7 Days of Data Truths | Day 4 — Speed vs Precision AI demands speed. Businesses want models yesterday. But here’s the paradox: fast labeling without precision is a ticking time bomb. At NotedMark, we marry speed with uncompromising accuracy — because we know cutting corners at the start costs fortunes at the end. Data labeling isn’t about how fast you can tick boxes. It’s about how precisely you can train intelligence to think, act, and decide. Would you rather ship fast and fail… or build right and dominate? Exactly 💭 If you were leading an AI project, what would you prioritize first — speed or precision? ⚡ Stay tuned for Day 5: The Human Touch in Machine Learning. #ArtificialIntelligence #dataprecision #dataaccuracy #7DaysOfDataTruth
Speed vs Precision in AI: NotedMark's Approach
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⚡ In AI, speed gets the spotlight, but without precision, it’s just a fast track to failure. At NotedMark, we’ve learned that true impact comes from balancing speed with accuracy. That’s how you build models that last, not just launch. If you were leading an AI project today, what would you choose first: speed or precision? #AI #DataQuality #MachineLearning
7 Days of Data Truths | Day 4 — Speed vs Precision AI demands speed. Businesses want models yesterday. But here’s the paradox: fast labeling without precision is a ticking time bomb. At NotedMark, we marry speed with uncompromising accuracy — because we know cutting corners at the start costs fortunes at the end. Data labeling isn’t about how fast you can tick boxes. It’s about how precisely you can train intelligence to think, act, and decide. Would you rather ship fast and fail… or build right and dominate? Exactly 💭 If you were leading an AI project, what would you prioritize first — speed or precision? ⚡ Stay tuned for Day 5: The Human Touch in Machine Learning. #ArtificialIntelligence #dataprecision #dataaccuracy #7DaysOfDataTruth
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It’s all about data. Right now, everyone’s talking about AI, GenAI, and Agents. But here’s the reality: it all starts (and ends) with data. Garbage in → Garbage out. Always. Machine Learning + bad data = bad outcomes AI + bad data = flawed intelligence GenAI + bad data = misleading insights Agents + bad data = automation gone wrong At QuantiByteX, we believe: Before building “smart” systems, fix your data. Only then can AI truly create impact. #DataDriven #AI #GenAI #Agents #DataQuality #MachineLearning #QuantiByteX #Innovation #DataScience
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Senior Expert | Industrial Automation | Digital Transformation | Pharmaceutical Industry at Orise
Everyone is talking about AI in industry, but how do you know which kind of AI will actually deliver results on the shop floor? AI is not one thing, it's a blanket term for many different approaches. Knowing which type of AI to use (and when) is the key to real results. So here's the 3 main types I see as important to be aware of to use with your industrial data: 1️⃣ Machine Learning: Helps you spot process deviations early, reducing downtime. 2️⃣ Generative and Agentic AI: Gives users faster answers without needing to dig through separate sources and dashboards. 3️⃣ RAG: Turns your existing SOPs and documentation into a searchable assistant, cutting troubleshooting time. I’ve broken down each type with examples and explanations in the carousel below 👇 Myself and James Syder will be sharing some demo videos this week to show these in action, so stay tuned! #MachineLearning #GenerativeAI #RetrievalAugmentedGeneration #IndustrialAI #Manufacturing #ArtificialIntelligence
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✅ Answer: A) Model learns too much noise Overfitting happens when an AI model learns patterns that don’t generalize well. Data cleaning & regularization can fix it. #aiml #machinelearning #dataanalytics #techquiz #productdevelopment
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Global Strategic Account Manager at F5 (F5, NGiNX, Volterra & Shape Security), Professional Race Car Driver, Team Owner & Brand Ambassador
Generative AI grabs headlines, but predictive AI transforms business. Learn why ops and sales teams should seek better recipes—not word salad—for enterprise efficiency and impact. 📈 http://ms.spr.ly/6045sWOP1 #PredictiveAI #BusinessEfficiency #MachingLearning
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At Impact Outsourcing, we believe speed and intelligence don’t happen by accident they’re built on the foundation of precise, human-driven data annotation. Every pixel labeled, every dataset refined, accelerates how machines understand the world. That’s how we turn raw data into reliable intelligence and why leading organizations trust us to fuel their AI. Because when the future is racing forward, only the right data can keep you ahead. #DataAnnotation #AITraining #MachineLearning #ImpactOutsourcing #SmartData
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Connect, Protect, and Scale Applications and APIs with F5 Across Hybrid and Multi-Cloud Environments | #DACH
Generative AI grabs headlines, but predictive AI transforms business. Learn why ops and sales teams should seek better recipes—not word salad—for enterprise efficiency and impact. 📈 http://ms.spr.ly/6040smTTI #PredictiveAI #BusinessEfficiency #MachingLearning
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Here's what I've been discovering about AI agents lately: that +13% performance gap between agents with and without Knowledge Graphs is absolutely game-changing! 🤯 Traditional AI agents solve about 71% of tasks, but when you integrate Knowledge Graphs, that success rate jumps to 84%. That difference isn't just numbers—it's the gap between frustration and trust in your AI systems. Here's why this matters: LLMs struggle with three critical issues: • They forget context between sessions • They hallucinate facts without sources • They get overwhelmed by too many tools Knowledge Graphs solve this by creating a structured brain map for your agents. Think of it as: 🔹 Nodes = real entities (people, companies, events) 🔹 Edges = relationships between them 🔹 Provenance = trusted sources for every fact The result? Agents that actually remember, reason reliably, and plan intelligently across multiple sessions. I'm curious—have any of you experimented with Knowledge Graphs in your AI workflows? What challenges or successes have you found? Would love to hear your experiences in the comments! 👇 #AIagents #KnowledgeGraphs #MachineLearning #LLM #ArtificialIntelligence #TechInnovation
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Day 1: AI is transforming how businesses see their data. Imagine turning endless spreadsheets into clear, actionable insights you can use right away. How could better data visibility level up your decisions? #AIforBusiness
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Day 1: AI is transforming how businesses see their data. Imagine turning endless spreadsheets into clear, actionable insights you can use right away. How could better data visibility level up your decisions? #AIforBusiness
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