Alvina Antar

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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Vianai Systems, Inc.'s badass CTO, Navin Budhiraja, doing his thing. Insightful interview on the technological, professional and societal implications of AI and the need for enterprise grade AI technology to truly drive business performance.

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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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NVIDIA, Oracle Cloud, and Hammerspace demonstrate massively optimized AI storage at Oracle AI World this week. - Up to 7x improvement in latency vs. traditional cloud file storage - Up to 6x improvement in storage performance vs. traditional cloud file storage - Checkpointing at extreme speeds, crushing idle time. - Throughput so fast it keeps GPUs fed 24/7, not waiting on data. - Policy-driven flexibility to move cold data to lower-cost tiers without touching the hot path. Join Raj Sharma's talk in the NVIDIA booth to learn more!

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One line in this piece tends to surprise people, especially when it comes to system evaluation: “𝘐𝘧 𝘰𝘶𝘳 𝘣𝘦𝘯𝘤𝘩𝘮𝘢𝘳𝘬𝘴 𝘴𝘩𝘰𝘸 𝘮𝘰𝘳𝘦 𝘵𝘩𝘢𝘯 𝘢 50% 𝘴𝘶𝘤𝘤𝘦𝘴𝘴 𝘳𝘢𝘵𝘦, 𝘸𝘦’𝘳𝘦 𝘱𝘳𝘰𝘣𝘢𝘣𝘭𝘺 𝘯𝘰𝘵 𝘣𝘦𝘪𝘯𝘨 𝘢𝘮𝘣𝘪𝘵𝘪𝘰𝘶𝘴 𝘦𝘯𝘰𝘶𝘨𝘩.” That mindset grew out of many small failures and iterations. The point isn’t lowering the bar for quality. It’s raising the bar for how we measure systems and drive real improvements. This article reflects on that journey, from Flash Fill to today’s agentic systems, and why user flow, system evaluation, and human judgment matter in practice. Thanks to Anshika Mathews for capturing this so thoughtfully.

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AI in Silicon Valley vs. Elsewhere In this reel, Amit Rai, GM of AI and Enterprise Cloud at Vultr, shares his perspective on the difference between AI in Silicon Valley and AI being built elsewhere. He explains the unique ecosystem, mindset, and resources in Silicon Valley that make it stand apart. Watch the Full Episode of Code Chaos Clarity here - https://lnkd.in/gVxd-jNp #AmitRai #ArtificialIntelligence #SiliconValley #GlobalAI #CodeChaosClarity #TechLeadership #AI #CloudComputing #Innovation #FutureOfTech #AIInsights

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Coming soon: A new guide from Karat to help leaders update their rubrics and competencies for the human + AI era. In my recent conversations with engineering leaders at companies like Hewlett Packard Enterprise, NVIDIA, and Visa about how they’re transforming their workforces in 2026, I keep hearing the same concern – “the expectation is that my org will deliver massive change… but our hiring process no longer reflects how engineering work actually gets done.” Why are leaders identifying this as their biggest challenge? Because most evaluation criteria were designed for a pre-AI world. And when the criteria are outdated, organizations end up optimizing for the wrong signals and missing out on exceptional #talent that can help them show value, meet or exceed revenue goals, and more. At Karat, we believe that if AI has changed the job, it must change the hiring process, starting with the technical interview. That means #engineering leaders need to intentionally evolve their evaluation criteria to reflect AI-era competencies and shift rubrics toward: • How candidates frame and solve problems • How they design systems and reason about tradeoffs • How they communicate their thinking • How effectively they collaborate with AI as a tool, not a crutch Our upcoming guide is about helping leaders make that shift practically, responsibly, and at scale. More insights on how #AI is changing candidate behavior, where #hiring funnels are breaking, and why traditional interviews no longer work: https://lnkd.in/dUGE-xym

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Good AI depends on clear rules of communication.  MCP gives AI clear boundaries.  A2A conversations allow AI systems to talk, adapt, and collaborate intelligently.

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