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I don't know who to attribute this to. I hope they don't mind I posted this. It was passed to me via email.
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I don't know who to attribute this to. I hope they don't mind I posted this. It was passed to me via email.
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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.
Why Teams call analytics are critical to your entire business
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Retrieval augmented generation (RAG) is the most popular style of large language model application to emerge from 2023. The most basic style of RAG works by vectorizing your data and injecting it into a vector database like Milvus for retrieval to augment the text output generated by an LLM. This is just the beginning. One of the ways that we can extend RAG, and extend AI, is through multilingual use cases. Typical RAG is done in English using embedding models that are trained in English. In this talk, we’ll explore how RAG could work in languages other than English. We’ll explore French, Chinese, and Polish.
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Welcome to this session on UiPath Manufacturing and AI. In this session, we will discuss the importance UiPath plays with technology in the manufacturing and we will do an overview of AI and Document Understanding. Please join us to hear from UiPath and Community experts on why you might consider leveraging UiPath in manufacturing. Topics covered Community team overview The importance of UiPath technology for manufacturing UiPath AI and Document Understanding overview What is Document Understanding? DU Process Studio Template Components of DU Framework Q&A Speakers: Sebastian Seutter, Senior Industry Practice Director, UiPath, Inc. Priya Darshini, UiPath MVP RPA Solutions Architect Dzmitry Belanovski, Account Executive, UiPath, Inc.
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Following the popularity of “Cloud Revolution: Exploring the New Wave of Serverless Spatial Data,” we’re thrilled to announce this much-anticipated encore webinar. In this sequel, we’ll dive deeper into the Cloud-Native realm by uncovering practical applications and FME support for these new formats, including COGs, COPC, FlatGeoBuf, GeoParquet, STAC, and ZARR. Building on the foundation laid by industry leaders Michelle Roby of Radiant Earth and Chris Holmes of Planet in the first webinar, this second part offers an in-depth look at the real-world application and behind-the-scenes dynamics of these cutting-edge formats. We will spotlight specific use-cases and workflows, showcasing their efficiency and relevance in practical scenarios. Discover the vast possibilities each format holds, highlighted through detailed discussions and demonstrations. Our expert speakers will dissect the key aspects and provide critical takeaways for effective use, ensuring attendees leave with a thorough understanding of how to apply these formats in their own projects. Elevate your understanding of how FME supports these cutting-edge technologies, enhancing your ability to manage, share, and analyze spatial data. Whether you’re building on knowledge from our initial session or are new to the serverless spatial data landscape, this webinar is your gateway to mastering cloud-native formats in your workflows.
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Tracing the root cause of a performance issue requires a lot of patience, experience, and focus. It’s so hard that we sometimes attempt to guess by trying out tentative fixes, but that usually results in frustration, messy code, and a considerable waste of time and money. This talk explains how to correctly zoom in on a performance bottleneck using three levels of profiling: distributed tracing, metrics, and method profiling. After we learn to read the JVM profiler output as a flame graph, we explore a series of bottlenecks typical for backend systems, like connection/thread pool starvation, invisible aspects, blocking code, hot CPU methods, lock contention, and Virtual Thread pinning, and we learn to trace them even if they occur in library code you are not familiar with. Attend this talk and prepare for the performance issues that will eventually hit any successful system. About authorWith two decades of experience, Victor is a Java Champion working as a trainer for top companies in Europe. Five thousands developers in 120 companies attended his workshops, so he gets to debate every week the challenges that various projects struggle with. In return, Victor summarizes key points from these workshops in conference talks and online meetups for the European Software Crafters, the world’s largest developer community around architecture, refactoring, and testing. Discover how Victor can help you on victorrentea.ro : company training catalog, consultancy and YouTube playlists.
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In today's digital world, trust is key to customer relationships, but keeping it is a huge challenge. Customers are well-informed and empowered, quick to change brands if their trust is broken, even if it costs them more. This puts a lot of pressure on organizations to handle trust and safety issues with great care and transparency. The challenge, however, is real. Fragmented solutions have left privacy, legal, and security teams in a perpetual cycle of catch-up, struggling to update privacy notices, manage customer data rights, and answer lengthy security questionnaires—all while trying to prove ROI to the business. It's a thankless job, filled with repetition, tedious tasks, and constant interdepartmental coordination. Combine this with fast regulatory changes and the quick evolution of AI, and it becomes overwhelming. Join this webinar to learn more about TrustArc's new innovative solution Trust Center, the only unified, no-code online hub for trust and safety information built for privacy, security, compliance, and legal teams. Trust Center streamlines your path to compliance, shortens the pre-sales cycle, and reduces both legal and regulatory risks, saving time, effort, and cost. This webinar will review: - Why companies are building unified Trust Centers for a robust privacy program. - How unified Trust Centers streamline sales cycles, ensure regulatory compliance, and reduce operational bottlenecks. - How compliance, legal, security, GRC, and privacy teams benefit from a unified Trust Center in terms of needs, pains, and outcomes. - How TrustArc Trust Center saves time and work while reducing legal, reputational, and compliance risk by effectively managing policies, notices, terms, and disclosures, and providing real-time updates on subprocessors.
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Quantum computers are rapidly evolving and are promising significant advantages in domains like machine learning or optimization, to name but a few areas. In this keynote we sketch the underpinnings of quantum computing, show some of the inherent advantages, highlight some application areas, and show how quantum applications are built.
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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.
Why Teams call analytics are critical to your entire business
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Retrieval augmented generation (RAG) is the most popular style of large language model application to emerge from 2023. The most basic style of RAG works by vectorizing your data and injecting it into a vector database like Milvus for retrieval to augment the text output generated by an LLM. This is just the beginning. One of the ways that we can extend RAG, and extend AI, is through multilingual use cases. Typical RAG is done in English using embedding models that are trained in English. In this talk, we’ll explore how RAG could work in languages other than English. We’ll explore French, Chinese, and Polish.
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Welcome to this session on UiPath Manufacturing and AI. In this session, we will discuss the importance UiPath plays with technology in the manufacturing and we will do an overview of AI and Document Understanding. Please join us to hear from UiPath and Community experts on why you might consider leveraging UiPath in manufacturing. Topics covered Community team overview The importance of UiPath technology for manufacturing UiPath AI and Document Understanding overview What is Document Understanding? DU Process Studio Template Components of DU Framework Q&A Speakers: Sebastian Seutter, Senior Industry Practice Director, UiPath, Inc. Priya Darshini, UiPath MVP RPA Solutions Architect Dzmitry Belanovski, Account Executive, UiPath, Inc.
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