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People (32 results)
See all 32 →Activities & events
| Title & Speakers | Event |
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Introduction to Generative AI: in-person, central London, full day
2026-01-26 · 10:00
This is an in-person full day event. It is a beginner level course to get people started in using AI assistants like Copilot and ChatGPT effectively and understand how when and where they can be useful. We will work on hands-on guided exercises. In the morning, we’ll learn how to use our AI tools to:
In the afternoon, we’ll explore the AI assistant’s full capabilities to:
You'll need to bring a fully-charged laptop. No previous knowledge or experience of Generative AI is required. |
Introduction to Generative AI: in-person, central London, full day
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January 2026 - M365 Security & Compliance User Group
2026-01-21 · 18:00
Hey everyone, hope you can join us for this user group. We will kick off with a rundown of the latest Microsoft security news, then have two awesome speaker sessions, ending with prizes and giveaways. Wednesday 21st January 2026 Times below in UTC/UK.
*** Please note that sessions are NOT recorded. *** |
January 2026 - M365 Security & Compliance User Group
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Vibe Coding für Agile Coaches – Wenn KI mehr kann als nur chatten
2026-01-15 · 17:00
Liebe Agile Co-Learning Community, ihr kennt uns vielleicht noch von den regelmäßigen Co-Learning-Sessions. Die Gruppe war eine Weile still – aber das Thema Vibe Coding hat uns so gepackt, dass wir es mit euch teilen wollen. Vielleicht der Anfang von etwas Neuem? Viele von euch nutzen bereits ChatGPT oder andere KI-Tools im Alltag: für Texte, Zusammenfassungen, Ideen. Aber habt ihr schon mal erlebt, wie es ist, wenn die KI nicht nur antwortet, sondern für euch baut? Vibe Coding bedeutet: Du beschreibst in natürlicher Sprache, was du brauchst – und die KI erstellt funktionierenden Code. Keine Programmierkenntnisse nötig. Du "vibst" mit der KI, bis das Ergebnis passt. Was hat das mit Agile Coaching zu tun? Mehr als man denkt. Stellt euch vor:
Nicht um euch zu ersetzen – sondern um mehr Zeit für das zu haben, was zählt: die Arbeit mit Menschen. Der Workshop Zusammen mit meinem erfahrenen Kollegen Sebastian möchte ich euch in einem kostenlosen Online-Workshop zeigen, was mit Vibe Coding möglich ist. Wir bringen konkrete Use Cases mit, probieren gemeinsam aus und sind neugierig auf eure Ideen. Das Ganze im Co-Learning-Spirit: Kein Frontalunterricht, sondern Austausch auf Augenhöhe. Für wen ist das? Für alle, die neugierig sind – egal ob erfahrene Agile Coaches, Scrum Master, Produktmenschen oder einfach Interessierte. Programmierkenntnisse brauchst du keine. Das Meetup findet über Zoom statt und ist kostenlos. Anmeldung wie gewohnt direkt hier. Wir freuen uns, wenn ihr dabei seid – und wenn diese Gruppe wieder ein bisschen lebendiger wird. Benjamin und Sebastian |
Vibe Coding für Agile Coaches – Wenn KI mehr kann als nur chatten
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Building LLM applications with Python
2026-01-05 · 18:00
Overview Students, developers, and anyone interested in getting started with theory and practice on building LLM-based applications with Python. Who is this for? Undeniably, large language models (LLMs) are at the centre of a modern gold-rush in technology. Students, developers, and anyone interested in getting started with theory and practice on building LLM-based applications with Python. Who is leading the session? The session is led by Dr. Stelios Sotiriadis, CEO of Warestack, Associate Professor and MSc Programme Director at Birkbeck, University of London. His expertise includes cloud computing, distributed systems, and AI engineering. Stelios holds a PhD from the University of Derby, completed a postdoctoral fellowship at the University of Toronto, and has worked with Huawei, IBM, Autodesk, and several startups. Since 2018 he has taught at Birkbeck and, in 2021, founded Warestack, building software for startups globally. What we’ll cover A practical introduction on the basics of local models and cloud APIs to build real software systems. You will learn:
Requirements
This space is needed for running local models. You may also use the lab computers if your device doesn’t meet the requirements. Format A 1.5-hours live session including:
The session will run in person, with streaming available for remote attendees. Prerequisites You should be comfortable writing Python scripts (basic to intermediate level). |
Building LLM applications with Python
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AnalyticsCLUB JobExpo Virtual Business, Data & Technology Job Expo
2026-01-02 · 16:00
What is FirstFridayFair Monthly Job Fair? FirstFridayFair Monthly Job Fair is a global virtual job fair and remote hiring event hosted by the Analytics.CLUB community. This online job fair platform brings together professionals, employers, recruiters, and career coaches for an immersive, self-managed career networking experience. 🎥 New to FirstFridayFair? Watch our explainer video here: https://youtu.be/NlLaCfOjosk Where and When? 📍 Online at https://events.tao.ai/pod/analytics.club/6j382kbpcnvd/source--me 🗓 First Friday of the month ⏰ 11:00 AM - 2:00 PM (Local Time Zone) 🌍 Open to participants globally 🌍 Who should join?
