Conversamos com o pessoal da Ambev Tech e exploramos como a Ambev, uma das gigantes do setor de bebidas, está revolucionando seus negócios por meio do uso estratégico de dados e inteligência artificial, destacando o impacto transformador dessas tecnologias em suas operações.

Neste episódio do Data Hackers — a maior comunidade de AI e Data Science do Brasil-, conheçam quatro profissionais que estão na linha de frente dessa transformação: Felipe Contratres (Contra), Diretor de Dados & IA at Ambev Tech; Maria Clara Castro , Cientista de Dados Senior at Ambev Tech; Mario Vieira, Diretor de Dados & IA at Ambev Tech; e Leonardo Rigueto, Diretor de Dados & IA B2B at Ambev Tech; em uma conversa rica em insights, com exemplos práticos de como a inteligência artificial está remodelando operações comerciais e fortalecendo a estratégia de negócios da Ambev.

Falamos no episódio

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

Felipe Contratres (Contra) — Diretor de Dados & IA at Ambev Tech

Maria Clara Castro — Cientista de Dados Senior at Ambev Tech

Mario Vieira — Diretor de Dados & IA at Ambev Tech

Leonardo Rigueto — Diretor de Dados & IA B2B at Ambev Tech

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:

Preencha a pesquisa State of Data Brazil: https://www.stateofdata.com.br/podcast

A do Campo ao Copo: Como os Dados Estão Transformando a Produção de Cerveja na Ambev: https://www.youtube.com/watch?v=mvCBMR6huWs

Vagas na Ambev:

Engenharia de Dados: https://ambevtech.gupy.io/jobs/6522861?jobBoardSource=gupy_public_page

Ciência de Dados: https://ambevtech.gupy.io/jobs/4578067?jobBoardSource=gupy_public_page

Data Engineering with AWS Cookbook serves as a comprehensive practical guide for building scalable and efficient data engineering solutions using AWS. With this book, you will master implementing data lakes, orchestrating data pipelines, and creating serving layers using AWS's robust services, such as Glue, EMR, Redshift, and Athena. With hands-on exercises and practical recipes, you will enhance your AWS-based data engineering projects. What this Book will help me do Gain the skills to design centralized data lake solutions and manage them securely at scale. Develop expertise in crafting data pipelines with AWS's ETL technologies like Glue and EMR. Learn to implement and automate governance, orchestration, and monitoring for data platforms. Build high-performance data serving layers using AWS analytics tools like Redshift and QuickSight. Effectively plan and execute data migrations to AWS from on-premises infrastructure. Author(s) Trâm Ngọc Phạm, Gonzalo Herreros González, Viquar Khan, and Huda Nofal bring together years of collective experience in data engineering and AWS cloud solutions. Each author's deep knowledge and passion for cloud technology have shaped this book into a valuable resource, geared towards practical learning and real-world application. Their approach ensures readers are not just learning but building tangible, impactful solutions. Who is it for? This book is geared towards data engineers and big data professionals engaged in or transitioning to cloud-based environments, specifically on AWS. Ideal readers are those looking to optimize workflows and master AWS tools to create scalable, efficient solutions. The content assumes a basic familiarity with AWS concepts like IAM roles and a command-line interface, ensuring all examples are accessible yet meaningful for those seeking advancement in AWS data engineering.

Moody’s Analytics own Scott Hoyt joins the Inside Economics team to discuss the state of the American consumer, as the critical Christmas buying season is set to begin. Consumers have been powering the broader economy, and the team expects that to continue.  But there are a number of consumer-related puzzles, which the team works to solve. Guest: Scott Hoyt, Senior Director of 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' @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.

Summary In this episode of the Data Engineering Podcast, Anna Geller talks about the integration of code and UI-driven interfaces for data orchestration. Anna defines data orchestration as automating the coordination of workflow nodes that interact with data across various business functions, discussing how it goes beyond ETL and analytics to enable real-time data processing across different internal systems. She explores the challenges of using existing scheduling tools for data-specific workflows, highlighting limitations and anti-patterns, and discusses Kestra's solution, a low-code orchestration platform that combines code-driven flexibility with UI-driven simplicity. Anna delves into Kestra's architectural design, API-first approach, and pluggable infrastructure, and shares insights on balancing UI and code-driven workflows, the challenges of open-core business models, and innovative user applications of Kestra's platform.

