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data_science algorithms predictive_analytics

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2020-Q1 2026-Q1

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Como a Inteligência Artificial se materializa em produtos e experiências reais para clientes? Neste episódio, conversamos com as lideranças por trás da Inteligência Itaú, a iniciativa que está transformando a forma como o banco integra IA em suas operações e no SuperApp Itaú. Falamos sobre como nasceu essa jornada, desde as primeiras experimentações com IA generativa até o lançamento de soluções que marcaram um ponto de virada na forma de entregar conveniência e personalização ao cliente. Além disso, também exploramos a arquitetura multiagente que sustenta a Inteligência Itaú e as novas frentes em expansão. Lembrando que você pode encontrar todos os podcasts da comunidade Data Hackers no Spotify, iTunes, Google Podcast, Castbox e muitas outras plataformas. Convidados: Cadu Mazzei - CTO Giovanna Braccialli - CIO Alina Pavan - CIO 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 Referências: Lançamento da primeira solução Pix no WhatsApp; Lançamento da Inteligência de Investimentos; Lançamento da Itaú EMPs, voltada para clientes PJ; Episódio 102 Data Hackers; Publicação Deep fake com MTI; Saiba mais sobre o Meetup Itaú Data.

Generative AI for Software Developers

Master Generative AI in software development with hands-on guidance, from coding and debugging to testing and deployment, using GitHub Copilot, Amazon Q Developer, and OpenAI APIs to build scalable, AI-powered applications Key Features Hands-on guidance for mastering AI-powered coding, debugging, and deployment with real-world examples Comprehensive coverage of GenAI concepts, prompt engineering, fine-tuning, and SDLC integration Practical strategies for architecting and scaling production-ready AI-driven applications Book Description Generative AI for Software Developers is your practical guide to mastering AI-powered development and staying ahead in a fast-changing industry. Through a structured, hands-on approach, this book helps you understand, implement, and optimize Generative AI in modern software engineering. From AI-assisted coding, debugging, and documentation to testing, deployment, and system design, it equips you with the skills to integrate AI seamlessly into your workflows. You’ll work with tools such as GitHub Copilot, Amazon Q Developer, and OpenAI APIs while learning strategies for prompt engineering, fine-tuning, and building scalable AI-powered applications. Featuring real-world use cases, best practices, and expert insights, this book bridges the gap between experimenting with AI and production deployment. Whether you’re an aspiring AI developer, experienced engineer, or solutions architect, this guide gives you the clarity, confidence, and tactical knowledge to thrive in the GenAI-driven future of software development. Armed with these insights, you’ll be ready to build, integrate, and scale intelligent solutions that enhance every stage of the software development lifecycle. What you will learn Build a secure GenAI application with expert guidance Understand the fundamentals of GenAI and its applications in software engineering Automate coding tasks with tools like GitHub Copilot, Amazon Q Developer, and OpenAI APIs Apply AI for debugging, testing, documentation, and deployment workflows Get to grips with prompt engineering and fine-tuning techniques to optimize AI outputs Implement best practices for architecting and scaling AI-powered applications Build end-to-end GenAI projects, moving from experimentation to production Who this book is for This book is for software developers, engineers, architects, and tech professionals who want to understand the core concepts of Generative AI and its real-world applications, master AI-driven development workflows to improve efficiency and code quality, and leverage tools like GitHub Copilot, Amazon Q Developer, and OpenAI APIs to automate coding tasks.

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

Like every other industry, retail has not been spared in the most recent AI-infused disruption. From store operations to warehouse management, each part of the value chain will be transformed in the near future.

Crisp is a global leader that offers a state-of-the-art collaborative commerce platform heavily infused with AI. The platform enables global CPGs to manage their retail businesses. SKUtrak, which is a demand intelligence platform, is the core part of the platform. SKUtrak has been built wholly on Snowflake to leverage on-demand capabilities to ingest, transform and share billions of rows of data per day.

