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See all 6 →Activities & events
| Title & Speakers | Event |
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The State of Airflow 2026: London Airflow Meetup!
2026-01-28 · 17:30
Join fellow Airflow enthusiasts and leaders at Salisbury House for an evening of engaging talks, great food and drinks, and exclusive swag! We'll start you off with a deep dive into the Airflow 2026 survey results, and finish off with a community member presentation on the Apache TinkerPop provider. PRESENTATIONS Talk #1: The State of Apache Airflow® 2026 Apache Airflow® continues to thrive as the world’s leading open-source data orchestration platform, with 30M downloads per month and over 3k contributors. 2025 marked a major milestone with the release of Airflow 3, which introduced DAG versioning, enhanced security and task isolation, assets, and more. These changes have reshaped how data teams build, operate, and govern their pipelines. In this session, our speaker will share insights from the State of Airflow 2026 report, including:
Join us to hear directly from a leader in the community and discover how to get the most out of Airflow in the year ahead. Talk #2: Building the Apache TinkerPop Provider for Airflow
Graph databases are powering everything from recommendation engines to fraud detection, but integrating graph operations into modern data pipelines has often required custom code and workarounds. Earlier this year, Ahmad built a new Apache TinkerPop provider for Airflow, making it easier than ever to orchestrate Gremlin queries, manage graph workloads, and connect Airflow to TinkerPop-enabled systems. In this session, you’ll learn:
Join us to explore how Airflow and TinkerPop can work together to streamline graph workflows and unlock new patterns in modern data pipelines. AGENDA
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The State of Airflow 2026: London Airflow Meetup!
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WEBINAR "AI Career Transition Strategy"
2026-01-13 · 17:00
Pre-Registration is REQUIRED. RSVP here - https://hubs.li/Q03Y6Txy0 Speaker: Sheamus McGovern\, Founder of ODSC AI \| Venture Partner/Head of AI at Cortical Ventures The age of AI is here, and it’s reshaping nearly every professional role. Are you a mid-career professional in data, analytics, software, or management wondering how your job will evolve—or how to proactively position yourself for the next phase of your career? This session is designed to cut through the hype and provide clear, actionable insights on adapting your professional path in an AI-enhanced workplace. You will gain a strategic overview of the skills, mindsets, and concrete steps needed to remain relevant and advance your career over the next 1–3 years. What You Will Learn: **- The New Role Landscape:** Understand how AI is specifically reshaping roles in data, software, and technical leadership—and identify emerging, AI-centric job categories. **- The 2025–2027 Skill Priority Checklist:** Gain clarity on the essential technical and non-technical skills you need to prioritize for advancement. **- Your Actionable Next Steps:** Learn the key components of building a personal roadmap to reposition your career for success in an AI-driven environment. **- What Leaders Value:** Get a sneak peek into the insights hiring managers and senior practitioners value most in AI-aligned portfolios and career narratives. Don't just react to change—define your future. Reserve your spot now for the essential guidance you need to secure your professional edge. Useful Links
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WEBINAR "AI Career Transition Strategy"
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WEBINAR "AI Career Transition Strategy"
2026-01-13 · 17:00
Pre-Registration is REQUIRED. RSVP here - https://hubs.li/Q03Y6Txy0 Speaker: Sheamus McGovern\, Founder of ODSC AI \| Venture Partner/Head of AI at Cortical Ventures The age of AI is here, and it’s reshaping nearly every professional role. Are you a mid-career professional in data, analytics, software, or management wondering how your job will evolve—or how to proactively position yourself for the next phase of your career? This session is designed to cut through the hype and provide clear, actionable insights on adapting your professional path in an AI-enhanced workplace. You will gain a strategic overview of the skills, mindsets, and concrete steps needed to remain relevant and advance your career over the next 1–3 years. What You Will Learn: **- The New Role