Technology Investment Benefits

I remember a customer who had a heart attack and was admitted to a hospital by his wife. Between filing the claim, the hospital sending the request to the insurance company and insurer responding to the pre-authorization request, it took 12 hours. It was a straightforward case and yet, it took so much time because hospitals and insurance companies have no standardised platform to communicate and exchange claim related information. Luckily the government and the regulator have been working on this and the launch of the NHCX (National Health Claims Exchange) platform should be a welcome move in this regard. NHCX, will be a centralized, interoperable system to exchange claims related information. This means that no matter what software the hospital uses, any information sent to the NHCX platform will be standardized into a specific format. Because all the information is standardized, insurance companies can automate parts of their processes too. Instead of someone manually looking at the claim form and the documents, they can quickly fetch the insurance policy, match it against the standardized information in NHCX, and determine if the claim is admissible without needing manual verification (atleast in some cases) If all goes well, this could drastically cut down the cashless claim turnaround time and even help lower premiums. I am glad, Supreeth took the time to record a quick video to explain the platform to all our customers and if you want to understand this better, you can watch the full explainer video here - https://lnkd.in/gs_W-72R #india #business #startup

Google just dropped another bomb on sales: Killing Email Open Tracking. AEs may think they now need to go back to the Stone Age. They’re wrong. Here’s what’s going on and how sales is evolving (not moving backward): BACKGROUND: After the 2024 Google Spam Policy limited the number of emails we can send. Gmail’s recent update will now flag any email containing a tracking pixel. This affects EVERY email, not just prospecting ones: - Clients see a clickable warning: “This message might be suspicious or spam” - If they then click ‘Report Spam’ you hurt your domain so more emails hit spam - So to be on the safe side, tracking would have to be shut off across the team Why shouldn’t we start singing the Flinstones tune? Because email opens always s*cked as a metric. And the world has progressed to MORE data-driven alternatives. ——— 1. Email open tracking is not always accurate Many email apps block image pixels by default. Others trigger it in Preview Mode (So Jane who ghosted you might be just scrolling through her emails. Don’t get excited). Browser extensions, VPNs, and Ad-blockers might block it. 2. We communicate today over multiple untracked channels Slack, LinkedIn DMs, and Text are not tracked. Email will join these now and stay as the official long-format form of communication that it is. 3. Email opens give surface-level signals and can be misleading They opened, OK SO WHAT? What resources did they view? (Risk and Interests) For how long? (Intent) Who did they forward it to? (Hidden Stakeholders)... 4. Data-driven selling tech is taking off and becoming mainstream Instead of email back-and-forth, many teams are moving to organize all sales materials and buyer collaboration in Deal Rooms (like Aligned). That allows them to track all stakeholder interactions (across Decks, Proposals, MAP, Business Cases, Comment views, etc.), uncover and ‘Hidden Stakeholders’. Basically, execute based on a deep understanding of where their buyers are at. ——— This change is just a natural progression. Defending buyers from spam. And moving away from vanity metrics. I think it’s a good thing. It will force us to become true Data-Driven Sellers. There are much better ways to get REAL buying signals. And offer a more tailored experience to your buyers. Not going back to the Stone Age…

There is a massive gap in trust in AI between English-speaking/ Western European nations and Eastern/ emerging economies. An array of specific insights from Edelman's latest Trust Barometer report reveal fundamental forces that will shape the global future of AI. Some of the highlights from the report: 🍀 The countries with the least trust in AI are Ireland (24%), Australia (25%), UK, Netherlands, Germany, Canada, and US. 📈 The high-potential emerging economies such as Nigeria (76%), India (70%), Thailand, China, Indonesia, Saudi Arabia and Kenya have the greatest trust, reflecting the positive potential they see. 🚩 China has 40% higher trust in AI than the US. 👶 Younger people globally are notably more comfortable with business AI usage than older generations (51% vs. 35%). 💸 Higher-income individuals globally show significantly higher comfort levels (51%) with AI in business compared to lower-income groups (38%). 🔻 Enthusiasm for AI has dropped from fairly high levels in Malaysia (-11%), Nigeria, China, and Japan, and reduced substantially from already low levels in Australia (-5% to 10%) and Italy. ⚡ Political and economic uncertainties correlate with higher AI trust, suggesting people look to AI for solutions during uncertain times. 🔒 Countries where people express high societal grievances have AI trust reduced by up to 22%. 💼 Tech companies outperform general businesses in perceived ethical standards and competence by a significant margin (ethical score: +23 vs. general businesses). Attitudes in the population flow through to politics, regulation, business adoption, consumer uptake, and economic impact. Take this data into account as you consider the likely futures of AI in business and society.