💬 Where does the event take place? This interactive event is hosted on a Slack-like community chat platform, making it easy to join from anywhere and interact in real-time group chats and 1-1 video or text conversations. 🚀 What can you do at the event? Attendees can explore several themed Slack job fair channels designed for job networking, peer-to-peer support, and industry discussions:
Additionally, attendees can engage in:
❓ Why join FirstFridayFair Monthly Job Fair?
Have Questions or Suggestions? We’d love to help: https://noworkerleftbehind.org/event_support |
AnalyticsCLUB JobExpo Virtual Business, Data & Technology Job Expo
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AnalyticsCLUB JobExpo Virtual Business, Data & Technology Job Expo
2026-01-02 · 16:00
What is FirstFridayFair Monthly Job Fair? FirstFridayFair Monthly Job Fair is a global virtual job fair and remote hiring event hosted by the Analytics.CLUB community. This online job fair platform brings together professionals, employers, recruiters, and career coaches for an immersive, self-managed career networking experience. 🎥 New to FirstFridayFair? Watch our explainer video here: https://youtu.be/NlLaCfOjosk Where and When? 📍 Online at https://events.tao.ai/pod/analytics.club/6j382kbpcnvd/source--me 🗓 First Friday of the month ⏰ 11:00 AM - 2:00 PM (Local Time Zone) 🌍 Open to participants globally 🌍 Who should join?
💬 Where does the event take place? This interactive event is hosted on a Slack-like community chat platform, making it easy to join from anywhere and interact in real-time group chats and 1-1 video or text conversations. 🚀 What can you do at the event? Attendees can explore several themed Slack job fair channels designed for job networking, peer-to-peer support, and industry discussions:
Additionally, attendees can engage in:
❓ Why join FirstFridayFair Monthly Job Fair?
Have Questions or Suggestions? We’d love to help: https://noworkerleftbehind.org/event_support |
AnalyticsCLUB JobExpo Virtual Business, Data & Technology Job Expo
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Making Humanitarian Data AI‑Ready: Inside UN OCHA’s New Guidance Project
2025-12-22 · 14:00
This two-part discussion series will explore how to make humanitarian spreadsheets more “AI-ready,” bringing together UN OCHA’s new guidance project with real-world lessons from recent AI spreadsheet extraction experiments. UN OCHA is developing a short, practical guide to help humanitarian teams publish “AI-ready” public datasets that work better with tools like ChatGPT, Copilot, Gemini and open source models like Kimi K2 and GPT OSS running on providers like Groq when users simply upload a CSV or Excel file and start asking questions. The focus is on non-technical users who will not configure agents, write code, or reverse-engineer cryptic column names, but instead expect the AI to correctly interpret the file structure and labels out of the box. By recommending clear naming, consistent tabular layouts, and lightweight documentation, the guidance aims to reduce misinterpretation, hallucinations, and broken analyses when consumer AI tools encounter real-world humanitarian data. Jan Zheng, a Developer Relations Engineer at Groq who helps people design and build AI prototypes, is exploring exactly these challenges from the model and tooling side. His recent experiments with spreadsheet extraction show that messy, multi-table spreadsheets routinely confuse even advanced models and agent frameworks, leading to unreliable extraction, off‑by‑one errors, looping agents, and high costs. These problems are amplified when complex datasets or vast amounts data are processed by non-technical users of commercial AI tools and open models. Lessons learned through research and usage can inform UN OCHA guidance by clarifying which spreadsheet patterns break current AI tools, which structures make extraction more robust, and how to balance “ideal” AI-ready formats with the messy realities of operational humanitarian spreadsheets. Over two separate meetup discussions, staff from UN OCHA will introduce the AI‑ready data project in more detail, walk through the specific use case they are targeting, and answer questions from participants about scope, constraints, and potential applications in humanitarian settings. These sessions are designed to surface real-world experiences from practitioners who publish, manage, or use open humanitarian data, and to gather concrete examples of what works and what breaks when datasets are run through consumer AI tools and open source tools running through providers like Groq. On a following date, Jan will join a dedicated session to react to the project, share his experimental findings on spreadsheet extraction, and discuss how infrastructure choices such as model selection, speed, and prompting strategies interact with the way humanitarian data is structured and published. His perspective will help bridge the gap between guidance aimed at data publishers and the realities of building and tuning AI systems that can reliably interpret messy, real-world spreadsheets used across the humanitarian sector. |
