Justin Begley and Brendan LaCerda join Inside Economics to discuss the federal government shutdown and its macroeconomic consequences. First, the crew discusses how the shutdown is preventing the release of federal economic statistics, and Justin runs through a bunch of private data sources that can be used to gauge the health of the labor market in the absence of the BLS reports. The conversation then turns to the shutdown itself. Brendan and Justin opine on when and how the stalemate might end and the macro consequences of an extended shutdown. Finally, the team breaks tradition with the stats game.     Guest: Justin Begley, Economist, Moody's analytics and Brendan LaCerda, director Economic Research, Moody's Analytics 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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If you're thinking about Data Analyst or Data Scientist career paths, then this one is for you! In this episode with Data Career Jumpstart Founder Avery Smith, you'll learn about the differences between Analyst and Data Scientist career paths, and hear some practical advice to help you on your journey. You'll leave with a better understanding of different data roles, which might be the better fit for you, and a concrete roadmap for taking action and accelerating your career. What You'll Learn: Key differences between Data Analyst and Data Science roles The critical tools to focus on to land a job in either role A step by step playbook for building the skills you need to succeed   This session was part of our OPEN CAMPUS week in October, which included 6 days of live expert sessions.   Register for free to be part of the next live session: https://bit.ly/3XB3A8b

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Who’s the most clutch quarterback in NFL history — Tom Brady, Patrick Mahomes, Aaron Rodgers, or someone completely unexpected? We’ll use Python + Data Science to figure it out.  👉 Try Sphinx for free - https://www.sphinx.ai ⏱️ TIMESTAMPS00:00 - Who’s the most clutch QB? 00:40 - Python + Sphinx AI: analyzing 1M NFL plays 02:00 - Defining “clutch” in football (data-driven approach) 03:15 - “TV Clutch” Top 10 07:50 - Using AI to processes play-by-play data 11:10 - Advanced Clutch Factor 17:00 - Advanced Top 10 24:30 - Build your own analysis 🔗 RESOURCES & LINKS💌 Join 20k+ aspiring data analysts — https://www.datacareerjumpstart.com/newsletter 🎯 Free Training: How to Land Your First Data Job — https://www.datacareerjumpstart.com/training 👩‍💻 Accelerator Program: Data Analytics Accelerator — https://www.datacareerjumpstart.com/daa 💼 Interview Prep Tool: Interview Simulator — https://www.datacareerjumpstart.com/interviewsimulator 📱 CONNECT WITH AVERY🎥 YouTube: @averysmith 🤝 LinkedIn: https://www.linkedin.com/in/averyjsmith 📸 Instagram: https://instagram.com/datacareerjumpstart 🎵 TikTok: https://www.tiktok.com/@verydata 💻 Website: https://www.datacareerjumpstart.com 📱 CONNECT WITH SPHINX🐦Twitter/X - https://x.com/getsphinx 🔗Linkedin - https://www.linkedin.com/company/sphinx-ml/ 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

In an era of unprecedented competition, manufacturing companies are turning to data not just for operational efficiency, but as a core driver of business transformation. This panel will explore how a modern data strategy can move an organization beyond optimization and into true innovation. We'll hear from tesa's CIO about their journey to leverage data as a strategic asset, with real-world examples from their use of shop floor analytics to drive quality and digitalization. Snowflake's Manufacturing Field CTO will then discuss how cutting-edge technologies like AI and GenAI are making data accessible to everyone, unlocking a future of smarter operations and entirely new business models. This session will provide clear, actionable insights on how to initiate, implement, and scale data programs for maximum impact.

Operating across multiple countries with many business units, Belron built a repeatable framework on Snowflake using the dbt Platform to prevent scaling chaos. This solution codifies the analytics development lifecycle (ADLC) through modular code, environments, CI/CD, and automated testing. This session will share reusable patterns for new rollouts and provide a practical decision framework for choosing between dbt Projects on Snowflake and the dbt Platform for enterprise control, including governance, cross-project mesh, and observability. You'll also learn about the adoption metrics Belron uses to measure success. You'll learn: reusable ADLC guardrails, a dbt product decision tree, and how standardization enables a sustainable mesh.

