Aishwarya T.

Categories evolve when intent becomes clearer than optics. In this conversation with Himanshu Chadha what stood out was the decision to move beyond surface-level claims and build with greater regulatory and formulation clarity. Rather than leaning into the visible signals of “herbal,” the early focus shifted toward creating products grounded in deeper conviction and defined purpose. Sometimes, differentiation comes not from louder messaging, but from choosing substance over signalling. Watch the full epsiode of #OneInABillion here: https://lnkd.in/d5z_7Pzy

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ROI, or Not to ROI? At the Bengaluru edition of Strategy Shift Forum—hosted by MIT Sloan Management Review India and powered by Salesforce , one theme kept surfacing: ROI. And rightly so — leaders want tangible returns before making bold bets on AI. This brings me back to First principles. Traditional ROI is designed for a world of largely predictable futures and incremental change. However, if the last couple of years are anything to go by…what we’re facing today is disruption at scale — ideologies and technologies reshaping markets, ecosystems, and even sociopolitical dynamics. Does that mean ROI is irrelevant? Not quite. But it does mean we need to redefine ROI and expand the lens : 🔹 Resilience — how well we adapt and thrive in volatility 🔹 Opportunity — the upside of moving now: new markets, new models, new possibilities. 🔹 Impact — solving problems that had no obvious solutions before This shifts ROI from a number-crunching spreadsheet calculation to a strategic compass. Because the most important AI-driven investments may not show clean returns today — but they lay the foundations for tomorrow’s realities. The sharper question isn’t “What’s the ROI?” It’s “What future are we enabling?” Grateful to the other speakers and participants of the forum, to the fellow panelists Manish Bharati , Vipin Kumar Kataria, Sridhar H, Yolande D'Mello and to MIT Sloan Management Review India and Salesforce for sparking this rethink. #StrategyShiftForum #AI #FutureOfBusiness #SustainableGrowth #HeartCentredLeadership #FirstPrinciples

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All the power users in my #ClaudeCode ecosystem are obsessed with memory. And rightfully so. 🧠 The memory race is on. I usually see most of the buzz about short-term memory capture though:  - Memory within single execution runs (avoiding compaction loss)  - Post-session training for agents  - Unlocking what memory + tools + agency can do together (see: #OpenClaw) I've been thinking about memory with a long-term lens instead. Here's how. My entire workflow runs on these massive, hours-long PRDs (product requirement docs) that are using my version of the Ralph-Wiggum Loop to have agents work through structured plans for extended sessions. As the work gets done the plan morphs from guide of what to do to record of what we have done. I am now treating the final completed PRDs as a foundation memory layer and then creating introspection agents on top. It's been a huge unlock because we can ask questions like: - Why are there 7 more plans on the same topic that seem to overlap. - Was our planning or execution bad earlier? - Did we expand scope on projects as we go? Is that a common pattern? - What does that mean about how Victor works? - What sort of interventions does Victor make to the plans agents come up with. Can we anticipate that? - Are there manual tasks slowing down the agents? Then I link it together with another productivity system I'm building and have it think about whether the workstreams that are actually happening align with the things I've told it are actually important goals and creating a chief of staff on top to keep me executing. It's getting wild out there. (And yes I know it's crazy to try to optimize the AI to push me to do things it thinks I would want to do). 🤷  

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Just noticed how many Salesforce consulting companies are coming up from Rajasthan, especially Jaipur — and it’s amazing to see! 🌟 Tier-2 cities are quietly becoming the new growth engines of India’s digital economy, proving that great talent and innovation can come from anywhere. 🚀🇮🇳

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Really excited about what we’re delivering with the Zurich release at ServiceNow. 🚀 What stands out to me is how this update blends speed and security. Tools like Build Agent make it easier than ever to go from an idea to a production-ready app — just by describing what you want in plain language. At the same time, new capabilities like Vault Console and Machine Identity Console give leaders the confidence to scale AI securely across their organizations. And with multi-agentic playbooks, we’re moving closer to real human + AI collaboration — letting AI handle the heavy lifting while keeping people in control where it matters most. Feels like a big step toward turning AI’s potential into real, measurable impact.