Making Humanitarian Data AI‑Ready: Inside UN OCHA’s New Guidance Project
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Making Humanitarian Data AI‑Ready: Inside UN OCHA’s New Guidance Project
2025-12-22 · 14:00
This two-part discussion series will explore how to make humanitarian spreadsheets more “AI-ready,” bringing together UN OCHA’s new guidance project with real-world lessons from recent AI spreadsheet extraction experiments. UN OCHA is developing a short, practical guide to help humanitarian teams publish “AI-ready” public datasets that work better with tools like ChatGPT, Copilot, Gemini and open source models like Kimi K2 and GPT OSS running on providers like Groq when users simply upload a CSV or Excel file and start asking questions. The focus is on non-technical users who will not configure agents, write code, or reverse-engineer cryptic column names, but instead expect the AI to correctly interpret the file structure and labels out of the box. By recommending clear naming, consistent tabular layouts, and lightweight documentation, the guidance aims to reduce misinterpretation, hallucinations, and broken analyses when consumer AI tools encounter real-world humanitarian data. Jan Zheng, a Developer Relations Engineer at Groq who helps people design and build AI prototypes, is exploring exactly these challenges from the model and tooling side. His recent experiments with spreadsheet extraction show that messy, multi-table spreadsheets routinely confuse even advanced models and agent frameworks, leading to unreliable extraction, off‑by‑one errors, looping agents, and high costs. These problems are amplified when complex datasets or vast amounts data are processed by non-technical users of commercial AI tools and open models. Lessons learned through research and usage can inform UN OCHA guidance by clarifying which spreadsheet patterns break current AI tools, which structures make extraction more robust, and how to balance “ideal” AI-ready formats with the messy realities of operational humanitarian spreadsheets. Over two separate meetup discussions, staff from UN OCHA will introduce the AI‑ready data project in more detail, walk through the specific use case they are targeting, and answer questions from participants about scope, constraints, and potential applications in humanitarian settings. These sessions are designed to surface real-world experiences from practitioners who publish, manage, or use open humanitarian data, and to gather concrete examples of what works and what breaks when datasets are run through consumer AI tools and open source tools running through providers like Groq. On a following date, Jan will join a dedicated session to react to the project, share his experimental findings on spreadsheet extraction, and discuss how infrastructure choices such as model selection, speed, and prompting strategies interact with the way humanitarian data is structured and published. His perspective will help bridge the gap between guidance aimed at data publishers and the realities of building and tuning AI systems that can reliably interpret messy, real-world spreadsheets used across the humanitarian sector. |
Making Humanitarian Data AI‑Ready: Inside UN OCHA’s New Guidance Project
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Making Humanitarian Data AI‑Ready: Inside UN OCHA’s New Guidance Project
2025-12-22 · 14:00
This two-part discussion series will explore how to make humanitarian spreadsheets more “AI-ready,” bringing together UN OCHA’s new guidance project with real-world lessons from recent AI spreadsheet extraction experiments. UN OCHA is developing a short, practical guide to help humanitarian teams publish “AI-ready” public datasets that work better with tools like ChatGPT, Copilot, Gemini and open source models like Kimi K2 and GPT OSS running on providers like Groq when users simply upload a CSV or Excel file and start asking questions. The focus is on non-technical users who will not configure agents, write code, or reverse-engineer cryptic column names, but instead expect the AI to correctly interpret the file structure and labels out of the box. By recommending clear naming, consistent tabular layouts, and lightweight documentation, the guidance aims to reduce misinterpretation, hallucinations, and broken analyses when consumer AI tools encounter real-world humanitarian data. Jan Zheng, a Developer Relations Engineer at Groq who helps people design and build AI prototypes, is exploring exactly these challenges from the model and tooling side. His recent experiments with spreadsheet extraction show that messy, multi-table spreadsheets routinely confuse even advanced models and agent frameworks, leading to