Demonstrate any Digital Analytics solutions or method of your own that is way beyond the defaults. Who decides who's gonna win? The audience. Send your nomination to [email protected]!

After a brief rundown of the week's solid economic data, the Inside Economics team is joined by Moody’s Analytics colleague Martin Wurm to discuss the Fed’s recent pause and the path of monetary policy for the rest of the year. Martin breaks down how we should think about the equilibrium long-term interest rate and, in turn, the fed funds rate. The team also discusses the possible scenarios for the Fed this year, given the uncertainty around tariff and immigration policy.  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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Mergulhamos no universo dos AI Agents e discutimos por que eles são considerados a próxima revolução em Data & AI. Nossos convidados exploram desde os conceitos básicos até aplicações reais, incluindo como empresas estão criando agentes de forma autônoma e o papel do Langflow — uma plataforma de AI Agents, fundada por um brasileiro, que já é destaque no cenário internacional — nesse ecossistema.

Neste episódio do Data Hackers — a maior comunidade de AI e Data Science do Brasil - cconheçam Mikaeri Ohana - Head de Dados e IA na CI&T & Content Creator at Explica Mi , e o Gabriel Almeida - Founder & CTO @ Langflow.

Lembrando que você pode encontrar todos os podcasts da comunidade Data Hackers no Spotify, iTunes, Google Podcast, Castbox e muitas outras plataformas.

Nossa Bancada Data Hackers:

Paulo Vasconcellos - Co-founder da Data Hackers e Principal Data Scientist na Hotmart.

Monique Femme — Head of Community Management na Data Hackers

Gabriel Lages — Co-founder da Data Hackers e Data & Analytics Sr. Director na Hotmart.

Referências:

Participe do Evento do ifood: https://lu.ma/si2mn42p Blog Data Hackers - Langflow: Conheça uma plataforma de AI Agents fundada por um Brasileiro que já é destaque no cenário internacional: https://www.datahackers.news/p/langflow-conheca-uma-plataforma-de-ai-agents-fundada-por-um-brasileiro Langflow: https://www.langflow.org/pt/ Site da DataStax:
 Blog Data Hackers - CrewAI : https://www.datahackers.news/p/crew-ai-a-startup-brasileira-que-esta-dominando-o-mercado-de-ai-agents

In this episode, you'll get to hear from former Tableau Product Manager Bethany Lyons about the importance of having product skills on data teams. Bethany talks us through her experience as a PM at one of the most well-known data companies in the world, and how she views the role of product skills on data teams. You'll leave with a better understanding of what Product teams do in an organization and how you can leverage your data skills to make a major impact. What You'll Learn: Why having product skills is so important on data teams Tips and tricks to bring product thinking into your data role Bethany's best advice for anyone pursuing a career in data   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   About our guest: Bethany Lyons has a passion for solving hard problems with data analytics, and believes that product management is the best way to advance this cause. Follow Bethany on LinkedIn    

Season 1 Episode 29: Navigating Trade-Offs and Balancing Priorities The Data Product Management In Action podcast, brought to you by executive producer Scott Hirleman, is a platform for data product management practitioners to share insights and experiences. In this episode of Data Product Management in Action, host Alexa Westlake talks with Anita Chen, diving into the complexities of managing data products. Anita, a product manager at PagerDuty, shares her approach to defining data products, prioritizing work, and balancing project work with interrupt-driven tasks. They discuss the critical roles of governance, security, and user enablement while emphasizing the importance of transparency and communication. The conversation also explores the transformative potential of generative AI in data product interactions and the build-vs-buy decision-making process. Gain insights into how data product management uniquely differs from traditional software product management and learn actionable strategies for success. Meet our Host Alexa Westlake: Alexa is a Data Analytics Leader in the Identity and Access Management space with a proven track record scaling high-growth SaaS companies. As a Staff Data Analyst at Okta, she brings a wealth of expertise in enterprise data, business intelligence, and strategic decision-making from the various industries she's worked in including telecommunications, strategy execution, and cloud computing. With a passion for harnessing the power of data for actionable insights, Alexa plays a crucial role in driving Okta's security, growth, and scale, helping the organization leverage data to execute on their market opportunity. Connect with Alexa on LinkedIn.