This session features Richard Lewis, Senior Solution Architect at Matillion, in conversation with Daniel Adams, Global Analytics Manager, from Edmund Optics, as they share how data integration, AI, and cloud technologies transformed technical support and accelerated time to value. Edmund Optics’ team of 50 highly skilled engineers faced a flood of repetitive technical inquiries, averaging 25 minutes per response, across a catalog of 34,000+ components. To streamline support, they partnered with Matillion, Snap Analytics, and Snowflake to build an AI-powered chatbot. Deployed in just 10 weeks, the chatbot delivers instant, consistent answers to common queries, freeing engineers to tackle complex issues and dramatically improving support efficiency.

Every organisation is reimagining how data and AI can drive faster, smarter decisions — but success depends on more than technology. It takes alignment between strategy, architecture, and culture.

Join Evoke’s Chief Analytics Officer, Mark Stern, together with Snowflake and AWS, as they share how Evoke built a unified, intelligent foundation that connects data, analytics, and AI to accelerate business outcomes. This session is a candid look at what it really takes to modernise at scale — from navigating change and simplifying legacy environments to enabling trusted, AI powered workflows across the enterprise.

Why attend: Walk away with practical lessons on balancing collaboration, governance, and innovation — and how to build a data and AI foundation your teams can grow with, together.

Data clean rooms are rapidly evolving from privacy-preserving data collaboration environments into powerful engines for AI- and ML-driven insights. This session will dive into the technical architecture and product capabilities enabling clean rooms to support advanced use cases across the marketing lifecycle — from identity resolution and lookalike modeling to cross-channel attribution and real-time optimization. Beyond advertising, we’ll examine how these innovations are scaling into verticals like retail and healthcare, where secure data collaboration is unlocking next-gen personalization, predictive analytics and clinical insights.

Telecommunications lies at the heart of the all-connected, AI-driven world - powering global connectivity and driving the next era of digital transformation. This session explores the fundamental requirements and opportunities for becoming a data-first telecom operator, highlighting how industry leaders are reshaping services and operations through unified, robust data, analytics and AI/ML strategies. Attendees will discover what's driving the next wave of telecom innovation, the essential foundations of an AI-powered telco, and how the Snowflake AI Data Cloud enables scalable, end-to-end machine learning and analytics. From breaking down data silos to deploying advanced AI/ML solutions, gain practical insights into building a truly modern, intelligent telecom business ready to thrive in a data-centric future.

How did Thrive cut decision times from weeks to minutes for their customers? In this session, we’ll uncover how Thrive Analyse, powered by ThoughtSpot, delivers real-time insights that reveal not just what’s happening but why.

We’ll unpack the secrets to empowering smarter questions, faster decisions to uncover new opportunities. And we’ll show why this shift didn’t just speed up smarter decisions for Thrive customers, it delivered real-time business objectives, unlocking new revenue streams for Thrive and giving them a lasting competitive edge.

In this customer-led session, you'll hear how Entain successfully addressed various scaling challenges using generative AI. Discover how their journey from manual, time-consuming processes for data and analytics projects went to a highly efficient, automated workflow that reduced engineering effort by 30% and time to market for data products by 25% - all in the first 3 months of utilising Snowflake Cortex AI and Streamlit.

Hargreaves Lansdown faced a critical challenge: fragmented data and legacy systems were slowing down insights and limiting strategic decision-making. By migrating to Snowflake and adopting a data products strategy with Sigma, the company is building a unified source of truth to streamline financial reporting, strengthen governance, and expand self-service analytics. With Sigma data apps reducing reliance on spreadsheets and manual reporting, teams are shifting to focus more on high-value work while fostering a culture of innovation.

