Manju Devadas

Oracle ERP Cloud Is Saas from Oracle Corporation and hyperledger Platform Is evolving to Support at GL and Inventory Level soon. However, there are integrations and partnerships that hint at similar technology or functionalities: 1. **Hyperledger Fabric and Oracle Blockchain**: There's evidence of integration work between Oracle's blockchain solutions and Hyperledger Fabric, which is a blockchain framework implementation and one of the Hyperledger projects hosted by The Linux Foundation. For instance, integration between Overledger (which supports Hyperledger) and Oracle Blockchain Platform, aimed at enabling interoperability. 2. **Oracle's Blockchain and Cloud Solutions**: Oracle has its own blockchain platform which can be integrated into its cloud services, including Oracle ERP Cloud, to enhance features like supply chain tracking, interoperability, and secure data sharing. This isn't labeled as "Hyper Ledger" but serves functionalities you might expect from blockchain integrations. 3. **Integration Through Middleware and APIs**: Oracle ERP Cloud can be integrated with various blockchain solutions through middleware, APIs, or third-party services that could theoretically involve Hyperledger technologies, although not explicitly mentioned as "Oracle Hyper Ledger Integration." For example, Oracle's integration solutions allow for the connection with external applications, which could include blockchain ledgers for purposes like transaction validation, record keeping, or smart contracts. 4. **Community and Enterprise Uses**: From X posts and broader web results, there's interest and discussion around integrating blockchain technologies (which could be based on Hyperledger Fabric or others) with ERP systems for enhanced security, traceability, and automation. However, these are often custom solutions or partnerships rather than a standardized "Oracle Hyper Ledger" product. 5. **Oracle's Focus on Interoperability**: Partnerships and integrations mentioned in various posts, like those with Google Cloud or other blockchain and oracle services (like Pyth Network or SUPRA), indicate Oracle's interest in interoperability and providing blockchain-compatible or integrated solutions, though not under the specific label of "Hyper Ledger." Given this context: - If there's an integration or product specifically named "Oracle Hyper Ledger," it hasn't been widely publicized or documented in mainstream Oracle documentation or announcements up to my last update. All India Oracle Users Group (AIOUG) Dallas Oracle Users Group - However, Oracle does actively engage in blockchain technology integration with its enterprise solutions, which might be what you're referring to under a different or more generalized terminology. These integrations typically aim to enhance the capabilities of Oracle ERP Cloud with blockchain's distributed ledger technology for various enterprise applications. Rapidflow Inc

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#GenAI models necessitates training on extensive datasets, which in turn requires robust #cloud storage solutions. As Gen AI continues to advance, demand for cloud services would surge correspondingly, creating a symbiotic growth relationship b/w the two. https://t.ly/9Rg-C

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📅 A new version of the Oracle Database is upon us. Dubbed Database 23ai, it highlights AI, more specifically how to connect it to data, of various types and models. We wrote a substantial piece on this latest long-term support, which sunsets the use of 'c' and replaces it with 'ai'. We take it to mean that the era of 'ai' has well and truly begun, and has replaced (or should we say, augmented) the era of cloud. Read all about Oracle Database 23ai in the story below 👇 #database23ai #artificialintelligence #techzine

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Hear from Oracle's Greg Pavlik on their #GenerativeAI approach and how they value the open architecture of the models from both Cohere and Meta—making it easier for Oracle to customize and fine-tune them for enterprise applications. https://lnkd.in/gnBcNduj

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[1 Slide] Event Report - #Oracle keeps rolling across #Cloud, #DB, Apps and #AI https://buff.ly/3zgoEaq - A strong showing by Oracle that is on a roll across its wide porfolio. @LarryEllison is close to close his 50 year quest: Be the @IBM of the 21st century #CloudWorld

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Knowledge Graphs (KGs) are positioned at the center of Gartner's 2024 Impact Radar as a critical enabler for emerging technologies. They enhance data discovery, classification, and organization, improving the effectiveness of GenAI tools like Large Language Models (LLMs). KGs help enterprises connect and contextualize vast amounts of data, enabling more accurate insights and decision-making processes. This technology is particularly valuable for improving AI accuracy, supporting knowledge-intensive workflows, and increasing the explainability of AI models. Bottom Line is: You can't do AI without an ingestion engine, AKA the Knowledge Graph. KGs prime your data, ensuring it is clean, deduped and accurate. This is the necessary precursor to employing any ML modeling or creating any algorithms designed to generate useful outputs and actionable insights from your data. #knowledgegraphs #graphdatabases #AI #ML #LLMs #dataunification #EquitusAI #EquitusEnterprise

