𝐂𝐚𝐦𝐞 𝐛𝐚𝐜𝐤 𝐭𝐨 𝐈𝐌𝐈 - 𝐭𝐡𝐢𝐬 𝐭𝐢𝐦𝐞 𝐚𝐬 𝐚 𝐠𝐮𝐞𝐬𝐭 𝐥𝐞𝐜𝐭𝐮𝐫𝐞𝐫 𝐟𝐨𝐫 𝐭𝐡𝐞𝐢𝐫 𝐅𝐢𝐧𝐭𝐞𝐜𝐡 𝐏𝐫𝐨𝐠𝐫𝐚𝐦! 🎓 What a feeling to teach at my own B-school where I spent the 𝐛𝐞𝐬𝐭 𝐭𝐰𝐨 𝐲𝐞𝐚𝐫𝐬 𝐨𝐟 𝐦𝐲 𝐥𝐢𝐟𝐞. I've always stayed connected with IMI - there's just something special about this place. It all started when I mentioned to one of my professors who taught me that I'd love to experience taking a guest lecture. I finally got the opportunity to take a 𝐠𝐮𝐞𝐬𝐭 𝐥𝐞𝐜𝐭𝐮𝐫𝐞 𝐢𝐧 𝐭𝐡𝐞𝐢𝐫 𝐟𝐢𝐧𝐭𝐞𝐜𝐡 𝐜𝐨𝐮𝐫𝐬𝐞 yesterday. . Forgot to take a picture today (rookie mistake!), but here's a throwback from my student days instead. Note to self: capture these moments next time! Bringing real-world experience back to the classroom makes the learning so much more practical. Big thanks to Himadri Das, Prof (Dr) Sanjay Dhamija, and especially Dr. YUKTI BAJAJ for guiding me through preparing this session. Hope to be back soon! This time with a photo. #IMI #GuestLecture #AlumniLife

𝐌𝐨𝐬𝐭 𝐏𝐞𝐨𝐩𝐥𝐞 𝐏𝐫𝐞𝐭𝐞𝐧𝐝 𝐭𝐨 𝐋𝐞𝐚𝐫𝐧. 𝐈 𝐝id 𝐭𝐡𝐞 𝐬𝐚𝐦𝐞. This week, I read an article shared by Lenny Rachitsky. It was about real learning vs. fake learning. And it hit home. For years, I thought I was learning. Buying books (not reading). Listening (thinking of listening) to podcasts. Watching videos. But we just collect smart words. We don't go deep. We don't learn to understand. We learn to look smart. This article changed how I think. 𝐈𝐭 𝐬𝐩𝐨𝐤𝐞 𝐚𝐛𝐨𝐮𝐭 𝐜𝐨𝐦𝐩𝐨𝐮𝐧𝐝𝐢𝐧𝐠 𝐤𝐧𝐨𝐰𝐥𝐞𝐝𝐠𝐞. Learning from books. Not from articles or podcasts. Book by book. Everyday 𝐈𝐭 𝐫𝐞𝐦𝐢𝐧𝐝𝐞𝐝 𝐦𝐞 𝐨𝐟 𝐚 𝐭𝐞𝐚𝐜𝐡𝐞𝐫 𝐢𝐧 𝐜𝐨𝐥𝐥𝐞𝐠𝐞. He had this glow. He didn’t talk to look knowledgeable. He was knowledgeable. That glow came from years of deep learning. Not from reading or summaries. But from reading. Writing. Thinking. Now, I intend to create my learning path. 𝐓𝐡𝐢𝐬 𝐲𝐞𝐚𝐫, 𝐈 𝐰𝐚𝐧𝐭 𝐭𝐨 𝐠𝐨 𝐝𝐞𝐞𝐩 𝐢𝐧𝐭𝐨: - Artificial Intelligence and design - Managing People - Teaching others I want to stop skimming and start digging. Learning not to show off. But to understand. What do you want to learn deeply this year? 𝐇𝐨𝐰 𝐜𝐚𝐧 𝐰𝐞 𝐥𝐞𝐚𝐫𝐧 𝐝𝐞𝐞𝐩𝐥𝐲? E-reader Taking notes Spaced repetitions Writing Article and Lenny's post in the first comment. #Learning #Growth #DeepWork #Compounding #LifelongLearning #LennyRachitsky #Reading #AI #SelfImprovement

