talk-data.com

Open Source Frühstück: enjoy food and deep technical talks

Open your day with a solid breakfast and practical discussions on Apache Kafka, ClickHouse, PostgreSQL and much more. Enjoy a session designed for data engineers, architects and technical decisions-makers like you, who want to address the challenges they face in data-infrastructure. No high-level pitches but straight into practical discussions on how to build scalable, efficient open sourced-powered data platforms. We are excited to announce that Lizzeth Quinteros, Platform Engineering Lead at eDreams ODIGEO, will be joining us as our customer speaker. We will be talking with her about current trends and how Aiven is supporting eDreams ODIGEO on their platform journey, with a specific focus on Apache Kafka. What's on the menu (other than a delicious breakfast):

• Deep dives into new features and upcoming technical roadmaps, including Aiven Inkless, Kafka, Apache Iceberg, OpenSearch, PostgreSQL, and ClickHouse
• Real case studies demonstrating how top engineering teams are solving core data problems with these stacks, including search, observability, and analytics use cases powered by OpenSearch.
• Optimization techniques for performance, cost-efficiency, and operational simplicity.

So what are you waiting for? Secure your seat now!

Open Source Frühstück: enjoy food and deep technical talks

Open your day with a solid breakfast and practical discussions on Apache Kafka, ClickHouse, PostgreSQL and much more. Enjoy a session designed for data engineers, architects and technical decisions-makers like you, who want to address the challenges they face in data-infrastructure. No high-level pitches but straight into practical discussions on how to build scalable, efficient open sourced-powered data platforms.

What's on the menu (other than a delicious breakfast):

• Deep dives into new features and upcoming technical roadmaps, including Aiven Inkless, Kafka, Apache Iceberg, OpenSearch, PostgreSQL, and ClickHouse
• Real case studies demonstrating how top engineering teams are solving core data problems with these stacks, including search, observability, and analytics use cases powered by OpenSearch.
• Optimization techniques for performance, cost-efficiency, and operational simplicity.

So what are you waiting for? Secure your seat now!

Summary In this crossover episode, Max Beauchemin explores how multiplayer, multi‑agent engineering is transforming the way individuals and teams build data and AI systems. He digs into the shifting boundary between data and AI engineering, the rise of “context as code,” and how just‑in‑time retrieval via MCP and CLIs lets agents gather what they need without bloating context windows. Max shares hard‑won practices from going “AI‑first” for most tasks, where humans focus on orchestration and taste, and the new bottlenecks that appear — code review, QA, async coordination — when execution accelerates 2–10x. He also dives deep into Agor, his open‑source agent orchestration platform: a spatial, multiplayer workspace that manages Git worktrees and live dev environments, templatizes prompts by workflow zones, supports session forking and sub‑sessions, and exposes an internal MCP so agents can schedule, monitor, and even coordinate other agents.

Announcements Hello and welcome to the Data Engineering Podcast, the show about modern data managementData teams everywhere face the same problem: they're forcing ML models, streaming data, and real-time processing through orchestration tools built for simple ETL. The result? Inflexible infrastructure that can't adapt to different workloads. That's why Cash App and Cisco rely on Prefect. Cash App's fraud detection team got what they needed - flexible compute options, isolated environments for custom packages, and seamless data exchange between workflows. Each model runs on the right infrastructure, whether that's high-memory machines or distributed compute. Orchestration is the foundation that determines whether your data team ships or struggles. ETL, ML model training, AI Engineering, Streaming - Prefect runs it all from ingestion to activation in one platform. Whoop and 1Password also trust Prefect for their data operations. If these industry leaders use Prefect for critical workflows, see what it can do for you at dataengineeringpodcast.com/prefect.Data 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.Composable data infrastructure is great, until you spend all of your time gluing it together. Bruin is an open source framework, driven from the command line, that makes integration a breeze. Write Python and SQL to handle the business logic, and let Bruin handle the heavy lifting of data movement, lineage tracking, data quality monitoring, and governance enforcement. Bruin allows you to build end-to-end data workflows using AI, has connectors for hundreds of platforms, and helps data teams deliver faster. Teams that use Bruin need less engineering effort to process data and benefit from a fully integrated data platform. Go to dataengineeringpodcast.com/bruin today to get started. And for dbt Cloud customers, they'll give you $1,000 credit to migrate to Bruin Cloud.Your host is Tobias Macey and today I'm interviewing Maxime Beauchemin about the impact of multi-player multi-agent engineering on individual and team velocity for building better data systemsInterview IntroductionHow did you get involved in the area of data management?Can you start by giving an overview of the types of work that you are relying on AI development agents for?As you bring agents into the mix for software engineering, what are the bottlenecks that start to show up?In my own experience there are a finite number of agents that I can manage in parallel. How does Agor help to increase that limit?How does making multi-agent management a multi-player experience change the dynamics of how you apply agentic engineering workflows?Contact Info LinkedInLinks AgorApache AirflowApache SupersetPresetClaude CodeCodexPlaywright MCPTmuxGit WorktreesOpencode.aiGitHub CodespacesOnaThe intro and outro music is from The Hug by The Freak Fandango Orchestra / CC BY-SA

Please RSVP on Luma - https://lu.ma/95a5qys1 DO NOT rsvp here on meetup!

