Sharad Bajaj

Leveraging the power of computing, optimization and AI models to generate scenarios is the way forward. Stacking exercises that take weeks can be done in a fraction of the time with real time data backed insights and responses. We empower space planners to get recommendations on the best use of space to spend time in making major strategic decisions instead of worrying about the mundane tactical tasks and data handling.

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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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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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Midmarket customers need simplicity, not hyperscale complexity. 🧩 While AWS, Azure, and Google Cloud were built for global scale, they often fall short for businesses that value clarity, control, and real support. This white paper breaks down the key challenges—like opaque pricing, overengineering, and vendor lock-in—and shows why more partners are choosing CaaB. ✅ Transparent pricing ✅ Turnkey disaster recovery ✅ No lock-in Download the white paper to explore how a purpose-built platform like CaaB - Cloud as a Business helps reduce risk, not shift it.

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Generative AI's rapid adoption is driving substantial datacenter expansion across the U.S., signaling a remarkable shift for small communities like Abilene, Texas! - Small business creation (from hospitality to retail) - Development of new housing - Increased demand for air travel and logistics services https://lnkd.in/gksj83Hj #AIEconomy #DatacenterExpansion

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In conversation with ITNews Asia, Oracle's Tirthankar Lahiri shares why 2026 could be a tipping point for intelligent data platforms. As enterprises operationalise AI, vectorised data, converged architectures, and built-in trust will define the next phase of innovation. https://lnkd.in/gNthADeV

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"For these models to reach their peak value, you need to train them not just on publicly available data, but make privately owned data available for those models as well," - Ellison https://lnkd.in/gM6FskzJ

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Exciting news! We’re investing $17.5B in India to accelerate AI adoption at population scale. This move will empower millions with new opportunities and innovation. 🌍 Learn more: https://msft.it/6046tiNOa

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Infosys launches over 200 enterprise AI agents powered by Infosys Topaz™ and Google Cloud's Vertex AI, enhancing efficiency and precision across industries 🚀 and transforming complex workflows 💡.

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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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