Meet our guest Anita Chen:  Anita is a Data Product Manager at PagerDuty, a digital operations company helping teams resolve issues faster, eliminate alert fatigue, and build more reliable services! Her background is mainly in the People Analytics space which has now expanded to data at scale with our Enterprise Data Team. She currently helps build data products that enable our teams to deliver the best possible customer experience. Anita is most passionate about how data can impact someone's lived experience and endeavor to democratize data in everything she builds. Connect with Anita on LinkedIn. All views and opinions expressed are those of the individuals and do not necessarily reflect their employers or anyone else.  Join the conversation on LinkedIn.  Apply to be a guest or nominate someone that you know.  Do you love what you're listening to? Please rate and review the podcast, and share it with fellow practitioners you know. Your support helps us reach more listeners and continue providing valuable insights! 

The Data Product Management In Action podcast, brought to you by  executive producer Scott Hirleman, is a platform for data product management practitioners to share insights and experiences. In Season 01, Episode 28, we are excited to introduce to you a new host, Alexa Westgate! Join us as we learn all about her data journey. She'll discuss how she got into DPM, some of her greatest moments and challenges. You'll be excited for her future episodes! About our host Alexa Westlake: Alexa is a Data Analytics Leader in the Identity and Access Management space with a proven track record scaling high-growth SaaS companies. As a Staff Data Analyst at Okta, she brings a wealth of expertise in enterprise data, business intelligence, and strategic decision-making from the various industries she's worked in including telecommunications, strategy execution, and cloud computing. With a passion for harnessing the power of data for actionable insights, Alexa plays a crucial role in driving Okta's security, growth, and scale, helping the organization leverage data to execute on their market opportunity. Connect with Alexa on LinkedIn. All views and opinions expressed are those of the individuals and do not necessarily reflect their employers or anyone else.  Join the conversation on LinkedIn.  Apply to be a guest or nominate someone that you know.  Do you love what you're listening to? Please rate and review the podcast, and share it with fellow practitioners you know. Your support helps us reach more listeners and continue providing valuable insights! 

Send us a text Money Ball is back! Nancy Hensley, Chief Marketing Officer for Stats Perform, gives us the latest on data analytics in sports. If you like sports don't listen unless you have time to be entertained. Show Notes 04:09 What does Money Ball look like now?07:30 Mrs Chicago's personal update08:40 Fan website: The Analyst11:16 Stats Perform for the rest of us17:25 Sports tech competitors18:34 Monetizing data. $115M for NFL data! What?27:44 Broadcaster and PressboxLinkedin: https://www.linkedin.com/in/nancyhensley/ Website: https://statsperform.com/ Want to be featured as a guest on Making Data Simple? Reach out to us at [email protected] and tell us why you should be next. The Making Data Simple Podcast is hosted by Al Martin, WW VP Technical Sales, IBM, where we explore trending technologies, business innovation, and leadership ... while keeping it simple & fun. Want to be featured as a guest on Making Data Simple? Reach out to us at [email protected] and tell us why you should be next. The Making Data Simple Podcast is hosted by Al Martin, WW VP Technical Sales, IBM, where we explore trending technologies, business innovation, and leadership ... while keeping it simple & fun.

MakingDataSimple #MoneyBall #DataAnalytics #StatsPerform #SportsTech #MakingData Simple

Want to be featured as a guest on Making Data Simple? Reach out to us at [email protected] and tell us why you should be next. The Making Data Simple Podcast is hosted by Al Martin, WW VP Technical Sales, IBM, where we explore trending technologies, business innovation, and leadership ... while keeping it simple & fun.

Want to leapfrog 99% of your peers in the data analyst field (within the next THREE TO SIX months)? Tune in to discover the strategies you need! Listen to this NEXT: The ONLY Framework To Become A Data Analyst in 2025 (SPN Method) https://youtu.be/XUxWQgh3soo 💌 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 00:06 - Become laser-focused on your 'why' 03:34 - Focus on what matters to land the job 05:37 - Quit on being quiet, share your work! 07:51 - Networking 11:44 - Maximizing Your Time 🔗 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

Jason Touleyrou, Data Engineering Manager at Corewell Health joined Yuliia to discuss why most organizations struggle with data governance. He argues that data teams should focus on building trust through flexible systems rather than rigid controls. Challenging traditional data quality approaches, Jason suggests starting with basic freshness checks and evolving governance gradually. Drawing from his experience across healthcare and marketing analytics, he shares practical strategies for implementing governance during migrations and measuring data team value beyond conventional metrics. Jason's linkedin page - https://www.linkedin.com/in/jasontouleyrou/

