Shaunak Chatterjee

I participated in a “SMART MANUFACTURING” panel with Gayathri Radhakrishnan, Rohini Chakravarthy and Abhijit Supekar (moderator) last week at TIECon 2024. The coolest part of the panel was 3 Women VCs talking about a topic that has not traditionally been discussed by women. I never imagined I’d see this in my lifetime. Things have indeed changed! We had a very lively discussion of whether we can expect lights out factory in 5-10 years. Automation is happening in all stages but full automation manufacturing is tough because it requires human like adaptability. It is not converting text into instruction or code - it is about precision. Robotics + AI is making this happen and we will get there. AI is going to bring the cost down for complete solution for example: there are robotic arms that can do more tasks and learn like a human and not just some specific tasks. Also check out our portfolio companies Micropsi Industries and RGo Robotics that are making it happen in this space. Thanks to Anshu Bahadur Hrishikesh Sathawane Nilesh Dixit for organizing the panel and Anita Manwani and Surbhi Kaul for making this happen! #TiECon2024 #AIUbiquity

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🚀 We've open-sourced TimesFM – a decoder-only foundation model for time-series forecasting 📈 Key Highlights: ✅ Large-Scale Training Data: Trained on a corpus of over 100 billion real-world time points, including Google Trends and Wikipedia pageviews. ✅ Zero-Shot Forecasting: Offers high-quality forecasts even on unseen datasets, without requiring fine-tuning or additional training. ✅ Outstanding Benchmark Performance: Achieved competitive results across a comprehensive suite of benchmarks. 🤗 Explore the model on Hugging Face and GitHub. I'm encouraged by the early feedback and look forward to seeing how #TimesFM will be used in real-world applications for forecasting and anomaly detection. 🙏 A special thanks to the talented research team behind this achievement: Abhimanyu Das Rajat Sen Yichen Zhou Weihao Kong

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Nice to have 'Top New Release' status on Amazon for the latest book (my 25th) that explores an alternative paradigm for quantum computation. Illustrations (111) by Dr. Narendra Madhav Joshi. My take is that we owe it to ourselves at this early stage of the industry's lifecycle to explore alternative approaches. Here is a brief overview: "This book attempts to reveal something of the vastly different and fundamentally creative quality of computing that must accompany any computation involving the quantum-levels. To linearly project digital computing laurels manifest as increasing speeds and the ability to process vaster amounts of information, as the inevitable trajectory of quantum computing is perhaps, in the aphorism attributed to the Buddha, to look only at the finger and to miss the moon and the sky that it is pointing to. The cover figure highlights all that is being missed, summarized as an egg-like structure synonymous with the term ‘Hiranyagarbha’ in Sanskrit. This depicts the womb of creation abundant with many layers and patterns reflecting luminescence, due to the constant superposition and entanglement inherent to the quantum computation that derives from a light-centered interpretation of quantum dynamics." The book is available here: https://lnkd.in/gXu4H9uW #quantumcomputation #quantumtech #technologyleadership #cosmology #systemsthinking

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In the true spirit of embodying one of the defining leadership principles of Haas, "Student Always", I went back to school last week to learn more about how the combination of right strategy and culture can drive great outcomes for the organization. Prof. Jenny Chatman is the best in distilling the intricacies and challenges that executive leaders face today in an ever changing work environment. She gave us very valuable, actionable insights on how to become better leaders. I hope to employ these insights and awareness to help my organization achieve even better outcomes.

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Worth reading: Generative AI is not going to build your engineering team for you. So, so good - peppered with gem quotes and observations- chuckle. https://lnkd.in/gZBKtU4X Thanks to Eric Brooke for sharing.

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Bilt Rewards went from $0 to $1.5B valuation in under a year post launch. I had the pleasure of hearing Ankur Jain, Bilt’s founder and CEO, speak at FintechMeetup. It was extremely inspiring and I had to dig deeper. What is Bilt? The core idea of Bilt Rewards is simple and compelling. Why can’t your rent payments contribute towards home ownership in the future? Most of us pay rent through our bank since paying with a credit card adds an additional 2.5-3%. With the Bilt MasterCard, you not only avoid fees but earn points on your rent payments: redeeming 1 point for every dollar spent up to 100K points per year - that you can apply towards your down payment. Fascinating tidbits: 1. Before Bilt, you weren’t legally allowed to use points towards a down payment. So Ankur and team spent 18 months working with regulators to create the regulations required to make a system like this possible. 2. Ankur worked on the idea by himself for a year, pitching to real estate owners and finessing the model before even hiring the first employee. 3. Almost every real estate owner Ankur pitched to initially was opposed to the idea. Over the course of 4 years, Bilt built a distribution network of 4M+ rental homes that allows residents to pay with Bilt. Ankur shares lessons valuable to every entrepreneur: 1. Distribution and customer acquisition strategy needs to be at the forefront of your pitch. 2. Creative relentless vs hard-headed relentlessness: “No just means ask again differently. Slightly different changes. Slightly different approach. Slightly different person you are asking. That’s the key. Doing the same thing over and over again will only get you the same results.” 3. A great product will not sell itself. To break through change aversion and transform consumer behavior, you must out execute with relentlessness: “The irony is when you think about building a company, you’ve gotta have the right product to solve a real problem. You have to have the core business economics and all that stuff. But what people don’t talk about - it doesn’t matter how good your idea is or how perfect the timing is. If you are not relentless at taking no, no, no, no, no, no, no, no over and over again and still being willing to come to the plate, it doesn’t matter. That is the single most important trait I’ve found. Because for whatever reason, the world likes to reject change. There is such inherent resistant to anything different. So you have to literally will your idea into existence. It’s exhausting but fulfilling.” Keeping especially the last takeaway in mind as we forge new paths ✨