​Join us in NYC for an afternoon of ideas, innovation, and Iceberg. Whether you're building lakehouses at scale or just getting started with Apache Iceberg™, this is your chance to connect with the community, hear from industry leaders, and dive into the latest in open data architectures. ​Expect a packed agenda of technical talks, real-world case studies, and plenty of hallway conversations with fellow engineers, contributors, and data infrastructure folks. ​Date: Thursday, July 10th

​Call For Presentations

​We’re looking for engineers, practitioners, and open-source contributors to share real-world experiences, technical deep dives, and lessons learned with Apache Iceberg. ​Talks should be technical, practical, and 30 minutes in length. ​Submit your CFP here: https://bit.ly/NYC-Iceberg ​Ends on Jun 27 (Friday). We are looking for approximately 5 speakers.

​​Agenda

​3:00 – 4:00 PM: Doors open, refreshments, and casual networking 💬 4:00 – 5:30 PM: Welcome + speaker sessions 🎤 5:30 – 6:00 PM: Break & networking 🕺💃 6:00 – 7:00 PM: More technical talks 🎤 7:00 – 9:00 PM: Happy hour, dinner, and more networking 🥂 ​The event will focus on innovations in Apache Iceberg (https://iceberg.apache.org/) ​We will discuss topics around Open-Source Data Analytics, Open Table Formats (OTF), software concepts like Transactional Data Lakes or Lakehouse, advancements in AI/ML including generative AI, and many more topics of mutual interest that leverage Apache Iceberg. ​During the sessions, we will provide you tips to get involved within the community, you will learn more about how the community is collaborating to grow the technology, and software/solutions that ease problem solving and improve user experiences.

RSVP and Find details on the events LU.Ma page

https://lu.ma/95a5qys1

🧊 Apache Iceberg Meetup is coming to the Big Apple! 🗽

​Join us in NYC for an afternoon of ideas, innovation, and Iceberg. Whether you're building lakehouses at scale or just getting started with Apache Iceberg™, this is your chance to connect with the community, hear from industry leaders, and dive into the latest in open data architectures. ​Expect a packed agenda of technical talks, real-world case studies, and plenty of hallway conversations with fellow engineers, contributors, and data infrastructure folks. ​Date: Thursday, July 10th

​Call For Presentations

​We’re looking for engineers, practitioners, and open-source contributors to share real-world experiences, technical deep dives, and lessons learned with Apache Iceberg. ​Talks should be technical, practical, and 30 minutes in length. ​Submit your CFP here: https://bit.ly/NYC-Iceberg ​Ends on Jun 27 (Friday). We are looking for approximately 5 speakers.

Join us for an evening of cutting-edge AI innovation hosted by GDG Berlin at IAV. This Build with AI special event explores how multimodal intelligence—the fusion of video, language, and sensor data—is transforming industries, with a spotlight on the automotive sector and video understanding.

In Talk 1, Dr. Christoph Raab discover the automotive industry in Germany is undergoing transformative changes marked by electrification, software-defined vehicles, and AI. Among these, AI plays a pivotal role—not only in features like self-driving cars and intelligent infotainment but also in transforming how vehicles are engineered. AI can significantly optimize and accelerate the design process, particularly within the V-model, a key framework for developing and validating automotive systems. By leveraging AI, efficiency gains of quite over 50% can be achieved in requirements engineering, testing, and software development.This talk will explore how AI enhances the V-model, showcasing real-world use cases, IAV's cutting-edge solutions, and hands-on demonstrations. Expect practical insights, interactive demos, and a roadmap to integrating AI into the automotive industry.

In Talk 2, Hrishikesh Yadav, dives deep into the world of video understanding and explore how models like Marengo craft meaningful video embeddings, enabling applications such as video-to-text generation, scene analysis, and AI agents. ive into the fast-evolving field of video understanding and discover how multimodal AI models—like vision transformers and Marengo—are shaping the future of intelligent systems. This session covers real-world use cases, how to generate meaningful video embeddings, and the journey from video to text using models like Pegasus. Includes a live demo and open-source resources to start building your own applications. No prior experience needed! In talk 3, Nidaa Fatimah Mungloo will take us through the practical side of Retrieval-Augmented Generation (RAG) — breaking it down and showing how this powerful architecture is used in real-world applications today.

Agenda

6:30 PM: Open doors

Open doors

7:00 PM: Talk 1 begins

Talk 1: Driving the future: How AI is powering the automotive revolution The automotive industry in Germany is undergoing transformative changes marked by electrification, software-defined vehicles, and AI. Among these, AI plays a pivotal role—not only in features like self-driving cars and intelligent infotainment but also in transforming how vehicles are engineered.

