Heather Long, Chief Economist at Navy Federal Credit Union, joins the Inside Economics team to discuss what she dubbed the K-Shaped Economy. She describes the reasons why the well-to-do are thriving and the bottom 80% of the income distribution is struggling to make ends meet. The team discusses the origins of this skewing in the income distribution and why we should care about it.  Explore the risks and realities shaping the economy in our new webinar, now streaming for free. U.S. Economic Outlook: Under Unprecedented Uncertainty Watch here: https://events.moodys.com/mc68453-wbn-2025-mau25777-us-macro-outlook-precipice-recession?mkt_tok=OT… Hosts: Mark Zandi – Chief Economist, Moody’s Analytics, Cris deRitis – Deputy Chief Economist, Moody’s Analytics, and Marisa DiNatale – Senior Director - Head of Global Forecasting, Moody’s Analytics Follow Mark Zandi on 'X' and BlueSky @MarkZandi, Cris deRitis on LinkedIn, and Marisa DiNatale on LinkedIn

Questions or Comments, please email us at [email protected]. We would love to hear from you.    To stay informed and follow the insights of Moody's Analytics economists, visit Economic View.

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The relationship between AI assistants and data professionals is evolving rapidly, creating both opportunities and challenges. These tools can supercharge workflows by generating SQL, assisting with exploratory analysis, and connecting directly to databases—but they're far from perfect. How do you maintain the right balance between leveraging AI capabilities and preserving your fundamental skills? As data teams face mounting pressure to deliver AI-ready data and demonstrate business value, what strategies can ensure your work remains trustworthy? With issues ranging from biased algorithms to poor data quality potentially leading to serious risks, how can organizations implement responsible AI practices while still capitalizing on the positive applications of this technology? Christina Stathopoulos is an international data specialist who regularly serves as an executive advisor, consultant, educator, and public speaker. With expertise in analytics, data strategy, and data visualization, she has built a distinguished career in technology, including roles at Fortune 500 companies. Most recently, she spent over five years at Google and Waze, leading data strategy and driving cross-team projects. Her professional journey has spanned both the United States and Spain, where she has combined her passion for data, technology, and education to make data more accessible and impactful for all. Christina also plays a unique role as a “data translator,” helping to bridge the gap between business and technical teams to unlock the full value of data assets. She is the founder of Dare to Data, a consultancy created to formalize and structure her work with some of the world’s leading companies, supporting and empowering them in their data and AI journeys. Current and past clients include IBM, PepsiCo, PUMA, Shell, Whirlpool, Nitto, and Amazon Web Services.

In the episode, Richie and Christina explore the role of AI agents in data analysis, the evolving workflow with AI assistance, the importance of maintaining foundational skills, the integration of AI in data strategy, the significance of trustworthy AI, and much more.

Links Mentioned in the Show: Dare to DataJulius AIConnect with ChristinaCourse - Introduction to SQL with AIRelated Episode: The Data to AI Journey with Gerrit Kazmaier, VP & GM of Data Analytics at Google CloudRewatch RADAR AI 

New to DataCamp? Learn on the go using the DataCamp mobile app Empower your business with world-class data and AI skills with DataCamp for business

In this episode of Data Career School, I share actionable strategies to help you grow faster, get promotions, and step into leadership roles in your Data and Analytics career. Learn how to build the right skills, excel in your projects, and stand out in your company. Whether you’re a fresher or an early-career professional, these tips will help you climb the corporate ladder, boost your career growth, and become a top-performing data professional.

Too many dashboards. Endless ad-hoc questions. Analytics teams often get trapped supporting the business, without driving it forward. In this show, Ollie Hughes, CEO of Count, will show you how to break free. Based on real-world case studies and hard-won experience, Ollie will walk us through: The common traps analytics teams fall into — and why good intentions often lead to low impact  How to shift from "answering questions" to "solving business problems" Why operational clarity, not just better data, is the key to better outcomes. Real use cases and strategies for building high-leverage analytics inside your organization. If you're ready to move beyond dashboards and truly drive business success, this is the show you can't afford to miss. 🤝 Follow Ollie 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

What if the future of leadership wasn't explained by another CEO, but by an AI? In this special episode of Hub & Spoken, hosted by Jason Foster, CEO & Founder of Cynozure, the guest isn't a data or business leader. It's ChatGPT. Together, they explore one of the most pressing questions for organisations today: What does leadership mean in the age of artificial intelligence?  The discussion contrasts the logical view of leadership, vision, decision-making and orchestration, with the uniquely human qualities that machines can't replicate: courage under pressure, conviction, vulnerability, and trust.  The result is a fascinating tension. AI can support with logic, speed, and analysis. But leadership is still defined by what makes us human. 🎧 Tune in for this experiment in leadership dialogue. ****    Cynozure is a leading data, analytics and AI company that helps organisations to reach their data potential. It works with clients on data and AI strategy, data management, data architecture and engineering, analytics and AI, data culture and literacy, and data leadership. The company was named one of The Sunday Times' fastest-growing private companies in both 2022 and 2023 and recognised as The Best Place to Work in Data by DataIQ in 2023 and 2024. Cynozure is a certified B Corporation. 

