Aimen Bouzid

Google Research has recently published new scaling laws for massively multilingual models. Boldly and responsibly helping the world develop better models!

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Proud of this one - more details coming soon showing how you can utilise Kimonix upsells directly in customer accounts to drive sales. The Kimonix team is incredible and the product is solid hence we built this partnership. You can already surface Kimonix product recommendations in Mage directly in the customer account sidebar in just one-click with our no-code editor.

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"You've activated the GTM side of our business to AI." Guillaume Delépine (CEO @ Longeye) and the Longeye team have 2.5x'd engineering output since their last hire thanks to Danielle Man (cofounder & CTO) and the team's investment in AI. With great coding products on the market, that part wasn't the hard problem The hard problem: "How do we use AI as much on go-to-market as we do in dev?" He stopped asking his team what was happening with accounts and started asking his AI assistant. Deal context, qualification gaps, pipeline risk. His GTM lead started drafting outreach and qualifying leads through Day AI. They ran their first AI-powered pipeline review. Last week, a lead came through. Day AI qualified it, disqualified it as a sales prospect, recognized it was an investor worth knowing about, and routed it to Guillaume with context. His Slack notification from his GTM lead? "Sent using Claude." Their team didn't just start using Day AI more. They started using all their AI tools more. By striking at the heart of GTM, the CRM, it forces your teammates to experience and feel the benefits of AI. The result? Usage climbs across the entire AI stack. Everyone prepares like your top performer because human output isn't the constraint. Engineering crossed this threshold years ago. Guillaume credits Day AI for making sure his GTM team didn't get left behind.

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The AdTech Book: https://lnkd.in/ex-8V9UT New technologies, stricter privacy rules, and disruptive business models are constantly changing advertising game. The AdTech Book offers a unique value for leaders navigating this complexity — it helps you cut the noise and identify what brings growth.

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🚨 GPT-5 is live 🚨 I’ve been testing it today and the leap from GPT-4 is obvious. ✅ Faster on simple tasks – everyday prompts feel almost instant ✅ Thinks deeper on complex questions – it takes a moment, but the answers are more thoughtful and nuanced ✅ 45% fewer hallucinations – outputs are more accurate and reliable, so you can trust it with important work ✅ Sharper reasoning and decision-making – it knows when to dig deeper, when to push back, and when to simply say “I don’t know” ✅ Stronger in writing, coding, and problem-solving – from drafting high-quality content to tackling technical challenges ✅ Feels more human in conversation – less like a generic chatbot and more like a teammate who “gets it” 💡 If GPT-4 made AI useful, GPT-5 makes it trustworthy. The improvements in accuracy, clarity, and context-awareness mean you can lean on it for bigger, more strategic tasks without second-guessing every response. For professionals, creators, and teams, this could mean faster decisions, fewer mistakes, and more time for high-value work. ❓ What’s the first thing you’ll try with GPT-5? #GPT5 #OpenAI #AI #FutureOfWork #Productivity #Tech

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Cross-border payments in Europe are quietly becoming a reality. 🇪🇺 BANCOMAT , EPI Company and SIBS just completed a successful PoC for QR-based retail payments across Italy, France and Portugal — using only domestic schemes. Part of a broader coalition that also includes Bizum and Vipps MobilePay , covering 130 million users across 13 countries. What I find most interesting is the architecture: no new pan-European brand, no greenfield infrastructure. Just existing, trusted national solutions connected through a common interoperability hub. Bancomat stays Bancomat. Wero stays Wero. MB WAY stays MB WAY. They just work together. 🤝 Roadmap: P2P cross-border in 2026, full e-commerce and POS by 2027. Considering the MoU was only signed in February, that's a fast pace. 🚀 Curious whether other regions will follow a similar model — or try to build something from scratch instead. #EuropeanPayments #PaymentInteroperability #InstantPayments #EuroPA #Fintech https://lnkd.in/dTszuFaT https://lnkd.in/djVb9vVG

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If you’re like me and want to skip the stress of last-minute impulse buys this holiday season, having the right help makes all the difference 🛍️ Over the years, we’ve introduced several AI-powered Chrome features that make online shopping more intuitive: product comparisons between tabs, price tracking, shopping insights in the side panel, and more. Throughout 2025, we've taken that foundation further with tools that enable a more personalized, interactive browsing experience. Here are two AI tools in Chrome that'll come in handy this holiday season: 🔍 AI Mode helps you find the perfect gift from the vaguest idea (aka dads who "don't need anything"). Describe what you're looking for in detail just like you would with a normal search, ask follow-up questions to narrow the focus, then explore visual shopping results. It's also available in Chrome on mobile, and you can even start by searching your screen with Google Lens. ✨ Gemini in Chrome is great when you're feeling overwhelmed or indecisive, helping you understand what's on the page instantly. Don't know which Labubu to buy? You can summarize and compare several options across your tabs, then ask why they're so popular in the first place. Learn more about Gemini in Chrome here: https://goo.gle/4nOaL6s And if you’re looking for even more inspiration, #GoogleShopping just released its annual #Holiday100 list of gift ideas based on this year's top Search trends. Find it here: http://g.co/holiday100