Landscape:** Understand how AI is specifically reshaping roles in data, software, and technical leadership—and identify emerging, AI-centric job categories. **- The 2025–2027 Skill Priority Checklist:** Gain clarity on the essential technical and non-technical skills you need to prioritize for advancement. **- Your Actionable Next Steps:** Learn the key components of building a personal roadmap to reposition your career for success in an AI-driven environment. **- What Leaders Value:** Get a sneak peek into the insights hiring managers and senior practitioners value most in AI-aligned portfolios and career narratives. Don't just react to change—define your future. Reserve your spot now for the essential guidance you need to secure your professional edge. Useful Links
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WEBINAR "AI Career Transition Strategy"
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WEBINAR "AI Career Transition Strategy"
2026-01-13 · 17:00
Pre-Registration is REQUIRED. RSVP here - https://hubs.li/Q03Y6Txy0 Speaker: Sheamus McGovern\, Founder of ODSC AI \| Venture Partner/Head of AI at Cortical Ventures The age of AI is here, and it’s reshaping nearly every professional role. Are you a mid-career professional in data, analytics, software, or management wondering how your job will evolve—or how to proactively position yourself for the next phase of your career? This session is designed to cut through the hype and provide clear, actionable insights on adapting your professional path in an AI-enhanced workplace. You will gain a strategic overview of the skills, mindsets, and concrete steps needed to remain relevant and advance your career over the next 1–3 years. What You Will Learn: **- The New Role Landscape:** Understand how AI is specifically reshaping roles in data, software, and technical leadership—and identify emerging, AI-centric job categories. **- The 2025–2027 Skill Priority Checklist:** Gain clarity on the essential technical and non-technical skills you need to prioritize for advancement. **- Your Actionable Next Steps:** Learn the key components of building a personal roadmap to reposition your career for success in an AI-driven environment. **- What Leaders Value:** Get a sneak peek into the insights hiring managers and senior practitioners value most in AI-aligned portfolios and career narratives. Don't just react to change—define your future. Reserve your spot now for the essential guidance you need to secure your professional edge. Useful Links
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WEBINAR "AI Career Transition Strategy"
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WEBINAR "AI Career Transition Strategy"
2026-01-13 · 17:00
Pre-Registration is REQUIRED. RSVP here - https://hubs.li/Q03Y6Txy0 Speaker: Sheamus McGovern\, Founder of ODSC AI \| Venture Partner/Head of AI at Cortical Ventures The age of AI is here, and it’s reshaping nearly every professional role. Are you a mid-career professional in data, analytics, software, or management wondering how your job will evolve—or how to proactively position yourself for the next phase of your career? This session is designed to cut through the hype and provide clear, actionable insights on adapting your professional path in an AI-enhanced workplace. You will gain a strategic overview of the skills, mindsets, and concrete steps needed to remain relevant and advance your career over the next 1–3 years. What You Will Learn: **- The New Role Landscape:** Understand how AI is specifically reshaping roles in data, software, and technical leadership—and identify emerging, AI-centric job categories. **- The 2025–2027 Skill Priority Checklist:** Gain clarity on the essential technical and non-technical skills you need to prioritize for advancement. **- Your Actionable Next Steps:** Learn the key components of building a personal roadmap to reposition your career for success in an AI-driven environment. **- What Leaders Value:** Get a sneak peek into the insights hiring managers and senior practitioners value most in AI-aligned portfolios and career narratives. Don't just react to change—define your future. Reserve your spot now for the essential guidance you need to secure your professional edge. Useful Links
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WEBINAR "AI Career Transition Strategy"
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WEBINAR "AI Career Transition Strategy"
2026-01-13 · 17:00