Gain practical knowledge of application implementation using various programming approaches in predictive analytics. This book serves as a comprehensive guide for both beginners and professionals in the field of predictive analytics, offering core principles and practical insights without requiring an extensive mathematics or statistics background. The book starts with an introduction to analytics in decision making, protective analytics basics, and implementation in various industries. The book then takes you through types of regression, and simple linear regression in detail, followed by a demonstration of R Studio and SAS. Multiple Linear Regression is discussed next along with MLR model diagnostics. The book covers Multivariate Analysis and teaches you how to work with Principal Components Analysis, Factor Analysis, and much more. You also learn Time series Analysis with an understanding of Autoregressive Moving Average (ARMA) Models. After reading the book, you will be able to put predictive analytics principles into practice. What You Will Learn Understand modeling, estimating, and evaluating models for forecasting Implement Partial F-Test and Variable Selection Method Demonstrate each analysis model in R Studio and SAS Understand SLR and MLR Analysis models Who This Book Is For Students and professionals in the field of data analysis and intelligence applications

Daniel Avancini is the chief data officer and co-founder of Indicium—a fast-growing data consultancy started in Brazil.  There are a lot of data consultancies around the world, and a lot of them do great work. What has been so fascinating about Indicium's journey is their HR model. Rather than primarily hiring experienced professionals, they decided to go hard on training. They built a talent pipeline with courses and an internal onboarding process that takes new employees from zero to 60 over a few months. The result has been phenomenal and Indicium delivers great client outcomes, but most importantly, they're building skills for hundreds of brand new data professionals. Data is a hard field to break into because fundamentally you can't do the real thing unless you have access to data. So any company that is investing in building scalable hiring and training processes for analytical talent is one to be excited about. For full show notes and to read 6+ years of back issues of the podcast's companion newsletter, head to https://roundup.getdbt.com. The Analytics Engineering Podcast is sponsored by dbt Labs.

Inside Economics welcomes Wayne Best, Chief Economist at Visa, back on the podcast to celebrate the 200th episode and talk about the state of the American consumer. Wayne discusses Visa’s Spending Momentum Index for the U.S. and other parts of the globe and what it means for low, high, and middle-income households. The conversation ends with a discussion of the Trump administration’s policy proposals and the implications for inflation and growth. Guest: Wayne Best, Chief Economist at Visa 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.

Are you tired of simply answering stakeholder questions, not knowing where or how it ends up being used? Do you want to earn your seat at the table of decision makers in your company, helping shape the future? Don't miss this unique opportunity to hear from Matthew Brandt, aka mattytwoshoes, as he leads you through the field of Decision Science and helps you secure your future as the go-to expert in smart decision-making. After this session you'll click away with a solid understanding of Decision Science as well as an easy framework you can apply to your work right away. What You'll Learn: What Decision Science really is and why it's so relevant to your work as an analyst How you can replace the tedious question-answer dance with an effective framework The one thing Matthew recommends to start with Decision Science at your company   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   About our guest: Dylan Anderson is a Data Strategy Consultant, bridging the gap between data and strategy. Follow Matthew on LinkedIn https://mattytwo.shoes  

In this episode, host Jason Foster is joined by Lara Menke, Leadership Psychologist & Executive Coach. 

Together they explore leadership development and the application of business psychology to improve workplace dynamics and team performance. 

They also discuss the transformative potential of emotionally intelligent, self-aware, and empathetic leadership in fostering resilient and effective teams. 

*****  

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. 

CLEAR AND CONCISE TECHNIQUES FOR USING ANALYTICS TO DELIVER BUSINESS IMPACT AT ANY ORGANIZATION Organizations have more data at their fingertips than ever, and their ability to put that data to productive use should be a key source of sustainable competitive advantage. Yet, business leaders looking to tap into a steady and manageable stream of “actionable insights” often, instead, get blasted with a deluge of dashboards, chart-filled slide decks, and opaque machine learning jargon that leaves them asking, “So what?” Analytics the Right Way is a guide for these leaders. It provides a clear and practical approach to putting analytics to productive use with a three-part framework that brings together the realities of the modern business environment with the deep truths underpinning statistics, computer science, machine learning, and artificial intelligence. The result: a pragmatic and actionable guide for delivering clarity, order, and business impact to an organization’s use of data and analytics. The book uses a combination of real-world examples from the authors’ direct experiences—working inside organizations, as external consultants, and as educators—mixed with vivid hypotheticals and illustrations—little green aliens, petty criminals with an affinity for ice cream, skydiving without parachutes, and more—to empower the reader to put foundational analytical and statistical concepts to effective use in a business context.