KNIME

KNIME Analytics Platform 5.3 is here! Join the #KNIME Team for a #webinar on July 23 to hear about the latest updates, including the new workflow monitor for faster debugging, a multi-purpose data manipulation node with AI assistance, and new features to work securely with the latest GenAI advancements. Sign up for the “What’s New in KNIME Analytics Platform 5.3” webinar 👉 https://brnw.ch/21wLevf

One of the reasons detecting fraud is tough is because fraudsters are constantly changing their tactics. But DBSCAN is an effective technique because it can automatically detect clusters of normal behavior and highlight anomalies without needing detailed prior knowledge about the fraud patterns. 💰🔍 In this #KNIMEforFinance article, save time on complex configurations and external plugins you’d need to perform #DBSCAN in Excel, and learn how to use KNIME’s intuitive #lowcode integration: https://brnw.ch/21wLkby

Our solution to last week’s #JustKNIMEIt challenge just came out! (https://brnw.ch/21wLk4h) We hope you had fun learning about the KNIME Web Extension and were able to gather some nice #finance insights! As usual, our community went above and beyond with this challenge – it was not easy to choose just a few highlights! 🤩 Watch the video below to learn more about different solutions to this #data problem. See you tomorrow for a challenge on typo corrections! ✏️ #lowcode #nocode #KNIME #opensource

LLMs have burst into the #GenAI scene, which continues to be diverse and fast-growing. For curious developers, hobbyists, or businesses, open source LLMs can offer efficiency in both deployment and cost — in a collaborative, transparent way. 🤖 Interested in exploring #opensource #LLMs (that you can even connect to KNIME)? Check out these resources, courtesy of KNIME data scientist Roberto Daniele Cadili: 🦙 Vicuna - LMSYS: Optimized for detailed text comprehension, flexible for varied use cases, and excels in language modeling and text completion. ♾️ Llama 3 - Meta AI: Very versatile. It excels in text generation, translation, and summarization, and effectively handles conversations, giving contextually appropriate responses in chat applications. Outperforms many chat models on standard tests. 🧱 Mixtral 8x22 - Mistral AI: Exceptional proficiency in math and coding tasks, and has a unique architecture and diverse datasets to enhance language understanding and generation. Its strong computational efficiency makes it ideal for varied NLP tasks. 🌸 Bloom - BigScience: High multi-language support (46 natural and 13 programming languages) and large global collaboration of 1,000 researchers from 70+ countries across 250+ institutions, all while considering inclusivity, diversity, and responsibility in its dataset curation, modeling, and evaluation. 🦅 Falcon - UAE’s TII: Superior performance in language tasks due to extensive training and robust architecture, capturing intricate linguistic patterns. Maintains efficiency and scalability for diverse NLP applications despite its size. And to highlight additional accessibility, did you know that with KNIME's Hugging Face node, you can connect to open source models via API 🌐, and through Ollama, you can connect with open-source models locally? See this workflow: https://lnkd.in/dSS-tz4G

Have you tried the Expression node, added in our latest release? This new, multi-purpose node allows you to work with numbers and text, just like you would with spreadsheet formulas. 🧮🔢 (Combining various nodes like String Manipulation, Math Formula, and others.) The node also comes with optional #AI assistance that helps you accomplish custom data manipulation through a simple chat interface. Learn more about the Expression node and more new features here: https://lnkd.in/dewBHhny #KNIME #release #AI #datascience

Have you completed this week’s #JUSTKNIMEIt challenge? 💰 Learn about #webscraping in a #lowcode way. See it here: https://brnw.ch/21wLh68 📌 Don’t forget to tag your solution with JKISeason3-9 and upload it to your public space on #KNIME Community Hub so that it counts toward our 🏆 #leaderboard.

📢 A new ebook is out for everyone looking to unlock #SAP Data in #KNIME, written by Jie Zhao! This book shows how the KNIME Connector for SAP (KCS extension, developed by DVW Analytics) bridges the gap between the various SAP applications and KNIME, allowing KNIME users to include SAP data in their data blending activities without the need for additional hardware and infrastructure. Download now 📚👉 https://lnkd.in/gMGzFbzu

📢 Two weeks to go! Don’t miss the opportunity to hear about the practical application of #lowcode data science with experts at #KNIMEDataHop event on July 25 in #Frankfurt. Join conversations about the latest innovations, and connect with data and domain experts across industries and disciplines. Get more details here 👉 https://brnw.ch/21wLeRn #KNIME #datascience

📣 We are excited to announce that the latest version of KNIME Analytics Platform is now available. 🎉 This new version features a new workflow monitor for faster debugging, a multi-purpose data manipulation node with AI assistance, new features to work securely with the latest GenAI advancements, and more. Get details about these and other major updates on our blog: https://brnw.ch/21wLdLe Have questions? Join our “What’s New” webinar on July 23 and hear directly from the KNIME development team. https://brnw.ch/21wLdLd #KNIMErelease #KNIME #datascience #genai #ai

You’re more interested in #finance these days, and also want to learn more about #webscraping for work. 💰 Why not unite both interests? Dive into this week’s #JustKNIMEIt challenge and learn how to #webscrape and make sense of #data the #lowcode way. Check the challenge in detail here ➡ https://brnw.ch/21wLdI9 ⚡ Remember to tag your solution with JKISeason3-9 and upload it to your public space on #KNIME Community Hub so that it counts toward our 🏆 #leaderboard.