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Seeing a lot of Seo and YT managers fret about the algorithm that works, I often feel the debate is endless. What headline works, whether to use keywords or not and what Google/YT recommends. One thing I have realised, you may argue, is good content/informative (Google Calls It Helpful) is at the core. While keywords matter to help your videos/articles in recommendations, the colour of your thumbnail is not the clinching factor. Let's not get into a rabbit hole of algorithms while deciding content but yes do keep an eye on what is working for your video/article. The AI driven Search world is suggesting content people are interested in. Read your audience. Watch your Audience. Hear your audience. Meanwhile, if you have had enough reading this post, here's the news on India's ambitious #bullettrain. #digitalvideos #convergence https://lnkd.in/gcGhAegC

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Read Zero to Scale by Arindam Paul over the weekend. Breezy read, thoughtfully written and brilliant insights into building a business in India. A lot of books on 0-1 and growth typically talk of the Whats and Whys, but seldom focus on the HOW. And this is where this book is different. Very nuanced and practical on how to approach product development, customer segmentation, channel presence and demand generation. Some of my key takeaways were: 1) PPCMF vs PMF: Critical for a country like India where you have multiple microcosms of customers, each having a different need to suffice. Developing strategies for each customer, each platform, each channel and ensuring meaningful presence wherever your consumers are, determines TOM recall and how successful your brand would scale up 2) Channel Integration: Its very easy to work in silos and assume what happens in one channel does not affect the other, but seldom is this the case. Today's consumers are looking at multiple channels, competition and making judicious calls on purchase. Hence it becomes essential to understand the overall channel strategy and how one plays out into the other, be it Ecomm, Qcomm, GT or MT. There are multiple overlaps across these channels and it is imperative to acknowledge and act accordingly. 3) LTV and CAC: My WOW moment of the book - LTVs need to be tailored to the current state of the business and not necessarily pegged at industry benchmarks, and then derive CACs to really understand the direction the business is taking vis-a-vis the bottomline. This book has 7 parts and you dont necessarily have to read this from part 1 to part 7. You could start from any one part to gain insight on that specific topic. Would highly recommend this book to not just founders but to anyone who wants to develop grassroot understanding of channel management, portfolio development and demand generation. Thanks for this Arindam, I know I'd be referring back to the book time and again to refresh/clear out concepts!

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🇪🇺 Why are European founders betting on India? 🇮🇳 Dr. Philipp Ackermann, Germany’s Ambassador to India & Bhutan, has consistently emphasized India’s rising role in global innovation. In August, he said “Bengaluru is a synonym in Germany for R&D in the digital world”, and predicted that a Berlin-based office will be opening next year to assist in the linking of startup functions between these two global cities. Dr. Ackermann’s statement makes sense. Let’s look at some data: 1) SAP has about 15,000 engineers in India focused on fundamental R&D, with India housing nearly 40% of SAP’s global R&D workforce. The company is building a new 41-acre campus in Devanahalli (Bengaluru) with capacity for another 15,000 people. 2) Mercedes-Benz Research & Development India (MBRDI) currently employs over 9,000 people, including 6,000 engineers who work across vehicle development, embedded software, simulation, prototyping, etc. 3) Bosch has its largest R&D base outside Germany in Bengaluru, with over 14,000 R&D associates in its development centres. It is also building a 75-acre “smart campus” there. 4) ZEISS India just opened a Global Capability Centre (GCC) in Bengaluru, accommodating over 600 employees specializing in medical technologies, AI, cybersecurity, and cloud, with plans to double headcount by 2028. The trajectory couldn’t be clearer: Europe is shifting from viewing India only as a cost arbitrage location to seeing it as a core R&D & innovation partner. Europe is currently facing a widening supply-demand gap, especially concerning tech talent. It’s reported that countries such as Germany have shortages of skilled individuals across many sectors. Across the EU, estimates suggest that by 2040, there will be a shortfall of up to 1 million ICT professionals in software, cloud, AI/ML & full-stack roles. In comparison, India has the second-highest number of STEM graduates passing out every year, around 2 million, many with strong software engineering & digital credentials. India teams can deliver scale while meeting international quality, whether for React, full-stack, cloud, DevOps, etc. What do German/European companies gain by deploying extended teams in India? - Cut costs while retaining quality: 40-60% lower total cost of engineering compared to Germany/EU benchmarks. - Technical depth + scalability: Access to a varied range of niche talent in surplus numbers, beneficial to any sector. - Time zone synergies: Reduced latency in collaboration across regions, enabling faster feedback loops and continuous delivery. With government policies backing it, and an ecosystem filled with zeal, enthusiasm & contagious energy, India will once again be the top destination not just for Europe but worldwide. #Europe #India #USA #UK #GCCs #Bengaluru #Talent #Germany #OffshoreTalent