Pre-Registration is REQUIRED. RSVP here - https://hubs.li/Q03Y6Txy0 Speaker: Sheamus McGovern\, Founder of ODSC AI \| Venture Partner/Head of AI at Cortical Ventures The age of AI is here, and it’s reshaping nearly every professional role. Are you a mid-career professional in data, analytics, software, or management wondering how your job will evolve—or how to proactively position yourself for the next phase of your career? This session is designed to cut through the hype and provide clear, actionable insights on adapting your professional path in an AI-enhanced workplace. You will gain a strategic overview of the skills, mindsets, and concrete steps needed to remain relevant and advance your career over the next 1–3 years. What You Will Learn: **- The New Role Landscape:** Understand how AI is specifically reshaping roles in data, software, and technical leadership—and identify emerging, AI-centric job categories. **- The 2025–2027 Skill Priority Checklist:** Gain clarity on the essential technical and non-technical skills you need to prioritize for advancement. **- Your Actionable Next Steps:** Learn the key components of building a personal roadmap to reposition your career for success in an AI-driven environment. **- What Leaders Value:** Get a sneak peek into the insights hiring managers and senior practitioners value most in AI-aligned portfolios and career narratives. Don't just react to change—define your future. Reserve your spot now for the essential guidance you need to secure your professional edge. Useful Links
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WEBINAR "AI Career Transition Strategy"
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The State Of Marketing Measurement In 2025
2025-12-16 · 17:00
🎙️ Speakers: Thomas Wiecki, Niall Oulton, Tim McWilliams, Carlos Trujillo, Kemble Fletcher, Evan Wimpey \| ⏰ Time: 16:00 UTC / 9:00 AM PT / 12:00 PM ET / 5:00 PM Berlin Marketing measurement is evolving faster than most teams can keep up, and 2025 pushed every model, method, and assumption to its limits. With shifting budgets, new privacy pressures, and a market full of hype disguised as innovation, the real question is: what actually worked? In this session, the PyMC Labs team opens the curtain on what we learned from working hands-on with some of the world’s leading brands, across MMM, CLV, forecasting, causal inference, generative AI, and fully custom Bayesian models. Instead of polished slides or scripted talking points, this roundtable is a guided, honest conversation about what this year revealed, and what 2026 will demand from marketing leaders. Drawing from dozens of real client engagements, model builds, and experiments, you’ll see how our team approached this year’s hardest measurement problems, where the industry is heading, and how to think more clearly about marketing effectiveness in a chaotic environment. You’ll learn:
Join us for a sharp, candid, and practitioner-led discussion that surfaces the lessons, surprises, and strategies shaping smarter marketing decisions, not theory, but what we’ve seen in the trenches. 📜 Outline of Talk / Agenda:
💼 About the speakers: Thomas Wiecki (Founder of PyMC Labs) Dr. Thomas Wiecki is an author of PyMC, the leading platform for statistical data science. To help businesses solve some of their trickiest data science problems, he assembled a world-class team of Bayesian modelers and founded PyMC Labs -- the Bayesian consultancy. He did his PhD at Brown University studying cognitive neuroscience. 🔗 Connect with Thomas: 👉 Linkedin: https://www.linkedin.com/in/twiecki/ 👉 Website: https://www.pymc-labs.com/ https://twiecki.io/ 👉 GitHub: https://github.com/twiecki 👉 Twitter: https://twitter.com/twiecki Niall Oulton (Vice President of Sales - PyMC Labs) Niall Oulton has built a reputation as a leading expert in the field of marketing analytics, with a specialization in Bayesian Marketing Mix Modelling. His career, spanning over a decade, has seen him on both sides of the business landscape - agency and client. His rich background provides him with a unique perspective, making him an expert in understanding and navigating the complexities of both worlds. 🔗 Connect with Niall: 👉 LinkedIn: https://www.linkedin.com/in/nialloulton20/ 👉 Twitter: https://twitter.com/niall20 👉 GitHub: https://github.com/nialloulton 👉 Website: https://1749.io/ Tim McWilliams (Principal Data Scientist - PyMC Labs) With over 7 years of experience in the marketing mix modeling and marketing analytics space, Tim specializes in applying Bayesian modeling techniques to solve complex business challenges and uncover actionable insights. Passionate about bridging advanced statistical methods with real-world marketing strategy, he has worked across diverse industries to optimize media investments and measure impact. 