Industries That Gain From Copilot

One of my recent customer trips brought me to Korea where I had some great meetings whilst visiting Cloudera s Seoul office - this is my favorite part of my role: getting into the field and connecting with our global customers, across all industries. As AI and data needs proliferate across industries, it’s important to understand the evolving requirements of AI practioners and executive stakeholders alike, continue to build strategic ecosystem partners, and share notes across industry leaders. Summary: Korea’s Generative AI moment is here! Market opportunity is huge: - US $3.1 B AI market in 2024, racing toward ~US $30 B by 2033 (‑26% CAGR). - 72 % of Korean enterprises already run Gen AI in production!! - 30% of schools in Korea use AI generated textbooks! Customer innovation across industries: Samsung Electronics  / LG Electronics – custom LLMs on Galaxy/TV lines Copilot‑powered UX NAVER Corp – HyperCLOVA X (20B params) baked into search, e‑commerce & ads Kakao Corp – KoGPT anchors Talk bot platform Huge #agent swarms across Upstage Nota AI DeepBrain AI  AI, Rebellions FuriosaAI KT AI One Team, SKT GenAi use cases (published) in production are beating global benchmarks: - Hyundai Motor Company (현대자동차): Gen AI vision spotting paint & weld defects in seconds -Shinhan Finance : AI loan‑desk copilot that cuts onboarding time 40 % - LG CNS code‑gen assistant delivering 25 % faster SAP roll‑outs - CJ Logistics multilingual LLM auto‑drafts customs docs, slashing clearance delays So what? Korea couples world‑class semis + 5G + bold ambitious operations → the perfect sandbox for Gen AI scale‑ups across manufacturing, finance & media #GenerativeAI #SouthKorea #Innovation #AITransformation #data #AI SC Choi (최승철) Remus Lim Wing Leong Ho Jacey Allan Wendy Lang Molly Boyer (she/her) Jessica Hohn-Cabana (Mayo)

Your AI Copilot Isn’t Replacing You — It’s Promoting You 🚀 Remember when Excel first landed in offices? The people who mastered it didn’t get replaced. They got promoted. We’re living through that moment again—only now, it’s with AI. Your AI copilot—whether it’s ChatGPT, Claude, or a custom tool—isn’t here to take your job. It’s here to multiply your impact. Take my week, for example: 🧠 Summarized a 20-page whitepaper in 90 seconds ✍️ Drafted 3 client emails—in my voice, not some generic template 💡 Reframed an investor pitch deck using insights from a different industry None of that replaced me. It amplified me. And what I’m seeing personally? It’s happening at scale in fintech. AI in Fintech: Quiet Revolution, Massive Impact The same AI that’s helping me move faster is now transforming how fintech operates — not someday, but right now. 1. Smarter Risk Management ↳ AI flags fraud in real time, predicts loan defaults before they happen. ↳ JPMorgan cut false positives in fraud detection by 40%. 2. Personalization That Actually Works ↳ Hyper-relevant offers, proactive chatbots, AI-driven wealth advisors. ↳ Result? 5–10% uplift in revenue through more engaged customers. 3. Less Ops, More Innovation ↳ KYC checks, compliance reviews, documentation—automated. ↳ Your team spends less time chasing files, more time chasing growth. PwC predicts over $1 trillion in AI-driven value for financial services by 2030. Deloitte shows major gains in both cost reduction and revenue growth. This isn’t just an upgrade. It’s a shift in how fintech runs. At Netevia, we are already making this a reality. We are currently integrating AI into two core fintech processes: risk assessment and underwriting. These processes are being enhanced with AI to improve accuracy, speed, and decision-making. This integration enables our teams to focus on higher-level insights while AI handles complexity at scale. 💬 If you treat AI as competition, you’ll get left behind. 💡 If you treat it as a collaborator, you’ll move ahead. So let’s make this real: How are you using AI as your copilot? Drop your favorite use case in the comments—let’s crowdsource the next fintech playbook. #AI #Fintech #FutureOfWork #ArtificialIntelligence #ChatGPT #Productivity #CareerGrowth #BankingInnovation

This #WorkLab article showcases an inspiring example of Microsoft #Copilot in action. Dow partnered with Microsoft to transform its freight invoicing system, uncovering millions in potential savings.    With billions spent annually on shipping, small errors like surcharges and duplicate invoices added up quickly. By leveraging #AI agents powered by Copilot, Dow automated the review of 4,000 daily invoices, flagging anomalies and streamlining global operations. In just weeks, the pilot identified significant savings, and once fully deployed, Dow anticipates reducing freight costs by up to 3%.    By grounding AI in data, Dow is not only cutting costs but also building a foundation for automation across logistics and customer service—showcasing the transformative power of AI in action.

