Bt Analyzing
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Bloom's Taxonomy describes analyzing as breaking down information into its individual components to best understand it. This involves distinguishing, comparing, questioning, appraising, experimenting, inspecting, examining, probing, separating, inquiring, arranging, investigating, and other activities that analyze information by breaking it down, grouping it, ordering it, sequencing it, testing it, and debating it.
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FIDO Seminar: Evolving Landscape of Post-Quantum CryptographyFIDO Seminar: Authentication for a Billion Consumers - Amazon.pptx
FIDO Seminar: Authentication for a Billion Consumers - Amazon.pptxFIDO Alliance
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FIDO Seminar: Authentication for a Billion Consumers - AmazonHigh Availability On-Premises FME Flow.pdf
High Availability On-Premises FME Flow.pdfSafe Software
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FME Flow is a highly robust tool for transforming data both automatically and by user-initiated workflows. At the Finnish telecommunications company Elisa, FME Flow serves processes and internal stakeholders that require 24/7 availability from underlying systems, while imposing limitations on the use of cloud based systems. In response to these business requirements, Elisa has implemented a high-availability on-premises setup of FME Flow, where all components of the system have been duplicated or clustered. The goal of the presentation is to provide insights into the architecture behind the high-availability functionality. The presentation will show in basic technical terms how the different parts of the system work together. Basic level understanding of IT technologies is required to understand the technical portion of the presentation, namely understanding the purpose of the following components: load balancer, FME Flow host nodes, FME Flow worker nodes, network file storage drives, databases, and external authentication services. The presentation will also outline our lessons learned from the high-availability project, both benefits and challenges to consider.Supporting the NextGen 911 Digital Transformation with FME
Supporting the NextGen 911 Digital Transformation with FMESafe Software
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Next Generation 911 involves the transformation of our 911 system from an old analog one to the new digital internet based architecture. The evolution of NG911 opens up a host of new opportunities to improve the system. This includes everything from device based location, to real time text. This can improve location accuracy dramatically as well as provide live updates from the citizen in need along with real time sensor updates. There is also the opportunity to provide multi-media attachments and medical records if the end user approves. This digital transformation and enhancements all require the support of new NENA and CRTC standards, along with integration across a variety of data streams.
This presentation will focus on how FME has supported NG911 transformations to date, and how we are positioning FME to support the enhanced capabilities to come. This session will be of interest to emergency services, municipalities and anyone who may be interested to know more about how emergency services are being improved to provide more accurate, localized information in order to improve the speed and relevance of emergency response and ultimately save more lives and provide better outcomes for those in need.National Fuels Treatments Initiative: Building a Seamless Map of Hazardous Fu...
National Fuels Treatments Initiative: Building a Seamless Map of Hazardous Fu...Safe Software
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The National Fuels Treatments Initiative (NFT) is transforming wildfire mitigation by creating a standardized map of nationwide fuels treatment locations across all land ownerships in the United States. While existing state and federal systems capture this data in diverse formats, NFT bridges these gaps, delivering the first truly integrated national view. This dataset will be used to measure the implementation of the National Cohesive Wildland Strategy and demonstrate the positive impact of collective investments in hazardous fuels reduction nationwide. In Phase 1, we developed an ETL pipeline template in FME Form, leveraging a schema-agnostic workflow with dynamic feature handling intended for fast roll-out and light maintenance. This was key as the initiative scaled from a few to over fifty contributors nationwide. By directly pulling from agency data stores, oftentimes ArcGIS Feature Services, NFT preserves existing structures, minimizing preparation needs. External mapping tables ensure consistent attribute and domain alignment, while robust change detection processes keep data current and actionable. Now in Phase 2, were migrating pipelines to FME Flow to take advantage of advanced scheduling, monitoring dashboards, and automated notifications to streamline operations. Join us to explore how this initiative exemplifies the power of technology, blending FME, ArcGIS Online, and AWS to solve a national business problem with a scalable, automated solution.The State of Web3 Industry- Industry Report
The State of Web3 Industry- Industry ReportLiveplex
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Web3 is poised for mainstream integration by 2030, with decentralized applications potentially reaching billions of users through improved scalability, user-friendly wallets, and regulatory clarity. Many forecasts project trillions of dollars in tokenized assets by 2030 , integration of AI, IoT, and Web3 (e.g. autonomous agents and decentralized physical infrastructure), and the possible emergence of global interoperability standards. Key challenges going forward include ensuring security at scale, preserving decentralization principles under regulatory oversight, and demonstrating tangible consumer value to sustain adoption beyond speculative cycles.Mastering AI Workflows with FME - Peak of Data & AI 2025
Mastering AI Workflows with FME - Peak of Data & AI 2025Safe 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 FMEs powerful tools for training, optimization, and seamless integrationFIDO Seminar: New Data: Passkey Adoption in the Workforce.pptx
FIDO Seminar: New Data: Passkey Adoption in the Workforce.pptxFIDO Alliance
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FIDO Seminar: New Data: Passkey Adoption in the WorkforceCreating Inclusive Digital Learning with AI: A Smarter, Fairer Future
Creating Inclusive Digital Learning with AI: A Smarter, Fairer FutureImpelsys Inc.
