LinQuest’s Post

DataCube Research Centre Limited, a subsidiary of CITD, is at the forefront of big data modelling and predictive analytics. Our team of seasoned data scientists and system developers is dedicated to uncovering hidden insights and emerging trends for businesses across industries. 𝐓𝐨 𝐥𝐞𝐚𝐫𝐧 𝐦𝐨𝐫𝐞, 𝐯𝐢𝐬𝐢𝐭: citd.com.hk Julian So | Joshua Chu (朱喬華) | Getty Goh #DataCube #BigData #data #tech #web3 #AI #ArtificialIntelligence #BusinessSolutions #Integration #Research #PredictiveAnalytics #DataScience #BusinessInsights #Insights #BusinessTrends

Introducing The Z by HP AI Studio – Your Centralized Data Science Platform.   At HP, we envision a future where data science teams can thrive despite these obstacles. Enter the Z by HP AI Studio, our innovative Data Science Platform designed to revolutionize your data-driven endeavors.   The core concept is simple yet powerful: centralize all your data, tools, team members, and projects onto a single, cohesive platform. This unified environment grants you seamless access and enables effortless sharing of data, templates, and experiments with your team. Consequently, you can redirect your efforts away from tedious operational tasks, allowing you to focus on what truly matters – generating valuable insights.   Does this sound intriguing? Read more at:   https://lnkd.in/gHgG8yPV   #DataScience #MachineLearning #DeepLearning #zbyhp #EdgeComputing #WSL2 #Innovation #Productivity #Efficiency #digitaltransformation #imagine #aistudio #ZbyHPAIStudio #AI

💡ML In Real World: Beyond Standard Metrics 🤔 I have been thinking about measuring ML model performance in the real world vs. in the lab. As data scientists we are all familiar with common metrics like accuracy/precision/recall/AUC. But in real world to get stakeholders buy-in, you often need to go beyond those metrics. 💰In the real world, success is intricately tied to understanding the potential business impacts of a model – the financial costs it incurs and the savings it generates. Moreover, it's about aligning with a company's tech capacity, ensuring that the innovation seamlessly integrates with existing infrastructures. #MachineLearning #DataScience #RealWorldImpact #BusinessMetrics

🌟 Exciting Facts about Data Science, Machine Learning, and Artificial Intelligence 🌟 Did you know that 90% of the world's data has been generated in the last two years alone? 📊🌍 This extraordinary growth is driving the demand for skilled professionals in Data Science, Machine Learning, and Artificial Intelligence. 💡 Embracing these fields can open doors to limitless possibilities and revolutionize industries worldwide. Let's seize the opportunity to unlock the true potential of data-driven innovation! 💪🔓 #DataScience #MachineLearning #ArtificialIntelligence #Innovation #DigitalTransformation #FutureOfTechnology 🚀

This combination allowed for the handling of vast datasets with precision and ensured that the simulation model was both powerful and adaptable to future technological advancements. Read more 👉 https://lttr.ai/AUZpe #UnderstandDataScience #PersonalData #LarryGoldstein #TransformingBusiness #DataScience #ReshapingModernEnterprises #UnlockTransformativeInsights #HandleLargeVolumes #CompanyTechnologicalLeadership #Applications—FromFinancialServices

🤔 Understanding #DataScience terms can be tricky, but it's key to grasping the power of HEAVY.AI. Don't worry, we are here to help! Our comprehensive technical glossary breaks down complex terms related to #DataAnalysis, #GPUs, #GeospatialData, and more! We want our technology to be accessible to everyone, no matter your technical background. 🔍 Explore this one-stop shop for understanding how HEAVY.AI empowers faster, smarter data analysis: https://bit.ly/3QsNTf9 Let us know in the comments what new term you discovered! #DemystifyingData

Very interesting talk on how #GenerativeAI will support #Data & #Analytics world and what will be the main benefits for data management, business intelligence and data science. In my opinion it is fundamental to understand that, apart from the important use case that sees the various business end users using natural language queries to extract insights from company data: 1 - the foundation of GenAI's support will focus very much on increasing technical profiles productivity (Data Engineers and Data Scientists), 2 - training various #LLMs with all company data will also require a big semantic and syntactic management effort in the metadata preparation just to take the greatest possible advantage. I would love to hear your opinion on this topic so feel free to share your comments below.

A cutting-edge approach to scaling data quality has emerged with the application of computer vision on spatial data. This innovative solution, detailed in a recent article, focuses on leveraging computer vision techniques to enhance the accuracy and reliability of spatial data. By incorporating advanced visual analysis, organizations can optimize their data quality processes, particularly in scenarios where spatial data plays a crucial role. This signifies a significant advancement in data management, highlighting the synergy between computer vision and spatial data for improved precision. https://lnkd.in/ghHpBpFx #DataQuality #ComputerVision #SpatialData #DataManagement #InnovationInData #AdvancedAnalytics #DataAccuracy #VisualAnalysis #TechSolutions #DataScaling #UnderstandingEnterpriseTech #EnterpriseTechnologyNow #EnterpriseTechnologyToday

"Did you know that the global demand for data scientists is expected to rise by 28% by 2020? Embracing the world of data science, machine learning, and artificial intelligence opens up limitless opportunities for innovation and problem-solving. As we continually explore and learn, we contribute to shaping the future of technology. Let's stay committed to expanding our knowledge and skills in this dynamic field. #DataScience #MachineLearning #ArtificialIntelligence #Innovation #TechTrends #NeverStopLearning"

My #AwsReInvent talk is out! Check out how you can Accelerate #GenAI development with integrated #data platforms!