Announcements Hello and welcome to the Data Engineering Podcast, the show about modern data managementData migrations are brutal. They drag on for months—sometimes years—burning through resources and crushing team morale. Datafold's AI-powered Migration Agent changes all that. Their unique combination of AI code translation and automated data validation has helped companies complete migrations up to 10 times faster than manual approaches. And they're so confident in their solution, they'll actually guarantee your timeline in writing. Ready to turn your year-long migration into weeks? Visit dataengineeringpodcast.com/datafold today for the details.As a listener of the Data Engineering Podcast you clearly care about data and how it affects your organization and the world. For even more perspective on the ways that data impacts everything around us you should listen to Data Citizens® Dialogues, the forward-thinking podcast from the folks at Collibra. You'll get further insights from industry leaders, innovators, and executives in the world's largest companies on the topics that are top of mind for everyone. They address questions around AI governance, data sharing, and working at global scale. In particular I appreciate the ability to hear about the challenges that enterprise scale businesses are tackling in this fast-moving field. While data is shaping our world, Data Citizens Dialogues is shaping the conversation. Subscribe to Data Citizens Dialogues on Apple, Spotify, Youtube, or wherever you get your podcasts.Your host is Tobias Macey and today I'm interviewing Anna Geller about incorporating both code and UI driven interfaces for data orchestrationInterview IntroductionHow did you get involved in the area of data management?Can you start by sharing a definition of what constitutes "data orchestration"?There are many orchestration and scheduling systems that exist in other contexts (e.g. CI/CD systems, Kubernetes, etc.). Those are often adapted to data workflows because they already exist in the organizational context. What are the anti-patterns and limitations that approach introduces in data workflows?What are the problems that exist in the opposite direction of using data orchestrators for CI/CD, etc.?Data orchestrators have been around for decades, with many different generations and opinions about how and by whom they are used. What do you see as the main motivation for UI vs. code-driven workflows?What are the benefits of combining code-driven and UI-driven capabilities in a single orchestrator?What constraints does it necessitate to allow for interoperability between those modalities?Data Orchestrators need to integrate with many external systems. How does Kestra approach building integrations and ensure governance for all their underlying configurations?Managing workflows at scale across teams can be challenging in terms of providing structure and visibility of dependencies across workflows and teams. What features does Kestra offer so that all pipelines and teams stay organised?What are

Help us become the #1 Data Podcast by leaving a rating & review! We are 67 reviews away! Why pay to learn data skills when you could get paid to learn instead? Let’s explore the options and find what works for you. 💌 Join 30k+ 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 00:21 Learning for Free 01:13 Paid Learning 02:53 Getting Paid to Learn 04:58 Company-Sponsored Learning: Courses and Degrees 🔗 CONNECT WITH AVERY 🎥 YouTube Channel 🤝 LinkedIn 📸 Instagram 🎵 TikTok 💻 Website 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

Join us as we unveil the latest announcements for Power BI in Microsoft Fabric. Explore how Copilot's advanced AI capabilities are transforming data analytics by automating report creation, generating intelligent insights, and enhancing data visualization. Discover how Power BI seamlessly integrates to enable smooth data flow and enhance collaboration. We'll also share real-world success stories, demonstrating the profound impact of this innovation on data analytics.

𝗦𝗽𝗲𝗮𝗸𝗲𝗿𝘀: * Mohammad Ali * Kimberly Manis

𝗦𝗲𝘀𝘀𝗶𝗼𝗻 𝗜𝗻𝗳𝗼𝗿𝗺𝗮𝘁𝗶𝗼𝗻: This is one of many sessions from the Microsoft Ignite 2024 event. View even more sessions on-demand and learn about Microsoft Ignite at https://ignite.microsoft.com

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Real Time Intelligence is a transformative technology designed to empower businesses with real-time data insights and analytics. This session will cover the journey of Real Time Intelligence from its inception to its current state, highlighting key features, capabilities, and the impact it has on operational efficiency and decision-making processes. We will also highlight customer success stories and showcase how you can revolutionize your data strategy and unlock new opportunities for growth.

