Rania Bayoumy

OCI's Mahesh Thiagarajan recently met with ZDNet Japan to discuss our AI infrastructure strategy including the massively scalable OCI Supercluster. Read on, to find out why the world's leading companies and LLM providers are flocking to OCI for their most demanding AI workloads. Mahesh Thiagarajan #OCI #AI https://lnkd.in/gnPWnQbf

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I love following Andre Fomin’s videos every week to learn about new patterns and features. Andre has now become a fan of Azure Cosmos DB’s new vector index with DiskANN. In my (biased) opinion, DiskANN offers the best tradeoff between cost and performance. I will simplify DiskANN concept heavily but it enables the same performance and accuracy as HSNW on disk rather than memory, making it much cheaper. #ArtificialIntelligence #MachineLearning #MicrosoftAI #DataAnalytics #BigData #TechInnovation #EnterpriseAI #Azure #CosmosDB #MicrosoftFabric #GenerativeAI #BusinessIntelligence #TechCommunity #Innovation #RAG

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What are AI agents? Think of them as the new apps for an AI-powered world. Find out how Microsoft is using agents to add new capabilities to tackle some of your biggest pain points at work and drive real business results. #msftadvocate #agents #ai https://lnkd.in/g6wHWjNm

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🔥 So many BigQuery announcements recently!! Google Cloud just announced significant advancements in its data and AI capabilities, centered around BigQuery. Key improvements include: 🚀 Enhanced BigQuery Platform: General availability of managed support for Iceberg, Hudi, and Delta Lake file formats, along with new capabilities for processing multimodal data (documents, audio, images, video). BigQuery now offers a unified platform for data and AI, connecting data to AI in real-time. 🚀 Real-time Data Ingestion and Analysis: New managed services for Flink and Kafka streamline real-time data ingestion. BigQuery continuous queries enable real-time insight activation, reducing latency from hours to seconds. The Analytics Hub data marketplace now supports real-time data sharing (preview). 🚀 BigQuery for AI: BigQuery's integration with Vertex AI allows for scalable embedding generation across various data types. General availability of LangChain integration simplifies data preprocessing, embedding generation, and vector search. Preview of ScaNN for large-scale vector search, leveraging Google Search and YouTube technology. BigQuery DataFrames enable data processing with familiar Python APIs, and a Gretel AI partnership facilitates secure synthetic data generation. 🚀 Unified Data Governance: General availability of BigQuery's unified catalog for discovering data and AI assets. Preview of BigQuery catalog semantic search allows natural language querying of assets. A new BigQuery metastore (preview) enables multiple engines to run on a single data copy. Improved governance capabilities are integrated with Looker for BI use cases. Disaster recovery capabilities ensure business continuity for both data and analytics workloads. 🚀 Conversational Data Agents: New conversational APIs enable developers to build data agents using LLMs for improved self-service data access. A conversational analytics experience with Gemini in Looker provides a natural language interface for data exploration. 💡 These enhancements significantly accelerate AI adoption by improving data accessibility, processing, and governance within the BigQuery platform. Learn more here: https://lnkd.in/eQjgDtrp #GoogleCloud #BigQuery #AI #LLM #DataGovernance

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Microsoft's chief scientist, Jaime Teevan, says get ready for another AI change... Soon AI will start prompting us, instead of the other way around! For more on her vision for how this change will help spur new ways of thinking, read her article linked below. #msftadvocate #ai #copilot https://lnkd.in/guyDhJfM

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Amazon RDS Multi-AZ deployment with two readable standbys supports 6 additional AWS Regions Three-node Multi-AZ DB Cluster is now available in Asia Pacific (Hyderabad), Asia Pacific (Melbourne), Europe (Spain), Europe (Zurich), Middle East (UAE), and Israel (Tel Aviv) Regions. This deployment option supports minor version upgrades and system maintenance updates with typically less than one second of downtime when using Amazon RDS Proxy or any one of the open-source AWS Advanced JDBC Driver, PgBouncer, or ProxySQL. https://lnkd.in/g9D9RGVB #Amazon #RDS #PostgreSQL #MySQL