AI can significantly optimize and accelerate the design process, particularly within the V-model, a key framework for developing and validating automotive systems. By leveraging AI, efficiency gains of quite over 50% can be achieved in requirements engineering, testing, and software development.

This talk will explore how AI enhances the V-model, showcasing real-world use cases, IAV's cutting-edge solutions, and hands-on demonstrations. Expect practical insights, interactive demos, and a roadmap to integrating AI into the automotive industry.

7:30 PM: short break and food/drinks

short break and food/drinks

7:45 PM: Talk 2 begins

Talk 2: Exploring the world of video understanding with Multimodal AI dive deep into the world of video understanding and explore how models like Marengo craft meaningful video embeddings, enabling applications such as video-to-text generation, scene analysis, and AI agents.

8:30 PM: Talk 3 begins

Nidaa will take us through the practical side of Retrieval-Augmented Generation (RAG) — breaking it down and showing how this powerful architecture is used in real-world applications today.

9:00 PM: Networking, food, drinks

Networking

Speakers

Dr. Christoph Raab - IAV

Research Engineer for AI Agents and LLMs @ IAV GmbH IAV GmbHBielefeld University

Hrishikesh Yadav - Twelve Labs

AI & Backend Engineer Twelve Labs

Nidaa Fatimah Mungloo - Gallup

Senior software engineer

Hosted By

Abhinav Kulshreshtha, Organizer

Alex Mir, GDG Organizer

GDG Berlin co-lead and Software Engineer

Emy Jamalian, QA engineer

I am a girl, a middle eastern, a European residence, an extra extroverted, a believer in making things work, a fighter for fairness, a motivator.

Jerome Mouton, Organizer

Louis Tsai, GDG Organizer

manjula dube, Organizer

I am Software Engineer & teacher. I'm a world renowned tech speaker.I am from India currently living in Berlin with my husband Sahil Mhapsekar.

I work at The Vanguard Group Europe. I am Founder of Geekabyte that aims to deliver in person tech workshops on Web Development & organises international conferences, React India & JS Conf India. I'm also a Google Developer Expert. I have been obsessed with coding ever since I graduated out of college.

I am founding member of Mumbai Women Coders that aims to encourage more women in tech & provide an avenue into the technology world. I love contributing to open source in my free time. I love Javascript, React & my family ❤️ In coming years I see my self teaching people to code.

Mohamed Islem Ayari, Organizer

Shrinish Donde,

Passionate about telecom and sports. Likes to be in organising and networking.

Complete your event RSVP here: https://gdg.community.dev/events/details/google-gdg-berlin-presents-build-with-ai-unlocking-the-power-of-multimodal-intelligence/.

(RSVP at https://www.icebergsummit2025.com) Iceberg Summit: Shaping the future with the world’s most advanced table format

As the premier event dedicated to Apache Iceberg, Iceberg Summit 2025 brings together the brightest minds in data engineering, cloud architecture, and analytics to share real-world experiences and shape the future of data infrastructure.

Iceberg Summit 2025 is an Apache Software Foundation-sanctioned event, embodying the collaborative spirit that drives open-source innovation. Join us to explore how Iceberg is setting new standards for data lake management and help shape the next generation of data infrastructure.

Day 1: In-Person in San Francisco (April 8) Join us for the first-ever in-person Apache Iceberg Summit. Experience live workshops, technical deep-dives, face-to-face networking, and direct interaction with core maintainers and practitioners in our exhibition hall.

Day 2: Global Virtual Summit (April 9) Connect with the worldwide Iceberg community through live-streamed technical sessions, interactive Q&A, virtual exhibition booths, and topic-focused Slack channels.

Don’t miss this opportunity to be part of the definitive Apache Iceberg event of 2025. Whether you’re a seasoned practitioner or just beginning your Iceberg journey, you’ll leave with valuable insights, connections, and practical knowledge to advance your data initiatives.

(RSVP at https://www.icebergsummit2025.com) Iceberg Summit: Shaping the future with the world’s most advanced table format

As the premier event dedicated to Apache Iceberg, Iceberg Summit 2025 brings together the brightest minds in data engineering, cloud architecture, and analytics to share real-world experiences and shape the future of data infrastructure.

Iceberg Summit 2025 is an Apache Software Foundation-sanctioned event, embodying the collaborative spirit that drives open-source innovation. Join us to explore how Iceberg is setting new standards for data lake management and help shape the next generation of data infrastructure.

Day 1: In-Person in San Francisco (April 8) Join us for the first-ever in-person Apache Iceberg Summit. Experience live workshops, technical deep-dives, face-to-face networking, and direct interaction with core maintainers and practitioners in our exhibition hall.

Day 2: Global Virtual Summit (April 9) Connect with the worldwide Iceberg community through live-streamed technical sessions, interactive Q&A, virtual exhibition booths, and topic-focused Slack channels.

Don’t miss this opportunity to be part of the definitive Apache Iceberg event of 2025. Whether you’re a seasoned practitioner or just beginning your Iceberg journey, you’ll leave with valuable insights, connections, and practical knowledge to advance your data initiatives.

