world.   Register for free to be part of the next live session: https://bit.ly/3XB3A8b   Interested in learning more from Ravit? Check out The Ravit Show!    Follow us on Socials: LinkedIn YouTube Instagram (Mavens of Data) Instagram (Maven Analytics) TikTok Facebook Medium X/Twitter

Today's analytics and data science job market seems to be as competitive as it's ever been. So it's more important than ever to know what employers are looking for and have a solid plan of attack in your job search. In this episode, Luke Barousse and Kelly Adams will walk us through their insights from the job market, talk about exactly what employers are looking for, and lay out an actionable plan for you to start building skills that will help you in your career. You'll leave this show with a deeper understanding of the job market, and a concrete roadmap you can use to take your data skills and career to the next level.   What You'll Learn: Insights from a deep analysis of the data science and analytics job market The skills employers are looking for, and why they matter A roadmap for building key data science and data analytics skills   Register for free to be part of the next live session: https://bit.ly/3XB3A8b   About our guests: Luke Barousse is a data analyst, YouTuber, and engineer who helps data nerds be more productive. Follow Luke on LinkedIn Subscribe to Luke's YouTube Channel Luke's Python, SQL, and ChatGPT Courses

Kelly Adams is a data analyst, course creator, and writer. Kelly's Website Follow Kelly on LinkedIn Datanerd.Tech   Follow us on Socials: LinkedIn YouTube Instagram (Mavens of Data) Instagram (Maven Analytics) TikTok Facebook Medium X/Twitter