𝐎𝐧𝐞 𝐥𝐞𝐬𝐬𝐨𝐧 𝐦𝐲 𝐰𝐨𝐫𝐤 𝐰𝐢𝐭𝐡 𝐚 𝐬𝐨𝐟𝐭𝐰𝐚𝐫𝐞 𝐝𝐞𝐯𝐞𝐥𝐨𝐩𝐦𝐞𝐧𝐭 𝐭𝐞𝐚𝐦 𝐭𝐚𝐮𝐠𝐡𝐭 𝐦𝐞 𝐚𝐛𝐨𝐮𝐭 𝐔𝐒 𝐜𝐨𝐧𝐬𝐮𝐦𝐞𝐫𝐬: Convenience sounds like a win… But in reality—control builds the trust that scales. 𝐋𝐞𝐭 𝐦𝐞 𝐞𝐱𝐩𝐥𝐚𝐢𝐧 👇 We were working on improving product adoption for a US-based platform. Most founders would instinctively look at cutting down clicks and removing steps in the onboarding journey. Faster = Better, right? That’s what we thought too—until real usage patterns showed us something very different. Instead of shortening the journey, we tried something counterintuitive: -We added more decision points -Let the user customize their flow -Gave options to manually choose settings instead of setting defaults And guess what? Conversion rates went up. Engagement improved. And most importantly—user trust deepened. 𝐇𝐞𝐫𝐞’𝐬 𝐰𝐡𝐚𝐭 𝐈 𝐫𝐞𝐚𝐥𝐢𝐬𝐞𝐝: You can design a sleek 2-click journey…  …but if the user doesn’t feel in control, they hesitate. Especially in the US market, where data privacy and digital autonomy are hot-button issues—transparency and control win. 𝐒𝐨𝐦𝐞 𝐞𝐱𝐚𝐦𝐩𝐥𝐞𝐬 𝐭𝐡𝐚𝐭 𝐬𝐭𝐨𝐨𝐝 𝐨𝐮𝐭 𝐭𝐨 𝐦𝐞: → People often disable auto-fill just to manually type things in.  → They skip quick recommendations to do their own comparisons.  → Features that auto-execute without explicit confirmation? Often uninstalled. 💡 Why? It’s not inefficiency. It’s digital self-preservation. It’s a mindset of: “Don’t decide for me. Let me drive.” And I’ve seen this mistake firsthand: One client rolled out a smart automation feature that quietly activated behind the scenes. Instead of delighting users, it alienated 15–20% of their base. Because the perception was: "You took control without asking." On the other hand, platforms that use clear confirmation prompts (“Are you sure?”, “Review before submitting”, toggles, etc.)—those build long-term trust. That’s the real game. Here’s what I now recommend to every tech founder building for the US market: -Don’t just optimize for frictionless onboarding. -Optimize for visible control. -Add micro-trust signals like “No hidden fees,” “You can edit this later,” and clear toggles. -Let the user feel in charge at every key point. Because trust isn’t built by speed. It’s built by respecting the user’s right to decide. If you’re a tech founder or product owner: Stop assuming speed is everything. Start building systems that say, “You’re in control.” That’s what creates adoption that sticks. What’s your experience with this? Would love to hear in the comments. 👇 #ProductDesign #UserExperience #TrustByDesign #TechForUSMarket #DigitalAutonomy #businesscoach #coachishleenkaur Linkedin News LinkedIn News India LinkedIN for small businesses

It’s increasingly clear that bold climate action is the smartest business choice. Climate impacts are already hitting every part of supply chains, from sources of materials, to how products are transported and where they are sold. Companies risk seeing 7% carved off corporate earnings annually by 2035 due to climate impacts.   But there’s also good news – the global clean energy transition is booming, set to hit US$2 trillion this year alone, even if we need to see its huge benefits shared far more widely.   Setting ambitious goals to decarbonize and achieving them, and investing in adaptation and resilience, makes total business sense.   According to a recent report by the World Economic Forum: 👉 Industries can reduce 10-60% of their emissions at no or limited additional cost. 👉 Companies can expect up to $19 in benefits for every $1 invested in adaptation and resilience.   Climate-proofing is no longer optional for businesses. It is a necessity. And a massive opportunity too good to miss.

Thunderstorms are becoming more frequent and intense due to climate change. According to the World Meteorological Organization, the number of severe convective storms has increased by over 12% globally in the last two decades, with rainfall intensity up by as much as 20% in parts of Asia and North America. What do you think about this video? As global temperatures rise, the atmosphere holds more moisture, fueling stronger and more unpredictable storms. But technology is stepping up to meet this challenge. 🔹 AI-Powered Climate Models High-performance computing and AI-driven simulations are now capable of modeling atmospheric changes at kilometer-scale resolution. These systems help meteorologists forecast thunderstorm formation hours in advance — a leap forward from traditional models that relied on much coarser data. 🔹 Next-Gen Satellites and Radar Networks Modern satellites like the European Meteosat Third Generation and advanced radar networks use machine learning to detect lightning and storm cell movement in real time. This allows emergency response systems to issue earlier and more accurate alerts. 🔹 IoT Sensor Networks Ground-level IoT stations measure temperature, pressure, and humidity continuously. When combined with AI analytics, they form localized early warning systems that can alert communities via mobile apps or smart city dashboards. 🔹 Smart Infrastructure and Grid Protection AI-assisted smart grids and adaptive materials help protect infrastructure from lightning damage and power surges. These systems can automatically reroute electricity and reduce blackout risks during severe weather. 🔹 Global Climate Data Collaboration Massive open datasets — from satellites, drones, and weather stations — are fueling a new era of collaboration between governments, startups, and research institutes. This data helps improve resilience planning, insurance modeling, and even renewable energy site optimization. 💡 In short: Technology is transforming how we live with nature’s volatility — turning our approach to thunderstorms from reactive to predictive. #ClimateChange #AI #WeatherTech #Sustainability #Innovation #DataScience video via @aiwithjash by Sora 2 Ai engine.

