Google Drive (Docs) in Atlassian JIRA
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The Google Drive in Atlassian JIRA integration allows users to link Google Drive files like documents, spreadsheets, and PDFs directly to JIRA issues. It provides secure authentication between Google Drive and JIRA and supports previewing, opening, editing, and downloading Drive files from within JIRA issues. A video demonstration of the integration is available on YouTube.
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The SQLExecutor is one of FMEs most powerful and flexible transformers. Pivvot maintains a robust internal metadata hierarchy used to support ingestion and curation of thousands of external data sources that must be managed for quality before entering our platform. By using the SQLExecutor, Pivvot can efficiently detect problems and perform analysis before data is extracted from our staging environment, removing the need for rollbacks or cycles waisted on a failed job. This presentation will walk through three distinct examples of how Pivvot uses the SQLExecutor to engage its metadata hierarchy and integrate with its Data Quality Management workflows efficiently and within the source postgres database. Spatial Validation Validating spatial prerequisites before entering a production environment. Reference Data Validation - Dynamically validate domain-ed columns across any table and multiple columns per table. Practical De-duplication - Removing identical or near-identical well point locations from two distinct source datasets in the same table.UserCon Belgium: Honey, VMware increased my bill
UserCon Belgium: Honey, VMware increased my billstijn40
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VMwares pricing changes have forced organizations to rethink their datacenter cost management strategies. While FinOps is commonly associated with cloud environments, the FinOps Foundation has recently expanded its framework to include Scopesand Datacenter is now officially part of the equation. In this session, well map the FinOps Framework to a VMware-based datacenter, focusing on cost visibility, optimization, and automation. Youll learn how to track costs more effectively, rightsize workloads, optimize licensing, and drive efficiencyall without migrating to the cloud. Well also explore how to align IT teams, finance, and leadership around cost-aware decision-making for on-prem environments. If your VMware bill keeps increasing and you need a new approach to cost management, this session is for you!cnc-processing-centers-centateq-p-110-en.pdf
cnc-processing-centers-centateq-p-110-en.pdfAmirStern2
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廖 廢廣 廚廣廬 廣 廩廬 廬廬 廣廚 廩: 廡 , 廚廡, 廖廨, 廨廖 ." 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.CapCut Pro Crack For PC Latest Version {Fully Unlocked} 2025
CapCut Pro Crack For PC Latest Version {Fully Unlocked} 2025pcprocore
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＄腫:腫署 告駒諮 & 署 駒諮 腫腫基告 諮介 > https://pcprocore.com/
CapCut Pro Crack is a powerful tool that has taken the digital world by storm, offering users a fully unlocked experience that unleashes their creativity. With its user-friendly interface and advanced features, its no wonder why aspiring videographers are turning to this software for their projects.Cluster-Based Multi-Objective Metamorphic Test Case Pair Selection for Deep N...
Cluster-Based Multi-Objective Metamorphic Test Case Pair Selection for Deep N...janeliewang985
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the slides of the MP selection approach CMPSPyCon SG 25 - Firecracker Made Easy with Python.pdf
PyCon SG 25 - Firecracker Made Easy with Python.pdfMuhammad Yuga Nugraha
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Explore the ease of managing Firecracker microVM with the firecracker-python. In this session, I will introduce the basics of Firecracker microVM and demonstrate how this custom SDK facilitates microVM operations easily. We will delve into the design and development process behind the SDK, providing a behind-the-scenes look at its creation and features. While traditional Firecracker SDKs were primarily available in Go, this module brings a simplicity of Python to the table.10 Key Challenges for AI within the EU Data Protection Framework.pdf
10 Key Challenges for AI within the EU Data Protection Framework.pdfPriyanka Aash
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10 Key Challenges for AI within the EU Data Protection FrameworkWenn alles versagt - IBM Tape sch端tzt, was z辰hlt! Und besonders mit dem neust...
