Gagan Gulati

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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With AI adoption and deeper integration into enterprise products, the world moves toward being collectively intelligent. First movers will have a distinct advantage. Fully backward-integrated AI companies are best positioned to win on economics.

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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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I recently interviewed Harshit Omar, Co-Founder & CTO of FluidCloud, and asked him three direct questions about what recent cloud outages really mean for enterprises. His answers cut through the noise — on:
• Why “multi-cloud” often isn’t truly resilient
• Where most enterprises are still exposed to risk
• What real cloud portability actually looks like in practice Great read!

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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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As we continue to help our customers and partners transform consumer experiences across industry sectors from healthcare to retail to media & entertainment, I am incredibly excited to share the announcement of Google Cloud’s strategic partnership with BRAHMA AI — a pioneering company scaling high-fidelity, interactive “digital humans” for global enterprises. Hear it from CEO Prabhu Narasimhan himself — or rather, from his digital human “ATMAN”.

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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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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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Very happy to share that Vinay Rao is joining Samaipata as an Operating Partner. Vinay brings deep AI expertise built over decades at the frontier, including senior roles at Anthropic and Google, where he worked on real product and security challenges. He understands not just what these systems can do, but where they break. He is based in San Francisco and serves as CTO of ROOST.tools, a non-profit developing open source infrastructure aimed at improving safety standards across online platforms in the tech ecosystem. After joining our Annual Summit and leading a session on some of the toughest questions in AI today, including reliability, misuse and misalignment, it became clear that he could bring immense value to our community. We wanted to bring his expertise closer to our founders. As an Operating Partner, Vinay will mentor founders of our portfolio companies on critical decisions from day one. In early stage companies, choices around AI architecture, security and governance define speed, defensibility and long term risk. For our founders, having Vinay involved at those moments will make a real difference. Welcome to the team, Vinay. Excited for what is ahead! Thank you to Cinco Días for the coverage. More information in the link in the comments (in Spanish).

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