Ashish Kuthiala

“I propose that a true multicloud service provides an out-of-the-box solution to customers that spans multiple clouds, is fully supported in a multicloud configuration, is procurable in a single transaction, and provides a unified operational and availability model as a cohesive service,” says Nathan Thomas, VP of Multicloud at Oracle. As usual, this definition frames multicloud as a model that includes Oracle, AWS, Google Cloud and Microsoft Azure. For almost three years now, I’ve been talking about “true multicloud” as something fundamentally different. Not just hyperscalers. But a model that spans: • hyperscalers • niche public clouds like DigitalOcean and Alibaba Cloud • European providers such as IONOS, OVHcloud, Gcore, Leaseweb, Scaleway, Exoscale, and others • plus on-prem and private cloud environments Because that’s the direction the world is actually moving in. And that’s exactly what we make operable with the emma ❘ Cloud Management Platform. https://lnkd.in/e_hVygSN

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From UC4 to SaaS, Automic has been driving automation innovation for more than 25 years. In this blog, @Jennifer Liharik walks through key milestones, from zero-downtime upgrades to AI-powered features, and what’s next for Automic in a cloud-first world. Read it here: https://lnkd.in/dfcJy2-D

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Excited for our portfolio company Provarity and their new launch of ‘Instynx’, a native AI pre-sales platform designed to accelerate sales velocity by increasing win rates and dramatically shortening sales cycles. Gone are the days of relying on clunky CRM tools, spreadsheets, emails, and Slack to proactively manage POC’s, POV’s and pilots (if you’ve ever sold to large enterprises you’ve suffered enough). Early customer results suggests this will be a game-changing offering that will have profound impact on sales organizations, operating performance and growth rates. If you currently rely on proof-based selling you gotta check this out! #Provarity #Instynx #NativeAI #Presales #CheyenneVC

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CAI can be a game-changer—if done right. Join this exclusive, no-fluff session with two industry leaders: 👩‍💼 Donna Fluss – President, DMG Consulting LLC 🧠 Anne Jenkins – VP, Solutions Architecture, Teneo.ai They’ll unpack the real-world lessons that separate transformational CX success stories from CAI projects that fall short. This isn’t another hype session—it’s a conversation grounded in results. You’ll walk away with: 🔧 Practical implementation tactics that actually work ⚡ Speed-to-value strategies that don’t compromise compliance 🧭 Proven playbooks from high-performing enterprise deployments Webinar: CAI Implementation Best Practices That Deliver September 3 | 🕛 12:00 EDT / 18:00 CEST https://lnkd.in/dqTP3wwN The future of CX is already here. Make sure you’re doing it smarter. #ConversationalAI #CustomerExperience #CXStrategy #CAI #TeneoAI #DMGConsulting #ContactCenter #DigitalTransformation Spencer Noble Kristen McFadden Gandhi Patrik Rosenberg Anne Jenkins Howard Leary II Benjamin Kolz, PhD Tim Bartz Yoleidy Carvajal Ramazan Gurbuz Andrea Flores Miralles Iman Gozal M. Molly Poole John Perrin Chris McManus Graziella Gioia Michael Kenney Lee A. Kayne Jon Cedercreutz Henry Danser Jeff Mazur Per Ottosson Fredrik Törgren

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A new architectural pattern is emerging to enable AI scaling throughout the enterprise. The future isn’t limited to batch or streaming methods—it's a combination of both. This approach is unified, resilient, and AI-ready, featuring hybrid data integration that allows batch and streaming data to work seamlessly together. Shout out to Chandni Sinha for her recent blog on the capabilities of watsonx.data integration. Check it out to see where IBM Data, AI & Automation is taking modern data engineering for the future. https://lnkd.in/emW_D4rM

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Yesterday, the IBM acquisition of Confluent officially closed...and if the Red Hat acquisition taught us anything, it’s that $11B valuations usually lead to "Cloud Pak" bundles and gated source code. As Jeff Mery breaks down in his latest deep dive, the "IBM Cycle" often trades community-driven innovation for high-margin proprietary features and aggressive audits. If you’re tired of the "Streaming Tax" and want to see how 100% upstream, diskless Kafka can slash your infra costs by 97% before your roadmap gets "IBM-ified," this is the one article you need to read today. Read the full analysis and see the breakdown here: https://lnkd.in/dZ9bBt5V

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This new article takes a close look at how Azul’s latest innovation, JVM Inventory, is reshaping the way organizations manage and migrate their Java environments -- especially as licensing complexity and audit risks continue to grow. Check it out here. #Java #JVMInventory #OpenJDK #OracleJava

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Oracle Globally Distributed Exadata Database on Exascale Infrastructure Unleashed Oracle Globally Distributed Exadata Database on Exascale Infrastructure prioritizes lowering costs, enabling customers to run a variety of distributed workloads, including agentic AI, analytics, and transactional application. https://lnkd.in/gbdSU6Tk

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    An Introduction to Haystack 5, What is it and why does it matter?   Here is the link to the Project Haystack Webinar conducted Wednesday, July 25.   https://lnkd.in/edVdj9_G   This webinar emphasized the critical role of metadata validation in achieving true interoperability in smart buildings and introduced Xeto, a new open-source tool and specification repository, as the foundation for Haystack 5’s next-generation capabilities. As building systems become more connected, intelligent, and application-driven, the need for consistent, validated metadata has never been greater. https://lnkd.in/eTJT4gQh #ProjectHaystack #HaystackTagging #SemanticTagging #Haystack4 #Haystack5 #xeto #HaystackData #SmartData #SemanticData #MetadataMatters #DataInteroperability #OpenDataStandards #OTData  

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Workato's Enterprise MCP Servers are by far one of my favorites products to market in this AI craze. Why? Because they are turnkey. Easy to deploy. And cover the most common use cases with the apps you already love and use to run your business. But the real reason? Workato's Enterprise MCP platform offers a governed control plane that makes any AI agent enterprise-ready from day one. Security. Audit trails. RBAC. Composability across systems. The stuff IT needs before they'll let AI touch production. Most teams are stuck choosing between: → Building MCP servers from scratch (slow, fragile, expensive to maintain) → Letting AI connect to systems with zero governance (risky, unscalable) Workato is the middle way. Here is the latest batch of pre-built MCP servers released this week. We're releasing new pre-built MCP servers every Monday. Follow along! #mcpMonday #enterpriseMCP #agentic #ai #gotomarket https://lnkd.in/gHjZyE9M

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Very insightful discussion on the GCC evolution in the age of AI. Good to hear the validation of our journey at FIS and our global #AI strategy, along with some fresh insights from the participants. Thank you for the session Steve Dunkerley and Saurabh Gupta.

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