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This document contains a table with statistical significance levels (p-values) for different degrees of freedom and alpha values. The table lists critical values for p-values of 0.01, 0.025, 0.05, 0.075 and 0.1, with corresponding alpha levels and confidence intervals. It provides critical values for statistical significance testing with degrees of freedom ranging from 1 to 30.
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Even better? Swedavia built custom services and applications that use the FME Flow REST API to trigger jobs and retrieve results 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.
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https://owasp.org/www-project-threat-model-library/Salesforce Summer '25 Release Frenchgathering.pptx.pdf
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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
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Engineering for business alignment油- Why successful AI programs require architectural decisions grounded in measurable outcomes
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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.MPU+: A Transformative Solution for Next-Gen AI at the Edge, a Presentation...
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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."Database isolation: how we deal with hundreds of direct connections to the d...
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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.MPU+: A Transformative Solution for Next-Gen AI at the Edge, a Presentation...
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R tabel
- 1. TINGKAT SIGNIFIKANSI 0.01 0.025 0.05 0.075 0.1 留 TK Derajat kebebasan 1 1.000 0.997 0.988 0.972 0.951 0.01 99% 2 0.025 97.50% 3 0.05 95% 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30
- 2. TINGKAT SIGNIFIKANSI 0.01 0.025 0.05 0.075 0.1 留 TK Derajat kebebasan 1 1.000 0.997 0.988 0.972 0.951 0.01 99% 2 0.980 0.950 0.900 0.850 0.800 0.025 97.50% 3 0.934 0.878 0.805 0.743 0.687 0.05 95% 4 0.882 0.811 0.729 0.664 0.608 5 0.833 0.754 0.669 0.605 0.551 6 0.789 0.707 0.621 0.559 0.507 7 0.750 0.666 0.582 0.521 0.472 8 0.715 0.632 0.549 0.491 0.443 9 0.685 0.602 0.521 0.465 0.419 10 0.658 0.576 0.497 0.442 0.398 11 0.634 0.553 0.476 0.423 0.380 12 0.612 0.532 0.458 0.406 0.365 13 0.592 0.514 0.441 0.391 0.351 14 0.574 0.497 0.426 0.377 0.338 15 0.558 0.482 0.412 0.365 0.327 16 0.543 0.468 0.400 0.354 0.317 17 0.529 0.456 0.389 0.343 0.308 18 0.516 0.444 0.378 0.334 0.299 19 0.503 0.433 0.369 0.325 0.291 20 0.492 0.423 0.360 0.317 0.284 21 0.482 0.413 0.352 0.310 0.277 22 0.472 0.404 0.344 0.303 0.271 23 0.462 0.396 0.337 0.297 0.265 24 0.453 0.388 0.330 0.290 0.260 25 0.445 0.381 0.323 0.285 0.255 26 0.437 0.374 0.317 0.279 0.250 27 0.430 0.367 0.311 0.274 0.245 28 0.423 0.361 0.306 0.269 0.241 29 0.416 0.355 0.301 0.265 0.237 30 0.409 0.349 0.296 0.260 0.233