In this talk, we dissect the ways in which AI is currently influencing the retail tech space. We dive into real-world use cases and deployed solutions, such as TruDemand and SKUtrak Promote (an AI-enriched promotions management). The role that Snowflake plays in enabling these products is also discussed

Every organization wants to leverage its enterprise data to its full potential. Learn how Snowflake Intelligence bridges the gap, providing business users with instant access to the data they need. Explore how you can build enterprise-grade applications with data agents in Snowflake. With 2025 being recognized as the "year of agents," discover how application architectures are evolving with these agentic innovations. See how Snowflake Intelligence is going to enable you to build high-quality, trusted agents quickly and efficiently.

This panel explores how EMEA organisations can harness AI for public good while unlocking powerful insights from their data to drive positive societal impact. Panelists will demonstrate how AI can transform complex datasets into actionable intelligence that creates both business value and meaningful social outcomes.

The discussion will provide practical strategies for using AI to extract deeper insights from data, building organisational capabilities to turn information into actionable insights. Attendees will gain insight into Europe's opportunity to lead in AI for good to create business and social value through responsible AI innovation.

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.

Every organisation is looking for ways to leverage its data with the power of AI. Discover how the AI Data Cloud provides business users with instant, meaningful insights from their enterprise data. This session will show you how to build robust, data-driven applications by leveraging Cortex Analyst and Cortex Search. Learn how these tools enable the creation of intelligent agents that can access and analyze your data on demand. We'll explore a 101-level approach to building your first agent in Snowflake, demonstrating how you can effortlessly "talk to your data" and unlock its full potential.

Powering business-critical financial services use cases requires access and seamless interoperability to state-of-the-art, best-of-breed data, services, and AI models. This session will bring to life Snowflake’s AI Data Cloud for Financial Services. Hear how industry-leading organisations are tapping into the ecosystem to drive both operational efficiencies and business outcomes. Learn about new capabilities, new partnerships, and new data and AI use cases being powered on Snowflake today.

All Response Media, Europe’s number-one performance media agency, turned a fragmented reporting process into a competitive advantage by combining Snowflake, Domo, and AI Agents. What once took 2.5 days now takes a single hour, with campaign insights delivered in real time and usage up 230 percent across the agency. In this session, discover how All Response Media built a scalable modern data stack, introduced Agents that translate data into client-ready insights, and created transparency that gives their global brand customers a genuine edge.

The digital skills gap costs the UK economy £63 billion annually. From healthcare to education and social care, unlocking the power of data and AI is critical to protecting citizens and driving better outcomes. This session reveals how to build agile, data-literate teams, scale innovation efficiently across departments, and create sustainable internal expertise. Join us to explore how to close the skills gap with fresh thinking and innovative approaches that revolutionise public sector capability.

What happens when a platform growing 800% year-over-year faces 10,000 customer support tickets a day? In this session, discover how HeliosX is using Cortex AI to move beyond manual triaging into a new era of intelligent, automated service, cutting response times, improving accuracy, and unlocking insights that drive customer trust. You’ll see the real-world architecture behind AI-powered ticket tagging, the measurable business impact it’s already delivering, and the bold next steps: real-time streaming, sentiment-driven triage, and proactive care. This is AI in action, reshaping how companies at scale serve, support, and delight their customers.

Discover how some of the telecom industry's top players are using the Snowflake Data Cloud for Telecoms to transform their businesses. This session explores how a unified, AI-driven data platform is the key to unlocking new insights, improving operational efficiency, and creating a competitive advantage in a rapidly transforming market. Hear directly from industry leaders as they share their journeys into a data-driven future.

This panel discussion will explore how the convergence of data and AI is revolutionising the healthcare and life sciences ecosystem. We will bring together leaders from health care companies, clinical research, research and development, and life sciences organisations to discuss the challenges of siloed data and how a modern data platform can unlock secure collaboration. The conversation will focus on real-world examples of how a unified approach to data is accelerating innovation, improving patient care, and ultimately, driving better outcomes.

Navigate the future of media with the AI Data Cloud. This session reveals how three critical trends — multimodal AI, the unified adtech/martech cloud and a centralised data gravity approach — are revolutionising content strategies and revenue models. Discover how Snowflake empowers media leaders to deliver personalised experiences, maximise advertising ROI and streamline operations. Witness firsthand how industry pioneers leverage Snowflake and Snowflake Cortex AI to drive innovation and gain a competitive edge in the dynamic media landscape.