Microsoft certified professional developer imamuddinwp

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Microsoft certified professional developer imamuddinwp

দোয়া কুনুত বাংলা উচ্চারণ সহ দোয়া কুনুত বাংলা দোয়া কুনুত আরবী দোয়া কুনুত ডাউনলোড pdf দোয়া কুনুত আহলে হাদিস দোয়া কুনুত সূরা দোয়া কুনুত কোন সূরার অংশ দোয়া কুনুত সূরা দোয়া কুনুত আরবী বাংলা উচ্চারণ সহ দোয়া কুনুত ডাউনলোড pdf দোয়া কুনুত বাংলা ছবি দোয়া কুনুত দোয়া মাসুরা দোয়া কুনুত আল্লাহুম্মা দিনি ফিমান হাদাইতা দোয়া কুনুত কোন সূরার অংশ বিতর নামাজে হাত তুলে দোয়া

আয়াতুল-কুরসি-বাংলা-পিডিএফ

imamuddinwp Imam Uddin

আয়াতুল কুরসি বাংলা আয়াতুল কুরসি বাংলা উচ্চারণ আয়াতুল কুরসি আরবি আয়াতুল কুরসি তেলাওয়াত আয়াতুল কুরসি আরবি ও বাংলা উচ্চারণ আয়াতুল কুরসি ছবি আয়াতুল কুরসি pdf আয়াতুল কুরসি আরবি আয়াতুল কুরসি বাংলা উচ্চারণ pdf আয়াতুল কুরসি বাংলা উচ্চারণ ভিডিও আয়াতুল কুরসি pdf আয়াতুল কুরসি এর উপকারিতা আয়াতুল কুরসি আরবি ছবি আয়াতুল কুরসি আরবি pdf আয়াতুল কুরসি ১০০ বার

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imamuddinwp Imam Uddin

Paper presented at SYNERGY workshop at AVI 2024, Genoa, Italy. 3rd June 2024 https://alandix.com/academic/papers/synergy2024-epistemic/ As machine learning integrates deeper into human-computer interactions, the concept of epistemic interaction emerges, aiming to refine these interactions to enhance system adaptability. This approach encourages minor, intentional adjustments in user behaviour to enrich the data available for system learning. This paper introduces epistemic interaction within the context of human-system communication, illustrating how deliberate interaction design can improve system understanding and adaptation. Through concrete examples, we demonstrate the potential of epistemic interaction to significantly advance human-computer interaction by leveraging intuitive human communication strategies to inform system design and functionality, offering a novel pathway for enriching user-system engagements.

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Sidekick Solutions uses Bonterra Impact Management (fka Social Solutions Apricot) and automation solutions to integrate data for business workflows. We believe integration and automation are essential to user experience and the promise of efficient work through technology. Automation is the critical ingredient to realizing that full vision. We develop integration products and services for Bonterra Case Management software to support the deployment of automations for a variety of use cases. This video focuses on the notifications, alerts, and approval requests using Slack for Bonterra Impact Management. The solutions covered in this webinar can also be deployed for Microsoft Teams. Interested in deploying notification automations for Bonterra Impact Management? Contact us at sales@sidekicksolutionsllc.com to discuss next steps.

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Watch this recorded webinar about real-time monitoring of application performance. See how to integrate Apache JMeter, the open-source leader in performance testing, with InfluxDB, the open-source time-series database, and Grafana, the open-source analytics and visualization application. In this webinar, we will review the benefits of leveraging InfluxDB and Grafana when executing load tests and demonstrate how these tools are used to visualize performance metrics. Length: 30 minutes Session Overview ------------------------------------------- During this webinar, we will cover the following topics while demonstrating the integrations of JMeter, InfluxDB and Grafana: - What out-of-the-box solutions are available for real-time monitoring JMeter tests? - What are the benefits of integrating InfluxDB and Grafana into the load testing stack? - Which features are provided by Grafana? - Demonstration of InfluxDB and Grafana using a practice web application To view the webinar recording, go to: https://www.rttsweb.com/jmeter-integration-webinar

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As AI technology is pushing into IT I was wondering myself, as an “infrastructure container kubernetes guy”, how get this fancy AI technology get managed from an infrastructure operational view? Is it possible to apply our lovely cloud native principals as well? What benefit’s both technologies could bring to each other? Let me take this questions and provide you a short journey through existing deployment models and use cases for AI software. On practical examples, we discuss what cloud/on-premise strategy we may need for applying it to our own infrastructure to get it to work from an enterprise perspective. I want to give an overview about infrastructure requirements and technologies, what could be beneficial or limiting your AI use cases in an enterprise environment. An interactive Demo will give you some insides, what approaches I got already working for real.

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