Manisha Dhingra

New (sponsored) post - we go through what Innovaccer actually does in an interview with Abhinav Shashank - The process by which unstructured data becomes structured - Their customers and example use cases for each of them (including screenshots of the actual product itself) - How they think about which applications they should build on top of the data, when they should partner, and how they think about the EHRs native applications you can read the whole thing here: https://lnkd.in/gHfndu72

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If you're following the Account Aggregator framework in India, you'll know that it's already the world's largest open banking implementation. Just like that, quietly in the background, with not much fanfare or posturing. The flipside to building quietly in the background is some false narratives and convenient myths. This is our attempt to demystify. Myths: 1. The Account Aggregator framework is a commodity. 2. RBI has standardized all APIs, so there's no opportunity to differentiate. 3. It doesn't matter which AA or TSP you work with, you'll get the same results. Facts: 1. It takes world-class engineering talent to build digital public infrastructure at citizen scale. 2. It takes unparalleled commitment for a B2B SaaS platform player to understand and build B2C solutions at unprecedented scale. 3. It takes decades' worth of experience working with regulated entities to build these solutions with compliance embedded in code. 4. It takes vision and strategic backing to build patiently for the long term. Do read this excellent blog by our unheralded magicians working quietly in the engine room. Building and scaling an AA network is not for the faint-hearted. At Anumati, we are fortunate to have Perfios as a partner. Thanks to their engineering excellence, we're able to deliver great experiences to citizens and a trusted and scalable solution to financial institutions. If you're looking for excellence, talk to us Anumati by Perfios AA Perfios Sagar Bodapati Kunal Kishan Amandeep Singh Vinay Sathyanarayan Sumit Nigam Krishna Chaitanya B Kantharaju H Gouda #accountaggregation #opendata #openfinance #openbanking #citizenscale #digitalpublicinfrastructure #dpi #consentmanagement #engineeringexcellence #leadership #vision

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As a part of the GenAI Meetup Series in Vizag, we introduced Builder Hours A simple WhatsApp text was sent in the community groups Builder hours: Walk in to build your AI Agents (This is the 5th meetup in the last 2 months) We witnessed 25 builders walking in on Saturday evening and building AI Agents for various use cases in Vizag. 1/ Harsha Bulusu & Gayathri Thushara built an AI Agent to take Natural language prompts, build SQL, query the DB, and produce results. 2/ Ashfaaq Ahmed built an AI Agent that calculates your calorie intake by taking a voice input of the items you ate. 3/ SIRI SARIPUDI built an AI Agent that generates one professional, short LinkedIn post each week, optimized for engagement, clarity, and thought leadership for B2B professionals. 4/ Akshitha Talluri & NUDURUPATI CHARANI built an AI Agent that helps in generating creative ideas for projects 5/ Syed Shamsheer Ali worked on an AI Agent that fetches the real-time market price of crops and sends a notification to the farmers daily at a particular time. 6/ Shalini Sreeram built an AI Agent that helps in learning different languages for conversation practice, grammar correction, and vocabulary. 7/ Charan Anala has built an AI Agent that tracks your budget, forecasts your spending, and provides a structured output of expenses. 8/ Ritesh Bonthalakoti worked on a Career Guidance Agent that takes your resume, dream job titles, and other inputs and suggests a career path. 9/ Sri Yogendra Dwarapudi& Flora Badugu built an AI Agent that reminds you about your medication and tests. 10/ Kiran Sandeep & Rajesh Challa built an AI Agent for Restaurants, that will collect data from all the restaurants and mail it to the owner frequently. Data such as sales data, inventory list, customer feedback etc. 11/ Guru Sai Sumith has built an AI Agent that creates a flashcard generator that creates flashcards for any topic that you wish to learn. 12/ Priyanshu Sutar & Lakshmi Saran Polisetti built an AI agent, Nira, that runs locally on your PC, handling the majority of your personal tasks. 13/ Lakshmi Prasanna has built an AI Agent that analyzes IoT energy data, adds real-time weather and Indian peak-tariff context, and outputs actionable savings recommendations to the users. 14/ Uma Mahesh has worked on an AI Agent that uploads your resume to all major platforms autonomously and applies on your behalf. 15/ Ganesh Kumar Akula worked on an AI Agent that can automate the job application process based on the Resume & JD. 2.5 Hours of pure building followed by a showcase at Evolutyz Corp's Vizag office, and everyone loved it. Onto the next GEN-AI Builder House in Vizag Would you like to join the next one? #AIforVizag

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OpenAI just made a play to unlock a multi billion dollar market with one pricing change! A new, bespoke tier of ChatGPT for India (Go), priced at ~$4.60 On the surface this looks like the standard bigtech playbook to crack India: Netflix (67% cheaper), Prime (87% cheaper), Microsoft 365 (28% cheaper) But there's a crucial difference: Those were pure software plays with negligible marginal costs OpenAI, however, burns the same compute expense for every prompt from India, as they do globally So they're not just adjusting for purchasing power - they're subsidizing actual hardware costs for India! But why take the hit? Well, India's fundamentals are unmatched: → 750 million people online, most under 35 (the habit forming crowd) → UPI (India's free payment infrastructure) makes payments with one click at zero cost → English is a first or second language, for most people, so global products fit right in Yet today most AI startups are completely sleeping on sectors ripe for disruption: → Education AI: tutors for IIT/NEET/UPSC prep (parents already spend $1000s) → Fintech: Voice AI for loan collections in microfinance, voice based loan applications in regional languages → E-commerce: Platforms like Zepto, Swiggy, etc. operating on razor thin margins and need every efficiency gain. AI use cases like forecasting, ad optimization can be massive! For the right AI startups, India is the growth hack hiding in plain sight. And the land grab has already begun!

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