Discussion of Zilch's data stack and analytics challenges as the company scales.

The Inside Economics team gets together in person at All Hands Day. It is a short podcast, with more than the typical amount of chit-chat (as we are in person). But it is an action-packed conversation on the Fed’s rate decision (see if we got it right), our proposal to unlock the housing market, and, of course, the statistics game! Explore the risks and realities shaping the economy in our new webinar, now streaming for free: U.S. Economic Outlook: Under Unprecedented Uncertainty Watch here: https://events.moodys.com/mc68453-wbn-2025-mau25777-us-macro-outlook-precipice-recession?mkt_tok=OT… Hosts: Mark Zandi – Chief Economist, Moody’s Analytics, Cris deRitis – Deputy Chief Economist, Moody’s Analytics, and Marisa DiNatale – Senior Director - Head of Global Forecasting, Moody’s Analytics Follow Mark Zandi on 'X' and BlueSky @MarkZandi, Cris deRitis on LinkedIn, and Marisa DiNatale on LinkedIn Questions or Comments, please email us at [email protected]. We would love to hear from you. 

Questions or Comments, please email us at [email protected]. We would love to hear from you.    To stay informed and follow the insights of Moody's Analytics economists, visit Economic View.

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This session unveils the agentic architecture powering Snap Analytics’ AI chatbot, designed to support data-driven teams with decision-making and contextual intelligence. Learn how modular agents collaborate across data pipelines, analytics platforms, and user interfaces to deliver timely insights and adapt to evolving business needs.

I asked my followers what data product I should build next, and they voted: a Pokémon card analytics tool. So, I rolled up my sleeves and built a market analytics platform using Replit and its vibe-coding agent to get from idea to deployable MVP in a few hours! Today's video guides you through the process step by step, so you can build something similar—even if you have 0 technical background. ✨ Try vibe-coding yourself with Replit!!! https://replit.com/refer/AveryData p.s. this is an affiliate link, so I will earn credits if you end up using Replit - but I truly love this tool!

Check out my Pokémon card analytics app here and let me know what you think! 👉 PokemonCardAnalytics.com 💌 Join 10k+ aspiring data analysts & get my tips in your inbox weekly 👉 https://www.datacareerjumpstart.com/newsletter 🆘 Feeling stuck in your data journey? Come to my next free "How to Land Your First Data Job" training 👉 https://www.datacareerjumpstart.com/training 👩‍💻 Want to land a data job in less than 90 days? 👉 https://www.datacareerjumpstart.com/daa 👔 Ace The Interview with Confidence 👉 https://www.datacareerjumpstart.com/interviewsimulator ⌚ TIMESTAMPS 00:00 Introduction 00:36 Building the Pokémon Card Analytics Platform 01:15 Exploring Replit's Capabilities and Creating the App's Core Features 06:47 Integrating Real Data 12:01 Finalizing and Deploying the App 15:18 PokemonCardAnalytics.com and Future Plans

🔗 CONNECT WITH AVERY 🎥 YouTube Channel: https://www.youtube.com/@averysmith 🤝 LinkedIn: https://www.linkedin.com/in/averyjsmith/ 📸 Instagram: https://instagram.com/datacareerjumpstart 🎵 TikTok: https://www.tiktok.com/@verydata 💻 Website: https://www.datacareerjumpstart.com/ Mentioned in this episode: Join the last cohort of 2025! The LAST cohort of The Data Analytics Accelerator for 2025 kicks off on Monday, December 8th and enrollment is officially open!

To celebrate the end of the year, we’re running a special End-of-Year Sale, where you’ll get: ✅ A discount on your enrollment 🎁 6 bonus gifts, including job listings, interview prep, AI tools + more

If your goal is to land a data job in 2026, this is your chance to get ahead of the competition and start strong.

👉 Join the December Cohort & Claim Your Bonuses: https://DataCareerJumpstart.com/daa https://www.datacareerjumpstart.com/daa

Talk by Klára Horáková Chvalová, Analytics Engineer at golemio.cz.

