Introduction Workshop - Visualizing Marathon Data Visualisation
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The document discusses the creation of interactive data narratives, emphasizing a balance between author-driven and viewer-driven storytelling. It outlines a process involving exploration, design, and prototyping to enhance audience engagement through visualizations. Key principles of effective data representation and the importance of clear communication are also highlighted.
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A Constitutional Quagmire - Ethical Minefields of AI, Cyber, and Privacy"How to survive Black Friday: preparing e-commerce for a peak season", Yurii ...
"How to survive Black Friday: preparing e-commerce for a peak season", Yurii ...Fwdays
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We will explore how e-commerce projects prepare for the busiest time of the year, which key aspects to focus on, and what to expect. We¡¯ll share our experience in setting up auto-scaling, load balancing, and discuss the loads that Silpo handles, as well as the solutions that help us navigate this season without failures.Smarter Aviation Data Management: Lessons from Swedavia Airports and Sweco
Smarter Aviation Data Management: Lessons from Swedavia Airports and SwecoSafe Software
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Managing airport and airspace data is no small task, especially when you¡¯re expected to deliver it in AIXM format without spending a fortune on specialized tools. But what if there was a smarter, more affordable way?
Join us for a behind-the-scenes look at how Sweco partnered with Swedavia, the Swedish airport operator, to solve this challenge using FME and Esri.
Learn how they built automated workflows to manage periodic updates, merge airspace data, and support data extracts ¨C all while meeting strict government reporting requirements to the Civil Aviation Administration of Sweden.
Even better? Swedavia built custom services and applications that use the FME Flow REST API to trigger jobs and retrieve results ¨C streamlining tasks like securing the quality of new surveyor data, creating permdelta and baseline representations in the AIS schema, and generating AIXM extracts from their AIS data.
To conclude, FME expert Dean Hintz will walk through a GeoBorders reading workflow and highlight recent enhancements to FME¡¯s AIXM (Aeronautical Information Exchange Model) processing and interpretation capabilities.
Discover how airports like Swedavia are harnessing the power of FME to simplify aviation data management, and how you can too." How to survive with 1 billion vectors and not sell a kidney: our low-cost c...
" How to survive with 1 billion vectors and not sell a kidney: our low-cost c...Fwdays
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Let's talk about our history. How we started the project with a small vector database of less than 2 million records. Later, we received a request for +100 million records, then another +100... And so gradually we reached almost 1 billion. Standard tools were quickly running out of steam - we were running into performance, index size, and very limited resources. After a long series of trials and errors, we built our own low-cost cluster, which today stably processes thousands of queries to more than 1B vectors.Tech-ASan: Two-stage check for Address Sanitizer - Yixuan Cao.pdf
Tech-ASan: Two-stage check for Address Sanitizer - Yixuan Cao.pdfcaoyixuan2019
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A presentation at Internetware 2025.Enhance GitHub Copilot using MCP - Enterprise version.pdf
Enhance GitHub Copilot using MCP - Enterprise version.pdfNilesh Gule
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ºÝºÝߣ deck related to the GitHub Copilot Bootcamp in Melbourne on 17 June 2025OpenACC and Open Hackathons Monthly Highlights June 2025
OpenACC and Open Hackathons Monthly Highlights June 2025OpenACC
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The OpenACC organization focuses on enhancing parallel computing skills and advancing interoperability in scientific applications through hackathons and training. The upcoming 2025 Open Accelerated Computing Summit (OACS) aims to explore the convergence of AI and HPC in scientific computing and foster knowledge sharing. This year's OACS welcomes talk submissions from a variety of topics, from Using Standard Language Parallelism to Computer Vision Applications. The document also highlights several open hackathons, a call to apply for NVIDIA Academic Grant Program and resources for optimizing scientific applications using OpenACC directives.EIS-Webinar-Engineering-Retail-Infrastructure-06-16-2025.pdf
EIS-Webinar-Engineering-Retail-Infrastructure-06-16-2025.pdfEarley Information Science
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As AI reshapes expectations in retail and B2B commerce, organizations are recognizing a critical reality: meaningful AI outcomes depend on well-structured, adaptable infrastructure. In this session, Seth Earley is joined by Phil Ryan - AI strategist, search technologist, and founder of Glass Leopard Technologies - for a candid conversation on what it truly means to engineer systems for scale, agility, and intelligence.
Phil draws on more than two decades of experience leading search and AI initiatives for enterprise organizations. Together, he and Seth explore the challenges businesses face when legacy architectures limit personalization, agility, and real-time decisioning - and what needs to change to support agentic technologies and next-best-action capabilities.
