Carl James’ Post

Relevant move in the cloud because Oracle is not able to compete on equal terms with the big 3 cloud infrastructures and in a smart move, it is joining its enemies. AI and the promise of revolutionising the world of technology is beginning to sweep away a large number of small startups with no financial capacity and repositioning the big players like Oracle, which outside of infrastructure like Azure or Google Cloud are seeing that their present independence could be their future demise.  Bigquery and AI Vertex, accessing Oracle customer data, have a lot of potential. And the other side of the deal is business-relevant, Cloud and data analytics are king, where is Generative AI? In this case in the background, a tool to help our work productivity. And the other side of the deal is business-relevant, Cloud and data analytics are kings, where is Generative AI? In this case in the background, a tool to help our work productivity. https://lnkd.in/dciPziTX

Interesting read on Oracle's vision for cloud.. the ability to deploy distributed AI-Cloud infrastructure into hundreds of smaller, sovereign edge locations (from cities and customer data centers to ships and submarines), and then scaling that up into massive 200 Mw AI data centers - with the EXACT same services and pricing. All of this stems from Oracle's unique Gen2 design and automation. #Oracle #OracleGDI #OraclePartners #OCI #AI #Cloud #SovereignCloud #EdgeCloud

The adoption of cloud data warehouses is driven by the need for businesses to efficiently manage and analyze vast amounts of data in real-time, enabling more informed decision-making and strategic agility. A key advantage of transitioning to cloud data warehouses is their ability to provide AI-ready data, which is essential for leveraging advanced analytics and AI technologies to gain competitive insights and optimize operations.    Discover the transformative power of cloud data warehouses with insights from Clara Angotti, President of Next Pathway Inc. he scalability and flexibility of cloud data warehouses facilitate dynamic resource allocation, seamlessly meeting the increasing demands for data.     Dive deeper into how cloud data warehouses can revolutionize your data strategy and prepare your organization for AI advancements in our full article: https://bit.ly/3TTQn8L.    #NextPathway #SHIFTCloud #CloudAutomation #CloudMigration #Snowflake #Microsoftfabric #Onelake #DataFactory #AzureSynapes #Informatica #ETL

Excited to see Oracle Database@AWS launch! 🚀 Now you can move your Oracle workloads to AWS like a boss. 💼✨ This dynamic duo is all set to supercharge your data strategy with AI/ML and advanced analytics. Check it out! Learn more https://bit.ly/3XQXFvC #Oracle #AWS #AI #ML #Analytics"

#AI, #Tech, #cloud Oracle turns rivals into partners in pursuit of cloud ambitions Oracle announced a partnership with Amazon's cloud unit, cementing its strategy of joining with once sworn rivals, and finding its own niche in the cloud and artificial intelligence era.   The Austin-based tech giant, which has lagged behind Amazon, Microsoft and Google in cloud-computing for years, has now built partnerships with all of them. And it is doing so by wielding the flagship database software that has for decades powered large businesses' operations, transactions and customer data.   Safra Catz, Oracle's chief executive, said in an interview that the major cloud providers recognize that their customers aren't doing away with Oracle databases. Rather than running them on-premises, or inside data centers, they want to use them in cloud platforms such as Microsoft Azure, Google Cloud or Amazon Web Services.   That is the basis of Oracle's alliances with those three companies, which give customers the option to use its relational databases inside its partners' cloud platforms. To enable faster processing between them, Oracle puts its own hardware inside of its partners' data centers.   In some ways, the Oracle and Amazon partnership lowers the temperature between the two companies: Oracle co-founder and Chief Technology Officer Larry Ellison has directed insults at Amazon's services, and the two have waged a decade long battle over their competing cloud and database products.   Since its rivals Google and Microsoft teamed up with Oracle earlier, Amazon was left with no choice but to join up as well, Catz said. "If they're competing with either Azure or Google or [Oracle], and they're the only ones who can't run important Oracle workloads fast and secure, that's a business killer."   At Oracle's annual conference last Tuesday, AWS Chief ExecutiveMatt Garman joined Ellison onstage. Some of AWS's customers use Oracle for their most important data, Garman said at the event, but they "wanted to run all of those mission-critical workloads inside of AWS."   #AI, #RB

Gain crucial insights into the transformative power of AI for your organization and learn how to unlock its potential through a resilient infrastructure, adaptive AI models, and secure data capabilities. Oracle #AIML #cloud #cloudinfrastructure

Like this Pradeep, Oracle is the backbone of the database for the structured data for Enterprises AI

Teradata prioritized cloud and fostered partnerships to become a platform company: CEO McMillan https://lnkd.in/g9cd4vYC #TechCircleInsights #TechCircle #techcommunity #techleaders #technologists #TechCircleUpdates #ciocommunity #TeradataCloudEvolution #TechPlatform #DataTransformation #CloudPartnerships #DigitalInnovation #TechLeadership #DataAnalytics #TechStrategy #DigitalTransformation #CloudComputing #TechInnovations #BusinessPlatform #DataManagement #CloudPrioritization Steve McMillan

Only one third of organization are realizing cloud-implementation ambitions even though nearly two-thirds have made strategic investments! My colleague Deepak Arya explores why companies are struggling to find value and shares his experience on what does work.    His advice on cloud data design and management includes:  ✅ Data ingestion needs a common format across all domains.  ✅ Use cloud-native partitioning and indexing.  ✅ Think about data security from the beginning.    Capgemini and Google Cloud are modernizing data estates and leveraging cloud and AI/ML to deliver value. Developing the right architecture and databases is vital to the success of a project.    You need a #DataAnalytics platform like Google Cloud (#GC) that can support long-term goals with the flexibility to accommodate changing needs.     Read Deepak's blog post to understand how to build an ecosystem that creates a successful data-powered organization: https://bit.ly/4epVcOm    #CloudInfrastructure #DataManagement 

Aishwarya K. explores the Oracle and Google Cloud strategic partnership, offering her expert analysis on what this means for organizations. Some early key takeaways from Aishwarya include ↴ 🔹 Innovative solutions: Businesses can now combine Oracle's secure database management with Google's advanced AI capabilities 🔹 Operational efficiency: This partnership aims to optimize workload distribution and reduce operational costs 🔹 Competitive advantage: Enterprises will gain powerful tools for smarter decision-making and enhanced productivity To Aishwarya, this partnership signals that businesses can have the best of both worlds by pairing Oracle databases and applications with Google Cloud’s innovative platform and AI functionalities. Explore more of her early thoughts here: https://hubs.ly/Q02CWmtr0 #Oracle #GoogleCloud #Cloud #OracleACE #CloudPartnership #AI #GenAI #DatabaseManagement #OperationalEfficiency #LoveYourData