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Listen to this recent episode of Oracle Life Sciences' Research In Action podcast to hear how clinicians, researchers, and scientists are leveraging AI to diagnose and treat cancer. https://lnkd.in/ggK8VSUU

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𝗥𝗲𝘃𝗼𝗹𝘂𝘁𝗶𝗼𝗻𝗶𝘇𝗶𝗻𝗴 𝗦𝘂𝗽𝗽𝗹𝘆 𝗖𝗵𝗮𝗶𝗻𝘀 𝘄𝗶𝘁𝗵 𝗚𝗲𝗻𝗲𝗿𝗮𝘁𝗶𝘃𝗲 𝗔𝗜 Generative AI is revolutionizing supply chain management by automating complex tasks and providing actionable insights. From demand forecasting to inventory optimization, Generative AI will enable businesses to operate more efficiently and respond swiftly to market changes #artificialintelligence #largelanguagemodels #GenerativeAI #airevolution

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6 key takeaways by Anurag Aggarwal, on how #ConversationalAI is revolutionizing customer experiences and driving operational efficiency: 1- Conversational AI thrives when it continuously learns from interactions. Regular feedback and audits ensure it meets evolving customer needs. 2- Ensure AI systems comply with privacy regulations like GDPR and CCPA, and prioritize data security to foster customer confidence. 3- To engage a global audience, businesses must offer AI support across multiple channels and languages, ensuring seamless, accessible experiences. 4- A hybrid approach—AI for simple queries, while human agents for complex issues, both combines efficiency with empathy. 5- Success metrics includes response times, customer satisfaction, and purchasing trends to track Conversational AI's impact. 6- AI systems can enhance both efficiency and customer trust when learning, privacy, and human collaboration go hand in hand. Via "One Expert, One Topic" series by TJ Thinakaran #AI #DataPrivacy #Security #Omnichannel #MultilingualAI #HumanAI #CustomerSupport #SuccessMetrics #BusinessStrategy #CustomerTrust

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Wondering how you can align your AI strategy with your organization’s overall goals? Join Usha Thothathri as she shares secrets from the Oracle Playbook for AI Excellence. Register now: https://lnkd.in/g8u4PKmd

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Oracle Cloud Infrastructure (OCI) provides a robust suite of services tailored for developing and deploying artificial intelligence (AI) applications. Leveraging OCI's scalable infrastructure, organizations can efficiently build and deploy AI models. Essential AI services on OCI include: - Machine Learning: OCI Machine Learning offers a managed platform for constructing, training, and deploying machine learning models. It features automated hyperparameter tuning, model deployment, and management capabilities. - Data Science: OCI Data Science fosters a collaborative environment for scientists to explore, analyze, and visualize data. It seamlessly integrates with other OCI services to streamline the AI development workflow. - Autonomous Database: The OCI Autonomous Database is a self-driving database designed to store and manage data essential for AI applications. It boasts self-tuning, self-repairing, and self-securing functionalities. AI Services: OCI delivers specialized AI services, such as computer vision, natural language processing, and speech recognition. These services offer pre-trained models and APIs for easy integration into applications. Rapidflow Inc, led by Adil M., is a prominent player that harnesses these cutting-edge AI services on OCI for innovative solutions. #OracleCloud #AI #Innovation

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Oracle is enhancing its Fusion Cloud Customer Experience (CX) offerings with new generative AI capabilities designed to automate and accelerate critical workflows in sales, marketing, and customer service. The new AI tools will assist in creating personalized responses for customer inquiries, optimizing scheduling for service agents, and generating targeted content for marketing campaigns. ➜ Check the news at: https://lnkd.in/d-wr6TUV ➜ Vendorvise's official Instagram: https://lnkd.in/ebK2KQ2C ➜ Vendorvise's Linktree: https://lnkd.in/dQdbMdth 🤖 If you enjoy reading my posts about AI and tech news, hit that like button and share with your friends to support my content! #ai #artificialintelligence #ainews #aipowered #news #blog #oracle #cx #customerexperience #cloud #cloudcomputing #generativeai #llms #tokens #aitech #tech #technology #hardware #content #socialmedia #future #new #launch #business #techtrends #innovation #success #markets #people

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Data protection via use of Custom AI.. Highlights -- 1. Entrprises are customizing AI applications with thier own business data using Retreeval Augmanted Generation (RAG). 2.By connecting AI models to handpicked data source RAG enables faster ,effective and case specific generative AI deployment 3.Using RAG the copilot pulls live database on local servers keepinh all computer operations secure and in-house. 4. For many organisation biggest challenge to achieve AI success lies in collecting and praparing right data to train effective model. #GenerativeAI #data #privacy #LLM #copilot #businessorganisation #HBR #NIVIDEA #GALTER #Profmkb #galterprofmkb

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