unreliable extraction, off‑by‑one errors, looping agents, and high costs. These problems are amplified when complex datasets or vast amounts data are processed by non-technical users of commercial AI tools and open models. Lessons learned through research and usage can inform UN OCHA guidance by clarifying which spreadsheet patterns break current AI tools, which structures make extraction more robust, and how to balance “ideal” AI-ready formats with the messy realities of operational humanitarian spreadsheets. Over two separate meetup discussions, staff from UN OCHA will introduce the AI‑ready data project in more detail, walk through the specific use case they are targeting, and answer questions from participants about scope, constraints, and potential applications in humanitarian settings. These sessions are designed to surface real-world experiences from practitioners who publish, manage, or use open humanitarian data, and to gather concrete examples of what works and what breaks when datasets are run through consumer AI tools and open source tools running through providers like Groq. On a following date, Jan will join a dedicated session to react to the project, share his experimental findings on spreadsheet extraction, and discuss how infrastructure choices such as model selection, speed, and prompting strategies interact with the way humanitarian data is structured and published. His perspective will help bridge the gap between guidance aimed at data publishers and the realities of building and tuning AI systems that can reliably interpret messy, real-world spreadsheets used across the humanitarian sector. |
Making Humanitarian Data AI‑Ready: Inside UN OCHA’s New Guidance Project
|
|
Making Humanitarian Data AI‑Ready: Inside UN OCHA’s New Guidance Project
2025-12-22 · 14:00
This two-part discussion series will explore how to make humanitarian spreadsheets more “AI-ready,” bringing together UN OCHA’s new guidance project with real-world lessons from recent AI spreadsheet extraction experiments. UN OCHA is developing a short, practical guide to help humanitarian teams publish “AI-ready” public datasets that work better with tools like ChatGPT, Copilot, Gemini and open source models like Kimi K2 and GPT OSS running on providers like Groq when users simply upload a CSV or Excel file and start asking questions. The focus is on non-technical users who will not configure agents, write code, or reverse-engineer cryptic column names, but instead expect the AI to correctly interpret the file structure and labels out of the box. By recommending clear naming, consistent tabular layouts, and lightweight documentation, the guidance aims to reduce misinterpretation, hallucinations, and broken analyses when consumer AI tools encounter real-world humanitarian data. Jan Zheng, a Developer Relations Engineer at Groq who helps people design and build AI prototypes, is exploring exactly these challenges from the model and tooling side. His recent experiments with spreadsheet extraction show that messy, multi-table spreadsheets routinely confuse even advanced models and agent frameworks, leading to unreliable extraction, off‑by‑one errors, looping agents, and high costs. These problems are amplified when complex datasets or vast amounts data are processed by non-technical users of commercial AI tools and open models. Lessons learned through research and usage can inform UN OCHA guidance by clarifying which spreadsheet patterns break current AI tools, which structures make extraction more robust, and how to balance “ideal” AI-ready formats with the messy realities of operational humanitarian spreadsheets. Over two separate meetup discussions, staff from UN OCHA will introduce the AI‑ready data project in more detail, walk through the specific use case they are targeting, and answer questions from participants about scope, constraints, and potential applications in humanitarian settings. These sessions are designed to surface real-world experiences from practitioners who publish, manage, or use open humanitarian data, and to gather concrete examples of what works and what breaks when datasets are run through consumer AI tools and open source tools running through providers like Groq. On a following date, Jan will join a dedicated session to react to the project, share his experimental findings on spreadsheet extraction, and discuss how infrastructure choices such as model selection, speed, and prompting strategies interact with the way humanitarian data is structured and published. His perspective will help bridge the gap between guidance aimed at data publishers and the realities of building and tuning AI systems that can reliably interpret messy, real-world spreadsheets used across the humanitarian sector. |
Making Humanitarian Data AI‑Ready: Inside UN OCHA’s New Guidance Project
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Comprenez l'IA à travers vos propres question !
