Today, Generative AI excels with unstructured data but struggles with structured data – like databases. Satalia’s Text-To-SQL AI solution enables anyone to quickly query live structured datasets and gain insights using natural language, no matter where the data is hosted. This is powered by Satalia’s proprietary agentic retrieval technology. #GenerativeAI #ArtificialIntelligence #DataAnalytics #BusinessIntelligence #NaturalLanguageProcessing #AI
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AI is one of the hottest growth channels within marketing today and Satalia is driving the core of this AI growth for WPP, our clients & their business outcomes. Our latest Text-To-SQL solution empowers non technical users to easily gain insights from large structured data like databases. Why does that matter? It’s pretty tricky to gain the same results today without this solution (time, resource, expertise costs). What does this look like? Campaign planning, media strategy, competitor analysis & many other insights across use cases delivered with expert precision at rapid speed. What’s so cool about this for me? It’s been great to see our team develop this proprietary agentic retrieval technology which is industry leading. 80% of the team at Satalia have PHD’s and it’s been great translating these technical superpowers into client benefits and watching the impact this has on WPP clients ROAS (Return On Ad Spend) & other success metrics. More to come, for sure!! 🚀 Appreciate you Jade Wood Alexandros Baltas Rachel Bell (& many more who I can't seem to find to tag 😅 ) #GenAI #AdvancedAI #CuttingEdgeTechnology #Marketing #AgenticAI #NaturalLanguageProcessing #Innovation #GenerativeAIForMarketing
Today, Generative AI excels with unstructured data but struggles with structured data – like databases. Satalia’s Text-To-SQL AI solution enables anyone to quickly query live structured datasets and gain insights using natural language, no matter where the data is hosted. This is powered by Satalia’s proprietary agentic retrieval technology. #GenerativeAI #ArtificialIntelligence #DataAnalytics #BusinessIntelligence #NaturalLanguageProcessing #AI
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How do you ask a database a question? Satalia’s new Text-To-SQL tool, powered by Satalia’s proprietary agentic retrieval technology, means that anyone in the marketing supply chain can interrogate large datasets in natural language, retrieving useful insights at speed. Available through WPP’s intelligent marketing operating system, WPP Open, the new tool will democratise access to data and enable non-technical users to benefit across a range of use cases such as media planning, campaign strategy and competitor analysis. See the new tool in action below 👇 And find out how else WPP is using agentic #AI to transform how marketing is done 👉 https://bit.ly/4fg6DaY
Today, Generative AI excels with unstructured data but struggles with structured data – like databases. Satalia’s Text-To-SQL AI solution enables anyone to quickly query live structured datasets and gain insights using natural language, no matter where the data is hosted. This is powered by Satalia’s proprietary agentic retrieval technology. #GenerativeAI #ArtificialIntelligence #DataAnalytics #BusinessIntelligence #NaturalLanguageProcessing #AI
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Elevate Your Data Game with Aethos Labs 🌟 At Aethos Labs, we’re transforming how organizations engage with their data. Our generative AI solutions distill complex information into clear, actionable insights, helping you make swift, informed decisions with confidence. 🔍 What We Offer: ▪️ Natural Language Processing: Effortlessly interact with complex datasets as if you’re talking to a knowledgeable expert. ▪️ Sector-Specific Solutions: Custom-built for the finance and energy transition industries. ▪️ Real-Time Insights: Keep your edge with up-to-date market data and emerging trends. Learn how Aethos Labs can redefine your data approach: https://hubs.li/Q02Snx_X0 #DataDriven #AI #Analytics
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RAG is transforming the way we interact with AI by combining the power of retrieval with generation. Here’s how it works: 1️⃣ Retrieve: The process starts by embedding your query and using a vector database to retrieve relevant information or context. 2️⃣ Augment: The retrieved context is added to the query, creating an effective, information-rich prompt. 3️⃣ Generate: Finally, the enhanced prompt is processed by an LLM (Large Language Model) to deliver accurate and contextually aware responses. We’re exploring how RAG can enhance efficiency and improve outcomes in AI-driven solutions. Would you like to learn more about how this powerful combination of retrieval and generation can work for your business? Let's connect! #AI #RAG #MachineLearning #ArtificialIntelligence #DataScience
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🚀 Exciting New Frontiers in Data Interaction! 🚀 Imagine talking directly to databases as you would a colleague! Emerging conversational AI technologies such as LLMs are integrating with legacy database systems, allowing researchers and professionals to interact with their data through natural language. This breakthrough is not just enhancing accessibility but also speeding up data retrieval, analysis, and decision-making. The future of research looks promising as these intelligent systems promise to simplify complex data handling, making insights more immediate and actionable. #DataScience #AI #Innovation #TechTrends #ResearchRevolution
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Businesses need accurate, cost-effective, and scalable solutions to extract meaningful insights from vast data. Retrieval-Augmented Generation (RAG) enhances large language models by integrating them with retrieval systems, boosting their ability to deliver precise and actionable information. Read Further :-https://okt.to/EXuYyA #DataInsights #AI #MachineLearning #RAG #TechInnovation #BusinessSolutions #DataAnalytics #LanguageModels #ScalableTech #RetrievalAugmentedGeneration
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Traditional RAG vs HyDE.. Note 👇👇👇 ✅ Retrieval-augmented generation (RAG) is a technique for enhancing the accuracy and reliability of generative AI models with facts fetched from external sources. 👉 👉 👉 Vs ✅ HyDE uses Language Models (LLMs) to generate hypothetical documents, making information retrieval more precise. It doesn't rely on extensive labeled data, making it a valuable tool when training data is limited. #RAG #HyDE #information #ai #DATASCIENCE #machinelearning #algorithm
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◇ Scaling large language models (LLMs) has reached a limit. Adding more compute doesn't improve pre-training much anymore. ◇ We're running out of useful data. Synthetic data isn't helping enough. - Focus on real-world impact - Fresh ideas over old pitches #data #compute #llms #genai #artificialintelligence #ai #agenticai
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Langchain vs. LlamaIndex : A Comparison 🔹 Langchain is a versatile framework that simplifies the creation of AI applications using LLMs, offering broad flexibility and foundational language processing capabilities. 🔹 LlamaIndex specializes in making data accessible and usable, particularly for document search and summarization, by linking data sources to LLMs and query engines, though it may depend on frameworks like Langchain for some functionalities. #GenAI #LLM #RAG #Langchain #LlamaIndex #AI #datascience #Machinelearning Reference : https://lnkd.in/gW73nFKD
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Check out the latest innovation for #datamanagement, with a new #data self-service with CLAIRE GPT, a game-changing tool that allows end users to talk to their data with natural language. Here's a snippet of our demo video that explains how you can: ✅ Utilize natural language for queries 🚀 Boost productivity with AI 💡 Gain instant, actionable insights Full video at our demo centre page here: https://infa.media/47yVzUr #AI #NaturalLanguage, #datawrangling #data #selfservice
Claire GPT: Talk to your data using natural language
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Lovely! Annamalai A.