From mastering the fundamentals to getting expert guidance, this Generative AI Success Kit is your go-to resource for practical insights, strategies & essential tools. Explore our resources 👉 https://go.aws/3SGYAuI
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With considerable conversation taking place around Generative AI, particularly its application within the business ecosystem, it can be hard to distinguish what is hype and what will become our day-to-day reality. In the new Deloitte whitepaper co-created with Amazon Web Services (AWS), we help demystify Generative AI, providing you with pragmatic tactics to successfully integrate this constantly evolving technology into your business strategy. Learn more, and discover how Deloitte and AWS helped Chorus, New Zealand’s largest telecommunications utility company, improve productivity with generative AI - https://deloi.tt/4cZOVIy
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Owning AI capabilities is now becoming a baseline requirement. The real focus is on how to monetize it effectively. Join industry leaders from AWS, PwC, and Zuora for a live panel discussion on May 29th, where they will explore strategies for monetizing AI and implementing consumption-based pricing. Link in the comments.
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Discover how #FinancialServices organizations improve #CustomerExperience and streamline operations with #generativeAI agents built on #AmazonBedrock 👉 https://go.aws/3Xzuvkq Read this blog to learn how to build a full-stack generative AI assistant on #AWS by launching your own Financial Services Agent.
Build generative AI agents with Amazon Bedrock, Amazon DynamoDB, Amazon Kendra, Amazon Lex, and LangChain
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Want to move your media to the cloud while enhancing metadata with AI? Media2Cloud v4 on AWS now adds dynamic frame analysis, auto face indexing, scene & ad break detection.
📢 Media2Cloud update to V4! What’s new? Dynamic frame analysis, auto face indexing, scene & ad break detection, more metadata by leveraging generative AI and other AI/ML services. The Guidance for Media2Cloud on AWS demonstrates a serverless ingest and analysis framework that can quickly set up a baseline ingest and analysis workflow for placing video, image, audio, and document assets & associated metadata under the management control of AWS customers. The solution sets up the core building blocks that are common in an ingest and analysis strategy. Learn more: https://go.aws/4aJ5cQw
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12 days to go ... I've organized my agenda for #MicrosoftBuild and I am sharing 2 sessions daily that I am excited to attend, why, and hear from you if I am missing out on anything! If you aren't registered yet don't worry - register for #MicrosoftBuild today (in-person/online options): https://aka.ms/build-promo Session Recommendation 1: Create Generative AI experiences using Phi https://lnkd.in/eHU5RAED Phi is the topic of the day, however the pattern this session is describing is super important to understand, what is done locally, what is done in the cloud, and what machine type to use is very important in Gen AI - a topic that is 🔥in this fast paced developer driven world. Session Recommendation 2: Code-First LLMOps from prototype to production with GenAI tools https://lnkd.in/eENs7Dfm The movement from "what can Gen AI do?" to "how do I get it to production?" has been so fast for a technology trend - with these questions come new innovations, tooling and approaches - SDKs are often at the heart of that for developers. This sessions abstract really does cover end-to-end LLMOps with #AzureAIStudio and #VSCode #MSBuild #GenAI #copilots #events #developer Samuel Kemp Yufeng Li lo kinfey Lee Stott Cassie Breviu Dan Taylor Marc Baiza #Olive #phi3 #SLM #codefirst #llmops
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📢 Media2Cloud update to V4! What’s new? Dynamic frame analysis, auto face indexing, scene & ad break detection, more metadata by leveraging generative AI and other AI/ML services. The Guidance for Media2Cloud on AWS demonstrates a serverless ingest and analysis framework that can quickly set up a baseline ingest and analysis workflow for placing video, image, audio, and document assets & associated metadata under the management control of AWS customers. The solution sets up the core building blocks that are common in an ingest and analysis strategy. Learn more: https://go.aws/4aJ5cQw
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We just released the V4 of the Media2Cloud guidance. What’s new? Dynamic frame analysis, auto face indexing, scene & ad break detection, more metadata by leveraging generative AI and other AI/ML services. The Guidance for Media2Cloud on AWS demonstrates a serverless ingest and analysis framework that can quickly set up a baseline ingest and analysis workflow for placing video, image, audio, and document assets & associated metadata under the management control of AWS customers. The solution sets up the core building blocks that are common in an ingest and analysis strategy.
📢 Media2Cloud update to V4! What’s new? Dynamic frame analysis, auto face indexing, scene & ad break detection, more metadata by leveraging generative AI and other AI/ML services. The Guidance for Media2Cloud on AWS demonstrates a serverless ingest and analysis framework that can quickly set up a baseline ingest and analysis workflow for placing video, image, audio, and document assets & associated metadata under the management control of AWS customers. The solution sets up the core building blocks that are common in an ingest and analysis strategy. Learn more: https://go.aws/4aJ5cQw
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If you want quickly see the metadata you can produce from ML and AI for your video and images, go get this CloudFormation template and load it on your AWS account. You will see technical summaries, know which celebrities appear in which scenes, identify brands and objects, get transcripts that can then produce captions and translations, AI summarization, find text, items in your video that are similar to something your can buy on Amazon and links to those items, that can be offered in your player, recognize scenes, and on and on. Go check it out and let me know if u get stuck or have questions :)
📢 Media2Cloud update to V4! What’s new? Dynamic frame analysis, auto face indexing, scene & ad break detection, more metadata by leveraging generative AI and other AI/ML services. The Guidance for Media2Cloud on AWS demonstrates a serverless ingest and analysis framework that can quickly set up a baseline ingest and analysis workflow for placing video, image, audio, and document assets & associated metadata under the management control of AWS customers. The solution sets up the core building blocks that are common in an ingest and analysis strategy. Learn more: https://go.aws/4aJ5cQw
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In today’s fast-paced AI landscape, Generative AI (GenAI) isn’t just a trend—it’s a game-changer. But what does it really take to harness its power? Is your data strategy ready to fuel the next wave of AI-driven innovation? 🤔 💡 Join #Denodo and Amazon Web Services (AWS) for an exclusive "Breakfast and Learn" event at the AWS Partners offices in New York City, where we’ll reveal the secrets to unlocking enterprise-ready data for GenAI. Dive into real-world use cases, and uncover practical strategies to set your business apart. 👉 Don’t miss this opportunity to gain the insights, tools, and strategies you need to accelerate data readiness and lead in the era of #GenerativeAI. Register to attend here! https://buff.ly/3BncoFz
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AllCloud partnered with Amazon Web Services (AWS) last week to host an executive dinner focused on driving innovation and growth through GenAI. We spent the evening with our customers as they shared their learnings and real-world perspectives with GenAI. 🚀 Looking to learn more about how GenAI can enhance your existing business processes, improve decision-making and drive innovation? Check out our two week Generative AI & ML assessment designed to: ✅ Identify ways AI and ML can help your organization ✅ Uncover opportunities only now possible with GenAI ✅ Provide a roadmap for implementation Learn more here: https://lnkd.in/g66GFaiU #GenAI #AWS #AWSPartner #ML
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