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I like this idea of "technical taste". It gets into where software engineering is as much creative art as it is science. Four great takeaways (IMHO) for software devs in this era in particular: 1. Aspiring engineers should cultivate a sense of curiosity, experiment with different tools and technologies, and embrace a mindset of continuous learning. 2. AI has the potential to streamline processes and enhance productivity for engineers, but it may also lead to disruptions in traditional software development workflows. 3. Developing technical taste and judgment is essential for making informed decisions about which technologies and approaches to pursue. 4. Collaboration and open-mindedness are key to leveraging the full potential of AI and staying ahead of technological advancements. I also really liked these two quotes from Sam Schillace: 1. "The right time to do something is when you have that feeling in the pit of your stomach that's like, 'oh, this is a great idea and it's going to suck to build because nothing's ready yet.'" 2. "Technical taste is like, 'how well have you consolidated that set of experiences and heuristics into judgment that you can apply accurately when you see new things?'" 3. "It may be the case that very small teams can do very large projects, or like we were talking about before, it may be the case we're just going to get really ambitious about what we try to do with the same size of teams, which is kind of where I would put my money." Great job on continuing to put out great episodes, Brett Berson and team First Round Capital! #ai #engineering #softwaredevelopment

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From reshaping the future of work to revolutionizing creative endeavors, explore the transformative power of generative AI in everyday life with Tilakraj Parmar, Co-Founder and CEO, QX Lab AI. Discover how AI-powered chatbots are enhancing customer experiences, freeing up time for strategic initiatives. Learn about the creative realm, where AI algorithms are amplifying artistic expression and pushing the boundaries of music, the visual arts, and content creation. According to Tilakraj, a world improved by the peaceful coexistence of human creativity and AI efficiency is in store. 🔗Read the full article exclusively on Express Computer, to unlock the potential of this groundbreaking technology: https://lnkd.in/gAzagtsV   #ai #generativeai #genai #futureofwork #creativity #innovation

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Glad to share that Our CTO, Dr.Srinivas Padmanabhuni, was featured in Wipro Lab45's Think Tank podcast series, #Unpacked. In this insightful episode, Arvind Ravishunkar engages in a thought-provoking discussion with Dr. Srinivas, an esteemed AI leader and the innovative mind behind our AI startup, testAIng.com aka aiensured. 1. Unveiling the Hype Around AGI: Dr. Srinivas challenges the current narratives surrounding Artificial General Intelligence (AGI), emphasizing the significant limitations of AI's reasoning capabilities and why traditional logic cannot fully capture human-level reasoning. 2. The Essence of Human-Level Reasoning: Discover the critical role of common sense reasoning in AI. Dr. Srinivas explains why AI struggles with understanding jokes, sarcasm, and metaphors, highlighting the need for a new direction in AI development. 3. The Future of AI: Explore the transformative potential of AI across industries, as Dr. Srinivas and Arvind discuss the importance of ethical and responsible innovation. Don’t miss this compelling episode that offers fresh insights into the world of AI and its future. Listen to the podcast here: [https://lnkd.in/gPEz5V9K) Tune in now and redefine your understanding of AI! #AI #ML #GenAI #Reasoning #InductiveReasoning #LLM #AbductiveReasoning #DedcutiveReasoning #ExpertSystems Vipul Kocher Shiva Kumar Mula Akhila Makam Venkatesh Vachaspathi Madabhushanam Kevin Vincent Sumit Dhakad Shradha Sharma Ankit Pandey Vijaya Kumar Ivaturi José Díaz Dr. Mahesh Kumar CV Derick Jose Vinay Baid Anil Nahata Ramit Manohar Kaul Arihant Chhalani ROHIT BAFNA Sai Krishna Abhijeet Goyal Aastha agarwal sonika bengani

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I love the insights. We're starting to see a new landscape of enterprise search in data. And to your point, I think today's search is even more crazily limited in data / lakehouses (like, come on, regex matches are still the only supported SQL search query in year 2024)

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Looking forward to this panel where Divakar Tantravahi, Meduri Ravi Kumar, and Cosimo Spera will talk about the latest AI technologies that are changing product and customer support, along with their real world examples and practical strategies. If you have not registered, use this link - https://lnkd.in/gdTMgryA #ai #businessoutcomes #product #customer

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Geoffrey Hinton's insights on LLMs are invaluable! I recently came across this video (https://lnkd.in/gSCJdzuH) and I was blown away by the clarity and depth of his explanations. In my opinion, he provides more insight than most of the material I have seen on this topic. If you're interested in learning more about LLMs, I highly recommend checking out this video.

