Govind Agarwal

Microsoft is NOT laying off people (in another "new" round) due to AI (at least directly) but to keep putting money in AI. It is doing so, apparently, in attempt to "offset" expenses (capex and opex) in AI. So creating and maintaining AI is costly -- very costly - so only way you can salvage the situation is by "firing people"

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We're excited to share that MongoDB for Academia is partnering with HCL GUVI and Telangana Academy for Skill and Knowledge (TASK) as part of our mission to upskill 500,000 developers across India.🇮🇳 By 2027, India will have 2.3M AI job openings but only 1.2M skilled workers. The new partnerships will help address that by: 🌍 Breaking language barriers: Teaching MongoDB in Tamil, Kannada, Telugu, and Hindi with HCL GUVI. 🎓 Expanding reach: Partnering with 100+ institutions in Telangana via TASK. Huge congrats to Raghu Viswanathan, Basavadarshan G N and the team for driving this important initiative. Check out the full story here: https://lnkd.in/duhB5UPt

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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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#AIJourneyWithMaheshRaja post #8 its been a while I wrote on my core ( AI ) Most of you know that like in any organization we at Conscendo paving our way to become an AI driven organization on par with Industrial paradigm shift that is happening, We too feel the pressure of "AI FOMO ( Feelingof Missing Out )." We see the headlines and feel we need to implement something immediately. But rushing in without a roadmap often leads to failed POCs and, more importantly, lot of invalid learning and may be a risk-scoring of breach of customer trust Here are my three main takeaways on how to approach AI the right way: 1. Identify Bottlenecks, 2. Plan for Fool proof Trust Layer 3. Nominate an AI focal point in the organization 1) In my experience with AI, The most successful AI implementations don’t start with the technology; they start with the team on the ground, check "Where and What are our bottlenecks", 2.) If AI team can’t guarantee that our proprietary data won’t be used to train public models, the risk to our brand is too high. 3) Appoint an AI Champion AI isn't just an "IT project." It requires a Single Point of Contact (SPOC) who understands both the business goals and the technical limitations. Without a dedicated champion to navigate the "hallucinations" and refine the outputs, projects often stall at the demo stage. Let’s stop racing to be first and start racing to be the most reliable. I’m curious to hear from my network-are you currently testing AI in your workflows? What has been your biggest hurdle so far? #ArtificialIntelligence #SMB #DigitalTransformation #BusinessStrategy #Leadership #AIAdaption #Salesforce #ConscendoTechnologies

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Oracle's Jenny Tsai shares about product innovation across Oracle's database portfolio to support the rapidly growing demand for AI, cloud services and data sovereignty. Read it here: https://lnkd.in/gC2ts6J8

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At AI World Vegas, Oracle’s Sharat Chander told The Times of India that young engineers can stay relevant by strengthening their fundamentals — from concurrency and performance tuning to API design — and using AI tools to accelerate, not replace, learning. https://lnkd.in/eAzFdRc5

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Microsoft CEO Satya Nadella believes 2026 will mark a pivotal moment for AI, driven not by flashy breakthroughs but by widespread, real-world adoption across industries. https://msft.it/6042t0mJa #MicrosoftEmployee

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