The Closed AI’s Post

🚀 Dive into the future of AI with our “Towards AGI” newsletter! Stay ahead with the latest breakthroughs, expert insights, and pioneering work in Artificial Intelligence. Perfect for researchers, developers, and enthusiasts eager to explore the rapidly evolving field of General AI. Join our community and navigate the complex landscape of AI together. Subscribe now!

🚀 Dive into the future of AI with our "Towards AGI" newsletter! Stay ahead with the latest breakthroughs, expert insights, and pioneering work in Artificial Intelligence. Perfect for researchers, developers, and enthusiasts eager to explore the rapidly evolving field of General AI. Join our community and navigate the complex landscape of AI together. Subscribe now!

Before you go headlong into your next RFP or grant application response using AI... think twice! Using best practices when using AI is imperative to a winning application. 💡 🌐 🎯

In an era where data drives decisions, Munish Goswami highlights the transformative power of AI in analytics. Discover how AI is redefining business intelligence and enabling dynamic, self-service solutions. Read more here: https://okt.to/jhQsL9

To advance actionable insights, automation and innovations across workflows with the power of AI, a foundational stack is what powers the flexibility to deliver AI applications across any workflow. Our last blog explores the foundational stack for applied AI and how Ovonts is contributing. We are doing some contextually relevant work to shape the future of human-machine interaction advancing workflows. #generativeAI #genAI #explainableAI #AI #appliedAI #Ovonts #weareovonts #ML #data

🚀 Excited to share our latest article on Medium: "The Missing Link Between Generative AI PoCs and Scalability", co-authored with Mirko Stanić and Achille Biock. 🔗 https://lnkd.in/eNAnP2qN 🧠 In this piece, we delve into the crucial connection often overlooked in Generative AI Proof of Concepts (PoCs) - scalability. Discover how to bridge the gap and ensure your AI initiatives can thrive in real-world scenarios. 💡 Whether you're a data scientist, AI enthusiast, or tech leader, this article provides valuable insights to elevate your understanding and implementation of Generative AI. 📝 Read it now and let's spark a conversation about scaling AI innovation! #AI #MachineLearning #GenerativeAI #TechInnovation

Powerful AI models are impressive, but what brings them to life? The foundational stack - the unsung hero of applied AI! In our latest blog, we explore: ✓Why a strong foundation is crucial for successful AI applications. ✓The skills needed beyond just AI/ML expertise. ✓How Ovonts contributes to a robust & explainable AI stack. The future of AI depends on a solid foundation! Read the full blog & share your thoughts! #AI #FoundationalStack #ExplainableAI #Ovonts #FutureofAI #generativeAI

💡Interesting read on the value of knowledge graphs 🌐 Since joining ONTOFORCE two years ago, I've witnessed their significance skyrocket. As AI and ML take the spotlight, knowledge graphs have become indispensable. "The two biggest movers in this year’s Hype Cycle, AI engineering and knowledge graphs, highlight the need for means of handling AI models at scale in a robust manner." "Knowledge graphs provide dependable logic and explainable reasoning, in contrast to the fallible, yet powerful, predictive capabilities of the deep-learning techniques used by GenAI." by Haritha Khandabattu at Gartner 🧠 #KnowledgeGraphs #AI #ML #ONTOFORCE

🔍 Discover game-changing insights with Outlier Scale AI! 🚀 Harnessing advanced algorithms, it sifts through data to pinpoint outliers and trends, empowering smarter decisions. 📊💡 Elevate your analytics game with precision and efficiency! #OutlierScaleAI #DataAnalytics

From blackbox models to transparency considerations: as AI takes a more critical role in our lives, the transparency and explainability of its models become of essence. Evolution.inc's AI-for-AI platform, Earth, significantly increases transparency and explainability. Want to learn more about AI-for-AI? Here's how it can achieve it: 1) Choosing a model involves trade-offs: some models are black boxes, while others are transparent. Although black box models may perform better, they lack transparency. However, thanks to the capabilities of Earth, we can opt for less accurate but transparent models and still enhance their accuracy using Earth's genetic algorithm capabilities. 2) Various methods exist to achieve transparency and explainability, such as feature importance, correlation, and sensitivity. Through evolutionary algorithms, we can incorporate multiple methods to enhance explainability and transparency. 3) Earth is a Generative AI platform that produces code. The product's result isn't simply a black box model but an open-source code for a complete AI solution. With the Python source code, users can understand the methods we selected and how we implemented them. Check out this McKinsey & Company article entitled "Why businesses need explainable AI—and how to deliver it". #explainableai #transparency #ai #aiforall #aiforenterprise #aiforceos #generativeai https://lnkd.in/dGvngTna