🔗 Connect with Tim: 👉 LinkedIn: https://www.linkedin.com/in/tim-mcwilliams-a4b647b3/ 👉 Github: https://github.com/timbo112711 Kemble Fletcher (Director of Product Development - PyMC Labs) Before joining PyMC Labs, Kemble co-founded SweepLift and co-invented its patent-pending in-stream survey and measurement technology. He later led omnichannel attribution and measurement strategy at Google for its top 300 global clients, influencing $2B in ARR. Prior to that, he drove digital analytics and predictive modeling at OMD for brands like Levi’s, Hilton, and eHarmony. He also advises SaaS and start-up leaders on data architecture, attribution, and growth. At PyMC Labs, Kemble helps organizations solve complex challenges through advanced Bayesian modeling. 🔗 Connect with Kemble: 👉 LinkedIn: https://www.linkedin.com/in/kemblefletcher/ Carlos Trujillo (Principal Data Scientist - PyMC Labs) Carlos is a Marketing Scientist passionate about using data and AI to turn marketing strategy into measurable results. He’s worked with teams across Latin America, Europe, and Africa, including roles at Wise, Bolt, and Omnicom Media Group. As a core member of PyMC Labs, he contributes to open-source projects like PyMC-Marketing, blending statistical rigor with practical marketing insight. 🔗 Connect with Carlos: 👉 LinkedIn: https://www.linkedin.com/in/cetagostini/ 👉 Github: https://github.com/cetagostini 💼 About the Host: Evan Wimpey (Director of Analytics at PyMC Labs) Evan helps clients design Bayesian solutions tailored to their goals, ensuring they understand both the how and why of inference. With master’s degrees in Economics and Analytics, he focuses on delivering clear value throughout projects and brings a unique twist with his background in data comedy. 🔗 Connect with Evan: 👉 Linkedin: https://www.linkedin.com/in/evan-wimpey/ 👉 GitHub: https://github.com/ewimpey 📖 Code of Conduct: Please note that participants are expected to abide by PyMC's Code of Conduct. 🔗 Connecting with PyMC Labs: 🌐 Website: https://www.pymc-labs.com/ 👥 LinkedIn: https://www.linkedin.com/company/pymc-labs/ 🐦 Twitter: https://twitter.com/pymc_labs 🎥 YouTube: https://www.youtube.com/c/PyMCLabs 🤝 Meetup: https://www.meetup.com/pymc-labs-online-meetup/ 🎮 Discord: https://discord.gg/mTc64cAz |
The State Of Marketing Measurement In 2025
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Not Just for Engineers: What Agentic Data Management Unlocks
2025-12-10 · 19:00
Most conversations about automating data workflows center on the engineering stack—but that’s only part of the story. The real payoff comes downstream, where data scientists, analysts, and business leaders need fast, reliable access to data to make informed decisions. In this session, the Matillion team will demonstrate how an agentic system like Maia shifts repetitive data tasks into autonomous execution, freeing up teams to focus on high-impact analysis and modeling. We’ll walk through how this shift reduces backlog, accelerates time-to-insight, and increases trust in the data that drives both machine learning pipelines and executive dashboards. Through real-world examples, attendees will see how agentic workflows empower the entire data organization—not just engineering. Key Takeaways: 1️⃣ Workload Lift for Analysts & Scientists: How automation reduces manual prep and speeds up modeling cycles 2️⃣ From Backlog to Business Value: How agentic orchestration gets more data into production, faster 3️⃣ Organizational Trust in Data: Why agentic systems improve confidence in the data used for decision-making 4️⃣ Cross-Functional Impact: How these changes improve collaboration between data engineering, analytics, and leadership teams PANELISTS TO BE ANNOUNCED SOON |
Not Just for Engineers: What Agentic Data Management Unlocks
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Global AI EXPO
2025-12-10 · 18:00
Global AI Expo 2025 is a full-day, hands-on showcase of the biggest ideas in AI—built for people who learn by seeing and doing. Explore how AI is transforming industries, test emerging tools, and gain practical skills that prepare you for the future of work. You’ll roam across themed halls, join live demos and code-along workshops, network on your own terms, and—new this year—participate in a dedicated Global AI Job Fair in the final two hours. When : Date : Dec 10, 2025 Time : From 1 pm - 5 pm (Your local Time) Format: Virtual - https://events.tao.ai/pod/analytics.club/9kpr6q1mqod1/source--me What to Expect