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Mirakl announces a major milestone in our journey toward AI-native, agentic commerce. 2025 marks the moment where experiments give way to real, scalable value — for our customers, our employees, and our partners. With Mirakl Nexus, our neutral AI infrastructure, we’re building the foundation for a new era of commerce where AI agents act on behalf of shoppers, merchants, and operators — orchestrating discovery, transactions, and post-purchase experiences with unprecedented precision. In the latest episode of Frontiers of AI by OpenAI, our cofounder & co-CEO Adrien Nussenbaum and myself share how this vision is already delivering measurable impact across the Mirakl ecosystem:

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We showed a manufacturer their Acelab data before they were even a partner. 23% spec share. Architects were already finding them, saving their products, and adding them to projects. They had no idea. That's the thing about the spec process — it's happening whether you're paying attention or not. The only question is whether you know about it.

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A demo you say?! Don't mind if I do... 👀 💃 Here is what building on #stelia's AI OS looks like. It's smooth, it's sleek, it's enormously more efficient in precious compute, operational overhead and time. This is a super exciting use case for our media and marketing customers, but we're vertical-agnostic and raring to go. So what would you build...? 🔨 Shadow AI is becoming one of the biggest risks to modern businesses. It is PLAGUING us, and without a centralised handle on what is being used, how your models are interacting with your data, you honestly have no hope of controlling the leak. And if your data is your moat, you damn well want to protect it. Whilst also building faster and smarter to stop that shadow AI taking a hold before it's too late. Let's bring some blood pressure readings down!

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We’ve been quietly working on something. And today, we rolled out Tautomatic. We started Tautomatic because we kept seeing the same pattern repeat: smart acquirers, real strategic rationale, good intentions — and then integrations that still fell short (or worse, fell apart)! Missed synergies. Overburdened teams. Key team members frustrated and quitting. Decisions made without visibility or mitigation for risks that had already been surfaced. Knee-jerk reactions where there should have been an intentional thoughtful plan. Having been on both sides — acquired and acquiring — we have directly witnessed the enterprise and personal costs when execution breaks down. It’s not just delivering on KPIs. It’s the strategy for which a premium was paid, diminished or wiped out. Tautomatic brings together deep integration expertise, agentic AI, and a proven operating model into a platform to enable organizations to run post-close integrations like a system, not a scramble. We’re starting small and intentionally. The problem is real, the market opportunity is enormous, and we’re ready. If you work in M&A, PE, corporate development, or lead transformation at scale — we’d love to hear what resonates and what you’re dealing with.

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Big news — we just launched Robin AI’s new Legal Intelligence Platform  🚀 This is a massive product moment for us — and for legal teams everywhere. We’ve rolled out a ton of new capabilities and a completely refreshed experience across the platform: cleaner design, smoother navigation, and an even more intuitive UX. So what’s new? You can now: • Pinpoint precedent in your contracts in seconds • Use your gold-standard contracts to power negotiations • Pull any kind of data from any kind of contract • Seamlessly connect Robin to systems like SharePoint • Auto-detect signature blocks in your agreements • Deep search across all your contracts • Ask questions over groups of related docs or contract families • Collaborate on business projects in shared workspaces • Let teams across the business self-serve access to contract data No more tagging metadata by hand. No more digging through scanned PDFs. No more tracking obligations in spreadsheets. And no massive implementations or sky-high price tags. This is the new foundation for AI in legal — one step closer to making contracts truly usable across the business. Check it out 👇

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Big news: Mirakl is partnering with J.P. Morgan Payments to power Agentic Commerce. 🧠 Mirakl Nexus: Optimizes product catalogs for AI-powered discovery, allowing merchants to sell directly through large language model channels, such as Google's Gemini or Perplexity. 🛡️ J.P. Morgan Payments: Provides the payment and risk management capabilities for autonomous spending. To sum it up, by combining our commerce and payment capabilities, we are building an infrastructure that allows AI agents to shop autonomously while providing the security, control, and reliability enterprises and consumers require. Read the full announcement here: https://lnkd.in/dzcJ5AVB

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"Users want to chat with software, not click through it." I spoke with Christophe Barre, founder of Tandem AI, about how established SaaS companies can respond to this shift. ChatGPT and Claude are training users to expect they can chat with any software to get things done. And increasingly, they expect agents to do it for them. Tandem lets product teams build and ship AI agents inside their product in minutes. These agents operate your interface directly - filling forms, navigating flows, executing multi-step actions for users. They're already deployed to millions of users across companies like Sellsy (18% activation lift), Aircall (20% higher self-serve activation), and Qonto. Here's a short clip where Christophe explains why users want this and how Tandem makes it work. Tandem recently raised a $3.8M seed round led by Tribe Capital.