Detailed information and registration can be found here : https://dataminds.be/microsoft-purview-dbt-factric-in-person-datashift/

Data Governance Meets Data Engineering: Unlocking Microsoft Purview’s Potential

Speaker: Tom Van Breuseghem

In this session, we’ll dive into the exciting possibilities of the new Microsoft Purview Portal, showcasing its advanced capabilities in data governance. From creating data catalogs and maintaining business glossaries to assigning roles like data stewards and owners, Purview sets the foundation for systematic governance, collaboration, and compliance.

But what happens when the journey demands more? We’ll explore a real-world case where Purview’s limitations in automated data lineage for Spark environments presented a challenge. To bridge this gap, we leveraged SparkLin, an open-source tool that integrates seamlessly with Purview to provide detailed, automated data lineage for Azure Synapse Spark notebooks.

Join us to learn how this powerful combination enabled one of our clients to achieve a unified data governance framework. We’ll demonstrate how Purview and SparkLin work together to ensure transparency, traceability, and efficiency in complex data environments. Whether you’re a data governance leader or an engineering enthusiast, this session will show you how data governance meets data engineering to unlock the full potential of your data landscape

We’re Migrating to Azure Fabric! But Can dbt Save Us From Notebook Overload?

Speakers: Senne Vanstraelen & Tom Van de Velde

Yay, you’re migrating to Azure Fabric! But now comes the hard part: How do you build scalable, maintainable workflows without falling into the dreaded spaghetti notebook trap? Could dbt (Data Build Tool) be the answer? Or is a hybrid approach with notebooks the sweet spot? This session dives deep into the pros and cons of both approaches, giving you the insights you need to make informed decisions for your Fabric journey.

Here’s what you’ll learn:

• Notebooks vs. dbt for Azure Fabric: When to stick with notebooks and when dbt brings the structure you need.
• Lakehouse vs. Warehouse: How dbt and Fabric fit into both models and what works best for your use case.
• Organizing your workflows: Best practices for managing notebooks, SQL scripts, and pipelines in Fabric and/or dbt.
• Lineage and testing: A comparison of what dbt offers versus Fabric’s native capabilities.
• Optimizing Fabric migrations: Tips to streamline your migration process, including a look at dbt’s role in reducing complexity.
• A live setup and demo: See how it all comes together with a hands-on example that ties concepts to real-world implementation.

This session is perfect for anyone embarking on their Azure Fabric migration journey, whether you’re a notebook loyalist, a dbt enthusiast, or just trying to find the best path forward. By the end, you’ll have a clear understanding of how these tools compare, when to use them, and how to avoid common pitfalls—all while keeping your workflows clean, scalable, and efficient. Join us to explore the possibilities—without the chaos!

Scaling Data & AI Products: Strategy, Execution & Go A One-Day Event by Thoughtworks Hosted by Amy Raygada, Principal Data and AI Strategist at Thoughtworks

🗣️ Afternoon Talks: Deep Dives into Data Strategy & Governance

2:00 - 2:45 PM \| Keynote: "Data Mesh Beyond the Hype: Why People Matter More Than Tech" – Ilya Vladimirskiy

The Data Mesh concept decentralizes data management, yet its success depends more on people and culture than technology. Ilya Vladimirskiy explores common pitfalls in implementation, such as cargo cult adoption, communication gaps, and unrealistic expectations, sharing actionable strategies to balance people and technology effectively.

3:00 - 3:45 PM \| Talk: "Data Products Need Data Contracts: Open Standards & Open Source Tooling" – Dr. Simon Harrer Data Products promise trustworthy, reusable data, but how do we enforce guarantees on quality and governance? Dr. Simon Harrer introduces Data Contracts, explaining the Open Data Contract Standard (Linux Foundation) and demonstrating how Data Contract CLI enables automatic verification. Warning: There will be YAML!

4:00 - 4:45 \| Talk: "Thriving Data and AI Ecosystems with Product Thinking for Technology Platforms" - Carsten Fritsch This session explores how Product Thinking helps create thriving data and AI ecosystems. By treating technology platforms as products — with clear value, user focus, and continuous feedback — organizations can boost adoption, improve data quality, and accelerate innovation.

5:00 - 5:45 PM \| Panel Discussion & Open Q&A (TBD) Moderated by Amy Raygada & Nicolas Averseng, this session invites all speakers to engage with the audience on Data Product adoption, governance, and execution challenges.

💡 Who Should Attend? CDOs, Heads of Data, Data Product Managers AI & Data Strategy Leaders Engineering and Governance Professionals

🕕 Full-day event This Event is part of a Full-day event. If you want to attend the Interactive Workshop in the morning, please sign up on the event page here: Scaling Data & AI Products: Interactive Masterclass

------ Code of Conduct We adhere to the Berlin Code of Conduct to ensure a welcoming and respectful environment for all participants. The event space operates under largely compatible Thoughtworks Meetups & Events CoC.

Accessibility The Location is accessible for wheelchair users. This includes the entrance (no steps to get into the location), toilets and the stage.