The Halls
Who Should Attend
Why Join
If you have any questions, please email us at : [email protected] Tags AI jobs, #machine learning jobs, data science jobs, LLM engineer, MLOps engineer, AI recruiter, tech hiring, AI careers, ML internships, entry-level AI, senior AI roles, portfolio review, interview prep, resume tips, employer booths, remote AI roles, hiring fair, virtual job fair, career networking, talent matching, recruiters |
Global AI EXPO
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Global AI EXPO
2025-12-10 · 18:00
Global AI Expo 2025 is a full-day, hands-on showcase of the biggest ideas in AI—built for people who learn by seeing and doing. Explore how AI is transforming industries, test emerging tools, and gain practical skills that prepare you for the future of work. You’ll roam across themed halls, join live demos and code-along workshops, network on your own terms, and—new this year—participate in a dedicated Global AI Job Fair in the final two hours. When : Date : Dec 10, 2025 Time : From 1 pm - 5 pm (Your local Time) Format: Virtual - https://events.tao.ai/pod/analytics.club/9kpr6q1mqod1/source--me What to Expect
The Halls
Who Should Attend
Why Join
If you have any questions, please email us at : [email protected] Tags AI jobs, #machine learning jobs, data science jobs, LLM engineer, MLOps engineer, AI recruiter, tech hiring, AI careers, ML internships, entry-level AI, senior AI roles, portfolio review, interview prep, resume tips, employer booths, remote AI roles, hiring fair, virtual job fair, career networking, talent matching, recruiters |
Global AI EXPO
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Global AI EXPO
2025-12-10 · 13:00
Global AI Expo 2025 is a full-day, hands-on showcase of the biggest ideas in AI—built for people who learn by seeing and doing. Explore how AI is transforming industries, test emerging tools, and gain practical skills that prepare you for the future of work. You’ll roam across themed halls, join live demos and code-along workshops, network on your own terms, and—new this year—participate in a dedicated Global AI Job Fair in the final two hours. When : Date : Dec 10, 2025 Time : From 1 pm - 5 pm (Your local Time) Format: Virtual - https://events.tao.ai/pod/analytics.club/9kpr6q1mqod1/source--me What to Expect
The Halls
Who Should Attend
Why Join
If you have any questions, please email us at : [email protected] Tags AI jobs, #machine learning jobs, data science jobs, LLM engineer, MLOps engineer, AI recruiter, tech hiring, AI careers, ML internships, entry-level AI, senior AI roles, portfolio review, interview prep, resume tips, employer booths, remote AI roles, hiring fair, virtual job fair, career networking, talent matching, recruiters |
Global AI EXPO
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Global AI EXPO
2025-12-10 · 12:00
Global AI Expo 2025 is a full-day, hands-on showcase of the biggest ideas in AI—built for people who learn by seeing and doing. Explore how AI is transforming industries, test emerging tools, and gain practical skills that prepare you for the future of work. You’ll roam across themed halls, join live demos and code-along workshops, network on your own terms, and—new this year—participate in a dedicated Global AI Job Fair in the final two hours. When : Date : Dec 10, 2025 Time : From 1 pm - 5 pm (Your local Time) Format: Virtual - https://events.tao.ai/pod/analytics.club/9kpr6q1mqod1/source--me What to Expect
The Halls
Who Should Attend
Why Join
If you have any questions, please email us at : [email protected] Tags AI jobs, #machine learning jobs, data science jobs, LLM engineer, MLOps engineer, AI recruiter, tech hiring, AI careers, ML internships, entry-level AI, senior AI roles, portfolio review, interview prep, resume tips, employer booths, remote AI roles, hiring fair, virtual job fair, career networking, talent matching, recruiters |
Global AI EXPO
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Global AI EXPO
2025-12-10 · 12:00
Global AI Expo 2025 is a full-day, hands-on showcase of the biggest ideas in AI—built for people who learn by seeing and doing. Explore how AI is transforming industries, test emerging tools, and gain practical skills that prepare you for the future of work. You’ll roam across themed halls, join live demos and code-along workshops, network on your own terms, and—new this year—participate in a dedicated Global AI Job Fair in the final two hours. When : Date : Dec 10, 2025 Time : From 1 pm - 5 pm (Your local Time) Format: Virtual - https://events.tao.ai/pod/analytics.club/9kpr6q1mqod1/source--me What to Expect