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A few weeks into my Leadership in AI program at ISB,one thought continues to resonate - AI is less of a threat and more of a force that augments human capabilities. Yes, industries will evolve and roles will adapt - Impact is inevitable. But what feels most disruptive is the way AI is already transforming how we think, decide, and solve problems. This journey is proving that it’s not just about adopting new technology rather right mindset to embrace AI as a partner in strategy and execution.

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The AI Ceiling: Math Proves Agents Won’t Replace Humans Anytime Soon - "There is no way they can be reliable." As leaders in the creator economy, we know hype cycles all too well. Vishal Sikka’s groundbreaking paper with his son Varin — “Hallucination Stations” — cuts straight through the AI agent buzz with unyielding math: LLMs are trapped by a hard computational limit (O(N² · d) complexity), inevitably failing or hallucinating on tasks like TSP verification that demand exponential processing. Key Insights for Builders: • Pure LLMs fail exponential tasks: They can’t verify optimal routes, solve complex proofs, or handle real-time decision trees in one pass — this limitation is baked into transformer architecture itself. • Industry exodus signals reality: OpenAI lost 7+ top researchers to Meta in 2025, alongside high-profile execs like HR chief Julia Villagra — insiders are betting on startups, not imminent AGI windfalls. • Hybrid systems are the real play: Wrap LLMs with verification layers, symbolic reasoning, and external tools for reliable operations (think QA audits, content moderation, or dynamic workflows). • Hallucinations persist: Even advanced models won’t hit 100% accuracy; the math ensures it. Guardrails help, but they can’t rewrite the underlying compute ceiling. Sikka doesn’t mince words: “No way they can be reliable” for mission-critical apps like nuclear plants or enterprise-scale automation. The true power lies in augmentation — empowering teams for high-volume, low-complexity work without the overpromising that fuels funding rounds. Leaders: Prioritize hybrid architectures over agent hype. The math is clear; now it’s time to build accordingly. #AIAgents #LLMLimits #TechLeadership #Oracle #AI #Nvidia #AMD #Google #Claude #Gemini #OpenAI #Meta

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In a World where Everyone is talking about AI, it’s a matter of Pride because our Organization - Pine Labs is actually putting it to good use for our Merchants, Partners, Customers and Consumers at large….

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It’s unfortunate that stories like this drown out the genuine efforts of founders building honest AI solutions that solve real-world problems. The noise can be overwhelming, but the antidote is simple: Build quietly, deliver consistently, and let real results speak louder than press releases. Hype is temporary. Integrity isn't. Shortcuts always catch up—and the cost is real. It’s time tech chose ethics over ambition.

