Converseon’s Post

"Is your company's data ready for Generative AI" is one of the most crucial and challenging questions when designing any AI-enriched content or product strategy. It is crucial as AI-ready data has to be usable, utile and relevant. It is challenging as data management implies creating and following a set of business processes, from acquisition to delivery and all steps in between. People who have been or are working in data science and business intelligence environments are well prepared for this. And they will find allies among language experts to ensure data for AI meets functional, linguistic and cultural requirements. #AI #artificialintelligence #datamanagement #generativeai #contentstrategy #contentoperations

A few great quotes from Uri Yerushalmi's article in Nasdaq, giving a deeper understanding of how Fetcherr is working with airlines to optimize their #pricing strategy. "Building upon the foundations of generative AI, Large Market Models (LMMs) employ a sophisticated array of Deep Learning techniques akin to those found in renowned models like GPT and DALL-E. However, instead of generating textual or visual content, LMMs are designed to generate intricate representations of market dynamics." "By analyzing and synthesizing vast datasets, LMMs can construct highly accurate models of market ecosystems, enabling businesses to anticipate changes, understand competitor strategies, and tailor their approaches to meet evolving market demands." "The rise of this technology marks a new era in business decision-making, where human intellect collaborates with AI efficiency. It's not about replacing human judgment but enhancing it." https://lnkd.in/eF6sRvCJ #ai #airlines #GenAI #pricingoptimization

Are you an IT leader or know someone who is? Check out this must-read revealing how to bridge the gap to real-world AI with the help of data integration. https://infa.media/4a87qs1 #DataIntegration #AI

🚀 Start Your Generative AI Journey with Top 5 RAG Tools! 🚀 Retrieval-Augmented Generation (RAG) is revolutionizing how we enhance AI responses, making them more accurate and relevant. In my latest blog post, I explore the fundamentals of RAG, explaining how it improves AI responses by integrating up-to-date information. I break down the RAG process, detailing the workflow and the essential steps involved. Additionally, I introduce the top 5 RAG tools: ➡ LangChain: Known for its flexible integrations and extensible architecture ➡ LlamaIndex: This allows natural language queries for intuitive data access ➡ Haystack: An open-source framework for building powerful search systems ➡ RAGatouille: This focuses on dynamic knowledge integration ➡ EmbedChain: Designed for efficient embedding management. I conclude with a summary of these tools and their significance in enhancing AI projects, along with additional resources for further learning. Check out the full blog for insights and guidance on integrating these powerful RAG tools!  #AI #GenerativeAI #RAG #MachineLearning #LangChain #LlamaIndex #Haystack #RAGatouille #EmbedChain https://lnkd.in/dPUWT_v8

Are you an IT leader or know someone who is? Check out this must-read revealing how to bridge the gap to real-world AI with the help of data integration. https://infa.media/4a87qs1 #DataIntegration #AI

Imagine being able to ask a database any question, without needing to know complex codes! That's what Text-to-SQL conversion does, making data accessible to everyone. But, it's a tough nut to crack, especially with complex databases and tricky user questions. Meet MAG-SQL, a game-changing approach that's achieved 61% accuracy on the challenging BIRD dataset. By combining the power of AI and multi-agent learning, MAG-SQL is paving the way for more efficient and accurate data interactions. Read the full paper to learn more about this breakthrough: (Link in Comments) #TextToSQL #DataAnalysis #DataAccessibility #AI

In the realm of AI, most of us know that data is king. But are you maximising its potential? Let's talk about the difference between structured and unstructured data: 🔍 Structured Data: Think databases and spreadsheets—easy to analyse but lacking real-world context. 🌟 Unstructured Data: Text, images, videos—the goldmine for insights, if you know how to tap into it. To truly harness AI's power, we need to integrate both. How are you leveraging structured and unstructured data in your AI strategy? 🤔 #AI #DataAnalytics #UnlockInsights

Watch IT Glue's webinar with Wendy Har, Kaseya, and Jim Rapoza, Aberdeen Strategy & Research, to get key insights into: ☑️ The building blocks you need to automate, consolidate and integrate with intelligent IT documentation ☑️ Discover the benefits of controlling IT information sprawl ☑️ How to eliminate the noise around your documentation ☑️ How to convert unstructured data from multiple sources into structured, meaningful and actionable information #webinar #AI #documentation #IT

Check out our CTO, Ben Kus, is this interview on the Unsolicited Feedback podcast! There's some great info in there about how to think about AI, reliability, and unstructured data. #ai #unstructured #data