2025-12-16 · 17:30
Comprenez l'IA à travers vos propres question ! L'IA est partout... mais qui la comprend vraiment ? Entre ChatGPT, machine learning, deep learning, IA générative, RAG, modèles de langage ou IA locale, difficile d’y voir clair. Tout le monde en parle, mais peu savent ce que c’est réellement. La bonne nouvelle ? Vous n'êtes pas seul ! Cette rencontre vous propose une expérience unique : comprendre l’intelligence artificielle à travers vos propres questions. Rejoignez-nous pour enfin y voir clair dans le monde de l’intelligence artificielle : https://buy.stripe.com/28EaEW6QLgKIeRdaNncfK00 📅 Mardi 16 décembre 2025 🕡 18h30 – 20h00 📍 74 rue Mademoiselle, Paris 15e 🎟️ 20 places – 15 € 🎙️ Au programme - plutôt qu’une conférence classique, cette soirée sera interactive et participative : 1. Vous posez vos questions à votre arrivée (dans une “boîte anonyme à questions IA”) ou au moment de passer votre commande. 2. Nous les explorons ensemble : comment les IA apprennent\, comment fonctionnent les LLMs\, quelles sont leurs limites… 3. Démonstrations en direct avec des outils no-code pour voir une IA “apprendre” sous vos yeux. 3. Discussion collective : qu’est-ce que l’intelligence ? pourquoi n’y a-t-il pas de définition unique de l’IA ? 4. Conclusion : pourquoi apprendre à “parler IA” est devenu indispensable. 🎓Vous repartirez avec : ✅ Une vision claire de ce qu’est (et n’est pas) l’intelligence artificielle. ✅ Les clés pour décoder les technologies dont tout le monde parle. ✅ Et, surtout, l’envie d’aller plus loin 👤Animé par : Camilo Rodriguez, fondateur de Machine Learning Lab, formateur et vulgarisateur en IA depuis 2018. "J’aide les professionnels, dirigeants et curieux à comprendre, maîtriser et activer le potentiel de l’intelligence artificielle — sans jargon et sans code". Rejoignez-nous pour enfin y voir clair dans le monde de l’intelligence artificielle : https://buy.stripe.com/28EaEW6QLgKIeRdaNncfK00 |
Comprenez l'IA à travers vos propres question !
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Comprenez l'IA à travers vos propres question !
2025-12-16 · 17:30
Comprenez l'IA à travers vos propres question ! L'IA est partout... mais qui la comprend vraiment ? Entre ChatGPT, machine learning, deep learning, IA générative, RAG, modèles de langage ou IA locale, difficile d’y voir clair. Tout le monde en parle, mais peu savent ce que c’est réellement. La bonne nouvelle ? Vous n'êtes pas seul ! Cette rencontre vous propose une expérience unique : comprendre l’intelligence artificielle à travers vos propres questions. Rejoignez-nous pour enfin y voir clair dans le monde de l’intelligence artificielle : https://buy.stripe.com/28EaEW6QLgKIeRdaNncfK00 📅 Mardi 16 décembre 2025 🕡 18h30 – 20h00 📍 74 rue Mademoiselle, Paris 15e 🎟️ 20 places – 15 € 🎙️ Au programme - plutôt qu’une conférence classique, cette soirée sera interactive et participative : 1. Vous posez vos questions à votre arrivée (dans une “boîte anonyme à questions IA”) ou au moment de passer votre commande. 2. Nous les explorons ensemble : comment les IA apprennent\, comment fonctionnent les LLMs\, quelles sont leurs limites… 3. Démonstrations en direct avec des outils no-code pour voir une IA “apprendre” sous vos yeux. 3. Discussion collective : qu’est-ce que l’intelligence ? pourquoi n’y a-t-il pas de définition unique de l’IA ? 4. Conclusion : pourquoi apprendre à “parler IA” est devenu indispensable. 🎓Vous repartirez avec : ✅ Une vision claire de ce qu’est (et n’est pas) l’intelligence artificielle. ✅ Les clés pour décoder les technologies dont tout le monde parle. ✅ Et, surtout, l’envie d’aller plus loin 👤Animé par : Camilo Rodriguez, fondateur de Machine Learning Lab, formateur et vulgarisateur en IA depuis 2018. "J’aide les professionnels, dirigeants et curieux à comprendre, maîtriser et activer le potentiel de l’intelligence artificielle — sans jargon et sans code". Rejoignez-nous pour enfin y voir clair dans le monde de l’intelligence artificielle : https://buy.stripe.com/28EaEW6QLgKIeRdaNncfK00 |
Comprenez l'IA à travers vos propres question !