Wenn alles versagt - IBM Tape sch端tzt, was z辰hlt! Und besonders mit dem neust...Josef Weingand
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IBM LTO10Securing 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 DeepfakesConnecting Data and Intelligence: The Role of FME in Machine Learning
Connecting Data and Intelligence: The Role of FME in Machine LearningSafe Software
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In this presentation, we want to explore powerful data integration and preparation for Machine Learning. FME is known for its ability to manipulate and transform geospatial data, connecting diverse data sources into efficient and automated workflows. By integrating FME with Machine Learning techniques, it is possible to transform raw data into valuable insights faster and more accurately, enabling intelligent analysis and data-driven decision making.Oh, the Possibilities - Balancing Innovation and Risk with Generative AI.pdf
Oh, the Possibilities - Balancing Innovation and Risk with Generative AI.pdfPriyanka Aash
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Oh, the Possibilities - Balancing Innovation and Risk with Generative AIGenAI 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), wasnt yielding any results, so I expanded my search to second-hand dealer sitesonly to realise that periodically checking each one was going to be tedious. Thats when I noticed something interesting: many of these websites used the same platform to manage their inventories. Recognising this, I reverse-engineered the platforms 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, Ill walk through how I used FME to save hours of manual searching by creating a custom car-finding automation system. While FME cant buy a car for youyetit can certainly help you find the one youre after!9-1-1 Addressing: End-to-End Automation Using FME
9-1-1 Addressing: End-to-End Automation Using FMESafe Software
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This session will cover a common use case for local and state/provincial governments who create and/or maintain their 9-1-1 addressing data, particularly address points and road centerlines. In this session, you'll learn how FME has helped Shelby County 9-1-1 (TN) automate the 9-1-1 addressing process; including automatically assigning attributes from disparate sources, on-the-fly QAQC of said data, and reporting. The FME logic that this presentation will cover includes: Table joins using attributes and geometry, Looping in custom transformers, Working with lists and Change detection.A Constitutional Quagmire - Ethical Minefields of AI, Cyber, and Privacy.pdf
A Constitutional Quagmire - Ethical Minefields of AI, Cyber, and Privacy.pdfPriyanka Aash
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A Constitutional Quagmire - Ethical Minefields of AI, Cyber, and PrivacyThe Future of Technology: 2025-2125 by Saikat Basu.pdf
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A peek into the next 100 years of technology. From Generative AI to Global AI networks to Martian Colonisation to Interstellar exploration to Industrial Nanotechnology to Artificial Consciousness, this is a journey you don't want to miss. Which ones excite you the most? Which ones are you apprehensive about? Feel free to comment! Let the conversation begin!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油- Why modular, loosely coupled systems are essential for adapting to rapid innovation and evolving business needs
Search and relevance as foundational to AI油- How techniques honed-in enterprise search have laid the groundwork for more responsive and intelligent customer experiences
From MDM and CDP to agentic systems油- How data platforms are evolving to support richer customer context and dynamic orchestration
Engineering for business alignment油- 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 youre 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.Google Drive (Docs) in Atlassian JIRA
- 2. Google Drive in Atlassian JIRA Supported File types
- 3. Google Drive in Atlassian JIRA What does it do? Secure authentication between Google Drive and JIRA Link one or many Google Drive files directly to any JIRA issue Download local copies of Google documents from JIRA Supporting all types: Documents, Spreadsheets, Presentations, Drawings, PDFs, ZIP, TXT, etc.
- 4. Google Drive in Atlassian JIRA Link a Google Docs to your JIRA issue, direct from Google Docs repository. Includes file picker, preview, open, launch, download options
- 5. Google Drive in Atlassian JIRA Preview, open, edit, or even download a local copy of the document Edit Google docs direct from JIRA, and save back to Google
- 6. Google Drive in Atlassian JIRA See the integration in action on Youtube at: http://youtu.be/95jaccd-x5E Thank You www.appfusions.com info@appfusions.com 息 2010-2014. The content of this document belongs to AppFusions Inc. The intellectual property is protected by laws, covering copyrights, trademarks, service marks, patents, and rights of privacy and/or publicity.And any unauthorized use is prohibited unless prior written content is obtained.