Master AI-powered analytics in Snowflake. Learn how to leverage Snowflake's powerful AI SQL functions for advanced analytics on unstructured, time-series, and geospatial data. We'll also demonstrate how to use Semantic Views to bridge the gap between data and business understanding.

Jaja Finance is on a mission to empower customers to buy, borrow, and build, driven by technology, fuelled by data, and built for the future. But internally, the data team faced fragmented ways of working: non-standard modelling, limited transparency across teams, slow time-to-serve, all while navigating governance needs. In just one year, the team built a resilient, transparent, scalable data foundation by consolidating all data on Snowflake and standardizing development in Coalesce. 

In this session, Sarah Tolfrey, Head of Data Operations shares Jaja’s foundation-first playbook, from templating and data quality to iterative feedback loops that helped unlock:

•5x faster delivery on complex and unstructured data •Same-day turnarounds for change requests with downstream impact checks •30% faster development on complex projects usingCoalesceAI-powered Copilot, and  •47% reduction in model compute costs •Improved onboarding and cross-team visibility. This transformation opened the door to cutting-edge AI projects and broader analytics use across the business, accelerating Jaja’s mission to serve customers with speed, intelligence, and confidence.

What happens when marketing teams spend countless hours on manual campaign analysis while missing critical market opportunities? In this session, discover how AI is transforming marketing from a cost centre into a revenue-driving powerhouse. You'll see how Snowflake's Cortex AI enables marketers to automatically classify campaign assets, analyse multimodal performance data, and generate personalised content at scale—all without waiting for post-campaign analysis. This is marketing analytics reimagined—where AI democratizes data science, accelerates decision-making, and turns every campaign into a learning opportunity that drives immediate business impact.

Financial services organisations have access to more data than ever before, but many struggle with getting to the right data for advanced analytics and evermore complex outputs. This session will explore how organizations should approach strengthening their data foundation by modernising legacy architectures and prioritizing an end-to-end enterprise data strategy for better data access, governance, and collaboration in mind. We'll show how organizations can scale with migrations, access external data with security and ease, and tap into unstructured data with Snowflake Openflow.

Radical Self-Service: Synthesia’s decision-making transformation with Omni and Snowflake When Ed Mancey joined Synthesia as the first data hire, the company had no centralized data stack, conflicting KPIs, and zero self-service. Within a few months, he rolled out Omni on top of Snowflake — enabling business teams to answer their own questions and make better decisions. Now, the sales development team is improving outbound efficiency, sales managers are increasing pipeline conversion, and board reporting runs entirely in Omni. In this session, Edward Mancey will share how they scaled analytics across the business by creating clear lines of responsibility and empowering their business users to move fast and build what they need.

Discover how RAC redefined and transformed its roadside support and customer experience through access to real-time data. With challenges like fragmented and siloed data, and the need for instant roadside messaging, RAC teamed up with CACI and Snowflake. After setting up strong Snowflake data foundations and a Single Customer View, RAC could deliver real-time personalisation at scale for its customers and advanced analytics to predict where breakdown vans need to be.

Learn how the right data foundations and trusted partnerships helped RAC move faster, act smarter and serve customers better - plus some practical takeaways you can apply to your own strategy.

This panel brings together industry leaders to explore how they are harnessing data and AI to drive customer engagement, optimise operations and fuel business growth. From unifying customer data across channels, to leveraging AI for predictive insights and automation, our panelists will share real-world strategies and success stories showing how they are moving beyond basic analytics to create intelligent, data-driven strategies that impact every part of the business.

In the era of accelerated digital transformation, the UK public sector stands at the crossroads of unprecedented opportunity and significant responsibility. Aligning with critical administrative priorities — such as enhancing citizen experience, improving cybersecurity posture and increasing government efficiency — requires practical, innovative solutions. Join us to explore how Snowflake's AI Data Cloud for Government & Education enables AI-driven analytics and data collaboration to deliver measurable impact on mission-critical operations. Showcasing real-world UK public sector use case demos, we will highlight how leading government organisations can leverage AI to drive data-informed decision-making, automate processes and transform public service delivery.