The Halls
Who Should Attend
Why Join
If you have any questions, please email us at : [email protected] Tags AI jobs, #machine learning jobs, data science jobs, LLM engineer, MLOps engineer, AI recruiter, tech hiring, AI careers, ML internships, entry-level AI, senior AI roles, portfolio review, interview prep, resume tips, employer booths, remote AI roles, hiring fair, virtual job fair, career networking, talent matching, recruiters |
Global AI EXPO
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Global AI EXPO
2025-12-10 · 12:00
Global AI Expo 2025 is a full-day, hands-on showcase of the biggest ideas in AI—built for people who learn by seeing and doing. Explore how AI is transforming industries, test emerging tools, and gain practical skills that prepare you for the future of work. You’ll roam across themed halls, join live demos and code-along workshops, network on your own terms, and—new this year—participate in a dedicated Global AI Job Fair in the final two hours. When : Date : Dec 10, 2025 Time : From 1 pm - 5 pm (Your local Time) Format: Virtual - https://events.tao.ai/pod/analytics.club/9kpr6q1mqod1/source--me What to Expect
The Halls
Who Should Attend
Why Join
If you have any questions, please email us at : [email protected] Tags AI jobs, #machine learning jobs, data science jobs, LLM engineer, MLOps engineer, AI recruiter, tech hiring, AI careers, ML internships, entry-level AI, senior AI roles, portfolio review, interview prep, resume tips, employer booths, remote AI roles, hiring fair, virtual job fair, career networking, talent matching, recruiters |
Global AI EXPO
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Why organisations struggle with change and what to do about It
2025-12-04 · 05:00
Jason Foster
– guest
,
Sunil Kumar
– Chief Transformation Officer
Most organisations don't struggle with change because of strategy or technology, they struggle because change is fundamentally human. In this episode of Hub & Spoken, Jason Foster, CEO & Founder of Cynozure, speaks with Sunil Kumar, Chief Transformation Officer, to explore why transformation so often stalls and what leaders can do to make it stick. Drawing on more than 26 years working across airlines, telecoms, finance and FMCG, Sunil explains why context, such as geopolitics, customer behaviour, industry shifts and internal culture, is the deciding factor in how change lands. When leaders ignore that context, resistance and fatigue follow. Jason and Sunil discuss the human realities behind change, including: Why people naturally resist it How values and beliefs influence adoption Why narrative and excitement matter more than familiar project metrics Sunil also shares his practical "push, pull, connect" model for building momentum and why adoption, not go-live, should be the true measure of success. 🎧 Listen to the full episode now 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. Cynozure is a certified B Corporation. |
Hub & Spoken: Data | Analytics | Chief Data Officer | CDO | Data Strategy |
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Trust Your Data - Practical strategies to build confidence in your data
2025-12-03 · 15:00
In today’s data-driven world, trust is everything — and yet, it’s often the missing piece. This focused session is designed to help analytics and BI professionals identify the gaps that cause mistrust in data and learn how to fix them through clear, structured processes. You’ll discover how to turn raw data into reliable insights and how to build a culture of analytical thinking across teams — from data developers to business leaders. Key takeaways: • How to build a data management strategy that turns information into a strategic asset • Understanding the why behind every business question and metric • Creating unified measurement policies to ensure consistent analysis • Reducing data risks and ensuring information quality • The step-by-step journey of building and implementing dashboards that people actually trust This session offers practical tools for BI developers, analysts, and decision-makers who want to make data a trusted partner in every business decision. |
Trust Your Data - Practical strategies to build confidence in your data
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Unfiltered: Adobe Analytics (#3)
2025-12-03 · 09:00
