The Kiln’s Post

Did you know you can delegate time-consuming analysis to the perfect AI assistant (a.k.a. Marvin)? Auto Analysis gives busy researchers like you more time in the day to uncover and share helpful insights! How to use this feature 👇 > Select your project > Navigate to Auto Analysis in the side bar navigation > Click "New auto analysis" > Pick from 8 types of analyses > Answer the additional prompts > Click "Start auto analysis" Then let Marvin work his magic while you grab a second—or third—cup of coffee! ✨

The 7 Deadly Sins of GenAI 🧠💀 Different Use Case + Same Problem = Same Results! My friend and colleague Carlos Escapa asked me to tweak my original meme to reflect the challenges of Generative AI Projects. Let me give you some context 👇 🔸Your CEO is super excited to harness the super powers of LLMs so he gives you the responsibility to build something soon (Management Pressure - 1st Deadly Sin). 🔸The CEO plans to share this with the press as Company X needs to lead this innovation and go faster than its competitors (Ambitious Goal - 2nd Deadly Sin). 🔸CEO says: Don’t care about the use case, just the press release (Weak use case - 3rd Deadly Sin) 🔸Rush, rush, rush, the PoC has to go as soon as possible into production, so please don’t dedicate too much time to other things (Skip Value Analysis - 4th Deadly Sin) 🔸It’s only an use case, automation is overrated… we can think about it in the future, no needed now (Manual Process - 5th Deadly Sin) 🔸Ok, we are ready now! Let’s build it, we are builders, we innovate, let’s go for it (GenAI PoC to prod - 6th Deadly Sin) 🔸Ups, but did we need a Data Strategy first? Why you didn’t say anything to me??? You are fired!!! (Data Strategy - 7th Deadly Sin) So, again same result…. Please, think carefully about this 7 Deadly Sins before starting, it will save you lot of dislikes in the near future. #genai #pitfalls #ai

Thinking about implementing a pricing strategy? Are you unsure if your data is clean/good enough (often it is not)? Check out the AI Pricing Readiness Score!

The Cost of Waiting to Fix Your Profitability A year ago, a business leader told me that he wanted to solve his profitability problem. We couldn't engage to provide him with a solution, because their technical teams decided that there were other more urgent priorities. Today I learned that the problem is still there. A couple of years ago, one of TAZI's champions told me, "If people ask you why they should use AI, ask them about the cost of not using AI. Every day they are not using AI, they are losing money." Do you have problems on predicting and controlling profitability? And every day is important for you? Do you know that you can combine AI and GenAI models, such as churn, price elasticity, VoC and profitability, and drive your business towards a better place every day? Do you know that you can see results in a few weeks? Do you know that GenAI can reduce your training data requirements? Do you know that you can do these even if you don't have a team of experienced IT and data science teams and hundreds of GPUs? I would be so happy to discuss how. Please reach out to me or to info@tazi.ai!

🚀 Evaluate and enhance the quality of your pricing data! Transitioning from manual to automated pricing can unlock up to 20% in additional profit margins. That's why we developed a tool that scores your data, ensuring it's prepared and actionable to improve your pricing strategy with AI. 🌟 How does it work? 1️⃣ Upload your data (use our template or upload your dataset if it fits the requirements) 2️⃣ Our team will analyze it and score it across 4 dimensions 3️⃣ Receive a score report to start developing your pricing strategy 👉 Check it out: https://lnkd.in/daMaHkyF

Thanks for the feature LlamaIndex 😄 Folks, check out this case study on Jazon to learn what happens behind the scenes when you build using Lyzr’s agent framework!

LlamaIndex plays a pretty solid role as part of Lyzr AI's infra stack. 1) Context augmentation: They help with providing better context with RAG. 2) Custom data access: Their data connectors help in accessing customer-specific information. Their huge library of connectors helps connect no matter where the customer stores their data. 3) Flexible retrieval: We use their customizable retrieval methods to optimize performance for different use cases. Looking to partner with AI infra companies with complementing use cases. #lyzr #llamaindex

Imagine flipping through data faster than a speed-reader on a mission! 🚀 With ChadGPT, you tap into AI that's like a data whiz, making sense of numbers in a snap so you can make smart decisions quick. 🧠✨ Ready to leave slowpoke analysis in the dust? Let's chat at chadgpt.com! 💬 #AIRevolution #DataAnalysis #Productivity

Introducing esynergy's Sales Copilot - an AI assistant supercharging sales teams built with LangChain and DataStax Astra. Sales Copilot ingests customer data, encodes it into #vectors, and indexes in #AstraDB for lightning-fast retrieval. When a rep asks a query, it fetches the most relevant information and generates a contextual response with #Claude2. Say goodbye to manually hunting for customer details! Sales Copilot puts the power of data-driven insights at your fingertips, elevating customer conversations. Check out our blog to learn how we leveraged open-source #AI to create this game-changing sales tool. https://bit.ly/3IBSvLv

AI for our businesses? We want it like yesterday! 🚀 Let’s roll out Copilot, slap on some GPT magic… and yet, here we are, playing matchmaker between AI and a bunch of dusty Excel sheets and PDFs. 📊🤖 Sure, the high-tech wizardry we’re using is cool, but it’s like putting a jet engine on a horse and cart, still stuck in the same old legacy data barns. 🐴✈️ Meanwhile, some teams are burning through budgets like they’re at a tech buffet, piling on datawarehouses, lakes, and platforms, hoping to move forward. But in the end, we're still duct-taping our ancient spreadsheets to the AI brain. 🛠️🧠 Maybe, just maybe, we should consider tidying up our data closets before we try to build the AI mansion of our dreams. 🏠💾 After all, even the shiniest AI can’t outrun a messy data trail! ✨🚶♂️ 🤔 Let's have a chat if you'd like to know more about what's going on beneath the surface... #Data #AI #DataLuxembourg