Send us a text Welcome to the cozy corner of the tech world where ones and zeros mingle with casual chit-chat. Data Topics Unpluggedis your go-to spot for relaxed discussions on tech, news, data, and society. This week, we’re joined by returning guest Tim Leers, who helps us navigate the ever-evolving landscape of AI regulation, open-source controversies, and the battle for the future of large language models. Expect deep dives, hot takes, and a sprinkle of existential dread as we discuss: The EU AI Act and its ripple effects – What does it actually change? And is Meta pulling back on AI development because of it?Meta’s “Frontier AI” framework – A strategic move or just regulatory camouflage?OpenAI vs. the world – From copyright drama to OpenAI accusing competitors of using its models, is this just karma in action?DeepSeek and global AI competition – Why are government agencies banning it, and is it really a game-changer?The EU’s AI investment plans – Can Europe ever catch up, or is 1.5 billion euros just a drop in the compute ocean?OpenAI’s sudden love for open source – Sam Altman says they were on the "wrong side of history." Are they really changing, or is this just another strategic pivot?OpenAI’s latest tech update – we discuss Tim’s experience with o3 and show it liveAll that, plus some existential musings on AI’s role in society, competitive dynamics between the US, EU, and China, and whether we’re all just picking our preferred bias in a world of competing LLMs. Got thoughts? Drop us a comment or question—we might even read it on the next episode!

This talk dives deep into the top AI skills that are shaping the future of the field, drawing insights from cutting-edge research, open-source contributions, industry trends, and job market analysis. From foundational proficiencies in programming, machine learning, and data wrangling to emerging specialties like AI Agents, prompt engineering, and generative AI expertise, we’ll explore what it takes to excel in 2025. Designed for AI practitioners, developers, tech leaders, students, and business professionals, this session offers actionable insights tailored to every audience. This session is your roadmap to the skills and trends that will define the next wave of AI innovation, helping you stay ahead in an ever-evolving landscape.

Pre-registration is REQUIRED. Add to your calendar - https://hubs.li/Q02_fpK70

Speaker: Sheamus McGovern\, Founder and Engineer \| ODSC He is also a software architect, data engineer, and AI expert. He started his career in finance by building stock and bond trading systems and risk assessment platforms and has worked for numerous financial institutions and quant hedge funds. Over the last decade, Sheamus has consulted with dozens of companies and startups to build leading-edge data-driven applications in finance, healthcare, eCommerce, and venture capital. He holds degrees from Northeastern University, Boston University, Harvard University, and a CQF in Quantitative Finance.

This insightful webinar is your launchpad, whether you're aiming for the comprehensive 6-week AI Bootcamp or seeking a standalone introduction to AI's core concepts. Learn about 6-week AI Bootcamp here - https://aiplus.training/pre-bootcamp/

As AI continues to transform industries and redefine roles, mastering the right skills has never been more critical for staying competitive**. This talk dives deep into the top AI skills that are shaping the future of the field, drawing insights from cutting-edge research, open-source contributions, industry trends, and job market analysis.** From foundational proficiencies in programming, machine learning, and data wrangling to emerging specialties like AI Agents, prompt engineering, and generative AI expertise, we’ll explore what it takes to excel in 2025.

Designed for AI practitioners, developers, tech leaders, students, and business professionals, this session offers actionable insights tailored to every audience. This session is your roadmap to the skills and trends that will define the next wave of AI innovation, helping you stay ahead in an ever-evolving landscape.

ODSC Links: • Get free access to more talks/trainings like this at Ai+ Training platform: https://hubs.li/H0Zycsf0 • ODSC blog: https://opendatascience.com/ • Facebook: https://www.facebook.com/OPENDATASCI • Twitter: https://twitter.com/_ODSC & @odsc • LinkedIn: https://www.linkedin.com/company/open-data-science • Slack Channel: https://hubs.li/Q02ZkDV90 • Code of conduct: https://odsc.com/code-of-conduct/

Pre-registration is REQUIRED. Add to your calendar - https://hubs.li/Q02_fpK70

Speaker: Sheamus McGovern\, Founder and Engineer \| ODSC He is also a software architect, data engineer, and AI expert. He started his career in finance by building stock and bond trading systems and risk assessment platforms and has worked for numerous financial institutions and quant hedge funds. Over the last decade, Sheamus has consulted with dozens of companies and startups to build leading-edge data-driven applications in finance, healthcare, eCommerce, and venture capital. He holds degrees from Northeastern University, Boston University, Harvard University, and a CQF in Quantitative Finance.

This insightful webinar is your launchpad, whether you're aiming for the comprehensive 6-week AI Bootcamp or seeking a standalone introduction to AI's core concepts. Learn about 6-week AI Bootcamp here - https://aiplus.training/pre-bootcamp/

As AI continues to transform industries and redefine roles, mastering the right skills has never been more critical for staying competitive**. This talk dives deep into the top AI skills that are shaping the future of the field, drawing insights from cutting-edge research, open-source contributions, industry trends, and job market analysis.** From foundational proficiencies in programming, machine learning, and data wrangling to emerging specialties like AI Agents, prompt engineering, and generative AI expertise, we’ll explore what it takes to excel in 2025.