𝗦𝗽𝗲𝗮𝗸𝗲𝗿𝘀: * Yitzhak Kesselman * Tessa Kloster * Niraj Revankar * Vijay Sankaran * Ksenia Suresh

𝗦𝗲𝘀𝘀𝗶𝗼𝗻 𝗜𝗻𝗳𝗼𝗿𝗺𝗮𝘁𝗶𝗼𝗻: This is one of many sessions from the Microsoft Ignite 2024 event. View even more sessions on-demand and learn about Microsoft Ignite at https://ignite.microsoft.com

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Explore how AI is revolutionizing the data analytics landscape. Microsoft Fabric serves as the center of data gravity for both business and technical users. We'll delve into real-world scenarios showcasing the power of combining Microsoft Fabric with AI to enhance data insights, analyze customer interactions, and customize machine learning models. ​Join us to understand the impact of AI on data analytics and take the next steps to leverage Microsoft Fabric for your organization’s success.

𝗦𝗽𝗲𝗮𝗸𝗲𝗿𝘀: * Mohammad Ali * Nellie Gustafsson * Kelly Richardson-Lewis

𝗦𝗲𝘀𝘀𝗶𝗼𝗻 𝗜𝗻𝗳𝗼𝗿𝗺𝗮𝘁𝗶𝗼𝗻: This is one of many sessions from the Microsoft Ignite 2024 event. View even more sessions on-demand and learn about Microsoft Ignite at https://ignite.microsoft.com

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GenAI applications and Copilots are transforming the SQL experience. Join us to learn how Microsoft delivers an optimal platform for new AI workloads using vectors and RAG patterns, while ensuring ROI, performance, and security your business demands today. Discover the latest innovations for Azure SQL for gen AI applications and database context-aware Copilots, powered by Azure SQL Database Hyperscale. Ensure your SQL estate is future-ready in this era of intelligent applications and analytics.

𝗦𝗽𝗲𝗮𝗸𝗲𝗿𝘀: * John Tracy * Bob Ward * Muazma Zahid

𝗦𝗲𝘀𝘀𝗶𝗼𝗻 𝗜𝗻𝗳𝗼𝗿𝗺𝗮𝘁𝗶𝗼𝗻: This is one of many sessions from the Microsoft Ignite 2024 event. View even more sessions on-demand and learn about Microsoft Ignite at https://ignite.microsoft.com

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We’re improving DataFramed, and we need your help! We want to hear what you have to say about the show, and how we can make it more enjoyable for you—find out more here. The convergence of AI and business intelligence is creating new opportunities for innovation. As AI becomes more embedded in BI tools, the challenge lies in fostering a data-driven culture within organizations. How can professionals bridge the gap between intuition and data-driven decision-making? What strategies can be employed to cultivate a culture where data is at the forefront of business decisions? And how can AI tools be leveraged to make data insights more accessible to all employees? Omri Kohl is the CEO and co-founder of Pyramid Analytics, the Trusted Analytics Platform built for the enterprise. He leads Pyramid’s strategy and operations through a fast-growing data and analytics market. Kohl brings a deep understanding of analytics and AI technologies, valuable management experience, and a natural ability to challenge conventional thinking. Since Kohl founded Pyramid in 2009, it has achieved significant market success and customer growth. Kohl is a highly experienced entrepreneur with a proven track record developing and managing fast-growth companies. In the episode, Richie and Omri explore the evolution of BI with AI, the importance of data-driven culture, the role of generative BI in democratizing insights, the balance between intuition and data, and much more. Links Mentioned in the Show: Pyramid AnalyticsConnect with OmriPyramid Analytics GenBI DemoCourse: Introduction to Data CultureRelated Episode: Self-Service Business Intelligence with Sameer Al-Sakran, CEO at MetabaseRewatch sessions from RADAR: Forward Edition New to DataCamp? Learn on the go using the DataCamp mobile appEmpower your business with world-class data and AI skills with DataCamp for business

Account for uncertainties and optimize decision-making with this thorough exposition Decision theory is a body of thought and research seeking to apply a mathematical-logical framework to assessing probability and optimizing decision-making. It has developed robust tools for addressing all major challenges to decision making. Yet the number of variables and uncertainties affecting each decision outcome, many of them beyond the decider’s control, mean that decision-making is far from a ‘solved problem’. The tools created by decision theory remain to be refined and applied to decisions in which uncertainties are prominent. Probabilistic Forecasts and Optimal Decisions introduces a theoretically-grounded methodology for optimizing decision-making under conditions of uncertainty. Beginning with an overview of the basic elements of probability theory and methods for modeling continuous variates, it proceeds to survey the mathematics of both continuous and discrete models, supporting each with key examples. The result is a crucial window into the complex but enormously rewarding world of decision theory. Readers of Probablistic Forecasts and Optimal Decisions will also find: Extended case studies supported with real-world data Mini-projects running through multiple chapters to illustrate different stages of the decision-making process End of chapter exercises designed to facilitate student learning Probabilistic Forecasts and Optimal Decisions is ideal for advanced undergraduate and graduate students in the sciences and engineering, as well as predictive analytics and decision analytics professionals.