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Table ronde témoignages alumni
2025-12-16 · 16:00
Découvrez leurs parcours et posez-leurs vos questions. |
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Atelier gratuit : Au-delà de ChatGPT : 3 façons d’utiliser l’IA qui changent la donne
2025-12-16 · 14:45
Atelier gratuit sur 3 façons d’utiliser l’IA qui changent la donne, au-delà de ChatGPT. |
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Présentation du Wagon, des formations et des financements
2025-12-16 · 14:00
Identifiez le programme adapté à votre projet, et explorez les possibilités de financement. |
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Desbloqueando el futuro: Innovaciones IA y mejoras en SQL Server 2025
2025-12-10 · 16:00
Únete a nosotros para una introducción dinámica a SQL Server 2025, la base de datos empresarial preparada para IA que combina la confiabilidad local con la inteligencia a escala en la nube. En esta sesión, comenzaremos con una visión general del desarrollo de SQL Server y profundizaremos en las innovadoras funciones anunciadas en la reciente versión preliminar, incluyendo: - Tipos de datos vectoriales nativos y búsqueda para una integración fluida con IA. - Llamadas directas T-SQL a servicios externos de IA como ChatGPT mediante sp_invoke_external_rest_endpoint. - Herramientas mejoradas para desarrolladores\, como la integración con GitHub Copilot en Visual Studio Code. Explora mejoras de rendimiento como Optimized Locking (inspirado en Azure SQL), soporte nativo para JSON y transmisión de eventos en tiempo real con Fabric Mirroring para cargas de trabajo híbridas, entre otras increíbles mejoras. ¡Trae tus preguntas! |
Desbloqueando el futuro: Innovaciones IA y mejoras en SQL Server 2025
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A Practical Starter's Guide to building LLM based projects | Marcin S. | DSC DACH 25
2025-12-10 · 15:28
In his tech tutorial, Marcin showed how to go beyond creating prompts for ChatGPT and build full applications leveraging generative AI. He covered the fundamentals of large language models (LLMs), introduced LangChain, and demonstrated techniques like question answering over documents and creating reasoning agents. The session also addressed advanced methods and practical challenges of deploying LLMs in production. By the end, participants with Python experience gained hands-on knowledge to develop GPT-driven applications while understanding potential pitfalls and limitations. This tutorial by Marcin Szymaniuk was held on October 14th at DSC DACH 25 in Vienna. Follow us on social media : LinkedIn: https://www.linkedin.com/company/11184830/admin/ Instagram: https://www.instagram.com/datasciconf/ Facebook page: https://www.facebook.com/DataSciConference Website: https://datasciconference.com/ |
DSC DACH 25 |
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Desbloqueando el futuro: Innovaciones IA y mejoras en SQL Server 2025
2025-12-10 · 15:00
Únete a nosotros para una introducción dinámica a SQL Server 2025, la base de datos empresarial preparada para IA que combina la confiabilidad local con la inteligencia a escala en la nube. En esta sesión, comenzaremos con una visión general del desarrollo de SQL Server y profundizaremos en las innovadoras funciones anunciadas en la reciente versión preliminar, incluyendo: - Tipos de datos vectoriales nativos y búsqueda para una integración fluida con IA. - Llamadas directas T-SQL a servicios externos de IA como ChatGPT mediante sp_invoke_external_rest_endpoint. - Herramientas mejoradas para desarrolladores\, como la integración con GitHub Copilot en Visual Studio Code. Explora mejoras de rendimiento como Optimized Locking (inspirado en Azure SQL), soporte nativo para JSON y transmisión de eventos en tiempo real con Fabric Mirroring para cargas de trabajo híbridas, entre otras increíbles mejoras. ¡Trae tus preguntas! |