Designed for AI practitioners, developers, tech leaders, students, and business professionals, this session offers actionable insights tailored to every audience. This session is your roadmap to the skills and trends that will define the next wave of AI innovation, helping you stay ahead in an ever-evolving landscape.

ODSC Links: • Get free access to more talks/trainings like this at Ai+ Training platform: https://hubs.li/H0Zycsf0 • ODSC blog: https://opendatascience.com/ • Facebook: https://www.facebook.com/OPENDATASCI • Twitter: https://twitter.com/_ODSC & @odsc • LinkedIn: https://www.linkedin.com/company/open-data-science • Slack Channel: https://hubs.li/Q02ZkDV90 • Code of conduct: https://odsc.com/code-of-conduct/

Pre-registration is REQUIRED. Add to your calendar - https://hubs.li/Q02_fpK70

Speaker: Sheamus McGovern\, Founder and Engineer \| ODSC He is also a software architect, data engineer, and AI expert. He started his career in finance by building stock and bond trading systems and risk assessment platforms and has worked for numerous financial institutions and quant hedge funds. Over the last decade, Sheamus has consulted with dozens of companies and startups to build leading-edge data-driven applications in finance, healthcare, eCommerce, and venture capital. He holds degrees from Northeastern University, Boston University, Harvard University, and a CQF in Quantitative Finance.

This insightful webinar is your launchpad, whether you're aiming for the comprehensive 6-week AI Bootcamp or seeking a standalone introduction to AI's core concepts. Learn about 6-week AI Bootcamp here - https://aiplus.training/pre-bootcamp/

As AI continues to transform industries and redefine roles, mastering the right skills has never been more critical for staying competitive**. This talk dives deep into the top AI skills that are shaping the future of the field, drawing insights from cutting-edge research, open-source contributions, industry trends, and job market analysis.** From foundational proficiencies in programming, machine learning, and data wrangling to emerging specialties like AI Agents, prompt engineering, and generative AI expertise, we’ll explore what it takes to excel in 2025.

Designed for AI practitioners, developers, tech leaders, students, and business professionals, this session offers actionable insights tailored to every audience. This session is your roadmap to the skills and trends that will define the next wave of AI innovation, helping you stay ahead in an ever-evolving landscape.

ODSC Links: • Get free access to more talks/trainings like this at Ai+ Training platform: https://hubs.li/H0Zycsf0 • ODSC blog: https://opendatascience.com/ • Facebook: https://www.facebook.com/OPENDATASCI • Twitter: https://twitter.com/_ODSC & @odsc • LinkedIn: https://www.linkedin.com/company/open-data-science • Slack Channel: https://hubs.li/Q02ZkDV90 • Code of conduct: https://odsc.com/code-of-conduct/

Pre-registration is REQUIRED. Add to your calendar - https://hubs.li/Q02_fpK70

Speaker: Sheamus McGovern\, Founder and Engineer \| ODSC He is also a software architect, data engineer, and AI expert. He started his career in finance by building stock and bond trading systems and risk assessment platforms and has worked for numerous financial institutions and quant hedge funds. Over the last decade, Sheamus has consulted with dozens of companies and startups to build leading-edge data-driven applications in finance, healthcare, eCommerce, and venture capital. He holds degrees from Northeastern University, Boston University, Harvard University, and a CQF in Quantitative Finance.

This insightful webinar is your launchpad, whether you're aiming for the comprehensive 6-week AI Bootcamp or seeking a standalone introduction to AI's core concepts. Learn about 6-week AI Bootcamp here - https://aiplus.training/pre-bootcamp/

As AI continues to transform industries and redefine roles, mastering the right skills has never been more critical for staying competitive**. This talk dives deep into the top AI skills that are shaping the future of the field, drawing insights from cutting-edge research, open-source contributions, industry trends, and job market analysis.** From foundational proficiencies in programming, machine learning, and data wrangling to emerging specialties like AI Agents, prompt engineering, and generative AI expertise, we’ll explore what it takes to excel in 2025.

Designed for AI practitioners, developers, tech leaders, students, and business professionals, this session offers actionable insights tailored to every audience. This session is your roadmap to the skills and trends that will define the next wave of AI innovation, helping you stay ahead in an ever-evolving landscape.

ODSC Links: • Get free access to more talks/trainings like this at Ai+ Training platform: https://hubs.li/H0Zycsf0 • ODSC blog: https://opendatascience.com/ • Facebook: https://www.facebook.com/OPENDATASCI • Twitter: https://twitter.com/_ODSC & @odsc • LinkedIn: https://www.linkedin.com/company/open-data-science • Slack Channel: https://hubs.li/Q02ZkDV90 • Code of conduct: https://odsc.com/code-of-conduct/

Pre-registration is REQUIRED. Add to your calendar - https://hubs.li/Q02_fpK70

Speaker: Sheamus McGovern\, Founder and Engineer \| ODSC He is also a software architect, data engineer, and AI expert. He started his career in finance by building stock and bond trading systems and risk assessment platforms and has worked for numerous financial institutions and quant hedge funds. Over the last decade, Sheamus has consulted with dozens of companies and startups to build leading-edge data-driven applications in finance, healthcare, eCommerce, and venture capital. He holds degrees from Northeastern University, Boston University, Harvard University, and a CQF in Quantitative Finance.

