Dan Feld

Great share Jennifer Talley! Strong collaboration between two of our leading technology partners - Red Hat and NetApp. #OpenShift #DataProtection #Virtualization #containers #ITPirateShip DM me to learn about how One Technology can help.

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Gretchen Stewart of Intel joins Pondering AI to break down why asking why, embracing complexity, and doubling down on data matter more than ever. She and Kimberly explore the risks of conflating GenAI with AI, how workflow engineering and multidisciplinary teams strengthen outcomes, why silos slow progress, and how curiosity, governance, and diversity fuel better decisions in an increasingly interconnected world. Listen here: http://2.sas.com/6046hGIQo

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The Ivanti Partner Network just earned a 5-Star rating in the 2026 CRN Partner Program Guide. CRN evaluates on the things that actually matter: incentives, enablement, certifications, and whether a vendor actually shows up when things get hard. The Ivanti APJ team looks forward to bringing exactly that to partners across the region this year. If you’re thinking about where to place your bets, Ivanti’s door is open.

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Real-time knowledge is the missing link in many AI applications. Tavily is bridging that gap. By connecting large language models (LLMs) to fresh, reliable web data, Tavily makes agents smarter, faster, and more useful. We sat down with the Tavily team to learn how they got started, how they use MongoDB to scale, and why web-connected agents are the future. Read the story here: https://lnkd.in/gixpk3NK

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#AI agents to perform in production need fresh and realtime data. Confluent and Google Cloud are enabling that across Industries and Markets!

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At C3 AI, we’re defining the next leap in enterprise automation with AI agents — systems that can perceive, reason, plan, and act to achieve real business outcomes. Our latest white paper, What Is an AI Agent?, explores what sets these systems apart and how they’re transforming enterprise productivity. Read the paper here: http://spr.ly/6043A79ED

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Hey, I made it to the big screen! As I mention in this interview, the hyperscale market is one of the most dominant forces shaping our industry in 2026. IDC forecasts that hyperscale and shared cloud infrastructure spending will continue to outpace the broader market, driven by sustained investment from hyperscale providers supporting AI and large scale workloads. At the same time, Gartner projects global data center spending will surpass $650B in 2026, with hyperscale cloud providers driving the majority of that growth through continued infrastructure investment. At Ingram Micro, we’ve made deliberate investments to lead in this space and to guide our partners as they build hyperscaler engagement into their infrastructure strategies. The opportunity ahead is substantial, and we’re committed to helping partners accelerate their growth. 🚀 #IngramMicro #Hyperscaler #DigitalAcceleration

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Big moment for Asymbl. We’ve expanded our multi-year collaboration with Salesforce; Deepening a partnership that’s been core to how we build from day one. With Agentforce 360, Data 360, and Slack and Salesforce’s forward deployed engineering team alongside ours; we’re accelerating how organizations orchestrate work across humans and digital workers. We don’t just talk about hybrid workforce models. We operate one. And we bring those real world orchestration patterns directly to our customers. What excites me most isn’t just the partnership; It’s what it unlocks: - AI-first workforce applications. - New digital workers. - Responsible scale. The agentic enterprise isn’t theoretical anymore. It’s operational. Proud of our team.

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Exponential growth is the standard. With LLMs advancing as rapidly as they are, we can't longer rely on workflows that don't advance in parallel. We have to continuously adapt our systems and processes to keep pace with the capabilities of the latest models.

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Automic Automation has come a long way—from UC4 to a full SaaS offering built for today’s cloud-first, AI-powered world. In her latest blog, Automic’s Long History of Innovation, @Jennifer Liharik shares insights from longtime solution architect @Dave Kellermanns on the milestones, challenges, and innovations that have shaped Automic over the past 25+ years. Read more: https://lnkd.in/dzCU4qh3

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More than half of what IT departments currently buy as SaaS could migrate to AI, and that estimate is probably larger than many enterprise software budgets have been built around. Arthur Mensch said exactly that at the AI Impact Summit last week, a view that Bipul Sinha of Rubrik separately reinforced, pointing specifically to workflow software as the category most exposed, and I read that and thought, yeah, that resonates with where enterprise technology conversations are heading. That qualifier about having the right infrastructure in place is where many enterprise AI initiatives quietly run into trouble. The enterprises that are positioned to take advantage of this replatforming moment are the ones that already meet the data infrastructure prerequisite Mensch described. The ones that did not are finding, in many cases, that the gap is harder to close than it might appear, and a lot of enterprise environments may not yet be there. The displacement appears to be concentrating at the workflow layer, where much of the expensive and aging software in many enterprise stacks happens to sit today. Systems of record are not going anywhere, but that layer above them is where Mensch sees the replatforming opportunity taking hold.

