Dmaic
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This document outlines the steps in a process improvement methodology including defining requirements, identifying potential solutions, selecting and implementing a solution, measuring performance, and standardizing changes. It involves gathering data, analyzing root causes of issues, testing solutions, and determining if further process redesign is needed or if the desired results were obtained.
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It's a new field that uses the mind-bending rules of quantum physics to make AI even more powerful.Techniques for Automatic Device Identification and Network Assignment.pdf
Techniques for Automatic Device Identification and Network Assignment.pdfPriyanka Aash
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Techniques for Automatic Device Identification and Network Assignment" 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.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.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.pdfSmarter 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.Lessons Learned from Developing Secure AI Workflows.pdf
Lessons Learned from Developing Secure AI Workflows.pdfPriyanka Aash
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Lessons Learned from Developing Secure AI Workflows9-1-1 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.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
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meetups.mulesoft.com
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Key Highlights:
Dedicated AI agents for every stage: Coding, Testing (MUnit), Documentation, Code Review, and Migration
curietech.ai
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curietech.ai
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medium.com
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DataWeave automation: Generate mappings from tables or samples¡ª95%+ complete within minutes
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+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
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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
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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.Database Benchmarking for Performance Masterclass: Session 2 - Data Modeling ...
Database Benchmarking for Performance Masterclass: Session 2 - Data Modeling ...ScyllaDB
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Specific best practices and pitfalls for benchmarking popular high-performance databases."Database isolation: how we deal with hundreds of direct connections to the d...
"Database isolation: how we deal with hundreds of direct connections to the d...Fwdays
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What can go wrong if you allow each service to access the database directly? In a startup, this seems like a quick and easy solution, but as the system scales, problems appear that no one could have guessed.
In my talk, I'll share Solidgate's experience in transforming its architecture: from the chaos of direct connections to a service-based data access model. I will talk about the transition stages, bottlenecks, and how isolation affected infrastructure support. I will honestly show what worked and what didn't. In short, we will analyze the controversy of this talk.Ad
Dmaic
- 1. Project Selection Customer Requirements Solutions Identified Implement Solution DMAIC Measure Analyze Measurement Plan Solution Selected Improve Control Root Cause Quality no New Process or Product no yes yes Define Proceed To DMADV Efficiency Proceed To Lean Data Collection Test Solution Return to appropriate phase Process Control Monitor Performance Enterprise Standardization Manage Change Project Planning Team Charter Problem Statement Stakeholder Analysis Risk Assessment Process Mapping Measurement System Analysis Process Capability Display Data Is a process redesign required? Desired Result Obtained? Proceed To DMADV no yes