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For decades, the internet has worked like a marketplace. You went into apps, opened websites, navigated menus — all to get something done. MCP (Model, Context, Protocol) rewires that flow. Instead of you doing the running around, your AI agent does the work — talking directly to other agents, pulling what’s needed, and delivering it back to you. It’s the shift from destination to delegation. Here’s what that means in practice: - Utility tasks — groceries, banking, bookings — fulfilled by your agent directly through MCP. - Experience hubs — immersive shopping, learning, entertainment — still thrive on apps and websites, but now powered by AI. And the apps/websites themselves? They won’t stay static. They’ll evolve into dynamic, AI-native nodes — able to process requests, act autonomously, and plug directly into this "agent" economy. Example: “Make Paneer Butter Masala tonight.” → My agent checks my recipe and fridge. → Talks to Blinkit’s agent via MCP. → Gets ingredients, suggests substitutes, books delivery. Or take a bank, not just showing your balance, but: - Reconciling expenses with your agent. - Suggesting smarter investments. The future of the internet isn’t about better storefronts. It’s about smarter delivery networks — and apps/websites becoming collaborators in that network. And whether that future is powered first by Blinkit or Instamart (or the next name we haven’t even heard of yet)… will depend on who adapts fastest to becoming AI-native. What say Albinder Dhindsa, Sriharsha M.?

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2026 is the year AI moves from experimentation to enterprise-scale impact — and partnerships are going to be the fuel. In my 20+ years building and scaling tech alliances, one pattern stands out: the fastest-moving companies treat their strategic partners as an extension of their own product and engineering teams. When you align incentives early — shared roadmaps, co-engineered solutions, joint success metrics — deployments that used to take 12–18 months now go live in quarters. Three non-negotiables I always look for in high-velocity partnerships: 1/Deep API and data-layer integration (no shallow logos-on-slides deals) 2/Co-selling motion baked in from day one 3/Mutual investment in customer success (because adoption > signatures) The result? Pipeline velocity increases 3–5× and customers get better outcomes faster. What’s the #1 thing you will look for when choosing an AI or cloud partner in 2026? #AI #GenAI #StrategicPartnerships #CloudComputing #TechAlliances

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🎥 What Makes Great Short-Form Content for Direct-to-Consumer Brands ⚡ Create an environment where experimentation happens fast and often. At Rustorange, we’ve built this by planning and executing content entirely in-house. We maintain a bank of reference creators and high-performing concepts from across the market, adapt them to our unique brand voice, and test them continuously. Our in-house content studio and execution team give us the agility to produce quickly while keeping costs efficient. As a rule of thumb, we aim to test around 10–12 new concepts every week for every lakh of daily ad spend across channels. 🎨 Consistency across videos is non-negotiable. Fonts, tone of voice, color palette, backdrops, and even the faces in our videos must mirror Rustorange’s brand identity. This consistency is what builds long-term trust and preference among viewers. ⏱️ We follow a simple math when it comes to video length—the number of seconds equals the age of our target audience. For teenagers, it’s around 15–20 seconds. For Rustorange’s core audience of women aged 25–40, our videos usually stay within that range. 🎙️ Voiceovers and text overlays consistently deliver better performance for us. I believe this isn’t just about engagement—it’s also about how AI reads the information in these layers to optimize targeting and delivery. We have seen videos with voiceover give 15 -20 percent better ROAS. 📈 Content should change with the funnel stage. TOF (top of funnel) content is designed to build trust and affinity for the brand, while MOF and BOF (middle and bottom of funnel) audiences need content that spotlights new launches, product USPs, and strong reasons to purchase. 🤝 We intentionally feature non-model faces that feel authentic and relatable. These faces make our brand appear more human, bridging the trust gap that often exists online. 💬 Finally, our videos embed reassuring cues right into the visuals—real customer reviews, the number of happy shoppers, COD availability, and other answers to customer doubts. These small but powerful additions often increase conversion significantly. #D2CMarketing #ShortFormVideo #BrandBuilding #FounderInsights #ContentStrategy #RustorangeStory #PerformanceMarketing #VideoMarketing #EcommerceGrowth

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