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The main objective of this research paper is to understand the dynamics of a telecentre’s financial sustainability definition over the years and its applicability in the present context. The hypothesis presented here is that if a telecentre is considered as a ‘social enterprise’, which it essentially is, the definition of its financial sustainability has to be expanded to include ‘profit making’ as an important component. Only then, a telecentres will be able to fulfill its most important objective of meeting the access, information and skill development needs of its beneficiaries on a long term and in a sustainable manner. A telecentre should not be allowed to cease its activities simply because it has run out of money! Another related objective of this research is to briefly throw some light on the concept of ‘social enterprise’ and how it is understood by the telecentre operators/ managers, the people who are directly engaged in running and managing the telecentres. The researcher’s interaction with them over a period of time reveals some interesting findings, which are open for further discussions and debate.
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HBR Case study about a US based Data analysis software developing company, who is in a dilemma with the decision about globalization. The question arises here is should a company go international merely because the competition has started developing in the foreign market or should they take a first mover advantage in the home market and wait for competitor to grow? . The analysis of the case is done with following tools: 1) Porter's Diamond and 2)CAGE analysis by Mr. Pankaj ghemavat.
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The main objective of this research paper is to understand the dynamics of a telecentre’s financial sustainability definition over the years and its applicability in the present context. The hypothesis presented here is that if a telecentre is considered as a ‘social enterprise’, which it essentially is, the definition of its financial sustainability has to be expanded to include ‘profit making’ as an important component. Only then, a telecentres will be able to fulfill its most important objective of meeting the access, information and skill development needs of its beneficiaries on a long term and in a sustainable manner. A telecentre should not be allowed to cease its activities simply because it has run out of money! Another related objective of this research is to briefly throw some light on the concept of ‘social enterprise’ and how it is understood by the telecentre operators/ managers, the people who are directly engaged in running and managing the telecentres. The researcher’s interaction with them over a period of time reveals some interesting findings, which are open for further discussions and debate.
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Webinar Recording: https://www.panagenda.com/webinars/why-teams-call-analytics-is-critical-to-your-entire-business Nothing is as frustrating and noticeable as being in an important call and being unable to see or hear the other person. Not surprising then, that issues with Teams calls are among the most common problems users call their helpdesk for. Having in depth insight into everything relevant going on at the user’s device, local network, ISP and Microsoft itself during the call is crucial for good Microsoft Teams Call quality support. To ensure a quick and adequate solution and to ensure your users get the most out of their Microsoft 365. But did you know that ‘bad calls’ are also an excellent indicator of other problems arising? Precisely because it is so noticeable!? Like the canary in the mine, bad calls can be early indicators of problems. Problems that might otherwise not have been noticed for a while but can have a big impact on productivity and satisfaction. Join this session by Christoph Adler to learn how true Microsoft Teams call quality analytics helped other organizations troubleshoot bad calls and identify and fix problems that impacted Teams calls or the use of Microsoft365 in general. See what it can do to keep your users happy and productive! In this session we will cover - Why CQD data alone is not enough to troubleshoot call problems - The importance of attributing call problems to the right call participant - What call quality analytics can do to help you quickly find, fix-, and prevent problems - Why having retrospective detailed insights matters - Real life examples of how others have used Microsoft Teams call quality monitoring to problem shoot problems with their ISP, network, device health and more.
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panagenda
Abhishek Deb(1), Mr Abdul Kalam(2) M. Des (UX) , School of Design, DIT University , Dehradun. This paper explores the future potential of AI-enabled smartphone processors, aiming to investigate the advancements, capabilities, and implications of integrating artificial intelligence (AI) into smartphone technology. The research study goals consist of evaluating the development of AI in mobile phone processors, analyzing the existing state as well as abilities of AI-enabled cpus determining future patterns as well as chances together with reviewing obstacles as well as factors to consider for more growth.
Exploring the Future Potential of AI-Enabled Smartphone Processors
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These are the slides delivered in a workshop at Data Innovation Summit Stockholm April 2024, by Kristof Neys and Jonas El Reweny.
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Effective data discovery is crucial for maintaining compliance and mitigating risks in today's rapidly evolving privacy landscape. However, traditional manual approaches often struggle to keep pace with the growing volume and complexity of data. Join us for an insightful webinar where industry leaders from TrustArc and Privya will share their expertise on leveraging AI-powered solutions to revolutionize data discovery. You'll learn how to: - Effortlessly maintain a comprehensive, up-to-date data inventory - Harness code scanning insights to gain complete visibility into data flows leveraging the advantages of code scanning over DB scanning - Simplify compliance by leveraging Privya's integration with TrustArc - Implement proven strategies to mitigate third-party risks Our panel of experts will discuss real-world case studies and share practical strategies for overcoming common data discovery challenges. They'll also explore the latest trends and innovations in AI-driven data management, and how these technologies can help organizations stay ahead of the curve in an ever-changing privacy landscape.
TrustArc Webinar - Unlock the Power of AI-Driven Data Discovery
TrustArc Webinar - Unlock the Power of AI-Driven Data Discovery
TrustArc
Uncertainty, Acting under uncertainty, Basic probability notation, Bayes’ Rule,
Artificial Intelligence Chap.5 : Uncertainty
Artificial Intelligence Chap.5 : Uncertainty
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This project focuses on implementing real-time object detection using Raspberry Pi and OpenCV. Real-time object detection is a critical aspect of computer vision applications, allowing systems to identify and locate objects within a live video stream instantly.
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Partners Life - Insurer Innovation Award 2024
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presentation ICT roal in 21st century education
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Bajaj Allianz Life Insurance Company - Insurer Innovation Award 2024
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TTF Convocation HI 2 Presentation
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IFC Emerging Market
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