𝐓𝐰𝐨 𝐏𝐚𝐭𝐡𝐬 𝐨𝐟 𝐀𝐈 𝐢𝐧 𝐅𝐢𝐧𝐚𝐧𝐜𝐢𝐚𝐥 𝐒𝐞𝐫𝐯𝐢𝐜𝐞𝐬 I listened to a fascinating podcast on the future of generative AI in financial services. AI in financial services is now 𝐦𝐨𝐯𝐢𝐧𝐠 𝐟𝐫𝐨𝐦 𝐩𝐞𝐫𝐢𝐩𝐡𝐞𝐫𝐚𝐥 𝐚𝐩𝐩𝐥𝐢𝐜𝐚𝐭𝐢𝐨𝐧𝐬 like marketing and development to 𝐛𝐞𝐜𝐨𝐦𝐢𝐧𝐠 𝐩𝐚𝐫𝐭 𝐨𝐟 𝐭𝐡𝐞 𝐜𝐨𝐫𝐞 𝐛𝐮𝐬𝐢𝐧𝐞𝐬𝐬. There are 2 clear paths for AI in financial services. 𝐏𝐚𝐭𝐡 𝟏: 𝐈𝐧𝐭𝐞𝐥𝐥𝐢𝐠𝐞𝐧𝐜𝐞 & 𝐀𝐝𝐯𝐢𝐜𝐞 𝐂𝐨𝐦𝐩𝐚𝐧𝐢𝐞𝐬 These are companies that help you understand, manage your money or make decisions. Example: Cleo, an AI financial assistant that: - Helps users track spending without judgment - "Roasts" users about poor spending choices in a friendly way - Builds trust through conversation, not just data - Provides personalised advice when you need it These companies use AI to leapfrog traditional banks and quickly disrupt services. They don't need legacy systems or thousands of employees. 𝐏𝐚𝐭𝐡 𝟐: 𝐁𝐚𝐧𝐤𝐢𝐧𝐠 𝐩𝐫𝐨𝐝𝐮𝐜𝐭 𝐜𝐨𝐦𝐩𝐚𝐧𝐢𝐞𝐬 These companies hold and move your money. For example, traditional banks offer accounts and credit and payment companies that handle transactions. Their strength lies in the trust and data from years of customer relationships. 𝐖𝐡𝐚𝐭 𝐓𝐡𝐢𝐬 𝐌𝐞𝐚𝐧𝐬 𝐅𝐨𝐫 𝐘𝐨𝐮: If you're a new startup you could focus on Path 1. Use AI to provide smarter advice, insights and intelligence and 𝐝𝐢𝐬𝐫𝐮𝐩𝐭 𝐢𝐧𝐜𝐮𝐦𝐛𝐞𝐧𝐭𝐬 𝐰𝐢𝐭𝐡 𝐚 𝐭𝐢𝐧𝐲 𝐭𝐞𝐚𝐦. If you're a bank you can 𝐩𝐚𝐫𝐭𝐧𝐞𝐫 𝐰𝐢𝐭𝐡 𝐏𝐚𝐭𝐡 𝟏 𝐜𝐨𝐦𝐩𝐚𝐧𝐢𝐞𝐬 𝐚𝐧𝐝 𝐮𝐬𝐞 𝐀𝐈 𝐭𝐨 𝐢𝐦𝐩𝐫𝐨𝐯𝐞 𝐲𝐨𝐮𝐫 𝐜𝐨𝐫𝐞 𝐩𝐫𝐨𝐝𝐮𝐜𝐭𝐬. The winners will be those who know which path they're on and play to their strengths. Which path is your company on? Thoughts? #FinancialServices #AI #Fintech #Banking Go through the Podcast in the comments.

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