*A new independent, online Adobe Analytics user group* We’re bringing together senior analytics leaders and practitioners who use Adobe Analytics to deliver real business results. Running under Chatham House Rules, ‘Unfiltered: Adobe Analytics' is an independently-organised space to swap ideas, share what’s working (and what isn’t), and leave with practical insights you can apply straight away. Whether you run a team, lead a programme, or keep the tracking running day-to-day, you’ll find value in the mix of unfiltered strategic perspectives and hands-on experience as shared by a range of like-minded Adobe Analytics users. What to expect:
The format:
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Unfiltered: Adobe Analytics (#3)
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Code security for software engineers
2025-11-26 · 16:45
Johannes Dahse
– VP of Code Security
@ Sonar
,
Gergely Orosz
– host
Brought to You By: • Statsig — The unified platform for flags, analytics, experiments, and more. Statsig are helping make the first-ever Pragmatic Summit a reality. Join me and 400 other top engineers and leaders on 11 February, in San Francisco for a special one-day event. Reserve your spot here. • Linear — The system for modern product development. Engineering teams today move much faster, thanks to AI. Because of this, coordination increasingly becomes a problem. This is where Linear helps fast-moving teams stay focused. Check out Linear. — As software engineers, what should we know about writing secure code? Johannes Dahse is the VP of Code Security at Sonar and a security expert with 20 years of industry experience. In today’s episode of The Pragmatic Engineer, he joins me to talk about what security teams actually do, what developers should own, and where real-world risk enters modern codebases. We cover dependency risk, software composition analysis, CVEs, dynamic testing, and how everyday development practices affect security outcomes. Johannes also explains where AI meaningfully helps, where it introduces new failure modes, and why understanding the code you write and ship remains the most reliable defense. If you build and ship software, this episode is a practical guide to thinking about code security under real-world engineering constraints. — Timestamps (00:00) Intro (02:31) What is penetration testing? (06:23) Who owns code security: devs or security teams? (14:42) What is code security? (17:10) Code security basics for devs (21:35) Advanced security challenges (24:36) SCA testing (25:26) The CVE Program (29:39) The State of Code Security report (32:02) Code quality vs security (35:20) Dev machines as a security vulnerability (37:29) Common security tools (42:50) Dynamic security tools (45:01) AI security reviews: what are the limits? (47:51) AI-generated code risks (49:21) More code: more vulnerabilities (51:44) AI’s impact on code security (58:32) Common misconceptions of the security industry (1:03:05) When is security “good enough?” (1:05:40) Johannes’s favorite programming language — The Pragmatic Engineer deepdives relevant for this episode: • What is Security Engineering? • Mishandled security vulnerability in Next.js • Okta Schooled on Its Security Practices — Production and marketing by https://penname.co/. For inquiries about sponsoring the podcast, email [email protected]. Get full access to The Pragmatic Engineer at newsletter.pragmaticengineer.com/subscribe |
The Pragmatic Engineer |
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Make More Informed Decisions with Geospatial Intelligence
2025-11-21 · 17:00
Prasad Komma
– Principal Technical Program Manager
@ Microsoft
,
Martin Tuip
– Senior PMM - Global Industry
@ Microsoft
As manufacturers and supply chain leaders navigate the dual pressures of operational efficiency and sustainability, geospatial intelligence (GSI) is emerging as a transformative force. This lab session explores how the integration of Earth observation data, AI, and cloud-scale analytics is enabling smarter, faster, and greener decision-making across industrial ecosystems. Please RSVP and arrive at least 5 minutes before the start time, at which point remaining spaces are open to standby attendees. |
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Enhance Decision Making with Geospatial Intelligence
2025-11-21 · 00:30
Martin Tuip
– Senior PMM - Global Industry
@ Microsoft
As manufacturers and supply chain leaders navigate the dual pressures of operational efficiently and sustainability, geospatial intelligence (GSI) is emerging as a transformative force. Discover how the integration of Earth observation data, AI, and cloud-scale analytics is enabling smarter, faster, and greener decision-making across industrial ecosystems. |
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