Desbloqueando el futuro: Innovaciones IA y mejoras en SQL Server 2025
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PyData at BeSecure 2025
2025-12-08 · 08:30
As community partner we are inviting you to sign up for BeSecure Community Stage - a joint initiative of many technical communities in 3city! *Some of the talks are in Polish others in English. 📍 Where: Amber Expo, Gdańsk 📅 When: 8 grudnia 2025 📝 Registration: https://codeme.pl/besecure/ Events cooperating: Hackerspace Trójmiasto, TJUG, PyGda, PyData, Gdańsk Embedded Meetup, TRUG, Golang Trójmiasto, MLGdańsk, WordUp Gdynia, Nerds Coding Gang. 👉Admission to the Community Stage is free; simply complete the registration form. This is made available by exploring different perspectives and presenting lectures from the local community on topics ranging from hardware and systems, through backend, to Python, data science, and machine learning. Community Stage Agenda09:30–09:45 – Official opening 🇵🇱 09:50–10:20 – Maciej Wierzbowski 🇵🇱 Prywatność pod lupą: Hacking WiFi i Bluetooth w praktyce 10:25–10:45 – Wojciech Kargul 🇬🇧 Cloudflare Outage: The Day Rust Broke the Internet 10:45–11:00 – Coffee break ☕ 11:00–11:50 – Adam Bien 🇬🇧 Shared responsibility or beyond the firewall? Cloud security for Enterprise Java Developers 11:50–12:20 – Dorota Kozłowska 🇬🇧 Social engineering for Covert Access Engagements 12:20-12:35 – Coffee break ☕ 12:35–13:15 – Przemysław Michalak 🇵🇱 Podstawy hackowania sprzętu 13:20–13:55 – Jakub Rachoń 🇵🇱 Java: czy WORA wciąż aktualna? 14:00–15:00 – Lunch 🍽️ 15:00–15:30 – Mateusz Bełczowski 🇵🇱 Przegląd zagrożeń w ekosystemie Pythona 15:35–16:25 – Łukasz Langa 🇬🇧 Permacomputing and Python 16:30–16:45 – Coffee break ☕ 16:45–17:00 – Lightning Talks – Yet open to anyone 🇵🇱/🇬🇧 17:00–18:00 – Lightning Talks (continuation) 🇵🇱/🇬🇧 *** Other stages at BeSecure (getting extended ticket required):
Use 25% discount code PyData_BeSecure-25% As community partner we still have a few free admissions codes for other stages for you - PM us! 🎟️ Tickets and more details: https://codeme.pl/besecure/ |
PyData at BeSecure 2025
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AnalyticsCLUB JobExpo Virtual Business, Data & Technology Job Expo
2025-12-05 · 16:00
What is FirstFridayFair Monthly Job Fair? FirstFridayFair Monthly Job Fair is a global virtual job fair and remote hiring event hosted by the Analytics.CLUB community. This online job fair platform brings together professionals, employers, recruiters, and career coaches for an immersive, self-managed career networking experience. 🎥 New to FirstFridayFair? Watch our explainer video here: https://youtu.be/NlLaCfOjosk Where and When? 📍 Online at https://events.tao.ai/pod/analytics.club/6j382kbpcnvd/source--me 🗓 First Friday of the month ⏰ 11:00 AM - 2:00 PM (Local Time Zone) 🌍 Open to participants globally 🌍 Who should join?
💬 Where does the event take place? This interactive event is hosted on a Slack-like community chat platform, making it easy to join from anywhere and interact in real-time group chats and 1-1 video or text conversations. 🚀 What can you do at the event? Attendees can explore several themed Slack job fair channels designed for job networking, peer-to-peer support, and industry discussions:
Additionally, attendees can engage in:
❓ Why join FirstFridayFair Monthly Job Fair?
Have Questions or Suggestions? We’d love to help: https://noworkerleftbehind.org/event_support |
AnalyticsCLUB JobExpo Virtual Business, Data & Technology Job Expo
|