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CharmSeeker: Automated Pipeline Configuration for Serverless Video Processing 😎 Video processing is crucial for numerous cloud-based applications and typically involves a series of pipelined stages. These stages align well with the granular nature of the emerging serverless computing model, provided they are adjusted to meet the specific cost and timing needs of video tasks. However, most existing tools for setting up these configurations are designed for traditional virtual machine clusters and generic tasks. CharmSeeker, is a tool that fine-tunes configurations for serverless video processing workflows automatically. Tackling the real-world application issues, a working model on AWS Lambda is also crafted. The testing shows that CharmSeeker can successfully discover optimal or near-optimal settings, enhancing processing times by as much as 408.77%. Additionally, it proves to be more dependable and adaptable for a range of video processing tasks than other leading methods. Please read more from here: https://lnkd.in/eNUjMpuX #videoanalytics #prexable #videoprocessing #cloudcomputing
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Sr Account Manager @ Honeywell | Enterprise Mobility Services | Automation & AI Fan | Customer Centric Enthusiast
Real-time alerts without noise. Seamless pivoting between monitoring and investigation with unified data including integrated logs. Reduce the complexity in your network If you are looking for a modern monitoring platform that provides a single source of truth to the organization, DM me or set up time to meet with us at AWS re:Invent. https://lnkd.in/gWG6Xvyh #awsreinvent #technology #efficiency
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Build well-architected IDP solutions with a custom lens Part 2: Security Building a production-ready solution in AWS involves a series of trade-offs between resources, time, customer expectation, and business outcome. The AWS Well-Architected Framework helps you understand the benefits and risks of decisions you make whi... https://lnkd.in/eMEeb9yA #AI #ML #Automation
Build well-architected IDP solutions with a custom lens Part 2: Security
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Chatbot & IVR Technical Consultant, NLP - MS Bot, DialogFlow(ES/CX), Google CCAI, Lex, Einstein, AWS Connect,
Big Announcement by AWS Connect: Now display the interactive messages ( i.e Cards, List..) without user input. It means now without AWS Lex you can trigger the interactive messages i.e at Welcome prompt. The video described: - How to use View - How to collect user selection - Sample code in Git - Links to further improve the UI component. Video Link https://lnkd.in/dax6a3yV #aws #awsconnect #interactivemessage
Without User Input show Interactive message/view “Cards” at Welcome Prompt | Amazon Connect chatbot
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We are adding new set of capabilities to the copilot experience. This includes code interpreter which will generate code to execute in an Azure sandbox to finish the user task while leveraging all the data assets that we already have (search, user generated file, etc.). This makes copilot much more powerful in terms of how it can help our users. https://lnkd.in/giTsRWVT
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Senior Account Executive | Business Development Manager | Hi-Tech Global ISV | Enterprise Commercial at Microsoft
Microsoft Build 2024 Key Announcements Day 1: * Phi-3-vision is now available in Azure * A new Real-Time Intelligence within Microsoft Fabric * Copilot Studio to empower developers to build copilots * GitHub now has its first set of Copilot extensions * Microsoft introduces Team Copilot * GPT-40 now available in Azure AI Studio #Innovation #AI #Azure #Build #New
Microsoft Build 2024: Key products announced on Day 1
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AI/ML, DevOps & DevSecOps SME for Tech Marketing @ VMware Tanzu. M.Sc, CCIE 9961 Emeritus, CKA/CKAD/CKS, VCIX, CISSP
Asking the chatbot questions was so 2023, time to step up to multi-agent workflows with Microsoft’s awesome new multi-agent framework Autogen and it’s simple, easy-to-use no code web app, Autogen Studio. We will run it on Tanzu Kubernetes Grid on vSphere using vscode dev containers to grok it with cloud server performance with a local desktop UX, strap in and come along for the ride! In Part 1 of this video we will dive into the future of artificial intelligence with our latest exploration of multi-agent workflows and Microsoft's Autogen Studio. In this engaging session, we uncover the potential of AI in streamlining day-to-day tasks, enhancing CICD pipelines, and integrating complex automations. Learn about the power of breaking down intricate problems using multiple AI agents, each an expert in its field. We also provide a deep dive into Autogen Studio, contrasting it with other robust platforms like Lama Index and Langchain. Discover its unique features, including conversable agents and compatibility with a wide range of large language models. Join us on this journey to the forefront of AI innovation, where we unravel the capabilities of multi-agent systems and offer a glimpse into the advanced AI applications of 2024. For more insights and detailed guides, follow our journey on our blog. View the companion blog for this post: https://lnkd.in/gN6jZJRY Part 2 of this 2-part video: https://lnkd.in/gsthcJtQ
Video: Bootstrap your multi-agent workflows the easy way with AutoGen Studio on Kubernetes Part 1 | VMware
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On a Mission Building Next Gen Digital Infrastructure | AI Data Centers | AI Compute | GPU Cloud | AI Cloud Infrastructure Engineering Leader | Hyperscalers| Cloud,AI/HPC Infra Solutions | Sustainability | 9K Linkedin
Deploy fast, safe, engaging experiences. All at the edge. Fastly Compute Compute is an advanced serverless platform built on open standards that runs your code, in your favorite language, on our global edge network. It’s designed to address the requirements of modern application development by empowering customers to run code in a highly secure execution environment with microsecond cold start times, at scale, on the edge. https://lnkd.in/gzeUka8u
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Here’s your definitive guide to #Kubernetes observability. New platform adoption always involves planning and testing out tools before production. Read up on how this crucial technology has reshaped engineering teams, and how to make it a part of your #observability tool box! https://okt.to/Ywteg8
Your definitive guide to Kubernetes observability
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