This insightful webinar is your launchpad, whether you're aiming for the comprehensive 6-week AI Bootcamp or seeking a standalone introduction to AI's core concepts. Learn about 6-week AI Bootcamp here - https://aiplus.training/pre-bootcamp/

As AI continues to transform industries and redefine roles, mastering the right skills has never been more critical for staying competitive**. This talk dives deep into the top AI skills that are shaping the future of the field, drawing insights from cutting-edge research, open-source contributions, industry trends, and job market analysis.** From foundational proficiencies in programming, machine learning, and data wrangling to emerging specialties like AI Agents, prompt engineering, and generative AI expertise, we’ll explore what it takes to excel in 2025.

Designed for AI practitioners, developers, tech leaders, students, and business professionals, this session offers actionable insights tailored to every audience. This session is your roadmap to the skills and trends that will define the next wave of AI innovation, helping you stay ahead in an ever-evolving landscape.

ODSC Links: • Get free access to more talks/trainings like this at Ai+ Training platform: https://hubs.li/H0Zycsf0 • ODSC blog: https://opendatascience.com/ • Facebook: https://www.facebook.com/OPENDATASCI • Twitter: https://twitter.com/_ODSC & @odsc • LinkedIn: https://www.linkedin.com/company/open-data-science • Slack Channel: https://hubs.li/Q02ZkDV90 • Code of conduct: https://odsc.com/code-of-conduct/

Register for the Zoom:

https://voxel51.com/computer-vision-events/ai-machine-learning-computer-vision-meetup-dec-12-2024/

How We Built CoTracker3: Simpler and Better Point Tracking by Pseudo-Labeling Real Videos

CoTracker3 is a state-of-the-art point tracking model that introduces significant improvements in tracking objects through video sequences. Its key innovations include:

• Uses semi-supervised training with real videos, reducing reliance on synthetic data1
• Generates pseudo-labels using existing tracking models as teachers1
• Features a simplified architecture compared to previous trackers

About the Speaker

Nikita Karaev is currently doing a PhD at Meta AI and Oxford, where he’s working on dynamic reconstruction and motion estimation (CoTracker) with Andrea Vedaldi and Christian Rupprecht. Before that, he did his master’s at École Polytechnique (Paris), and undergrad in cold Siberia (Novosibirsk). He was also an early employee at two startups that got acquired by Snapchat and Farfetch.

Hands-On with Meta AI's CoTracker3: Parsing and Visualizing Point Tracking Output

In this presentation, Harpreet Sahota explores CoTracker3, a state-of-the-art point tracking model that effectively leverages real-world videos during training. He dives into the practical aspects of running inference with CoTracker3 and parsing its output into FiftyOne, a powerful open-source tool for dataset curation, analysis, and visualization. Through a hands-on demonstration, Harpreet shows how to prepare a video for inference, run the model, examine its output, and parse the model’s output into FiftyOne’s keypoint format for seamless integration and visualization within the FiftyOne app.

About the Speaker

Harpreet Sahota is a hacker-in-residence and machine learning engineer with a passion for deep learning and generative AI. He’s got a deep interest in RAG, Agents, and Multimodal AI.

Streamlined Retail Product Detection with YOLOv8 and FiftyOne

In the fast-paced retail environment, automation at checkout is increasingly essential to enhance operational efficiency and improve the customer experience. This talk will demonstrate a streamlined approach to retail product detection using the Retail Product Checkout (RPC) dataset, which includes 200 SKUs across 17 meta-categories such as puffed food, dried food, and drinks. By leveraging YOLOv8, renowned for its speed and accuracy in real-time object detection, and FiftyOne, an open-source toolset for computer vision, we can simplify data loading, training, evaluation, and visualization for effective product detection and classification. Attendees will gain insights into how these tools can be applied to optimize checkout automation.

About the Speaker

Vanshika Jain is a Data Engineer Intern at UNAR Labs, a startup focused on making information accessible for the blind. She holds a Master’s degree in Machine Learning and Computer Vision from Northeastern University and is passionate about applying AI and computer vision to real-world problems, with a focus on automation and accessibility.