Joe Hazell, Assistant Professor of Economics at the London School of Economics, joins the podcast to discuss inflation. Joe breaks down the reasons for the lack of inflation in the pre-pandemic period and the primary causes of inflation over the past four years. The team discusses why the average American is much more sensitive to inflation than unemployment and whether the Fed should rethink how it balances the two when considering monetary policy. Finally, the discussion turns to the incoming Trump administration’s policies and their potential effect on inflation over the next few years.    Guest: Jonathon Hazell - Assistant Professor of Economics at the London School of Economics Papers mentioned in this episode: Why Do Workers Dislike Inflation? Wage Erosion and Conflict Costs and The Dominant Role of Expectations and Broad-Based Supply Shocks in Driving Inflation  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' @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.

Recebemos dois líderes globais do BEES, a plataforma B2B da AB-InBev que tem transformado completamente a forma com que verejistas de todo o mundo fazem suas compras usando tecnologia.

Juntos, nossos convidados compartilharam histórias marcantes de como construiram suas carreiras em dados, dando orientações para quem busca se destacar na área e oportunidades de como se manter à frente em um mercado de dados em constante evolução

Neste episódio do Data Hackers — a maior comunidade de AI e Data Science do Brasil-, conheçam Bruno Vianna — Diretor Global de BEES Personalization; e Daniel Casares — Diretor Global de Data & Analytics no BEES ; para uma conversa inspiradora sobre tecnologia, dados e inovação no universo do BEES, a plataforma B2B da Ab-InBev que está revolucionando a indústria de bens de consumo.

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

Falamos no episódio

Bruno Vianna — Diretor Global de BEES Personalization;  Daniel Casares — Diretor Global de Data & Analytics no BEES.

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:

Preencha a pesquisa State of Data Brazil: https://www.stateofdata.com.br/ Link de Vagas BEES: https://job-boards.greenhouse.io/beespersonalization

The data analytics job market seems more competitive than ever right now. In this episode, John David Ariansen talks about the state of hiring, his recent experience in the job market, what employers are looking for, and how you can stand out and set yourself up for success. You'll leave the show with a good understanding of the current market, and some practical and actionable tips you can use to land your next data role. What You'll Learn: What employers are looking for in today's analytics job market What candidates can expect from applying, interviewing, and offers How you can stand out and set yourself up for success   Register for free to be part of the next live session: https://bit.ly/3XB3A8b   About our guests: John David Ariansen is a Business Analyst, Professor, Podcast Host, and Career Advisor. Follow John David on LinkedIn How to Get an Analytics Job Podcast

Follow us on Socials: LinkedIn YouTube Instagram (Mavens of Data) Instagram (Maven Analytics) TikTok Facebook Medium X/Twitter

Transform your data analysis experience with Power Query, the ultimate tool for importing, reshaping, and cleansing data through a user-friendly interface. Whether youre using Power BI, Excel, or other Microsoft products, Power Querys capabilities are at your fingertips. Renowned Power Query experts Daniil Maslyuk and Gil Raviv guide you through mastering this indispensable tool, helping you eliminate tedious manual data preparation, tackle common issues, and avoid potential pitfalls. In this updated edition, youll delve into comprehensive analytics challenges, seamlessly integrating your skills into a realistic, final project. By the end, youll possess the expertise to handle any data and convert it into actionable insights. You will learn how to: Effortlessly prepare data by utilizing Power Query in Power BI and Excel to transform your data quickly and efficiently Overcome common data preparation problems with intuitive mouse clicks and straightforward formula edits Combine data from various sources, multiple queries, and mismatched tables with ease Reshape tables to suit your analysis needs Use the Power Query M formula language to create flexible data mashups and tailor transformations to your requirements Address and overcome collaboration challenges by using Power Querys powerful features Gain crucial insights from text feeds by enhancing your data analysis capabilities Profile data, diagnose queries, improve query performance, and more! About This Book For everyone who wants to get more done with Power Query in less time For business and financial professionals, developers, entrepreneurs, students, and others who need to efficiently manage and analyze data .