Key themes from the webinar include:
Composability as a prerequisite for AI?- Why modular, loosely coupled systems are essential for adapting to rapid innovation and evolving business needs
Search and relevance as foundational to AI?- How techniques honed-in enterprise search have laid the groundwork for more responsive and intelligent customer experiences
From MDM and CDP to agentic systems?- How data platforms are evolving to support richer customer context and dynamic orchestration
Engineering for business alignment?- Why successful AI programs require architectural decisions grounded in measurable outcomes
The conversation is practical and forward-looking, connecting deep technical understanding with real-world business needs. Whether you¡¯re modernizing your commerce stack or exploring how AI can enhance product discovery, personalization, or customer journeys, this session provides a clear-eyed view of the capabilities, constraints, and priorities that matter most.cnc-processing-centers-centateq-p-110-en.pdf
cnc-processing-centers-centateq-p-110-en.pdfAmirStern2
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????? ???? ?????? ????? ????? ???????? ?????? ?????: ????? ????, ?????, ?????, ?????? ????.AI vs Human Writing: Can You Tell the Difference?
AI vs Human Writing: Can You Tell the Difference?Shashi Sathyanarayana, Ph.D
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This slide illustrates a side-by-side comparison between human-written, AI-written, and ambiguous content. It highlights subtle cues that help readers assess authenticity, raising essential questions about the future of communication, trust, and thought leadership in the age of generative AI.Securing Account Lifecycles in the Age of Deepfakes.pptx
Securing Account Lifecycles in the Age of Deepfakes.pptxFIDO Alliance
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Securing Account Lifecycles in the Age of DeepfakesGenAI Opportunities and Challenges - Where 370 Enterprises Are Focusing Now.pdf
GenAI Opportunities and Challenges - Where 370 Enterprises Are Focusing Now.pdfPriyanka Aash
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GenAI Opportunities and Challenges - Where 370 Enterprises Are Focusing NowFrom Manual to Auto Searching- FME in the Driver's Seat
From Manual to Auto Searching- FME in the Driver's SeatSafe Software
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Finding a specific car online can be a time-consuming task, especially when checking multiple dealer websites. A few years ago, I faced this exact problem while searching for a particular vehicle in New Zealand. The local classified platform, Trade Me (similar to eBay), wasn¡¯t yielding any results, so I expanded my search to second-hand dealer sites¡ªonly to realise that periodically checking each one was going to be tedious. That¡¯s when I noticed something interesting: many of these websites used the same platform to manage their inventories. Recognising this, I reverse-engineered the platform¡¯s structure and built an FME workspace that automated the search process for me. By integrating API calls and setting up periodic checks, I received real-time email alerts when matching cars were listed. In this presentation, I¡¯ll walk through how I used FME to save hours of manual searching by creating a custom car-finding automation system. While FME can¡¯t buy a car for you¡ªyet¡ªit can certainly help you find the one you¡¯re after!Curietech AI in action - Accelerate MuleSoft development
Curietech AI in action - Accelerate MuleSoft developmentshyamraj55
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CurieTech AI in Action ¨C Accelerate MuleSoft Development
Overview:
This presentation demonstrates how CurieTech AI¡¯s purpose-built agents empower MuleSoft developers to create integration workflows faster, more accurately, and with less manual effort
linkedin.com
+12
curietech.ai
+12
meetups.mulesoft.com
+12
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Key Highlights:
Dedicated AI agents for every stage: Coding, Testing (MUnit), Documentation, Code Review, and Migration
curietech.ai
+7
curietech.ai
+7
medium.com
+7
DataWeave automation: Generate mappings from tables or samples¡ª95%+ complete within minutes
linkedin.com
+7
curietech.ai
+7
medium.com
+7
Integration flow generation: Auto-create Mule flows based on specifications¡ªspeeds up boilerplate development
curietech.ai
+1
medium.com
+1
Efficient code reviews: Gain intelligent feedback on flows, patterns, and error handling
youtube.com
+8
curietech.ai
+8
curietech.ai
+8
Test & documentation automation: Auto-generate MUnit test cases, sample data, and detailed docs from code
curietech.ai
+5
curietech.ai
+5
medium.com
+5
Why Now?