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AI insights powered by OCI are helping Oracle Red Bull Racing predict, adapt, and perform with precision during every lap. Learn how: https://lnkd.in/egbgFuTR

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AI chatbots are super cool but how does one make that serve real-world enterprise tasks? OCI AI Agent Platform, a next frontier in Generative AI, automates complex real-world enterprise workflows. In the latest first principles blog, Egor Pushkin and I discuss how OCI AI Agent Platform works: https://lnkd.in/gN9kC6mC

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It’s not hyperbole: Oracle was early in bringing AI capabilities directly into its Database, enabling enterprise AI w one of the industry’s richest feature sets - more impressive is the speed at which they continue to evolve. This is foundational for enabling enterprise-class AI across Oracle’s full application suite, all while delivering an AI jump-start to nearly every industry app built atop Oracle DB. Coupled with the AI-driven growth that’s made Oracle Cloud Infrastructure the fastest-growing public cloud provider, and you quickly realize this isn’t the same Oracle we all grew up with. #NotSponsored #JustAFan

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IBM just launched new AI agentic capabilities with IBM watsonx Orchestrate. Here’s what you’re getting: 1️⃣ Pre-built agents for Sales and Procurement packaged up with domain-expertise, integrations, and tools 2️⃣ Agent and Flow Builders to make it easier to build and scale your own agents 3️⃣ Agent Analytics to enable builders to monitor agent performance and debug agent execution 4️⃣ AI Gateway to bring your own model or use IBM Granite

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2025 Prediction #4: “Indian cloud providers will rise and grab more market share, challenging the top 3 hyperscalers.” Score: 0.2 (I was Mostly Wrong here) Indian cloud challenge turned out more David vs. Goliath – without the slingshot. In 2025, the “top 3” global cloud titans (AWS, Azure, Google) still hogged 87% of India’s cloud infrastructure market. Local players like Reliance Jio’s Cloud, Airtel’s Nxtra, Tata Communications’ offerings, etc., made ambitious moves – marketing “sovereign cloud” solutions and touting lower costs for Indian customers. The government’s data sovereignty push gave them a little boost. But did they put a dent in Amazon’s or Microsoft’s numbers? Hardly. It was reasonable to imagine 2025 might finally see an Indian cloud unicorn roaring. Jio and Airtel did invest heavily in AI and new data centers, trying to leverage their telecom customer base. Yet the reality: enterprises still largely trust the big American hyperscalers for reliability and features. The local upstarts found that competing with AWS’s sprawling services and Google’s AI chops is like trying to outrun a cheetah on a bicycle. By end of 2025, the “rise” of Indian cloud providers was modest at best – more a gentle incline than a spike. Here's the prediction post from last year: https://lnkd.in/ggzd_U8N

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Oracle is proud to partner with the Department of the Navy and the NEPTUNE CMO team to deliver a comprehensive Oracle Cloud Infrastructure (OCI) landing zone, allowing Oracle to bring the latest AI advancements to help maximize the value of the Department of the Navy’s data.

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Agentic AI will create a ~$1 trillion global market for agentic AI services globally. This is an incredible opportunity for our partner ecosystem to lead and define the category. 90%+ of enterprises are planning to deploy agentic AI in the next three years. To seize this opportunity, software and services firms must evolve. Our latest analysis includes a strategic framework to shift from implementation to co-designing transformative workflows and innovating commercially. Read my thoughts on where the biggest opportunities are across different industries to develop custom agents on our leading AI platform, commercialize through the Google Cloud Agent Marketplace and make available to users on Agentspace: https://lnkd.in/gjF_PZxc

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