Le Wagon alumni from the different data bootcamps (Data Science & AI, Data Analytics and Data Engineering) share their experiences in job hunting and career growth.

Customers are embracing unified data and analytics to achieve more with their data and get ready for AI transformation, opening up a large and high growth opportunity for Microsoft partners. Microsoft’s expanding set of AI-powered toolset, including Fabric and Azure Databricks, provide open and extensible platforms for customers to accelerate their AI journey. Understand the narrative, and the resources for positioning yourself to profit from this opportunity.

To learn more, please check out these resources: * https://aka.ms/Ignite24Plan-MicrosoftFabric * https://aka.ms/DataAICiaB * https://aka.ms/FabricPartnerResources * https://aka.ms/dreams * https://aka.ms/JoinFabricPartnerCommunity * https://www.fabricconf.com

𝗦𝗽𝗲𝗮𝗸𝗲𝗿𝘀: * Ashley Asdourian * Wangui McKelvey

𝗦𝗲𝘀𝘀𝗶𝗼𝗻 𝗜𝗻𝗳𝗼𝗿𝗺𝗮𝘁𝗶𝗼𝗻: This is one of many sessions from the Microsoft Ignite 2024 event. View even more sessions on-demand and learn about Microsoft Ignite at https://ignite.microsoft.com

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We’re improving DataFramed, and we need your help! We want to hear what you have to say about the show, and how we can make it more enjoyable for you—find out more here. Integrating generative AI with robust databases is becoming essential. As organizations face a plethora of database options and AI tools, making informed decisions is crucial for enhancing customer experiences and operational efficiency. How do you ensure your AI systems are powered by high-quality data? And how can these choices impact your organization's success? Gerrit Kazmaier is the VP and GM of Data Analytics at Google Cloud. Gerrit leads the development and design of Google Cloud’s data technology, which includes data warehousing and analytics. Gerrit’s mission is to build a unified data platform for all types of data processing as the foundation for the digital enterprise. Before joining Google, Gerrit served as President of the HANA & Analytics team at SAP in Germany and led the global Product, Solution & Engineering teams for Databases, Data Warehousing and Analytics. In 2015, Gerrit served as the Vice President of SAP Analytics Cloud in Vancouver, Canada. In this episode, Richie and Gerrit explore the transformative role of AI in data tools, the evolution of dashboards, the integration of AI with existing workflows, the challenges and opportunities in SQL code generation, the importance of a unified data platform, leveraging unstructured data, and much more. Links Mentioned in the Show: Google CloudConnect with GerritThinking Fast and Slow by Daniel KahnemanCourse: Introduction to GCPRelated Episode: Not Only Vector Databases: Putting Databases at the Heart of AI, with Andi Gutmans, VP and GM of Databases at GoogleRewatch sessions from RADAR: Forward Edition New to DataCamp? Learn on the go using the DataCamp mobile appEmpower your business with world-class data and AI skills with DataCamp for business

AI has made its way into the boardroom, bringing with it a wave of excitement—and for some, a dose of confusion. For those in the know, AI has become an accelerator for operational and strategic improvements. But for others, the rapid pace and mixed messages have led to uncertainty. In our latest episode, Cynozure's CEO and Founder, Jason Foster explores the current state of AI in leadership spaces and the opportunities it presents for data leaders and professionals.  *****   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. 

Introducing SQL database in Fabric: Discover the future of data management and unlock new scenarios that drive your business forward. Join us as we showcase the first fully SaaS database experience in Microsoft Fabric. Experience the simplicity of an integrated development environment that empowers you to quickly harness the power of an AI-driven analytics platform. Learn how to access both transactional and analytical data in one place without compromising application performance.

𝗦𝗽𝗲𝗮𝗸𝗲𝗿𝘀: * Panos/Panagiotis Antonopoulos * Anna Hoffman * Asad Khan

𝗦𝗲𝘀𝘀𝗶𝗼𝗻 𝗜𝗻𝗳𝗼𝗿𝗺𝗮𝘁𝗶𝗼𝗻: This is one of many sessions from the Microsoft Ignite 2024 event. View even more sessions on-demand and learn about Microsoft Ignite at https://ignite.microsoft.com

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