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🚀 𝗚𝗼𝗼𝗴𝗹𝗲 𝗖𝗹𝗼𝘂𝗱'𝘀 𝗔𝗜 𝗔𝗴𝗲𝗻𝘁 𝗘𝗰𝗼𝘀𝘆𝘀𝘁𝗲𝗺: 𝗔 𝗡𝗲𝘄 𝗘𝗿𝗮 𝗼𝗳 𝗔𝗜 𝗔𝗴𝗲𝗻𝘁𝘀 I am so thrilled at the launch of 𝗚𝗼𝗼𝗴𝗹𝗲 𝗖𝗹𝗼𝘂𝗱'𝘀 𝗔𝗜 𝗔𝗴𝗲𝗻𝘁 𝗘𝗰𝗼𝘀𝘆𝘀𝘁𝗲𝗺, a transformative initiative designed to empower our partners in developing and deploying 𝗔𝗜 𝗮𝗴𝗲𝗻𝘁𝘀 that enhance customer experiences and streamline operations. The demand for AI agents is surging as businesses seek to automate complex tasks and personalize customer interactions. Projections indicate that by 2028, 𝟯𝟯% of enterprise software applications will incorporate agentic AI, a significant increase from less than 1% in 2024. This advancement is expected to enable 𝟭𝟱% of day-to-day work decisions to be made autonomously, underscoring the critical role AI agents will play in the future of business operations. 𝗜𝗻𝘁𝗿𝗼𝗱𝘂𝗰𝗶𝗻𝗴 𝗔𝗜 𝗔𝗴𝗲𝗻𝘁 𝗦𝗽𝗮𝗰𝗲: We're also introducing 𝗔𝗜 𝗔𝗴𝗲𝗻𝘁 𝗦𝗽𝗮𝗰𝗲, a new category in the Google Cloud Marketplace, enabling customers to easily discover and deploy partner-built AI agents tailored to their specific needs. The AI Agent Ecosystem provides our partners with the essential tools and support to develop and deliver value-driven AI solutions. It also empowers our customers to confidently select and swiftly deploy trusted, enterprise-ready AI agents built on the latest Google Cloud Product innovations, accelerating time to value and driving significant business impact. We are eager to expand our collaboration with our partners on this exciting journey to shape the future of AI-Agent driven business solutions! #Google #GCP #AI #AIAgents #VertexAI #LLM  #KnowledgeGraphs  #Enterprise #Evolution  #AI  #IntelligentOrganizations  #Google #GoogleCloud #AIAgents Alison Kenney Paul Aneesha Chhikara Yateendar Bollini Victor Morales Nenshad Bardoliwalla Jason Gelman Pramod Vasanth Rayn Veerubhotla Noel Kenehan Salim Hasham Rohit Sood Aman Azad Colleen Kapase Sabina Joseph Rodrigo Rocha Seth Siciliano Ritika Suri Abhi Kunté https://lnkd.in/gpHArCVD

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Business-differentiating #GenerativeAI experiences demand business knowledge. #MicrosoftFabric is pivotal for transforming #Data into #Knowledge ready for RAG patterns to reason over and deliver on the promise of GenAI #Responsibly at #EnterpriseScale. Here's a detailed post on how: https://lnkd.in/gu6SJZVv

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Exciting Updates from Azure AI! Microsoft has announced several new updates to Azure AI, including the introduction of Phi-3 fine-tuning and new generative AI models. These updates are designed to help organizations customize and scale their AI applications more effectively. Key highlights include: • Serverless fine-tuning for Phi-3-mini and Phi-3-medium models, allowing developers to customize models for cloud and edge scenarios without needing additional compute resources. • Improvements to Phi-3-mini, enhancing core quality, instruction-following, and structured output. • New model additions from OpenAI, Meta, and Mistral, providing greater choice and flexibility for developers. These advancements aim to empower developers to create more tailored and high-performing AI solutions #AzureAI