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Lt Gen Satish Dua lesson no 2 in the series: Redefining Success & Failure "In my field, there are no runners-up. Those who don't win often end up dead." This powerful perspective from Lt Gen Satish Dua reframes how we think about competition and excellence. In the corporate world, we often accept mediocrity or 'good enough.' But what if we adopted the military mindset where winning isn't just preferred - it's survival? Excellence isn't optional when lives depend on your performance. #Excellence #Mindset #Performance #Military #Success

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Conversational AI & IVA — What Really Drives Success Many organizations today want to “deploy an IVA” or “launch an AI assistant.” But in reality, building an effective conversational AI solution is less about technology — and more about getting the fundamentals right. Here are a few challenges I often see, and the considerations that truly make a difference: 🔹 Over-engineering the Experience Teams sometimes try to automate everything on day one. Start small. Focus on high-volume, high-impact use cases. Scale with real data. 🔹 Designing Conversations Without Understanding Conversations Real users don’t speak in scripts. Successful IVAs evolve through continuous tuning, intent expansion, and contextual understanding. 🔹 Ignoring Integration Complexity An IVA is only as smart as the systems behind it. CRM, WFM, knowledge bases, APIs — seamless integration drives accuracy and personalization. 🔹 Measuring the Wrong Metrics Bot containment alone doesn’t define success. Measure customer effort, first-contact resolution, deflection quality, and agent experience uplift. 🔹 Treating It as a One-Time Project Conversational AI is a living system. It needs continuous learning, analytics-driven optimization, and strong governance. As enterprises accelerate their digital transformation journeys, voicebots and conversational AI will continue to evolve — but the foundations remain the same: understand the customer, simplify the journey, and let AI enhance the human experience. Curious to hear from others — what’s the biggest challenge you’ve faced in implementing Conversational AI? #ConversationalAI #IntelligentVirtualAssistant #Voicebots #CXTransformation #DigitalTransformation #CustomerExperience #Omnichannel #ContactCenter

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Something interesting is happening in Indian households right now. As geopolitical uncertainty lingers, search trends are showing a quiet but noticeable uptick in queries like "ready-to-eat" "instant meals" "microwave meals" and "frozen food." It's a small signal, but it points to something larger — families are beginning to rethink their everyday cooking routines. And it's not just homes — restaurants and institutional kitchens are also starting to stock ready-meal reserves. What's worth paying attention to is how these moments of precaution can quietly become permanent habit changes. India's packaged convenience food market has always had room to grow, but adoption has been gradual. Disruptions like this — even temporary ones — have a way of compressing that timeline. Are you observing similar shifts in consumer behavior across other categories? #ConsumerBehavior #FMCG #FoodTech #IndiaConsumer #PackagedFood #MarketTrends

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Your legacy, your brand story, your years of experience, none of it matters if the product doesn’t solve a real problem in a simple, reliable way. And that’s an area where Indian teams often struggle. We often think adding more features means adding more value. But in global markets, clarity beats complexity every single time. Customers don’t ask, “Who built this?” They ask, “Does this work? Does it help me? Can I trust it?” That’s it, no long hours discussions. Just value → reliability → trust. After 30 years of working across continents, the lesson that has stayed with me is that a strong product is not the one with the longest feature list, but it’s the one that gets used, understood, and appreciated. And here’s the good news: we’re more than capable of building those. India has the talent, the creativity, and the hunger to make products that stand tall on the world stage. We just need to focus on what truly matters, solving real problems with clarity and consistency. #ProductLeadership #IndianTech #ClarityOverComplexity #BuildForGlobal #ProductStrategy

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Hanging out with ⚡️Robin Gupta this morning on the 5th Session for the Salesforce Speaker Launchpad from Abstracts to Applause 👏🏻. Johann Furmann joined in on the fun with a challenge to conference organizers: how about setting 5% of acceptance of non-typical topics or random acceptance. This allows for Content and Speakers that will surprise you and give a platform to someone that may change their life. Key Takeaways: 1. Know your audience 2. Mind map your abstracts 3. Get Feedback from humans and your AI partners 4. Submit and take a breath Above all, don’t lose your authenticity when presenting. No one wants a homogenous echo chamber. Highlight your topic—but don’t lose yourself in the process. If you don't get selected (I don't like the word 'rejected'), there may be reasons that does not diminish the value of your content. Perhaps it doesn't align with the narrative with the conference organizers aiming for or maybe there was other submissions that were very close to yours. Don't fret. There are plenty of opportunities out there to present your content, including self-publishing (e.g. YouTube, LinkedIn, etc!). Good luck!!

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