🚨⚡ A COO stares at his spreadsheet: BPO partner = $525K/month Agentic AI pilot = $120K/month 👉 60% faster. More accurate. That’s not just a cost play. It’s an industry reset. I'm thrilled to share my latest piece in Digital Insurance on how #AgenticAI is forcing P&C insurers to fundamentally rethink their BPO partnerships. Key insights from the article: ➡️ Routine, high-volume work (FNOL, endorsements, underwriting) is shifting to AI, while negotiations and compliance stay human-centered. ➡️ Insurance executives no longer ask "How many FTEs and cost per FTE?" but "What's your AI strategy?"...and most BPO partners lack compelling answers ➡️ Traditional BPOs face a painful choice: embrace AI and cannibalize revenue, or risk obsolescence as AI-native competitors emerge ➡️ Some forward-looking players are investing directly in AI-native firms, signaling they’re reinventing, not clinging to labor arbitrage. The bottom line: We're witnessing the great unbundling of BPO services. Winners will combine human judgment with AI capabilities, focusing on exception handling, quality assurance, and strategic oversight, the areas where human expertise remains irreplaceable. 🙏 Deep gratitude to the carriers and MGAs who agreed to be interviewed for this piece, to the incredible Patti Harman for inviting me to contribute on such an important topic, and to my dear friends and colleagues James Rosen and Christopher Frankland 🌎 for your valuable feedback on my first draft. ✅ Read the full analysis in the link in the comments section. What are your thoughts on how agentic AI will reshape BPO partnerships in P&C? Are you already seeing this transformation in your organization? I'd love to hear your perspectives in the comments. #PropertyCasualtyInsurance #BPO #AgenticAI #InsurTech

Further progress in AI+climate modeling "Applying the ACE2 Emulator to SST Green's Functions for the E3SMv3 Global Atmosphere Model". Building on ACE2 model which uses our spherical Fourier neural operator (SFNO) architecture, this work shows that ACE2 can replicate climate model responses to sea surface temperature perturbations with high fidelity at a fraction of the cost. This accelerates climate sensitivity research and helps us better understand radiative feedbacks in the Earth system. Background: The SFNO architecture was first used in training FourCastNet weather model, whose latest version (v3) has state-of-art probabilistic calibration. AI+Science is not just about blindly applying the standard transformer/CNN "hammer". It is about carefully designing neural architectures that incorporate domain constraints like geometry and multiple scales, while being expressive and easy to train. SFNO accomplishes both: it incorporates multiple scales, and it respects the spherical geometry and this is critical for success in climate modeling. Unlike short-term weather, which requires only a few autoregressive steps for rollout, climate modeling requires long rollouts with thousands or even greater number of time steps. All other AI-based models fail for long-term climate modeling including Pangu and GraphCast which ignore the spherical geometry. Distortions start building up at the poles since the models assume domain is a rectangle, and they lead to catastrophic failures. Structure matters in AI+Science!

On May 22, 2025, Microsoft signed a deal to purchase over 600,000 tons of #lowcarbon cement from Sublime Systems ; cement produced without fossil fuels, using an innovative electrochemical process. Just a few days later, on May 28, Google expanded its partnership with Arable an agtech startup helping U.S. farmers save 2 billion liters of #water using smart irrigation technology. These aren’t CSR headlines. They’re clear signals that environmental goals and financial sustainability are not in conflict. This is happening in the US even with the strong stance on #sustainability. When driven strategically, sustainability is both a climate solution and a long-term value play. But what’s even more powerful is the catalytic effect of such moves: 1- Microsoft’s purchase enables Sublime Systems to scale its technology faster and cheaper. 2- Google’s validation helps Arable prove its model and unlock broader adoption. When industry giants act as early adopters, they don’t just decarbonize they create entire markets! This is exactly the kind of thinking that can supercharge the #startupecosystem in the #GCC. With ambitious sustainability agendas, national champions in the region can turn their assets into real world #testbeds, validating technologies, shortening the path to commercialization, and nurturing homegrown solutions. We often speak of ecosystems. But ecosystems thrive not in isolation, but through interdependence between the boldness of big players and the brilliance of small innovators. #Sustainability #Innovation #ClimateTech #CircularEconomy #GCC #Startups #GreenGrowth #WaterManagement #GreenConstruction #CenterForSustainableFuture Elias Aad Dragos Fundulea