There is a lot of AI news. Let's keep it simple. We're in a multi-decade transformation that's akin to the Industrial Revolution. This is manufacturing for the mind. Costs go down. That's what manufacturing does. Cheaper cognitive works reduces drudgery and increases abundance. Consider textile manufacturing, which made clothing plentiful and ubiquitous. In a 30 minute interview with Kate Rooney at CNBC, we got into what this all means. Talking with her is so clear because she asks the right questions. One of the key shifts? Moving from AI assistants to AI agents. While assistants answer questions, agents take action. And when the cost of AI inference goes down toward zero, it will change the way we do business. At Sequoia Capital, we focus on what will be transformational in the long term. The real winners will emerge at the application layer. Some of the examples discussed in this clip are companies already making waves: 🤖 Dust Pioneering the future of AI assistant management - helping users customize and control multiple AI agents for specific tasks, from email drafting to report writing. A glimpse into how we'll work with AI in our daily lives. 🎯 XBOW - From the creators of GitHub Copilot comes a revolutionary approach to cybersecurity. Their AI agent already ranks #11 in the US for finding vulnerabilities - showing how AI agents can outperform human experts in specialized tasks. 📊 Kumo - High precision, inexpensive, at-scale predictive AI takes the tech that powers giants like Pinterest, Airbnb, and LinkedIn and makes it accessible to everyone. This kind of AI has already created hundreds-of-billions in revenue. 📧 Rox - Redefining AI-powered sales by keeping humans in the loop. When they removed auto-send and let top sellers manage AI agents, reply rates tripled. A perfect example of human-AI collaboration done right. 📈 Citadel Securities - A pioneer in AI-powered market making for 30+ years. Their network of AI "alphas" shows how automated agents can create smoother, more liquid markets - a preview of how AI networks will transform industries. ⚡ ServiceNow - Leading by example in enterprise AI adoption - 85% of their workforce uses AI daily, saving 3 million hours. Shows how large companies can successfully integrate AI across operations. 🏥 Viz.ai - First FDA-approved AI medical device, now in 40%+ of US hospitals, identifying critical strokes faster than humans. Proving how AI can literally save lives by being always-on and ultra-precise. 🏨 Commure - Tackling healthcare's massive administrative burden with AI. With 15-50% of healthcare work being administrative, they're using AI to handle back-office tasks so doctors can focus more on patients. Full details from the 30min conversation can be found here: https://lnkd.in/gzFqXdd3

Microsoft's latest #AI move is redefining how we think about industry-specific transformation. Rather than relying on generalized AI, Microsoft is diving deep into adapted AI models—precision-tuned for specific sectors like agriculture, healthcare, manufacturing, and finance. (link in the comments) Here’s why this shift matters: 𝟭. 𝗖𝘂𝘀𝘁𝗼𝗺𝗶𝘇𝗲𝗱 𝗔𝗜, 𝗥𝗲𝗮𝗱𝘆 𝗳𝗼𝗿 𝗜𝗺𝗽𝗮𝗰𝘁 Microsoft’s models, like Bayer’s E.L.Y. for sustainable farming and Cerence’s in-car CaLLMTM Edge, aren’t just tools; they’re crafted solutions—purpose-built to tackle the unique challenges of each industry. 𝟮. 𝗣𝘂𝗿𝗽𝗼𝘀𝗲-𝗕𝘂𝗶𝗹𝘁 𝗔𝗜 𝗔𝗴𝗲𝗻𝘁𝘀 In Copilot Studio, AI agents such as the Factory Operations Agent aren’t just automating tasks; they’re redefining roles, transforming AI from a “nice-to-have” into a strategic co-worker that helps tackle industry pain points with precision. 𝟯. 𝗘𝘁𝗵𝗶𝗰𝗮𝗹 𝗮𝗻𝗱 𝗦𝗲𝗰𝘂𝗿𝗲 𝗔𝗜 With its strong emphasis on trust and privacy, Microsoft is showing that transformative AI doesn’t have to compromise on ethics. This focus is setting a new standard for responsible AI in industries where security is critical. 𝗧𝗵𝗲 𝗕𝗼𝘁𝘁𝗼𝗺 𝗟𝗶𝗻𝗲: Microsoft isn’t just providing AI—they’re bringing sector-specific expertise into the AI landscape, helping industries adapt faster and smarter. This isn’t AI for AI’s sake—it’s a strategic reimagining of AI to meet the real-world needs of modern businesses. 𝗔𝘁 Plutoshift AI 𝘄𝗲 𝘀𝗵𝗮𝗿𝗲 𝘁𝗵𝗶𝘀 𝘃𝗶𝘀𝗶𝗼𝗻 𝗼𝗳 𝘁𝗮𝗶𝗹𝗼𝗿𝗲𝗱, 𝗶𝗻𝗱𝘂𝘀𝘁𝗿𝘆-𝘀𝗽𝗲𝗰𝗶𝗳𝗶𝗰 𝗔𝗜. Just as Microsoft’s adapted AI models are transforming agriculture and healthcare, we’re bringing precision AI to industrial water management to drive smarter, more sustainable operations. 𝐓𝐡𝐞 𝐟𝐮𝐭𝐮𝐫𝐞 𝐨𝐟 𝐀𝐈 𝐥𝐢𝐞𝐬 𝐢𝐧 𝐩𝐮𝐫𝐩𝐨𝐬𝐞-𝐛𝐮𝐢𝐥𝐭 𝐬𝐨𝐥𝐮𝐭𝐢𝐨𝐧𝐬 𝐭𝐡𝐚𝐭 𝐭𝐫𝐮𝐥𝐲 𝐮𝐧𝐝𝐞𝐫𝐬𝐭𝐚𝐧𝐝 𝐞𝐚𝐜𝐡 𝐢𝐧𝐝𝐮𝐬𝐭𝐫𝐲’𝐬 𝐮𝐧𝐢𝐪𝐮𝐞 𝐜𝐡𝐚𝐥𝐥𝐞𝐧𝐠𝐞𝐬. #AI #IndustryTransformation #SustainableOperations