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1. IMO, agent patterns are one of the most interesting ways to extend LLMs. memary is based on leveraging a graph database (neo4j) for long-term memory (to get around the limited memory inherent in even the largest context windows in LLMs) and augmenting it with other tools like web search and Computer Vision. https://lnkd.in/gfFcBqJx Looks interesting. 2. More about how consolidation effects the entire healthcare industry: https://lnkd.in/gXJKqNJB The Change hack/ransomware attack not only affected claims, service, refills, etc. but now CMS & NCQA are delaying the entire HEDIS reporting process (used for Medicare/Medicaid quality ratings) due to the impact. 3. NARA bans ChatGPT use agency-wide. https://lnkd.in/gW8T94JU Federal Government agencies see this as a risk, including their information leaking and being used to train models (which may then output the wrong information or show PII/PHI other proprietary information). 4. Oh great, now I can't even be angry anymore :) https://lnkd.in/gcrN9mjx

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This resonated with me today: "“One flaw of designers (as people) is pretending faster is always better and quick always equals efficient. A fast pace can feel good and productive short-term, but there are many long-term consequences: losing productivity, overlooking important things, and undermining diversity. It is not efficient to move so fast that we exhaust ourselves, overlook the obvious, or break everything along the way, yet we often make that assumption.” It's from Assembling Tomorrow and I highly recommend the book. https://lnkd.in/gK43NueY

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Instacart is a market leader when it comes to leveraging AI tools to boost productivity at work. I had an amazing conversation with JJ Zhuang, Instacart’s Chief Architect, who has shepherded over 50 AI-driven initiatives to market across the org. We explored what catapulted Instacart to the forefront of AI integration, supporting radically diverse use cases across various functional areas. One striking insight (echoed by Ethan Mollick and others elsewhere) is that you often don't need specialized tools for specialized work. Frontier models like GPT-4 can seamlessly adapt to a wide range of functions and use cases. They're not just for engineers; they're incredibly versatile tools used by marketing, comms, and legal teams. From generating code to proofreading and ideation, GPT-4 empowers every department to leverage AI for enhanced productivity and innovation. By integrating LLM’s like GPT-4 into their workflows, teams can streamline processes, automate repetitive tasks, and unlock bandwidth for new creative possibilities. How can you harness the power of AI in your own work to boost productivity? Share your thoughts below 👇 Want to hear more insights from JJ? Check out the full podcast episode by clicking the link in the comments.

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New iterative reasoning technique could improve RAG app accuracy by 50% (vs. Naive RAG)! Another solid example of the rapid innovation cycle on RAG research. BTW, you can quickly find out answers to question like "Why did combining RAG with Fine-Tuning and Iterative Reasoning, such as OODA, improve accuracy by 50 percent?" in Epsilla (YC S23)'s "RAG Research Paper" smart search app at: https://lnkd.in/gVgzpbue , with number of research papers included exceeding 360. #genai #rag #smartsearch #innoation

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[New Pod Drop] I had the pleasure of sitting down with senior product consultant Nishant Kumar to talk product dev, team building, and so much more. Watch here: https://lnkd.in/d5tRMCUU Apple Podcast: https://lnkd.in/dBpWB7JB Spotify: https://lnkd.in/d2bsn8mx Talking points: 👉 The challenge of achieving product-market fit in SaaS companies 👉 Understanding the balance between software development and business needs 👉 Differences in product management strategies for B2B vs. B2C companies 👉 Effective techniques for gathering and utilising customer feedback 👉 Building and managing successful product teams 👉 Exploring the future of product management with generative AI 👉 Insights on the strategic relationship between CPOs and CEOs #unsoldpodcast #contentmarketing #ProductManagement #SaaS #B2B #B2C #CustomerFeedback #TeamBuilding #GenerativeAI #Leadership #Podcast #ProductLeadership #TechTrends #Innovation

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What if your queries required access to multiple sub-related data from different documents, for an LLM to parse and make sense of before returning a coherent and accurate output? We often ask complicated questions, right? 🔹Well to solve this problem, these researchers released Multi-Head RAG (MRAG) which leverages activations of Transformer’s multi-head attention layer, instead of the decoder layer, as keys for fetching multi-aspect documents. They are taking advantage of the fact that multi-head attention can learn to capture different data aspects. 🔹The interesting part is that MRAG is both cost-effective and energy-efficient. In other words, it does not require additional LLM queries, multiple model instances, increased storage, or multiple inference passes over the embedding model. 🔹Moreover, MRAG can be seamlessly integrated with existing RAG frameworks and benchmarking tools like RAGAS as well as different classes of data stores. 🔹The researchers provide a comprehensive evaluation methodology, including specific metrics, synthetic datasets, and real world use cases to demonstrate MRAG’s effectiveness. 🔸Do check it out! #genai #technology #artificialintelligence Click #linkedangle and follow for more content Set the 🔔 notification on my page, don’t miss a post!

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