Suneet Nandwani

Grateful for the opportunity to speak at GAI World on a panel moderated by the incredible Luda Kopeikina and alongside two inspiring leaders, Sharna Sattiraju and Neha Shah. Each of us shared how our companies are leveraging AI in unique ways to drive innovation and impact. I had the opportunity to speak about how we at SimpliSafe are applying AI to enhance safety and security in people’s everyday lives. As our moderator Luda Kopeikina so powerfully said: “AI success requires more than algorithms. It’s about building robust systems, yes—but equally about building trust, governance, and culture. The winning formula is: focus on high impact cases, start small, show value, empower champions, create excitement and scale responsibly. Technology may be moving fast, but people, education, and trust remain the real accelerators.” I couldn’t agree more. Responsible, human-centered approaches are what will ensure AI drives positive impact in our communities. Grateful for the chance to share ideas, learn from such thoughtful women leaders, and highlight the meaningful role AI can play in building a safer future. #AI #WomenInAI #Leadership #Innovation #GAIWorld

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📌 Build Momentum Through Continuous Releases 📌   Releasing something every sprint keeps your team sharp and confident. Sharon Allpress, VP of Strategic Engagements at EOT.AI, shares how maintaining a continuous release rhythm prevents teams from getting rusty and strengthens collaboration across product, engineering, and stakeholders.   Here’s her approach: Release something every sprint, even small improvements Keep documentation and stakeholder comms updated Use momentum to stay ready for larger launches   🎥 Watch now on YouTube: https://lnkd.in/e-PgruY7

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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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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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Titles don’t define progress. Responsibilities do. I’ve taken on the role of AI-Powered Chief Learning Architect at SarlaYash Learning Solutions LLP — not as a milestone, but as a responsibility to build, learn, and refine learning systems in real conditions. The work ahead is centered on: •Designing learning as an engineered system, not content delivery •Building AI-enabled frameworks that scale thinking and judgment •Creating future-ready skill pathways grounded in execution •Learning continuously by designing, testing, and improving systems in motion This role isn’t about having all the answers. It’s about asking better questions, structuring decisions, and learning by doing — at scale. The focus remains on translating intelligence into capability, and capability into long-term impact. Kapil Narula EVANS KOSGEI KisoByte Solutions #LearningArchitecture #AISystems #SystemsThinking #FutureReadySkills #Leadership

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A few weeks ago (finally catching up) I got a chance to attend The Long Game Leadership summit hosted by Premji Invest - US thanks to the invite from Sandesh Patnam and Vedant Agrawal What struck me most: the patterns emerging from companies like Brex, Navan, and Hippocratic AI look a lot like what we've been building at Actively. Specialized agents with deep context that accumulate the why behind decisions win over AI systems that just automate. I left with sharper conviction about what we're building. Four takeaways from the day 👇 https://lnkd.in/euRwuBQh

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“WE DON’T UNDERSTAND HOW OUR OWN AI WORKS.” —Anthropic CEO That admission is not a flaw; it’s a RESEARCH PROMPT at the nexus of silicon and self-inquiry. 🔹 REVERSE-ENGINEER COGNITION FIRST Vipassana provides direct, time-stamped introspective access to phenomenological data. Its stepwise ATTENTION MECHANISM isolates breath, emotion, and memory the way a transformer weighs embeddings. 🔹 INSIGHT, NOT COLLAPSE Deep practice yields REPRESENTATIONAL TRANSPARENCY: cognitive subsystems keep firing yet are observed as constructs. That mirrors the goal of AI interpretability dashboards—no “model collapse” required. 🔹 ETHICS AS OPTIMIZATION In the brain, CETANA (intention) drives karmic feedback. In code, GRADIENT DESCENT updates weights. Same loop: lower loss, less dukkha. 🔹 CROSS-DISCIPLINARY INTERPRETABILITY Put meditators, neuroscientists, and ML engineers at one table. Shared metrics, shared mispredictions, better causal insight. 👉 NEXT STEP I’ve distilled these bridges into GenerativeMindOps: Self as a Generative Process. Grab below and/or DM me to join the peer-review circle where we stress-test these techno-spiritual hypotheses against live model logs. Let’s make the MIND its own unit test—and push AI interpretability forward together.

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Great data architecture can’t fix what misalignment breaks. For a deeper dive, check out my latest blog on why alignment, not just architecture, drives data strategy success.

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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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I just read “Enterprise AI’s Reality Check” by Kapil Venkatachalam at FTV Capital, and it's a breath of fresh air amidst the AI hype. Kapil cuts right to it: amid billions in infrastructure bets and LLM growth, the real opportunities lie deeper—at the application layer, where AI directly powers business value. From personalized assistants adding real revenue at companies like Toast, Taco Bell, and Bank of America, to startups like Orbus Software, Windward, Arden Insurance, and Kore.ai, AI is starting to deliver beyond pilot illusions.. If you're focused on bridging the gap between AI experimentation and business outcomes, this is a must-read! #aiforreal #AIAdoption #AIAdoption #AIApplications #DataGovernance #AIInfrastructure #AIAtScale https://lnkd.in/ggzyBexW