Achieve 10¡Á productivity gains, slashing development time from hours to minutes
curietech.ai
+3
curietech.ai
+3
medium.com
+3
Maintain high accuracy with code quality matching or exceeding manual efforts
curietech.ai
+2
curietech.ai
+2
curietech.ai
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Ideal for developers, architects, and teams wanting to scale MuleSoft projects with AI efficiency
Conclusion:
CurieTech AI transforms MuleSoft development into an AI-accelerated workflow¡ªletting you focus on innovation, not repetition."Scaling in space and time with Temporal", Andriy Lupa.pdf
"Scaling in space and time with Temporal", Andriy Lupa.pdfFwdays
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Design patterns like Event Sourcing and Event Streaming have long become standards for building real-time analytics systems. However, when the system load becomes nonlinear with fast and often unpredictable spikes, it's crucial to respond quickly in order not to lose real-time operating itself.
In this talk, I¡¯ll share my experience implementing and using a tool like Temporal.io. We'll explore the evolution of our system for maintaining real-time report generation and discuss how we use Temporal both for short-lived pipelines and long-running background tasks.Raman Bhaumik - Passionate Tech Enthusiast
Raman Bhaumik - Passionate Tech EnthusiastRaman Bhaumik
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A Junior Software Developer with a flair for innovation, Raman Bhaumik excels in delivering scalable web solutions. With three years of experience and a solid foundation in Java, Python, JavaScript, and SQL, she has streamlined task tracking by 20% and improved application stability.You are not excused! How to avoid security blind spots on the way to production
You are not excused! How to avoid security blind spots on the way to productionMichele Leroux Bustamante
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We live in an ever evolving landscape for cyber threats creating security risk for your production systems. Mitigating these risks requires participation throughout all stages from development through production delivery - and by every role including architects, developers QA and DevOps engineers, product owners and leadership. No one is excused! This session will cover examples of common mistakes or missed opportunities that can lead to vulnerabilities in production - and ways to do better throughout the development lifecycle.Mastering AI Workflows with FME by Mark Do?ring
Mastering AI Workflows with FME by Mark Do?ringSafe Software
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Harness the full potential of AI with FME: From creating high-quality training data to optimizing models and utilizing results, FME supports every step of your AI workflow. Seamlessly integrate a wide range of models, including those for data enhancement, forecasting, image and object recognition, and large language models. Customize AI models to meet your exact needs with FME¡¯s powerful tools for training, optimization, and seamless integrationAI Agents and FME: A How-to Guide on Generating Synthetic Metadata
AI Agents and FME: A How-to Guide on Generating Synthetic MetadataSafe Software
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In the world of AI agents, semantics is king. Good metadata is thus essential in an organization's AI readiness checklist. But how do we keep up with the massive influx of new data? In this talk we go over the tips and tricks in generating synthetic metadata for the consumption of human users and AI agents alike.Salesforce Summer '25 Release Frenchgathering.pptx.pdf
Salesforce Summer '25 Release Frenchgathering.pptx.pdfyosra Saidani
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Salesforce Summer '25 Release Frenchgathering.pptx.pdfYou are not excused! How to avoid security blind spots on the way to production
You are not excused! How to avoid security blind spots on the way to productionMichele Leroux Bustamante
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Introduction Workshop - Visualizing Marathon Data Visualisation
- 3. Author driven vs Viewer driven
- 7. Tell a story that you can interact with
- 8. Our Process Iteration Explore and analyse Develop detailed data. De?ne design and Develop and deploy requirements and visualisation visualisation conceptual design. prototypes. Feedback Exploration Design Development Gather and review data Create interactive prototypes Develop select visualisation Assess audience needs Design technical architecture Implement server backend Sketch conceptual designs Design detailed interactions Handover and training Produce data pro?le
- 9. Author driven vs Viewer driven Martini Glass Author driven, linear narrative initially Opens up to viewer driven at end Tell a story then exploration e.g. Interactive news Interactive ºÝºÝߣshow Balance of author and viewer driven Exploration at each stage Primarily linear narrative Drill Down Story Viewer driven narrative Initial high level overview Viewer then drills into detail e.g. Interactive map J. Heer
- 10. Not just the averages
- 11. Draw the viewer into the data
- 12. Form Visual Encoding Orientation Line Length Line Width Size Shape Curvature Enclosure Motion Colour Position Intensity Hue 2-D Position Grouping Ware
- 13. Gestalt Principles of Visual Perception Similarity Similarity Connection Continuity Closure Enclosure Proximity Proximity Proximity
- 15. ¡°Real artists ship¡± Don¡¯t over reach Focus on the story of the data Use visual encoding wisely Don¡¯t make your viewer work too hard at the start