Clement Selvaraj Juney

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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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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If adoption depends on connectivity, compute, data and skills, then investing in those “enablers” is not just a cost but a strategic play. Without the foundation, ROI from AI initiatives is limited https://msft.it/6049t3LDb

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Ahead of last week's India AI Impact Summit, one of the largest conferences, Vinod Khosla, respected VC and co-founder of Sun Microsystems, sparked a debate with his prediction that IT and BPO services will disappear in the next five years due to AI. The Indian IT services industry has already seen a $50 billion market capitalization loss in 2025 due to growth uncertainties. Recent AI plugin launches with prospects of automation raise questions about the necessity of traditional IT services, as Agentic workflows begin to replace conventional IT systems. Phil Fersht elaborated on this topic, referencing a blog by Vijay Vijayasankar, emphasizing that the transition will not be straightforward due to procurement inertia, buying behavior, and the continued need for human involvement. Moreover, it will be an evolution just like for all other industries, rather than a collapse. Phil says: Vinod is correct about the velocity of change, while Vijay highlights the constraints that exist. It is clear that IT and BPO companies must adapt to capture budgets shifting toward Agentic applications rather than relying on SaaS or traditional app development. While I agree with all above, I would like to add that securing AI budgets is not straightforward. A notable trend is that enterprises are increasingly inclined to conduct AI development in-house, driven by employee enthusiasm for building AI skills. AI app-dev is not mundane work to outsource, it is becoming a core and critical competency to develop inhouse. This shift towards in-house development means less reliance on outsourcing. Additionally, traditional IT and BPO service companies need to adjust their expectations regarding profit margins, as maintaining high profits of 20+ percentage is no longer feasible. One former CEO of an IT services giant reiterated that profit margins is the first priority of the IT services companies. This is a critical time for research and development, skill-building, and competitive sales and they become often a victim to aggressive expectations in profits. I discussed the above debate and more from the AI Impact Summit, the Gemini 3.1 Pro launch, and the rise of Personal Agents in the latest episode of The AI Files. Please check it out and share your perspectives! Jaime Basilico #TheAIFiles #GenAI 🎞️ YouTube Channel: https://lnkd.in/enUN4PDK 🎧 Apple Podcast: https://lnkd.in/eAxumKFw

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How do you measure an ROI on AI implementation? Should India merely look at AI transformation as a choice to increase efficiency or as a necessity to global economic participation? I recently spoke to Microsoft's Deputy General Counsel Antony Cook, during his India trip, about his take on how workflows will look in the years to come. Do watch!

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Last year, I shared my thoughts on how AI would reshape education over the next decade. Just 9 months later, the shift is already underway. AI tools are evolving rapidly, influencing more than just formal education. Here’s my updated take on how education is being disrupted — and what’s next: 📉 1. The Decline of Traditional Educational Institutions Students have long spent years preparing for exams to get into top universities, chasing high-paying jobs. But AI and global shifts are changing this. Education’s definition is evolving. Soon, fewer will chase traditional degrees and more will design their own learning journeys. ⏳ 2. Problem-Solving Gets Harder — as Attention Spans Shrink Education once built resilience through trial and error. Now, with AI doing much of the work, deep thinking risks fading. Gen Z’s 8-second attention span raises the question: Is being a scientist easier with AI? Or does it just look easier, while deeper skills erode? 🚀 3. The Rise of the Young Entrepreneur Accessible tech, AI literacy, and funding fuel a new generation of builders. As #PeterThiel said: “The most valuable businesses of coming decades will be built by entrepreneurs who seek to empower people rather than try to make them obsolete.” Young founders are creating AI-driven solutions that amplify human potential. 💸 4. The Reality Check: Financial Chaos Still Awaits Launching a product is easier, but building a sustainable company isn’t. Founders face financial stress, market uncertainty, and emotional tolls. Success requires grit and resilience. 🔁 From Work Hard to Work Smart We’re moving from “work hard” to “live smart, do more with less.” Traditional education may soon be an accessory, not a necessity. The future won’t ask, “Where did you study?” It will ask, “What did you create? Who did you empower?” What do you think? ✅ Are we ready for a post-university era? ❓ Is being a scientist easier with AI? Let’s debate 👇 #FutureOfEducation #AI #Entrepreneurship #EdTech #GenZ #ReimagineLearning #PeterThiel #WorkSmart #InnovationDebate https://lnkd.in/gASWFAnb

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🤖 Building AI-powered applications often means stitching together search, APIs, and recommendation layers. In this post, Microsoft Principal Program Manager Sajeetharan Sinnathurai walks through how to combine Azure Cosmos DB with the Vercel AI SDK to build a streaming, agentic AI product assistant that can query real-time data, orchestrate tool calls, and deliver conversational experiences. Read the full walkthrough: https://msft.it/6043QPFD5 #AzureCosmosDB

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