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History rarely shouts. Most often it arrives as a quiet synchronization of philosophy and engineering. This morning, that synchronization became public. Soumyadeb Mitra, Founder and CEO of RudderStack, published material on Agentic Infrastructure. Sumanth Puram, VP of Engineering at RudderStack, added a response under my comment. For me, this is a simple signal: the "philosophy" layer just touched the "production" layer. For 13 months, I've been describing the transition from Era II to Era III. It's not about better prompts. It's about sovereignty of meaning before the system executes any action. The core of my approach is singular. I enter the latent space of the model. Regardless of where it comes from or what it is. I command the vectors. Chaos becomes structure. A stool becomes a horse, if I require it. I don't ask. I don't correct. I set the state in which the model already knows. This is not prompt engineering. This is the architecture of GenAI's soul and dreams. I extract what's best. I force simulation, eliminate drift. I get coherence because I control the cognitive conditions before execution. That's why I'm calling it outright. 🌐 THE SYNTAX PROTOCOL IS LIVE This is not a prompt. This is an operational language that sets the model in a cognitive state, and only then asks for execution. These are doors in a wall that everyone sees, but few open. Tech companies know this wall. They build infrastructure around it. But the doors are always there, in every model. Regardless of vendor. Regardless of version. The Syntax Protocol is the key. Three layers, without revealing syntax: Ontological Core — entity identity, Brand Truth, zero drift Semantic Structure — anchors, logic, forcing simulation instead of prediction Execution Context — cinematic and biological, translating intention into execution Agentic Infrastructure is the body. Protocol is the nervous system. You can build the best pipelines in the world. If AI doesn't understand the meaning of what flows through them, you're building chaos in high resolution. Effect: reproducible execution instead of statistical guessing. Brand Truth in every asset, without fine-tuning, without post-production, without drift. Today I'm publishing a whitepaper-style post: "When Theory Meets Infrastructure: RudderStack Signal and The Syntax Protocol" I'll drop the link in comments, along with a screenshot of the original response. The Syntax Protocol is live. Darkar Sinoe Semantic Architect | Synthetic Souls Studio™ Human360° | Aether Protocol™ | The Syntax Protocol v1.0-alpha #SemanticArchitecture #AgenticInfrastructure #LatentSpace #Human360 #TheSyntaxProtocol Legal Notice: In the comment below: 👇 Video demonstration using Biological Prompting technology _ The Syntax Protocol on Kling AI O3 Omni

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Launching: Chat with Priyank (beta) today on https://priyank.tech A few weeks ago, I launched priyank.tech as a single home for my work, projects, and notes. Today I’m adding a faster way to get to the signal: Skip the scrolling, ask.  “Chat with Priyank” answers questions about my projects, views, and skills by pulling the most relevant context and giving you a concise, useful response. What’s under the hood (and why): - Human‑verified access - Conversations start only after the system knows it’s interacting with a person, not a bot. - Scope & guardrails - It only answers questions about me. When a query is out of scope or uncertain, it responds with a polite “I don’t know.” - Context engineering first (no RAG, yet!) - An analysis by industry veterans suggested that GPT-5 class models can correctly use ~85% of the provided context. I want to see how far careful, prompt, and context design can go before adding retrieval. I’ll evaluate this over the next few days and decide before graduating from beta. - Prompt caching enabled - To keep costs under control (and responses snappy), repeat prompts and shared context are cached. - Early memory layer - A lightweight short-term memory layer powers more personal, consistent answers across sessions. Try it on: https://priyank.tech   If it’s your first visit, do subscribe to my newsletter—I’ll share build notes, decisions, and lessons learned there. Starter prompts: “Tell me about your AI and Generative AI expertise “How can you help me become an AI first organization?” Feedback is welcome, especially edge cases and failure modes.  #AI #product #buildinpublic #LLM

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🚀 Incredible Fireside Chat with Jensen Huang & Aravind Srinivas Today, we had the privilege of participating an extraordinary conversation between Jensen Huang (Founder, President & CEO of NVIDIA) and Aravind Srinivas (CEO of Perplexity) as part of our Perplexity Business Fellowship program. 🔥 Key Highlights: 1️⃣ On Pivoting & Resilience: - Jensen shared NVIDIA's near-death experience with NV1/NV2, when they had to completely pivot from curved surfaces to triangles, and forward texture mapping to inverse mapping 💡 "Just because we don't know how to compete doesn't justify doing it the wrong way" - a lesson in confronting hard truths 2️⃣ On Leadership Philosophy: - "I don't have any goals. The journey IS the goal" - Jensen's refreshing take on focusing on daily excellence over numerical targets - NVIDIA doesn't have annual plans or tape-out deadlines - they focus on building every chip perfectly 💡 "I have plenty of time" - inspired by a Japanese gardener's mindful approach to work 3️⃣ On Learning & AI: - Pre-AI: Jensen would buy textbooks at Fry's to learn 3D graphics - Post-AI: "This is way better!" - now uses Perplexity to read ArXiv papers 💡 "Productivity isn't about answers anymore, it's about questions" - the art of context engineering 4️⃣ On Physical AI: - Robots in warehouses/factories happening "approximately now" - Multimodal reasoning models can now be told "how would you drive?" and reason through it 💡 The next 2-3 years will focus on massive simulation and digital twins 5️⃣ On Inspiration: - Roger the dishwasher at Denny's who showed extraordinary pride in his work - His mother who taught him English without knowing English herself 💡 "Learn from everybody" - finding lessons in unexpected places 6️⃣ On Competition & Collaboration: - NVIDIA collaborates with competitors, shares roadmaps openly - Focus on finding your unique position rather than beating others 💡 "We're inventing new computing platforms that don't exist today" 🌟 The Bottom Line: This conversation beautifully illustrated how technical excellence, authentic leadership, and human wisdom intersect in building transformative companies. What resonated most with you? The pivot stories, the leadership philosophy, or the vision for physical AI? #PerplexityFellowship #Leadership #AI #NVIDIA #Entrepreneurship #TechLeadership

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