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Have you ever struggled to read a tiny label on a medicine box or tried to navigate a confusing website? Now imagine if every learning experience felt that wayevery single day.
For millions of people living with disabilities, poorly designed content isnt just frustrating. Its a barrier to growth. Inclusive learning is about fixing that. And today, AI is helping us build digital learning thats smarter, kinder, and accessible to everyone.
Accessible learning increases engagement, retention, performance, and inclusivity for everyone. Inclusive design is simply better design.Security Tips for Enterprise Azure Solutions
Security Tips for Enterprise Azure SolutionsMichele Leroux Bustamante
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Delivering solutions to Azure may involve a variety of architecture patterns involving your applications, APIs data and associated Azure resources that comprise the solution. This session will use reference architectures to illustrate the security considerations to protect your Azure resources and data, how to achieve Zero Trust, and why it matters. Topics covered will include specific security recommendations for types Azure resources and related network security practices. The goal is to give you a breadth of understanding as to typical security requirements to meet compliance and security controls in an enterprise solution.Down the Rabbit Hole Solving 5 Training Roadblocks
Down the Rabbit Hole Solving 5 Training RoadblocksRustici Software
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Feeling stuck in the Matrix of your training technologies? Youre not alone. Managing your training catalog, wrangling LMSs and delivering content across different tools and audiences can feel like dodging digital bullets. At some point, you hit a fork in the road: Keep patching things up as issues pop up or follow the rabbit hole to the root of the problems.
Good news, weve already been down that rabbit hole. Peter Overton and Cameron Gray of Rustici Software are here to share what we found. In this webinar, well break down 5 training roadblocks in delivery and management and show you how theyre easier to fix than you might think.June Patch Tuesday
June Patch TuesdayIvanti
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Ivantis Patch Tuesday breakdown goes beyond patching your applications and brings you the intelligence and guidance needed to prioritize where to focus your attention first. Catch early analysis on our Ivanti blog, then join industry expert Chris Goettl for the Patch Tuesday Webinar Event. There well do a deep dive into each of the bulletins and give guidance on the risks associated with the newly-identified vulnerabilities. AudGram Review: Build Visually Appealing, AI-Enhanced Audiograms to Engage Yo...
AudGram Review: Build Visually Appealing, AI-Enhanced Audiograms to Engage Yo...SOFTTECHHUB
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AudGram changes everything by bridging the gap between your audio content and the visual engagement your audience craves. This cloud-based platform transforms your existing audio into scroll-stopping visual content that performs across all social media platforms.
Why Its Critical to Have an Integrated Development Methodology for Edge AI,...
Why Its Critical to Have an Integrated Development Methodology for Edge AI,...Edge AI and Vision Alliance
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For the full video of this presentation, please visit: https://www.edge-ai-vision.com/2025/06/why-its-critical-to-have-an-integrated-development-methodology-for-edge-ai-a-presentation-from-lattice-semiconductor/
Sreepada Hegade, Director of ML Systems and Software at Lattice Semiconductor, presents the Why Its Critical to Have an Integrated Development Methodology for Edge AI tutorial at the May 2025 Embedded Vision Summit.
The deployment of neural networks near sensors brings well-known advantages such as lower latency, privacy and reduced overall system costbut also brings significant challenges that complicate development. These challenges can be addressed effectively by choosing the right solution and design methodology. The low-power FPGAs from Lattice are well poised to enable efficient edge implementation of models, while Lattices proven development methodology helps to mitigate the challenges and risks associated with edge model deployment.
In this presentation, Hegade explains the importance of an integrated framework that tightly consolidates different aspects of edge AI development, including training, quantization of networks for edge deployment, integration with sensors and inferencing. He also illustrates how Lattices simplified tool flow helps to achieve the best trade-off between power, performance and efficiency using low-power FPGAs for edge deployment of various AI workloads.Why Its Critical to Have an Integrated Development Methodology for Edge AI,...
Why Its Critical to Have an Integrated Development Methodology for Edge AI,...Edge AI and Vision Alliance
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