Register for the Zoom:

https://voxel51.com/computer-vision-events/ai-machine-learning-computer-vision-meetup-dec-12-2024/

How We Built CoTracker3: Simpler and Better Point Tracking by Pseudo-Labeling Real Videos

CoTracker3 is a state-of-the-art point tracking model that introduces significant improvements in tracking objects through video sequences. Its key innovations include:

• Uses semi-supervised training with real videos, reducing reliance on synthetic data1
• Generates pseudo-labels using existing tracking models as teachers1
• Features a simplified architecture compared to previous trackers

About the Speaker

Nikita Karaev is currently doing a PhD at Meta AI and Oxford, where he’s working on dynamic reconstruction and motion estimation (CoTracker) with Andrea Vedaldi and Christian Rupprecht. Before that, he did his master’s at École Polytechnique (Paris), and undergrad in cold Siberia (Novosibirsk). He was also an early employee at two startups that got acquired by Snapchat and Farfetch.

Hands-On with Meta AI's CoTracker3: Parsing and Visualizing Point Tracking Output

In this presentation, Harpreet Sahota explores CoTracker3, a state-of-the-art point tracking model that effectively leverages real-world videos during training. He dives into the practical aspects of running inference with CoTracker3 and parsing its output into FiftyOne, a powerful open-source tool for dataset curation, analysis, and visualization. Through a hands-on demonstration, Harpreet shows how to prepare a video for inference, run the model, examine its output, and parse the model’s output into FiftyOne’s keypoint format for seamless integration and visualization within the FiftyOne app.

About the Speaker

Harpreet Sahota is a hacker-in-residence and machine learning engineer with a passion for deep learning and generative AI. He’s got a deep interest in RAG, Agents, and Multimodal AI.

Streamlined Retail Product Detection with YOLOv8 and FiftyOne

In the fast-paced retail environment, automation at checkout is increasingly essential to enhance operational efficiency and improve the customer experience.

This talk will demonstrate a streamlined approach to retail product detection using the Retail Product Checkout (RPC) dataset, which includes 200 SKUs across 17 meta-categories such as puffed food, dried food, and drinks.

By leveraging YOLOv8, renowned for its speed and accuracy in real-time object detection, and FiftyOne, an open-source toolset for computer vision, we can simplify data loading, training, evaluation, and visualization for effective product detection and classification. Attendees will gain insights into how these tools can be applied to optimize checkout automation.

About the Speaker

Vanshika Jain is a Data Engineer Intern at UNAR Labs, a startup focused on making information accessible for the blind. She holds a Master’s degree in Machine Learning and Computer Vision from Northeastern University and is passionate about applying AI and computer vision to real-world problems, with a focus on automation and accessibility.

Register for the Zoom:

https://voxel51.com/computer-vision-events/ai-machine-learning-computer-vision-meetup-dec-12-2024/

How We Built CoTracker3: Simpler and Better Point Tracking by Pseudo-Labeling Real Videos

CoTracker3 is a state-of-the-art point tracking model that introduces significant improvements in tracking objects through video sequences. Its key innovations include:

• Uses semi-supervised training with real videos, reducing reliance on synthetic data1
• Generates pseudo-labels using existing tracking models as teachers1
• Features a simplified architecture compared to previous trackers

About the Speaker

Nikita Karaev is currently doing a PhD at Meta AI and Oxford, where he’s working on dynamic reconstruction and motion estimation (CoTracker) with Andrea Vedaldi and Christian Rupprecht. Before that, he did his master’s at École Polytechnique (Paris), and undergrad in cold Siberia (Novosibirsk). He was also an early employee at two startups that got acquired by Snapchat and Farfetch.

Hands-On with Meta AI's CoTracker3: Parsing and Visualizing Point Tracking Output

In this presentation, Harpreet Sahota explores CoTracker3, a state-of-the-art point tracking model that effectively leverages real-world videos during training. He dives into the practical aspects of running inference with CoTracker3 and parsing its output into FiftyOne, a powerful open-source tool for dataset curation, analysis, and visualization. Through a hands-on demonstration, Harpreet shows how to prepare a video for inference, run the model, examine its output, and parse the model’s output into FiftyOne’s keypoint format for seamless integration and visualization within the FiftyOne app.

About the Speaker

Harpreet Sahota is a hacker-in-residence and machine learning engineer with a passion for deep learning and generative AI. He’s got a deep interest in RAG, Agents, and Multimodal AI.

Streamlined Retail Product Detection with YOLOv8 and FiftyOne

In the fast-paced retail environment, automation at checkout is increasingly essential to enhance operational efficiency and improve the customer experience.

This talk will demonstrate a streamlined approach to retail product detection using the Retail Product Checkout (RPC) dataset, which includes 200 SKUs across 17 meta-categories such as puffed food, dried food, and drinks.

By leveraging YOLOv8, renowned for its speed and accuracy in real-time object detection, and FiftyOne, an open-source toolset for computer vision, we can simplify data loading, training, evaluation, and visualization for effective product detection and classification. Attendees will gain insights into how these tools can be applied to optimize checkout automation.

About the Speaker

Vanshika Jain is a Data Engineer Intern at UNAR Labs, a startup focused on making information accessible for the blind. She holds a Master’s degree in Machine Learning and Computer Vision from Northeastern University and is passionate about applying AI and computer vision to real-world problems, with a focus on automation and accessibility.