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Satya talked about foundation AI models at length today at #MicrosoftBuild2024, including our Phi-3 models. From an Adaptive cloud approach perspective what is happening with Small Language Models like Phi-3 is very exciting because it is enabling previously impossible use cases at the edge. Nowhere is this truer than what is happening with 📹 Azure AI Video Indexer which has just announced video summarization at the edge supporting key customer scenarios like 👷‍♀️worker safety, 🏗 jobsite compliance, 🏪 loss prevention and more. Per Inbal S. -"AI application developers can leverage APIs to create textual summaries for audio and video files, anywhere." Read more here👉 https://lnkd.in/ddbnyQfq #Azure #AzureAI #AI #VideoIndexer #AdaptiveCloud #MSBuild #AzureArc Christa St.Pierre, Lior Kamrat, Stacy Crook, Pang Ngernsupaluck, Maayan Yedidia, Lindsey R Miller, Adam Bogobowicz, Martin Tuip, IGP

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AWS and SAP have announced an expanded collaboration to enhance cloud ERP experiences and unlock new enterprise innovation with Gen AI. With this partnership, AWS and SAP are making it faster and easier for companies to apply generative AI to their core business data to become more efficient, responsive and sustainable. This collaboration with AWS is critical for SAP as we embed GenAI solutions across our ERP applications so that customers can drive innovation at an accelerated pace. Read details here: https://lnkd.in/dstFGepP https://lnkd.in/dygsyFcs #SAP #AWS #GenAI #SAPBusinessAI

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Sharing here the 3rd and final episode of the podcast (and accompanying write up) that Robert Lutton and I had the opportunity to do on navigating data transformation journeys. In this installment, we discuss the notion of adopting and practicing a "Progression over Perfection" approach to navigating the multi-dimensional change management facets of data journeys. Hope you find it useful!

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"We just signed an agreement with Meta – for them to use Oracle's AI Cloud Infrastructure – and collaborate with Oracle on the development of AI Agents based on Meta's Llama models," CTO Larry Ellison https://lnkd.in/gMbPy8eK

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Microsoft's AI model, Aurora, quickly predicts levels of six major air pollutants worldwide, including carbon monoxide and particulate matter. Read more in this article from Nature. #msftadvocate #ai https://lnkd.in/g-AppzdB

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Microsoft's Chief Responsible AI Officer, discusses the importance of responsible AI and the release of the company's first Responsible AI Transparency Report. #msftadvocate #microsoft #technology #artificialintelligence #innovation

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If I had to highlight one big announcement from Microsoft Ignite Day #1, it’s without a doubt "Azure AI Foundry"! Here's why... 💡 Outcome-Based Approach | In today’s fast-moving AI era, enterprises are searching for rapid solutions—but the market is complex and finding the right starting point can be overwhelming. What I love about Azure AI Foundry is its "model catalog". It includes foundation models from OpenAI, Mistral, Meta, and more, building on open-source models, task-specific models, and even industry-tailored solutions. Talk about making AI accessible and actionable! 🛠 Developer-First Mindset | The team has truly streamlined AI development. From unifying toolchains with an SDK to integrating Azure AI capabilities into popular workspaces like GitHub, Visual Studio, and Copilot Studio, they’ve nailed it. The AI Foundry portal also offers a visual UI to discover and scale AI applications with ease. 🏢 Enterprise-Grade AI | For enterprises, the provided templates are a huge win—think RAG Starter and multi-model orchestration. Plus, Azure AI Foundry enables the rapid development of secure, enterprise-ready AI Agents. A huge shoutout to Scott Guthrie and his team for this incredible innovation with AI Foundry and the inspiring live demo on stage today. 🙌 I also highly recommend reading Jessica Hawk’s blog post, where she connects the dots between this announcement and the Intelligent Data Platform vision she introduced to market: 👉 Jessica Hawk's Blog Post: https://lnkd.in/gnx5ZMvm Looking forward for a great Day #2! #MicrosoftIgnite #AzureAI #AIInnovation #EnterpriseAI #AIFoundry

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Our AI agents – software that can reason and perform specific business tasks using generative AI – are emerging as a powerful tool for enterprise automation and productivity.  #MSIgnite #Copilot #ai

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