Kirk Compton

IBM THINK is happening now in Boston…. Enterprise Customers are firmly supporting a number of key priories regarding AI. 1). TRUST is critical. Both the data used to train models and the governance used to ensure they act consistently in accordance with policies, intent and regulatory environments. 2) OPEN provides critical flexability to use the right model - for the right use-cases. 3) ECONOMICS matter - to go from pilot to production requires both a compelling aggregate business case and efficient inferencing unit-costs.

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Select your preferred #replication strategy to for high availability and disaster recovery - you can now choose new built-in Raft replication with Oracle Database 23ai or Oracle Data Guard. Discover what's new with Oracle Globally Distributed Autonomous Database Service: https://lnkd.in/gnrhRUuM

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Oracle Cloud Infrastructure (OCI) Supercluster with Nvidia H200 GPUs is now generally available. Can provide up to 260 Exaflops of FP8 performance

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The latest Spring '24 updates to our atma.io connected product cloud have arrived. New features include: ➡️ A new factory dashboard giving one unified view of the packing process to enhance inventory accuracy and ensure precision and traceability. ➡️ A new supply chain map offering a bird's-eye perspective of your supply chain, helping to simplify things like compliance checks, origin verification and product tracking.  ➡️ The ability to generate #GS1 logistics labels directly in atma.io - crucial for the smooth running of supply chains.  Congratulations to the team for the continuous innovation that unlocks greater traceability and visibility across global supply chains.  Find out more here: https://lnkd.in/dsSeTRkY #supplychain #traceability

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Maximizing the efficiency and collaboration in the global value chain within complex discrete manufacturing demands a commitment to technological innovation and operational excellence. Read more in my Forbes article below. #manufacturing #supplychain #innovation #collaboration #digitaltransformation #aerospaceanddefensemanufacturing #digitalmanufacturing

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The pendulum has always swung between centralized and distributed processing. The last two decades has been dominated by cloud computing. Over the next few decades we will see the pendulum swing back back to Edge computing. #EdgeComputing ClearBlade #IoT #IIoT #IntelligentInfrastructure

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How to improve your AI apps? Check out the exciting new capabilities from the DELL Data Lakehouse fully integrated with Starburst. #ai #delldatalakhouse #starburst.io

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From planning sales calls and managing talent to paying vendors, learn how the new #AI agents embedded in Oracle Fusion Apps can automate dozens of tasks across business operations: https://lnkd.in/gX7wiWxB

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At IMTS - International Manufacturing Technology Show, Praveen Rao, Managing Director, Manufacturing, Google Cloud, joins Drew Crowe, manufacturing's motivational speaker and hots, in the Creators Lounge to discuss how manufacturers can move beyond the AI hype to deliver business results. AI can synthesize vast amounts of information from technical equipment manuals and procedures, elevate the customer service experience and accelerate product support, provide sales recommendations based on historical sales data or give greater visibility across complex supply chain networks. Recent Google Cloud research shows that 60% of manufacturers have already moved gen AI use cases into production. To adopt gen AI with confidence and unlock its full potential, manufacturers need to ground their innovation in enterprise systems and accurate data. Visit Google at IMTS to learn more. See you there! #AI #IMTS #Manufacturing #GoogleCloud

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I'm thrilled to share a recent DevOps.com article featuring BMC Software's commitment to simplifying mainframe management through generative AI. I'm incredibly proud of our team's innovation in developing #BMCAMI DevX Code Insights. This AI-powered tool is a testament to our commitment to simplifying complex mainframe tasks and empowering developers to focus on higher-value activities. By providing real-time code insights and explanations, we're accelerating development cycles and enhancing code quality. I encourage you to read the full article to learn more about how we're redefining the mainframe landscape. https://loom.ly/XRBhmh0 #AI #MainframeTransformation #DevOps

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The sale of IBM's Qradar is a one-sided win. Not for IBM... but for the Palo Alto network. Palo Alto is about 15 years old with $8B in revenue, growing at roughly 20% YoY. IBM is a 100+ year-old company with $66B in revenue, growing at 2% YoY. Their security revenues have rather fallen recently. For IBM, this is a play of operational efficiency, defining its priorities, and focus. But, for Palo Alto, this is another rocketship deal. It gives them: 💡 Access to a Gartner-leading SIEM solution. 💡 Access to a massive customer base 💡 1000s of IBM sales reps who will now sell Palo Alto solutions.

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This will make life easier for researchers, product designers, and anyone diving into their data. Analyzing large datasets will be orders of magnitude faster, and product design gets a creative boost with quick concept testing and broader "what if" scenarios accessed by natural language. Well done—this should drive a ton of third-party innovation.

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Oracle today announced the general availability of HeatWave #GenAI, including in-database LLMs, an automated in-database vector store, and the ability to have human-like contextual conversations in natural language. https://lnkd.in/gyYajfP6

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Learn about new Oracle GoldenGate 23ai features that allow vector replication and functionality that enables real-time #AI processing in a distributed environment. https://lnkd.in/e9dZCwwj

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ICYMI – Checkout @Diginomica’s @JonERP and me talk all things @Oracle - from @OracleCloud to @OracleDatabase to @OracleApplications – all #CloudWorld takeaways.

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Very interesting article on the changing face of AI. The core of this changing approach is that the AI models are being tuned to the specific needs of the industry or domain so they become more contextually aware.

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