If you didn't have a visceral reaction to the title for this episode, then you are almost certainly not in our target audience. There are few more certain ways to get a room full of analytics folk fired up than to raise the topic of dashboards. Are they where data goes to die, or are they the essential key to unlocking self-service access to actionable insights? Are they both? Is the question irrelevant, because, if they exist to inform business users, aren't they soon going to be replaced by an AI-powered chatbot, anyway? We thought a great way to dig into the topic (and, BTW, we were right) would be to have someone on the show who has co-penned multiple books on the topic. As luck would have it, Andy Cotgreave, one of the co-authors of both 2017's The Big Book of Dashboards: Visualizing Your Data Using Real-World Business Scenarios and the imminently releasing  Dashboards That Deliver: How to Design, Develop, and Deploy Dashboards That Work agreed to join us for a lively chat on the topic! This episode's Measurement Bite from show sponsor Recast is a quick explanation of power analysis from Michael Kaminsky! For complete show notes, including links to items mentioned in this episode and a transcript of the show, visit the show page.

Financial institutions are racing to harness the power of AI, but the path to implementation is filled with challenges. From feature engineering to model deployment, the technical complexities of AI adoption in finance require careful navigation of both technological and regulatory landscapes. How do you build AI systems that satisfy strict compliance requirements while still delivering business value? What skills should teams prioritize as AI tools become more accessible through natural language interfaces? With the pressure to reduce model development time from months to days, how can organizations maintain proper governance while still moving at the speed modern business demands? Vijay is a seasoned analytics, product, and technology executive. As EVP of Global Solutions & Analytics at Experian, he runs the department that creates Experian's Ascend financial AI platform. Promoted multiple times in eight years, Vijay now leads a team of more than 70 at Experian. He is one of the youngest execs at Experian, believing strongly in understanding and accepting risk. He has built and run data, engineering, and IT teams, and created market-leading products. In the episode, Richie and Vijay explore the impact of generative AI on the finance industry, the development of Experian's Ascend platform, the challenges of fraud prevention, education and compliance in AI deployment, and much more. Links Mentioned in the Show: ExperianExperian AscendConnect with VijayCourse: Implementing AI Solutions in BusinessRelated Episode: How Generative AI is Transforming Finance with Andrew Reiskind, CDO at MastercardRewatch RADAR AI 

New to DataCamp? Learn on the go using the DataCamp mobile app Empower your business with world-class data and AI skills with DataCamp for business

Mark and Cris are joined by Matt Colyar to break down the latest CPI inflation report, while Jared Franz from the Capital Group explores how artificial intelligence is reshaping the American economy and labor market. We examine the opportunities and challenges of the AI revolution and what it means for workers, businesses, and investors in this rapidly changing economic landscape. Jared Franz is an economist at Capital Group, responsible for covering the United States. He has 19 years of investment industry experience and has been with Capital Group for 10 years. Prior to joining Capital, Jared was head of international macroeconomic research at Hartford Investment Management Company. Before that, he was an international and U.S. economist at T. Rowe Price. He holds a PhD in economics from the University of Illinois at Chicago, a bachelor’s degree in mathematics from Northwestern University and attended the U.S. Naval Academy. He is also a member of the Forecasters Club of New York, an elected member of the Conference of Business Economists and a member of the Pacific Council. Jared is based in Los Angeles. Explore more insights from Capital Group’s Jared Franz in the articles below: 4 charts on why the U.S. economy could stay resilient | Capital Group Benjamin Button’s clues for the US economy   Explore the risks and realities shaping the economy in our new webinar, now streaming for free. U.S. Economic Outlook: Under Unprecedented Uncertainty Watch here: https://events.moodys.com/mc68453-wbn-2025-mau25777-us-macro-outlook-precipice-recession?mkt_tok=OT… Hosts: Mark Zandi – Chief Economist, Moody’s Analytics, Cris deRitis – Deputy Chief Economist, Moody’s Analytics, and Marisa DiNatale – Senior Director - Head of Global Forecasting, Moody’s Analytics Follow Mark Zandi on 'X' and BlueSky @MarkZandi, Cris deRitis on LinkedIn, and Marisa DiNatale on LinkedIn

Questions or Comments, please email us at [email protected]. We would love to hear from you.    To stay informed and follow the insights of Moody's Analytics economists, visit Economic View.

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Discussion sur les fondamentaux du Growth Marketing et son importance dans les métiers de demain.

Aperçu du curriculum couvrant les publicités en ligne, analytics, IA générative et outils no‑code.

In this episode, we're joined by Maven's own Chris Bruehl to unpack the 2025 data science landscape and explore what it really takes to break into the field today. If you're curious about what data scientists actually do — and how to become one — you won't want to miss this! What You'll Learn: How the data scientist role compares to other data careers The essential skills you need to land a data science job in 2025 Smart strategies to position yourself before applying   🤝 Follow Chris 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

CANCELLED The often overlooked, but crucial skill for success in analytics engineering is data analysis. But many analytics engineers only touch the surface. I will share with you six effective habits for improving your data analysis skills that you can apply in your daily work. With many examples from practice in technical data analysis using SQL.